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A website for almost everything about learning analytics. Research, conferences, journals, news, groups etc. A well-prepared presentation by Alyssa Wise is also presented in the page. A good summary about learning analytics.

This article contrasts and compares analytic approaches to common problems at two comparable institutions. In keeping with this intent, it features complementary sets of issues focusing on recruitment and related issues at UMES and retention at BSU. UMES does extend its efforts into student retention, though the details are not explicated in the article. Additionally, UMES is implementing the retention-focused aspects of Starfish Early Alert as BSU has done. Still, there are differences in approach: UMES relies primarily on the flag-centered model, while BSU relies on the student-centered model for interventions. Both institutions have integrated commercial products for data collection, analysis, and response, but BSU has invested in a locally developed analytic engine, while UMES has repurposed an investment in Microsoft's Performance Point to support collection and analysis. Use of analytics in support of student retention and success is increasingly strategic to UMES and BSU. In an effort to improve access to higher education for minority and economically disadvantaged students, who often have educational deficiencies, both universities have reached out to many at-risk students. The institutions feel an obligation to assure that these students succeed. Analytics provides an important, and previously underutilized, tool set for the institutions to achieve this. These issues are increasingly common in higher education, and the approaches taken should be broadly applicable.

What is Learning Analytics?

Learning analytics (LA). Is it something we do to students, rather than do for them or do with them?

Guess what I found on the internet. There is an open course on Michigan university about practical learning analytics. Lets be classmates again.. :) Practical Learning Analytics from University of Michigan. Everyone in education has questions - Practical Learning Analytics is about answering them. To be practical, we'll focus on data every university records; to keep things interesting, we'll examine questions raised by many audiences; to ensure impact, we'll provide realistic data and example code.

I found this paper when I was "googling". It covers legal, ethical and related management issues surrounding the generation, use and sharing of analytics data in the context of teaching, learning and research and the underlying business processes based on current UK law. It may be beneficial for the question marks on that whether the learning analytics has been violating the ethical issues.

The efforts to boost the nascent field of learning analytics could bring about a sea change in education, making it possible to personalize - on a massive scale - students' learning by their individual interests and needs, according to a comprehensive report, involving experts from academia, business, nonprofits, foundations and government .

The use of big datasets is not just to measure the students' progress but also to shape it.

Lots of things happened since the last time I guest posted about learning analytics on Edudemic. One of the most popular questions I received was, "Exactly how will it all work?" So we dug deep this time, and we found lots great research on the subject.

This Ted Talk is about open learning analytics in which the speaker talks about open lesson you can enter freely.

This paper is about functional Magnetic Resonance Imaging, a groundbreaking research for learning sciences. It allows learning scientists to understand which brain parts are activated during learning. For example "lateralization of brain" hypothesis (it was saying that one hemisphere is responsible for wholistic-creative learning one is for analytical) is refuted using fMRI. Because both hemispheres were active no matter when people engaged in creative thinking or analytical thinking.

We can take a look at this paper to learn about Learning Analytics applications in higher education

This short video explains briefly what & why learning analytics.

I liked the contribution of LA to "personalization of learning" idea in this video.

The sentence "if the missing objectives are observable, then they can be healed" is also important to understand the necessity of learning analytics.

An introductory text with plain language as to learning analytics.

Learning analytics aims to enable teachers and institutions to tailor education to the needs and abilities of individual students. It does so by analysing a wide range of data, such as how students do in completing assignments and taking exams, their online social interactions, extracurricular activities and posts on discussion forums, for example. The beneficiaries are not just students; these technologies could be used to assess curricula and pedagogy, as well.

This news is about the ethical issues that may arise by learning analytics practices. A software program called Course Signals tracks various pieces of information, including the number of points earned in the course and the amount of time the student has spent logged in to the college's software platform. When students at Purdue University are reading their homework assignments, sometimes the assignments are reading them too. Our assignments are reading us. Should we be warned before the course begins? What do you think?

College professors and instructors can learn a lot from the chapters of a digital textbook that they assign students to read. Reynol Junco, an associate professor in Iowa State University's School of Education, says digital books provide real-time analytics to help faculty assess how students are doing in the class.

In this research, digital textbook is used for predicting students outcomes. With help of digital text book, instructors can track the time students spend reading. On the other hand, with regular textbooks, instructor do not know how students are doing or whether they read the assigned material or not until they give a graded assignment. Digital text book gives opportunity to teacher to monitor their students' actions and can take precation to make students read the material.With help of digital text book, instructors can track the time students spend on reading. By this way, instructor can gain some information like the material complexity for students reading level and s/he can adapt course material or take other precautions to help students succeed.

KlassData is a kind of Learning analytic tool. This video exlplains why LA is needed and how it can be beneficial for educational settings shortly.

I liked Klass Data because, it is respectful to students. It asks their consent. I mean it respects to the "informed consent" principle of ethics.