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YI_SHEN_zotero.csv
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"Key","Item Type","Publication Year","Author","Title","Publication Title","ISBN","ISSN","DOI","Url","Abstract Note","Date","Date Added","Date Modified","Access Date","Pages","Num Pages","Issue","Volume","Number Of Volumes","Journal Abbreviation","Short Title","Series","Series Number","Series Text","Series Title","Publisher","Place","Language","Rights","Type","Archive","Archive Location","Library Catalog","Call Number","Extra","Notes","File Attachments","Link Attachments","Manual Tags","Automatic Tags","Editor","Series Editor","Translator","Contributor","Attorney Agent","Book Author","Cast Member","Commenter","Composer","Cosponsor","Counsel","Interviewer","Producer","Recipient","Reviewed Author","Scriptwriter","Words By","Guest","Number","Edition","Running Time","Scale","Medium","Artwork Size","Filing Date","Application Number","Assignee","Issuing Authority","Country","Meeting Name","Conference Name","Court","References","Reporter","Legal Status","Priority Numbers","Programming Language","Version","System","Code","Code Number","Section","Session","Committee","History","Legislative Body"
"SE7C7WLT","webpage","","","Video: Why Is Measuring Learning So Difficult?","","","","","https://er.educause.edu:443/multimedia/2015/8/why-is-measuring-learning-so-difficult-v","From analytics to teaching and learning, several higher ed professionals weigh in on the challenge of attempting to measure comprehension.","","2017-10-06 03:27:55","2017-10-06 03:27:55","2017-10-06 03:27:55","","","","","","","Video","","","","","","","","","","","","","","","<p>Why is measuring learning so difficult? As far as I am concerned, learning is a complex process which contains many components, such as human cognition, social and culture influence. Also, learning happens everywhere and any time. It is hard for people to actually capture the learning data. What people can do is to capture and record the behavior and outcomes of learning. However, the learning process in people’s head is really difficult to measure.</p>","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"73FB5JUU","webpage","2017","","Chapter 1","Society for Learning Analytics Research (SoLAR)","","","","https://solaresearch.org/hla-17/hla17-chapter1/","Handbook of Learning Analytics First Edition Theory and Learning Analytics Simon Knight & Simon Buckingham Shum Download Book Download Chapter Download Chapter Download Book Abstract The challe…","2017-03-25","2017-10-06 03:30:02","2017-10-06 03:30:02","2017-10-06 03:30:02","","","","","","","","","","","","","","","","","","","","","","<p>Dr. Knight and Dr. Shum offers us with insightful understandings of learning analytics. They put forward a triadic depiction of the relationship between elements of theory and practice in the development of learning analytic techniques, which is of great help to me. As learning is a complex process, there are a lot of implicit claims we should be aware of when doing the assessment. Dr. Knight and Shum raised six questions to better understand measurement. We measure what we value.</p>","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"8ZZG8FVB","webpage","2017","","Chapter 4","Society for Learning Analytics Research (SoLAR)","","","","https://solaresearch.org/hla-17/hla17-chapter4/","Handbook of Learning Analytics First Edition Ethics and Learning Analytics: Charting the (Un)Charted Paul Prinsloo & Sharon Slade Download Chapter Download Book Abstract As the field of learnin…","2017-05-10","2017-10-06 03:31:58","2017-10-06 03:31:58","2017-10-06 03:31:58","","","","","","","","","","","","","","","","","","","","","","<p>As far as I am concerned, it is important for Learning Analytics researchers to keep the moral code in mind because learning analytics is a means of doing something to the student without that student necessarily knowing further exploration of issues around surveillance, student privacy and institutional accountability. In this process, the management, classification and storage of data all relate to the privacy of students. Since learning analytics is an immature discipline, there are a lot of ethical implications in the collection, analysis of student data to be considered. I am in favor with the idea that learning analytics researchers should accept the ethical principles before conducting research.</p>","/Users/rita/Zotero/storage/S73ZLKAM/hla17-chapter4.html","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"2YVB2GSG","journalArticle","2012","Greller, Wolfgang; Drachsler, Hendrik","Translating Learning into Numbers: A Generic Framework for Learning Analytics","Journal of Educational Technology & Society","","1176-3647","","http://www.jstor.org/stable/jeductechsoci.15.3.42","ABSTRACT With the increase in available educational data, it is expected that Learning Analytics will become a powerful means to inform and support learners, teachers and their institutions in better understanding and predicting personal learning needs and performance. However, the processes and requirements behind the beneficial application of Learning and Knowledge Analytics as well as the consequences for learning and teaching are still far from being understood. In this paper, we explore the key dimensions of Learning Analytics (LA), the critical problem zones, and some potential dangers to the beneficial exploitation of educational data. We propose and discuss a generic design framework that can act as a useful guide for setting up Learning Analytics services in support of educational practice and learner guidance, in quality assurance, curriculum development, and in improving teacher effectiveness and efficiency. Furthermore, the presented article intends to inform about soft barriers and limitations of Learning Analytics. We identify the required skills and competences that make meaningful use of Learning Analytics data possible to overcome gaps in interpretation literacy among educational stakeholders. We also discuss privacy and ethical issues and suggest ways in which these issues can be addressed through policy guidelines and best practice examples.","2012","2017-10-06 03:32:55","2017-10-06 03:32:55","2017-10-06 03:32:55","42-57","","3","15","","","Translating Learning into Numbers","","","","","","","","","","","","JSTOR","","","<p>Dr. Greller did an amazing job to provide us with the following figure.</p> <p><img 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"" width=""427"" height=""278"" /><br /> <br />The sis parameters in the picture are the six different dimensions in the analytics process. Since they are closely related, we should consider all of them in the design process.</p>","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"NG2ITD2I","webpage","","","Saturday Morning Breakfast Cereal - Clock","","","","","http://www.smbc-comics.com/index.php?id=3978","","","2017-10-06 03:34:17","2017-10-06 03:34:17","2017-10-06 03:34:17","","","","","","","","","","","","","","","","","","","","","","<p>The comic about forcing students to assemble clocks is really funny. Actually, I think it reveals a case that educators use the educational data in a wrong way. In the first picture, the sociological discovery shows that 90% of elite engineers were observed disassembling and reassembling clocks as children, which contributes to the new “Assemble Clocks Program” in school. However, the school leaders ignore the fact that elite engineers assembling clocks in childhoods does not deduce the conclusion that children assembling clocks properly will surely become remarkable engineers. Since learning is a complex process, there are various factors to be considered when analyzing it. Learning happens everywhere and at any place, and most of the time, is unintentionally. When people become aware that their behavior is under surveillance, with potentially important consequences, their behavior may be distorted and the learning outcomes maybe counterproductive.</p>","/Users/rita/Zotero/storage/RVFG6FHR/index.html","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"QA4K5W2A","blogPost","2014","Young, Jeffrey R.","Why Students Should Own Their Educational Data","The Chronicle of Higher Education Blogs: Wired Campus","","","","http://www.chronicle.com/blogs/wiredcampus/why-students-should-own-their-educational-data/54329","","2014-08-21","2017-10-06 03:35:25","2017-10-06 03:35:25","2017-10-06 03:35:25","","","","","","","","","","","","","","en-US","","","","","","","","<p>Mr Rose believes that technology can help, by giving educators detailed data on students and the ability to customize teaching materials so “they truly can nurture the potential of every single individual.” And professor Todd Rose brings an interesting notion to me—jagged profile, which indicates we cannot actually tell anything in population studies about any individual in a specific group. He argues that a lesson designed for average is designed for nobody (which I really doubted at first). In addition, Dr. Rose raises a question which worths thinking about: what’s is it that schools can do face to face that the online courses cannot. As far as I am concerned, the class interaction between students and teachers is one of the reasons that online courses cannot replace classroom teaching, With face-to-face interaction and communication, teachers can assess students’ level of understanding by observing their class performance and then adapt the lesson in time.</p>","/Users/rita/Zotero/storage/YAEYP7IP/54329.html","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"2KGYLIQ7","webpage","","","百度一下,你就知道","","","","","https://www.baidu.com/","","","2017-10-12 15:03:39","2017-10-12 15:03:39","2017-10-12 15:03:39","","","","","","","","","","","","","","","","","","","","","","","/Users/rita/Zotero/storage/GER3M9DJ/www.baidu.com.html","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"J48FRDDI","journalArticle","2014","Shermis, M.D.","State-of-the-art automated essay scoring: Competition, results, and future directions from a United States demonstration","Assessing Writing","","","","http://www.sciencedirect.com.ezp-prod1.hul.harvard.edu/science/article/pii/S1075293513000196","","2014-04","2017-12-15 18:45:51","2017-12-15 18:45:51","2014-08-20 23:48:38","53-76","","","20","","","","","","","","","","","","","","","","","","","","http://www.sciencedirect.com.ezp-prod1.hul.harvard.edu/science/article/pii/S1075293513000196","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"KTU9TG7R","webpage","2014","Honan, Mat","I Liked Everything I Saw on Facebook for Two Days. Here’s What It Did to Me | Gadget Lab","WIRED","","","","http://www.wired.com/2014/08/i-liked-everything-i-saw-on-facebook-for-two-days-heres-what-it-did-to-me/","I like everything. Or at least I did, for 48 hours. Literally everything Facebook sent my way, I liked---even if I hated it.","2014-08-11","2017-12-15 18:45:52","2017-12-15 18:45:52","2014-08-12 14:01:43","","","","","","","","","","","","","","","","","","","","","","","","http://www.wired.com/2014/08/i-liked-everything-i-saw-on-facebook-for-two-days-heres-what-it-did-to-me/","","Facebook; News Feed; like buttons","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"MBD4K8YX","journalArticle","2014","Grunspan, Daniel Z.; Wiggins, Benjamin L.; Goodreau, Steven M.","Understanding Classrooms through Social Network Analysis: A Primer for Social Network Analysis in Education Research","CBE-Life Sciences Education","",", 1931-7913","10.1187/cbe.13-08-0162","http://www.lifescied.org/content/13/2/167","Social interactions between students are a major and underexplored part of undergraduate education. Understanding how learning relationships form in undergraduate classrooms, as well as the impacts these relationships have on learning outcomes, can inform educators in unique ways and improve educational reform. Social network analysis (SNA) provides the necessary tool kit for investigating questions involving relational data. We introduce basic concepts in SNA, along with methods for data collection, data processing, and data analysis, using a previously collected example study on an undergraduate biology classroom as a tutorial. We conduct descriptive analyses of the structure of the network of costudying relationships. We explore generative processes that create observed study networks between students and also test for an association between network position and success on exams. We also cover practical issues, such as the unique aspects of human subjects review for network studies. Our aims are to convince readers that using SNA in classroom environments allows rich and informative analyses to take place and to provide some initial tools for doing so, in the process inspiring future educational studies incorporating relational data.","2014-06-20","2017-12-15 18:45:52","2017-12-15 18:45:52","2014-08-20 20:21:46","167-178","","2","13","","CBE Life Sci Educ","Understanding Classrooms through Social Network Analysis","","","","","","","en","","","","","www.lifescied.org","","","","","http://www.lifescied.org/content/13/2/167","Week 2","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"GYWAEP25","blogPost","2014","Young, Jeffrey R.","Why Students Should Own Their Educational Data","The Chronicle of Higher Education Blogs: Wired Campus","","","","http://chronicle.com/blogs/wiredcampus/why-students-should-own-their-educational-data/54329","","2014-08-21","2017-12-15 18:45:52","2017-12-15 18:45:52","2014-08-23 21:32:22","","","","","","","","","","","","","","","","","","","","","","<p>Mr Rose believes that technology can help, by giving educators detailed data on students and the ability to customize teaching materials so “they truly can nurture the potential of every single individual.” And professor Todd Rose brings an interesting notion to me—jagged profile, which indicates we cannot actually tell anything in population studies about any individual in a specific group. He argues that a lesson designed for average is designed for nobody (which I really doubted at first). In addition, Dr. Rose raises a question which worths thinking about: what’s is it that schools can do face to face that the online courses cannot. As far as I am concerned, the class interaction between students and teachers is one of the reasons that online courses cannot replace classroom teaching, With face-to-face interaction and communication, teachers can assess students’ level of understanding by observing their class performance and then adapt the lesson in time.</p>","","http://chronicle.com/blogs/wiredcampus/why-students-should-own-their-educational-data/54329","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"5BXZDXR4","conferencePaper","2013","Lee, Victor R.; Drake, Joel","Quantified Recess: Design of an Activity for Elementary Students Involving Analyses of Their Own Movement Data","","978-1-4503-1918-8","","10.1145/2485760.2485822","http://doi.acm.org.ezp-prod1.hul.harvard.edu/10.1145/2485760.2485822","Recess is often a time for children in school to engage recreationally in physically demanding and highly interactive activities with their peers. This paper describes a design effort to encourage fifth-grade students to examine sensitivities associated with different measures of center by having them analyze activities during recess using over the course of a week using Fitbit activity trackers and TinkerPlots data visualization software. We describe the activity structure some observed student behaviors during the activity. We also provide a descriptive account, based on video records and transcripts, of two students who engaged thoughtfully with their recess data and developed a more sophisticated understanding of when and how outliers affect means and medians.","2013","2017-12-15 18:45:53","2017-12-15 18:45:53","2014-02-27 05:07:35","273–276","","","","","","Quantified Recess","","","","","ACM","New York, NY, USA","","","","","","ACM Digital Library","","","","","","","Collaboration; Quantified Self; TinkerPlots; activity trackers; competition; elementary students; fitbit; physical activity","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"PJKB979J","conferencePaper","2012","Siemens, George; Baker, Ryan S. J. d.","Learning Analytics and Educational Data Mining: Towards Communication and Collaboration","Proceedings of the 2Nd International Conference on Learning Analytics and Knowledge","978-1-4503-1111-3","","10.1145/2330601.2330661","http://doi.acm.org/10.1145/2330601.2330661","Growing interest in data and analytics in education, teaching, and learning raises the priority for increased, high-quality research into the models, methods, technologies, and impact of analytics. Two research communities -- Educational Data Mining (EDM) and Learning Analytics and Knowledge (LAK) have developed separately to address this need. This paper argues for increased and formal communication and collaboration between these communities in order to share research, methods, and tools for data mining and analysis in the service of developing both LAK and EDM fields.","2012","2017-12-15 18:45:53","2017-12-15 18:45:53","2015-01-16 03:15:55","252–254","","","","","","Learning Analytics and Educational Data Mining","","","","","ACM","New York, NY, USA","","","","","","ACM Digital Library","","","<p>Prior to reading the article this week, I have no idea of the difference between Data Mining and Learning Analytics. I thought they are the same concept that refers to analyzing educational data in order to better assessment and problem-solving. However, Dr. Siemens and Baker shows us nuanced but significant distinctions between LAK and EDM. <br />To conclude, there are there main differences:<br />Type of discovery.<br />EDM has a considerably greater focus on automated discovery, and LAK has a considerably greater focus on leveraging human judgment.</p> <p>2. Type of adaption and personalization<br />EDM models are more often used as the basis of automated adaptation, conducted by a computer system.LAK models are more often designed to inform and empower instructors and learners. <br />3.Holistic and reductionistic frameworks<br />The “discovery with models” paradigm for EDM research discussed in is a clear example of this paradigm. By contrast, LAK researchers typically place a stronger emphasis on attempting to understand systems as wholes, in their full complexity.</p> <p>This article indeed offers me a better understanding about the similarity and difference between LAK and EDM.</p>","","","","Collaboration; educational data mining; learning analytics and knowledge","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"HTV3LVPQ","blogPost","2015","Manai, J","The Learning Analytics Landscape: Tension Between Student Privacy and the Process of Data Mining","Carnegie Foundation for the Advancement of Teaching","","","","http://www.carnegiefoundation.org/blog/the-learning-analytics-landscape-tension-between-student-privacy-and-the-process-of-data-mining/","Data mining is a powerful tool being used by educational institutions to support student success, but often students do not know what data are being","2015-11-06","2017-12-15 18:45:53","2017-12-15 18:45:53","2016-01-06 22:44:02","","","","","","","The Learning Analytics Landscape","","","","","","","","","","","","","","","<p>Quotes:</p> <p>Educational data mining (or learning analytics) is the process of collecting and analyzing a wide range of student data (and in great volume) in order to derive knowledge about learning habits and behaviors in order to personalize educational interventions to maximize student outcomes.</p> <p>Students often show little or no concern about sharing their personal data, especially in an environment of increased sharing through social media, which creates a landscape of<span style=""background-color: #ffff00;""> ""digital promiscuity"" </span>(Murphy,2014).</p> <p>Paul Prinsloo and Sharon Slade's framework of student learning.</p> <p>A need for a ""palette of 'privacy solutions'""</p> <p>I strongly agree that providing people with notice, access, and the ability to control their data is key to facilitating some autonomy in a world where decisions are increasingly made about them with the use of personal data, automated processes, and clandestine rationales, and where people have minimal abilities to do anything about such decisions. (Daniel Solove)</p>","","http://www.carnegiefoundation.org/blog/the-learning-analytics-landscape-tension-between-student-privacy-and-the-process-of-data-mining/","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"MGQPCKJA","book","2015","Zheng, Alice","Evaluating Machine Learning Models","","","","","http://www.oreilly.com/data/free/evaluating-machine-learning-models.csp?intcmp=il-data-free-lp-lgen_free_reports_page","Data science today is a lot like the Wild West: there’s endless opportunity and excitement, but also a lot of chaos and confusion. If you’re new to data science and applied machine learning, evaluating a machine-learning model can seem pretty overwhelming...","2015-09","2017-12-15 18:45:53","2017-12-15 18:45:53","2015-12-15 18:26:39","","","","","","","","","","","","O'Reily Media","Sebastopol, CA","","","","","","","","","<p>Machine learning is a field full of technical terms, making it difficult for beginners to get started.</p> <p>One of the core tasks in building a machine learning model is to evaluate its performance.</p> <p>Machine Learning workflow</p> <p><img 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"" /></p>","","http://www.oreilly.com/data/free/evaluating-machine-learning-models.csp?intcmp=il-data-free-lp-lgen_free_reports_page","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"5MW7CU9R","journalArticle","2015","Krueger, Keith R.; Moore, Bob","New technology “clouds” student data privacy","Phi Delta Kappan","","0031-7217, 1940-6487","10.1177/0031721715569464","http://pdk.sagepub.com/content/96/5/19","As technology has leaped forward to provide valuable learning tools, parents and policy makers have begun raising concerns about the privacy of student data that schools and systems have. Federal laws are intended to protect students and their families but they have not and will never be able to keep up with rapidly evolving technology. School systems can help themselves and their students by following a list of guidelines, the authors say.","2015-02-01","2017-12-15 18:45:53","2017-12-15 18:45:53","2015-12-17 16:16:17","19-24","","5","96","","Phi Delta Kappan","","","","","","","","en","","","","","pdk.sagepub.com","","","<p>Just as technology delivers promising devices and applications to enhance learning, heightened privacy concerns call on schools and systems to become more involved and technology literate. This article provides us with a potential solution to the problem.</p> <p>Step 1 Designate a privacy official</p> <p>Step 2 Engage legal counsel</p> <p>Step 3 Get to know the laws</p> <p>Step 4 Adopt school community norms and policies</p> <p>Step 5 Implement workable processes</p> <p>Step 6 Leverage procurement</p> <p>Step 7 insist on professional development</p> <p>Step 8 Involve papernts</p> <p>Step 9 Data security must be a priority</p> <p>Step 10 Monitor and adjust</p> <p>I think it is a good framework to flow. But protecting students' education data privacy is complicated when actions are taken.</p>","","http://pdk.sagepub.com/content/96/5/19","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"TNE4KZY5","blogPost","2015","Leong, B; Polonetsky, J","Why Opting Out of Student Data Collection Isn’t the Solution","EdSurge","","","","https://www.edsurge.com/news/2015-03-16-why-opting-out-of-student-data-collection-isn-t-the-solution","In every privacy debate across every industry, the same questions arise about the rights of individuals to “opt-out” of their data being collected or used. So it should come as no surprise that the “when” and “how” of parent and student opt-outs of education data collection or use has become a robust","2015-03-16","2017-12-15 18:45:54","2017-12-15 18:45:54","2016-01-16 16:31:25","","","","","","","","","","","","","","","","","","","","","","<p>Fair Information Privacy Principles (FIPPS), which form the basis of most privacy laws in the U.S. and around the world.</p> <p>Policymakers seeking to set privacy rules for students data need to consider both the privacy rights of parents and students and the expectations of parents that teachers and administrators have access to the data needed to make smart decisions about managing our educational system.</p> <p>Opt-out rights should be an opportunity for parents to decline uses of data that truly are secondary to the functioning of our educational system - not an opportunity to avoid resolution of education policy issues that affect all students.</p> <p>It is hard to make regulations on educational data, since they are crucial for school administrators to make reasonable policies and provide good educational products for students.</p>","","https://www.edsurge.com/news/2015-03-16-why-opting-out-of-student-data-collection-isn-t-the-solution","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"IWMFUGHT","videoRecording","2013","Poulson, Barton","Up and Running with R","","","","","http://www.lynda.com/R-tutorials/Up-Running-R/120612-2.html?org=nyu.edu","Introduces the R statistical processing language, including how to install R, read data from SPSS and spreadsheets, analyze data, and create charts and plots.","2013-04-04","2017-12-15 18:45:54","2017-12-15 18:45:54","2016-01-17 18:03:03","","","","","","","","","","","","Lynda.com","","","","","","","","","","","","http://www.lynda.com/R-tutorials/Up-Running-R/120612-2.html?org=nyu.edu","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"KTUK3JII","videoRecording","2015","Educause","Why Is Measuring Learning So Difficult?","","","","","https://www.youtube.com/watch?v=_iv8A1pHNYA","Several higher education learning and assessment professionals discuss the difficulties of measuring learning.","2015-08-17","2017-12-15 18:45:54","2017-12-15 18:45:54","2016-01-17 18:50:57","","","","","","","","","","","","","","","","","","","YouTube","","","<p>Why is measuring learning so difficult? As far as I am concerned, learning is a complex process which contains many components, such as human cognition, social and culture influence. Also, learning happens everywhere and any time. It is hard for people to actually capture the learning data. What people can do is to capture and record the behavior and outcomes of learning. However, the learning process in people’s head is really difficult to measure.</p>","","","","Assessment; EDUCAUSE; Education; Higher Education; Learning; Teaching and learning; educational assessment; learners","","","","","","","","","","","","","","","","","","","","","470 seconds","","","","","","","","","","","","","","","","","","","","","","","","",""
"BBSECF64","webpage","2016","Weinersmith, Zach","Saturday Morning Breakfast Cereal","","","","","http://www.smbc-comics.com/index.php?id=3978","","2016-01-05","2017-12-15 18:45:54","2017-12-15 18:45:54","2016-01-18 18:17:09","","","","","","","","","","","","","","","","","","","","","","<p>The comic about forcing students to assemble clocks is really funny. Actually, I think it reveals a case that educators use the educational data in a wrong way. In the first picture, the sociological discovery shows that 90% of elite engineers were observed disassembling and reassembling clocks as children, which contributes to the new “Assemble Clocks Program” in school. However, the school leaders ignore the fact that elite engineers assembling clocks in childhoods does not deduce the conclusion that children assembling clocks properly will surely become remarkable engineers. Since learning is a complex process, there are various factors to be considered when analyzing it. Learning happens everywhere and at any place, and most of the time, is unintentionally. When people become aware that their behavior is under surveillance, with potentially important consequences, their behavior may be distorted and the learning outcomes maybe counterproductive.</p>","","http://www.smbc-comics.com/index.php?id=3978","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"TQ42T8RN","webpage","2015","RStudio","The Data Wrangling Cheatsheet","","","","","http://www.rstudio.com/wp-content/uploads/2015/02/data-wrangling-cheatsheet.pdf","","2015-01","2017-12-15 18:45:55","2017-12-15 18:45:55","2016-01-18 18:42:27","","","","","","","","","","","","","","","","","","","","","","<p>The data wrangling function with dplyr and tidyr function in R is very useful. In this semester, I have almost use all of the functions in the cheat sheet. It help me to make the data more categorized and tidy.</p>","","http://www.rstudio.com/wp-content/uploads/2015/02/data-wrangling-cheatsheet.pdf","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"W62EILJ7","conferencePaper","2014","Clow, Doug","Data wranglers: human interpreters to help close the feedback loop","Proceedings of the Fourth International Conference on Learning Analytics And Knowledge","","","","","","2014","2017-12-15 18:45:55","2017-12-15 18:45:55","","49–53","","","","","","","","","","","ACM","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"W6F5ZRMT","magazineArticle","2015","Kucirkova, Natalia; FitzGerald, Elizabeth","Zuckerberg is ploughing billions into 'personalised learning' – why?","The Conversation","","","","http://theconversation.com/zuckerberg-is-ploughing-billions-into-personalised-learning-why-51940","Zuckerburg wants to plough billions into personalised learning, but his way may not be the right way.","2015-12-09","2017-12-15 18:45:55","2017-12-15 18:45:55","2016-01-18 19:14:05","","","","","","","","","","","","","","","","","","","","","","<p>For Zuckerberg, personalized learning is about teachers ""working with students to customize instruction to meet the student's individual needs and interests""</p> <p>There are three potential flaws of Zuckerberg's idea of personalized learning. First, by feeding children only the content they're interested in, we may end up with many specialists and few generalists. Second, student's lack of ability to compensate may mean they suffer as a result. Third, children's preferences are not fixed. In subcontracting out teaching to technology, the risk is that the valuable social contact between students, teachers and parents that's inherent to effective learning will be reduced.</p> <p>Speaking of personalized learning, we may think of a lot of advantages. For me, personalized learning means that teachers would modify the curriculum and teaching methods according to student's cognitive level and learning habits. In traditional classrooms, it is hard for teachers to pay specific attention to individuals and make personalized learning plan for them. They have to deliver the lesson on the average level. In this respect, technology could help a lot. With collecting and analyzing student's previous learning data, algorithm could provide them with a scientific learning plan. However, learning process is complicated. It is still a problem that whether technology could effectively detect and collect people's educational data.</p> <p>*adaptive study plan: adapts all topics to a learners' pace.</p> <p>customized study plan: provides a course modified according to the teacher's knowledge of what fits the students best.</p> <p>As Mike Sharples and other Open University colleagues write in their Innovating Pedagogy 2015 report, personalized learning combined with emotional analytics, personal inquiry, dynamic and stealth assessment could be a very powerful combination.</p> <p> </p> <p> </p> <p> </p>","","https://theconversation.com/zuckerberg-is-ploughing-billions-into-personalised-learning-why-51940","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"LVYNFWR9","videoRecording","2015","Georgia Tech","Feature Selection","","","","","https://www.youtube.com/watch?v=8CpRLplmdqE","","2015-02-23","2017-12-15 18:45:55","2017-12-15 18:45:55","2016-01-18 19:18:06","","","","","","","","","","","","Youtube","","","","","","","","","","","","https://www.youtube.com/watch?v=8CpRLplmdqE","","","","","","","","","","","","","","","Udacity","","","","","","","","3:13","","","","","","","","","","","","","","","","","","","","","","","","",""
"L87TH5BA","blogPost","2013","Perez-Riverol, Yasset","Introduction to Feature selection for bioinformaticians using R, correlation matrix filters, PCA & backward selection","R-bloggers","","","","http://www.r-bloggers.com/introduction-to-feature-selection-for-bioinformaticians-using-r-correlation-matrix-filters-pca-backward-selection/","Bioinformatics is becoming more and more a Data Mining field. Every passing day, Genomics and Proteomics yield bucketloads of multivariate data (genes, proteins, DNA, identified peptides, structures), and every one of these biological data units are described by a number of features: length, physicochemical properties, scores, etc. Careful consideration of which features to select when trying to reduce the dimensionality of a specific dataset is, therefore, critical if one wishes to analyze and understand their impact on a model, or to identify what attributes produce a specific biological effect. For instance, considering a predictive model C1A1 + C2A2 + C3A3 … CnAn = S, where Ci are constants, Ai are features or attributes and S is the predictor output (retention time, toxicity, score, etc). It is essential to identify which of those features (A1, A2 and A3…An) are most relevant to the model and to understand how they correlate with S, as working with such a subset will enable the researcher to discard a lot of irrelevant and redundant information. There are two main approaches to this selection process: Filter approaches: you select the features first, then you use this subset to execute classification or clustering algorithms, etc; Embedded or Wrapper approaches a classification algorithm is applied to the raw dataset in order to identify the most relevant features. One of the simplest and most powerful filter approaches is the use of correlation matrix filters. In regression and data mining problems, variables may be highly correlated with one another or ""redundant"". For example in cheminformatics, aromatic rings, bond counts and carbon atom counts can be very tightly correlated. If so, any one of these variables could be used as a proxy for all the others. It is best to choose the feature which is most likely to be the direct cause of toxicity, absorption or a specific response distribution. Correlation Matrix :R Example: Removing features with more than 0.70 of Correlation.import java.util.List;library(corrplot)#corrplot: the library to compute correlation matrix.datMy <- read.table(""data.csv"", header = TRUE)#read the tab file using the read table function.datMy.scale<- scale(datMy[2:ncol(datMy)],center=TRUE,scale=TRUE);#scale all the features (from feature 2 bacause feature 1 is the predictor output)corMatMy <- cor(datMy.scale)#compute the correlation matrixcorrplot(corMatMy, order = ""hclust"")#visualize the matrix, clustering features by correlation index. Resulting Output: Highly Correlate Matrix for 400 features. After inspecting the matrix, we set the correlation threshold at 0.70.highlyCor <- findCorrelation(corMatMy, 0.70)#Apply correlation filter at 0.70,#then we remove all the variable correlated with more 0.7.datMyFiltered.scale <- datMy.scale[,-highlyCor]corMatMy <- cor(datMyFiltered.scale)corrplot(corMatMy, order = ""hclust"") Resulting Output: Correlation matrix after filter. Now it is possible to filter out “redundant” features by examining in detail the correlation matrix. Remember that the closer the correlation between two variables is to 1, the more related their behavior and the more redundant one is with respect to the other. Using PCA A relatively sophisticated way to do the correlation matrix analysis would be to perform a Principal Components Analysis (PCA). Feature extraction approaches transform data in high-dimensional space to a space of fewer dimensions. Principal component analysis, the most important linear technique for reducing dimensionality, performs a linear mapping of the data to a lower dimensional space in such a way that the variance of the data in the low-dimensional representation is maximized. In other words, PCA analysis builds a set of features by selecting those axes which maximize data variance. Principal Component Analysis (PCA) is a multivariate technique that summarizes systematic patterns of variation in the data. From a data analysis standpoint, PCA is used for studying one table of observations and variables with the idea of transforming the observed variables into a set of new variables, the principal components, which are uncorrelated and explain the variation of the data. Therefore, PCA can be used to bring down a “complex” data set to a lower dimensionality, in order to reveal the structures or the dominant types of variations in both the observations and the variables. PCA in R In R, several functions from a number of different packages can be used to perform PCA. My suggestion is FactoMineR whose typical PCA output consists of a set of eigenvalues, a table with the scores or Principal Components (PCs), and a table of loadings (or correlations between variables and PCs).R Example: PCA function using FactoMineR for 400 features & 5 PCs require(FactoMineR) # PCA with function PCAdatMy <- read.table(""data.csv"", header = TRUE)#read the tab file using the read table function.pca <- PCA(datMy, scale.unit=TRUE, ncp=5, graph=T)#scale all the features, ncp: number of dimensions kept in the results (by default 5)dimdesc(pca)#This line of code will sort the variables the most linked to each PC. It is very useful when you have many variables. Here, you can find an excellent tutorial on FactoMineR and Principal Component analysis in R: Wrapper Approaches with Backwards Selection""Wrapper"" approaches can be viewed as built-in functions to optimize the number of predictors in the optimization or regression problem. Many feature selection routines use a ""wrapper"" approach to find appropriate variables such that an algorithm searching through feature space repeatedly fits the model with different predictor sets. The best predictor set is determined by some measure of performance (correlation R^2, root-mean-square deviation). An example of one search routine is backwards selection (a.k.a. recursive feature elimination). In many cases, using these models with built-in feature selection will be more efficient than algorithms where the search routine for the right predictors is external to the model. Built-in feature selection typically couples the predictor search algorithm with parameter estimation, and is usually optimized with a single objective function (e.g. error rates or likelihood). Using Built-in Backward SelectionThe algorithm fits the model to all predictors. Each predictor is ranked according to relevance to the model. With each iteration of feature selection, the Ci top-ranked predictors are retained, the model is refit and performance is re-assessed. Built-in backward selection is being used for at least three purposes: predictor selection, model fitting and performance evaluation. Unless the number of samples is large, especially in relation to the number of variables, one static training set may not be able to fulfill these needs. The ""crantastic"" package caret contains functions for training and plotting classification and regression models. In this case, the rfe function is used to obtain the potential selection. It has several arguments: x, a matrix or data frame of predictor variables y, a vector (numeric or factor) of outcomes sizes, an integer vector for the specific subset sizes that should be tested (which must not include ncol(x)) rfeControl, a list of options that can be used to specify the model and the methods for prediction, ranking etc. For a specific model, a set of functions must be specified in rfeControl$functions. There are a number of pre-defined sets of functions for several models, including: linear regression (in the object lmFuncs), random forests (rfFuncs), naive Bayes (nbFuncs), bagged trees (treebagFuncs) and functions that can be used with caret's train function (caretFuncs). R example: Selecting features using backward selection and the caret package library(caret);#load caret librarydata_features<-as.matrix(read.table(""data-features.csv"",sep=""\t"", header=TRUE));#load data featuresdata_class<-as.matrix(read.table('data.csv', header=TRUE));#load data classesdata_features<- scale(data_features, center=TRUE, scale=TRUE);#scale data featuresinTrain <- createDataPartition(data_class, p = 3/4, list = FALSE); #Divide the dataset in train and test sets#Create the Training Dataset for Descriptors trainDescr <- data_features[inTrain,];# Create the Testing dataset for DescriptorstestDescr <- data_features[-inTrain,];trainClass <- data_class[inTrain];testClass <- data_class[-inTrain];descrCorr <- cor(trainDescr);highCorr <- findCorrelation(descrCorr, 0.70);trainDescr <- trainDescr[, -highCorr];testDescr <- testDescr[, -highCorr];# Here, we can included a correlation matrix analysis to remove the redundant features before the backwards selection svmProfile <- rfe(x=trainDescr, y = trainClass, sizes = c(1:5), rfeControl= rfeControl(functions = caretFuncs,number = 2),method = ""svmRadial"",fit = FALSE);#caret function: the rfe is the backwards selection, c is the possible sizes of the features sets, and method the optimization method is a support vector machine. Finally I would like to recommned an excellent Review about Feature Selection in Bioinformatics.","2013-10-17","2017-12-15 18:45:55","2017-12-15 18:45:55","2016-01-18 19:42:18","","","","","","","","","","","","","","","","","","","","","","<p>A relatively sophisticated way to do the correlation matrix analysis would be to perform a Principal Components Analysis. It is a multivariate technique that summarizes systematic patterns of variation in the data and is used for studying one table of observations and variables with the idea of transforming the observed variables into a set of new variables, the principal components, which are uncorrelated and explain the variation of the data.</p>","","http://www.r-bloggers.com/introduction-to-feature-selection-for-bioinformaticians-using-r-correlation-matrix-filters-pca-backward-selection/","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"DKSJXVY9","blogPost","2014","Sharma, Aseem","Why open data matters in education","Opensource.com","","","","https://opensource.com/education/14/10/why-open-data-matters-education","Aseem Sharma writes that improving the state of education and making children better learners is a human endeavor. It requires understanding the behavior of children, what motivates them, and what demotivates them. Technology solutions based on open data can strengthen and fuel that human endeavor on which much of our future depends.","2014-10-13","2017-12-15 18:45:56","2017-12-15 18:45:56","2016-01-18 20:10:08","","","","","","","","","","","","","","","","","","","","","","<p>The advantage of open data:</p> <p>Open data increases the understanding of the disparity (in educational systems and the growth of students across the world) across different countries tremendously. Solution providers can better understand what works where and what does not works in what parts of the world. They can also understand and analyze the situations most amicable for creating a learning environment.</p> <p>Applications built on top of open data can be used to monitor among other things, the learning patterns of students, their performance patterns, teacher absenteeism, and on a larger scale regions that perform better and regions that perform poorly. This creates a better grip on the problem we are encountering as well as the scale of the problem.</p>","","https://opensource.com/education/14/10/why-open-data-matters-education","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"UBQWR93I","bookSection","2016","Hanneman, R.A.; Riddle, M.","Chapter 1: Social Network Data","Introduction to Social Network Methods","","","","http://faculty.ucr.edu/~hanneman/nettext/C1_Social_Network_Data.html","","2016-01-18","2017-12-15 18:45:56","2017-12-15 18:45:56","2016-01-18 20:17:24","","","","","","","","","","","","","","","","","","","","","","<p>""Conventional"" social science data consist of a rectangular array of measurements.</p> <p>""Network"" data consist of a square array of measurements.</p> <p>Network data are defined by actors and by relations (or ""nodes"" and ""edges""). The nodes or actors part of network data would seem to be pretty straight-forward.</p>","","http://faculty.ucr.edu/~hanneman/nettext/C1_Social_Network_Data.html","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"SGSDMDS4","blogPost","2014","Farr, Christina","Microsoft and Knewton partner up to bring adaptive learning to publishers & schools","VentureBeat","","","","http://venturebeat.com/2014/03/13/microsoft-and-knewton-partner-up-to-bring-adaptive-learning-to-publishers-schools/","Knewton provides an open API for ""adaptive learning,"" an insidery term for computing that helps students learn at their own pace.","2014-03-13","2017-12-15 18:45:56","2017-12-15 18:45:56","2016-01-19 14:56:06","","","","","","","","","","","","","","","","","","","","","","<p>I think it is a win-win plan, since Microsoft will be able to enhance its product with an adaptive learning tool, and Knewton gains access to a vast distribution channel.</p>","","http://venturebeat.com/2014/03/13/microsoft-and-knewton-partner-up-to-bring-adaptive-learning-to-publishers-schools/","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"3UAPA9K9","journalArticle","2007","Wu, Xindong; Kumar, Vipin; Quinlan, J. Ross; Ghosh, Joydeep; Yang, Qiang; Motoda, Hiroshi; McLachlan, Geoffrey J.; Ng, Angus; Liu, Bing; Yu, Philip S.; Zhou, Zhi-Hua; Steinbach, Michael; Hand, David J.; Steinberg, Dan","Top 10 algorithms in data mining","Knowledge and Information Systems","","0219-1377, 0219-3116","10.1007/s10115-007-0114-2","http://link.springer.com.ezp-prod1.hul.harvard.edu/article/10.1007/s10115-007-0114-2","This paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. These top 10 algorithms are among the most influential data mining algorithms in the research community. With each algorithm, we provide a description of the algorithm, discuss the impact of the algorithm, and review current and further research on the algorithm. These 10 algorithms cover classification, clustering, statistical learning, association analysis, and link mining, which are all among the most important topics in data mining research and development.","2007-12-04","2017-12-15 18:45:56","2017-12-15 18:45:56","2016-01-19 15:40:59","1-37","","1","14","","Knowl Inf Syst","","","","","","","","en","","","","","link.springer.com.ezp-prod1.hul.harvard.edu","","","","","http://link.springer.com.ezp-prod1.hul.harvard.edu/article/10.1007%2Fs10115-007-0114-2","","Business Information Systems; Information Systems and Communication Service","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"PAKJZRQ6","journalArticle","2011","Nadkarni, Prakash M; Ohno-Machado, Lucila; Chapman, Wendy W","Natural language processing: an introduction","Journal of the American Medical Informatics Association : JAMIA","","1067-5027","10.1136/amiajnl-2011-000464","http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3168328/","Objectives To provide an overview and tutorial of natural language processing (NLP) and modern NLP-system design. Target audience This tutorial targets the medical informatics generalist who has limited acquaintance with the principles behind NLP and/or limited knowledge of the current state of the art. Scope We describe the historical evolution of NLP, and summarize common NLP sub-problems in this extensive field. We then provide a synopsis of selected highlights of medical NLP efforts. After providing a brief description of common machine-learning approaches that are being used for diverse NLP sub-problems, we discuss how modern NLP architectures are designed, with a summary of the Apache Foundation's Unstructured Information Management Architecture. We finally consider possible future directions for NLP, and reflect on the possible impact of IBM Watson on the medical field.","2011","2017-12-15 18:45:57","2017-12-15 18:45:57","2016-01-19 16:19:41","544-551","","5","18","","J Am Med Inform Assoc","Natural language processing","","","","","","","","","","","","PubMed Central","","PMID: 21846786 PMCID: PMC3168328","","","http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3168328/","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"4BVYF2XA","journalArticle","2014","Crawford, K; Schultz, J","Big Data and Due Process: Toward a Framework to Redress Predictive Privacy Harms - Boston College Law Review","Boston College Law Review","","","","http://bclawreview.org/review/55_1/03_crawford_schultz/","","2014","2017-12-15 18:45:57","2017-12-15 18:45:57","2016-01-19 16:33:49","","","1","LV","","","Big Data and Due Process","","","","","","","","","","","","","","","<p>The article examines several existing privacy regimes and explains why these approaches inadequately address current Big Data challenges.</p> <p>In practice, Big Data encompasses three aspects of data magnification and manipulation. First, it refers to technology that maximizes computational power and algorithmic accuracy. Second, it describes types o analyses that draw on a range of tools to clean and compare data. Third, it promotes the belief that large data sets generate results with greater truth, objectivity, and accuracy.</p> <p>The article shows us several examples that make me realize by some unconscious behavior online, one may easily reveal his/ her information.</p> <p>As Big Data is versatile, dynamic and unpredictable, traditional notions of privacy that isolate certain categories of information - such as PII - to regulate collection, utilization, or disclosure are ill - suited to address these emerging risks.</p>","","http://bclawreview.org/review/55_1/03_crawford_schultz/","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"LBRS7T6F","book","2015","Thompson, J.","Text Mining, Big Data, Unstructured Data","","","","","http://www.statsoft.com/Textbook/Text-Mining#overview","","2015-05-08","2017-12-15 18:45:57","2017-12-15 18:45:57","2016-01-19 16:41:08","","","","","","","","","","","","Dell Computing","","","","","","","","","","<p>Text Mining is a new terminology for me. It is to process unstructured (textual) information, extract meaningful numeric indices from the text, and, thus make the information contained in the text accessible to the various data mining algorithms.</p>","","http://www.statsoft.com/Textbook/Text-Mining#overview","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"R6WY72EB","blogPost","2015","Kamenetz, Anya","The Quantified Student: An App That Predicts GPA","NPR","","","","http://www.npr.org/sections/ed/2015/06/02/409780423/the-quantified-student-an-app-that-predicts-gpa","Researchers found that a phone's activity tracker can automatically predict students' school performance.","2015-06-03","2017-12-15 18:45:57","2017-12-15 18:45:57","2016-01-19 20:00:19","","","","","","","The Quantified Student","","","","","","","","","","","","","","","<p>In a small experiment, researchers at Dartmouth College have shown that data automatically collected by an Android app can guess how students are spending their time- predicting their end-of-term grades with scary accuracy.</p> <p>How?</p> <p>A smartphone generally has Wi-fi, GPS to detect location, an accelerometer which detects motion and a microphone, which can pick up nearby sound. The phone also senses whether or not it's being charged or being used.</p> <p>It modeled several different behavior scenarios:</p> <p>1) sleeping 2) physical activity 3) studying 4)partying</p> <p>Conclusion:</p> <p>Slightly more surprising, students tended to perform better when they buckled down towards the end of the semester. After the midterm, ""A"" students partied less, stayed at home more, and spent less time in conversation. But what's interesting is that this relationship held true whether they started out as relative extroverts or introverts. It wasn't the absolute time spent partying, in other words, it was the ability to prioritize that really counted.</p> <p>Also of note: students with better grades studied in louder locations. Were they benefiting from study groups? Maybe.</p> <p>The article also mentioned a terminology ""persuasive technology"". It means technology that is designed to change attitudes or behaviors of the users through persuasion and social influence, but not through coercion. I found this really interesting. People take mobile phone with them all day. Many data can be collected through this process. If these data could be used appropriately, apps could be made to improve people's lifestyle.</p> <p>However, data privacy is still a problem needed attention.</p>","","http://www.npr.org/sections/ed/2015/06/02/409780423/the-quantified-student-an-app-that-predicts-gpa","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"LZN9Y8SD","videoRecording","2015","Datacamp","The ggvis R package - How to Work With The Grammar of Graphics - YouTube","","","","","https://www.youtube.com/watch?v=rf55oB6xX3w","Share your videos with friends, family, and the world","2015-12-05","2017-12-15 18:45:58","2017-12-15 18:45:58","2016-01-19 20:37:17","","","","","","","","","","","","Youtube","","","","","","","","","","<p>the ggvis R package enables us to manage data in a visualized way. I like the function that classify data in different color. It is convenient and efficient for us to directly see the categories of data.</p>","","https://www.youtube.com/watch?v=rf55oB6xX3w","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"Z8RVJRK9","bookSection","2008","Friendly, Michael","A Brief History of Data Visualization","Handbook of Data Visualization","978-3-540-33036-3 978-3-540-33037-0","","","http://link.springer.com.ezp-prod1.hul.harvard.edu/chapter/10.1007/978-3-540-33037-0_2","It is common to think of statistical graphics and data visualization as relatively modern developments in statistics. In fact, the graphic representation of quantitative information has deep roots. These roots reach into the histories of the earliestmap making and visual depiction, and later into thematic cartography, statistics and statistical graphics, medicine and other fields. Along the way, developments in technologies (printing, reproduction), mathematical theory and practice, and empirical observation and recording enabled the wider use of graphics and new advances in form and content.","2008","2017-12-15 18:45:58","2017-12-15 18:45:58","2016-01-19 20:53:21","15-56","","","","","","","","","","","Springer Berlin Heidelberg","","en","©2008 Springer-Verlag","","","","link.springer.com.ezp-prod1.hul.harvard.edu","","DOI: 10.1007/978-3-540-33037-0_2","","","http://link.springer.com.ezp-prod1.hul.harvard.edu/chapter/10.1007/978-3-540-33037-0_2","","Computational Biology/Bioinformatics; Computer Applications; Computer Imaging, Vision, Pattern Recognition and Graphics; Statistical Theory and Methods; Statistics and Computing/Statistics Programs","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"SI8A3C3C","webpage","2014","Groelmund, Garrett","The R Markdown Cheat sheet","RStudio","","","","http://shiny.rstudio.com/articles/rm-cheatsheet.html","","2014-08-01","2017-12-15 18:45:59","2017-12-15 18:45:59","2016-01-19 21:17:28","","","","","","","","","","","","","","","","","","","","","","","","http://shiny.rstudio.com/articles/rm-cheatsheet.html","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"7XXF3AIV","blogPost","2016","Leong, B; Polonetsky, J","Passing the Privacy Test as Student Data Laws Take Effect","EdSurge","","","","https://www.edsurge.com/news/2016-01-12-passing-the-privacy-test-as-student-data-laws-take-effect","On January 1, 2016, “ SOPIPA”—the recently passed California student data privacy law that defines how edtech companies can use student data became effective. About 25 other states have passed similar laws that are already in effect, or will become effective. At the same time, more than 200 sc","2016-01-12","2017-12-15 18:45:59","2017-12-15 18:45:59","2016-01-19 23:17:28","","","","","","","","","","","","","","","","","","","","","","<p>For SOPIPA, the Student Privacy Pledge, and most state laws, the first key question is to determine whether a particular program or device is designed and marketed for use in schools.</p> <p>In my opinion, sometime it is hard to tell whether the information is identified or de-identified.</p>","","https://www.edsurge.com/news/2016-01-12-passing-the-privacy-test-as-student-data-laws-take-effect?utm_content=bufferc0042&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"9ALI4CH2","conferencePaper","2013","Ridgway, Jim; Smith, Alan","Open data, official statistics and statistics education: threats, and opportunities for collaboration","Proceedings of the Joint IASEIAOS Satellite Conference “Statistics Education for Progress”, Macao, China","","","","http://iase-web.org/documents/papers/sat2013/IASE_IAOS_2013_Paper_K3_Ridgway_Smith.pdf","","2013","2017-12-15 18:45:59","2017-12-15 18:45:59","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
"5SJ8DCFX","conferencePaper","2013","san Pedro, Maria Ofelia; Baker, Ryan; Bowers, Alex; Heffernan, Neil","Predicting college enrollment from student interaction with an intelligent tutoring system in middle school","Educational Data Mining 2013","","","","","","2013","2017-12-15 18:45:59","2017-12-15 18:45:59","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""