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Scooped by Peter Mellow onto Learning Analytics in Higher Education |
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There’s big talk these days about “big data” in education—looking for patterns of behavior as students click through online classrooms and using the insights to improve instruction. One start-up company that manages online discussion forums for thousands of courses recently performed its first major analysis of behavioral trends among students, and found what its leaders say amounts to advice for instructors.
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The diverse team of eLearning advisors provide elearning workshops, send out periodic newsletter, provide customised consultation, support the eScholar program and more.
Use the 'Filter' pull-down menu above to search for topics by keywords. Via Kim Flintoff 
Kim Flintoff's comment,
June 13, 2:12 AM
The website was redesigned and we disappeared ... This scoop is simply a flag about who's curating... We didn't expect anyone wold ever want to visit us.....
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During the spring 2012 semester, the Open Academic Analytics Initiative (OAAI), led by Marist College, successfully deployed an open-source Learning Analytics solution, developed by the project during the fall, at two community colleges (Cerritos College and College of the Redwoods) and one Historically Black College and University (HBCU) (Savannah State University) as a means to further research in this emerging field. Our spring pilots involved a total of 1379 students, 67% of whom were considered low-income students, who were enrolled in introductory-level courses with, generally, three sections each being taught by the same instructor (e.g. BIOL 101 Section 1, 2 and 3). Each course section was then assigned to either a control or one of two treatment groups, thereby standardizing the instructional delivery to the extent possible across all three. Students in the two treatment groups who had been identified by our predictive model, which uses student demographic, aptitude and course management system usage data, as being likely to not complete the course received interventions designed to help them succeed. Delete the scoop?
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Graph databases and graph-processing applications have been popping up all over the place lately, and now they’re starting to go commercial. On Tuesday, popular open source project GraphLab joined the ranks of graph startups. Delete the scoop?
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Desire2Learn has introduced new functionality to its learning management suite, including new predictive analytics tools, improvements on the mobile and e-portfolio fronts, and an important addition in the area of accessibility. Delete the scoop?
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Kate Crawford of the MIT Centre for Civic Media goes behind the numbers to debunk five myths about big data. Delete the scoop?
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With GeoFlow, you can: Map Data: Plot more than one million rows of data from an Excel workbook, including the Excel Data Model or PowerPivot, in 3D on Bing maps. Choose from columns, heat maps, and bubble visualizations.Discover Insights: Discover new insights by seeing your data in geographic space and seeing time-stamped data change over time. Annotate or compare data in a few clicks.Share Stories: Capture "scenes" and build cinematic, guided "tours" that can be shared broadly, engaging audiences like never before. Via siobhan-o-flynn 
blogbrevity's curator insight,
April 21, 8:00 AM
"GeoFlow originated in Microsoft Research, evolving out of the successful WorldWide Telescope project for scientific and academic communities to explore large volumes of astronomical and geological data." 
luiy's curator insight,
April 22, 4:57 AM
With GeoFlow, you can: Map Data: Plot more than one million rows of data from an Excel workbook, including the Excel Data Model or PowerPivot, in 3D on Bing maps. Choose from columns, heat maps, and bubble visualizations.Discover Insights: Discover new insights by seeing your data in geographic space and seeing time-stamped data change over time. Annotate or compare data in a few clicks.Share Stories: Capture "scenes" and build cinematic, guided "tours" that can be shared broadly, engaging audiences like never before.Delete the scoop?
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The use of big data and analytics to predict student success presents unique ethical questions for higher education administrators relating to the nature of knowledge; in education, "to know" entails an obligation to act on behalf of the student. The Potter Box framework can help administrators address these questions and provide a framework for action. Delete the scoop?
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Big data, big money, big skill set now required. Universities are on it. Delete the scoop?
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Students' online academic activities are used to predict which students are most likely to fail.
Kim Flintoff's insight:
Despite the rather ominous sounding headline and lead sentence - this is about identifying and supporting students at academic risk... to suggest that this raises privacy issues is probably somewhat specious - teachers have always had access to student information and made decisions about how to tailor learning activities... from K-12 and beyond... the institution only reports on achievement in the form of an academic transcript. Students have always been recipients of advice about strategies to improve learning - its normally called "feedback" and every survey of HE student experience suggests they want more "feedback"... Delete the scoop?
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Stanford's Lytics Lab gathers data from massive open online courses to learn more about how we learn. The group studies student behavior to measure interaction and performance. Via Susan Bainbridge 
davidgibson's curator insight,
April 11, 7:54 PM
Without scanning the whole article, what do you think we can do to dive deeper into use patterns? That is, how can we go deeper than what is mentioned in this quote:
"They found that people take classes or stop for different reasons, and therefore referring globally to "dropouts" makes no sense in the online context. They identified four groups of participants: those who completed most assignments, those who audited, those who gradually disengaged and those who sporadically sampled. (Most students who sign up never actually show up, making their inclusion in the data problematic.) The point of all this is not simply to record who is doing what but to "provide educators, instructional designers and platform developers with insights for designing effective and potentially adaptive learning environments that best meet the needs of MOOC participants," the researchers wrote." 
Marci Segal, MS's curator insight,
April 13, 10:57 AM
Good to have a peek inside what's going on, eh? Ready to take the plunge? Delete the scoop?
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Nine universities are testing technology that allows them to track their students’ progress with digital textbooks. Delete the scoop?
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Bentley University's Senior Lecturer in Computer Information Systems explores how big data is increasingly flourishing all around us, and what that means for instruction, for the academic disciplines, and for IT in higher education. Delete the scoop?
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Higher education is a big business, and colleges and universities need reliable data to inform decisions that impact thousands of students and faculty each day. Delete the scoop?
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Nine universities are testing technology that allows them to track their students’ progress with digital textbooks.
Kim Flintoff's insight:
All well and good ... unless you have reasonably intelligent, self-directed students and assume that the only quality source of relevant information comes from the few pages of reading that you assign from a single source textbook. The system doesn't track independent investigation, extensive reading or alternative sources... Delete the scoop?
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QUT is looking to tap the power of analytics with a plan to mine data from multiple systems including massively open online courses. Delete the scoop?
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In our digital world, social relations have become mediated by data. Without even realizing it, we’re barricading ourselves against strangeness -- people and ideas that don't fit the patterns of who we already know, what we already like and where we’ve already been. A call for technology to deliver us to what and who we need, even if it’s unfamiliar. (Filmed at TED@Intel.)
A principal engineer at Intel, Maria Bezaitis focuses on how constellations of personal data can form new business models. Delete the scoop?
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Abstract The Open Academic Analytics Initiative (OAAI) seeks to increase college student retention by performing early detection of academic risk using predictive analytics. OAAI examined the degree to which a model built using data from Marist College would compare to the original model built at Purdue University, and we found the models to be statistically similar. For the research project reported in this paper, the OAAI sought to improve understanding of how learning analytics can best be scaled across institutions of higher education. During the spring 2012 semester, the OAAI successfully deployed an open-source learning analytics solution at two community colleges (Cerritos College and College of the Redwoods) and one historically black university (Savannah State University) as a means to further research in this emerging field. The Seeking Evidence of Impact (SEI) program is intended to bring the teaching and learning community into a discussion about ways of gathering evidence of the impact of our innovations and current practices. The goal of the SEI case studies is to provide examples of successful projects evaluating the impact of innovation, technology, and best practices in teaching and learning. In addition to the SEI case studies, you may find other ELI resources useful in addressing teaching, learning, and technology issues at your institution. To learn more, please visit the ELI Resources page.
Kim Flintoff's insight:
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The promoters of big data would like us to believe that behind the lines of code and vast databases lie objective and universal insights into patterns of human behavior, be it consumer spending, criminal or terrorist acts, healthy habits, or employee productivity. But many big-data evangelists avoid taking a hard look at the weaknesses. Numbers can't speak for themselves, and data sets -- no matter their scale -- are still objects of human design. The tools of big-data science, such as the Apache Hadoop software framework, do not immunize us from skews, gaps, and faulty assumptions. Those factors are particularly significant when big data tries to reflect the social world we live in, yet we can often be fooled into thinking that the results are somehow more objective than human opinions. Biases and blind spots exist in big data as much as they do in individual perceptions and experiences. Yet there is a problematic belief that bigger data is always better data and that correlation is as good as causation. Delete the scoop?
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Desire2Learn has introduced new functionality to its learning management suite, including new predictive analytics tools, improvements on the mobile and e-portfolio fronts, and an important addition in the area of accessibility. Delete the scoop?
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The New York-based institution has teamed up with IBM to offer a new graduate degree program that aims to prepare students for information technology jobs supporting big data.
The degree program will be a one year, 30 credit program. The curriculum will focus on three core components: A business core to show big data's role in business strategy, operations, growth and competitive standing; An analytics core, with training in predictive modeling, recognizing data patterns, managing data, statistical analysis, and exploiting big data; An experiential core with project-based courses in which students apply what they've learned to real-world business issues. Delete the scoop?
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Schools put CourseSmart‘s big data analytics to work monitoring student engagement of assigned course materials. Earlier, we mentioned Desire2Learn, which analyzes student performance on the course level to improve graduation rates. Here’s a look at CourseSmart that crunches ebook usage by students so teachers can parse engagement through reports like the one excerpted above (full report at The Times). Delete the scoop?
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Collecting data and statistics is nothing new in education. Educators have been using Blackboard’s analytics software for years. But what is new is the sheer amount of predictive analytics that is available. President Obama recently announced that he wants America’s college graduate ranking to go from 12th place in the world last year to first by 2020. To accomplish this, our nation’s schools and educators will need to harness the power of big data – at least that’s what Toronto-based education startup Desire2Learn says. Delete the scoop?
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We may be upon predictive analytics’ moment in higher education, with student retention as its “killer app”. Institutions of every type – from 4-year publics to 4-year privates and community colleges – are acquiring commercial systems or building their own to mine a lengthening online audit trail of student data for everything from student services portal logins to LMS activity to digital textbook interactions. Delete the scoop?
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But our efforts at personalization in math education have led all of our students to the same buffet line. Every station features the same horrible gruel but at its final station you can select your preferred seasoning for that gruel. Delete the scoop?
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