Archive for the ‘Analytics’ Category

Moulding student emotions through computational psychology: affective learning technologies and algorithmic governance

Recently psychology has begun to amalgamate with computer science approaches to big data analysis as a new field of “computational psychology” or “psycho-informatics,” as well as with new “psycho-policy” approaches associated with behaviour change science, in ways that propose new ways of measuring, administering and managing individuals and populations. In particular, “social-emotional learning” has become […]

How learning analytics can provide students (and teachers) what they want

The words ‘analytics’ and ‘data’ might seem alien or even intimidating to most of us – unless you are a number-cruncher or a market analyst, why would they be of any use, right? However, Professor of Learning Analytics at The Open University, Bart Rienties, has spent much of his career researching how data can improve […]

A Learning Analytics Approach for Evaluating the Impact of Interactivity in Online Video Lectures on the Attention Span of Students

Aim/Purpose As online video lectures rapidly gain popularity in formal and informal learning environments, one of their main challenges is student retention. This study investigates the influence of adding interactivity to online video lectures on students’ attention span. Background Interactivity is perceived as increasing the attention span of learners and improving the quality of learning. […]

Supporting Analytics through Data Integration and Governance

      [This article is the fourth in a 2017 series that presents case studies related to the theme of integration and partnerships as reflected in enterprise IT: Communicating the Business Value of Enterprise IT Integrating Data and Systems to Support Next-Generation Enterprise IT Aligning Institutional Processes Through Business Process Redesign Supporting Analytics through […]

How Five Newly Created Reports Using Analytics Informed and Surprised One Distance Learning Administrator

The purpose of this paper is to identify and explain the best practice of using “big data” reports to help distance learning administrators better understand their own programs and represent them to stakeholders. The authors examine five reports: (1) the number and percentage of graduates from the main campus who also take classes at the […]

Data, AI and Collaboration Top Higher Ed Tech Trends

Microsoft’s vice president for worldwide education, Anthony Salcito, highlights the future of higher education technology. EdTech Focus on Higher Education 

Research Project Figures Out How to Crowdsource Predictive Models

An MIT research project has come up with a way to crowdsource development of features for use in machine learning. Groups of data scientists contribute their ideas for this “feature engineering” into a collaboration tool named “FeatureHub.” The idea, according to lead researcher Micah Smith, is to enable contributors to spend a few hours reviewing […]

Portfolio, text, data, page

Designing and integrating reusable learning objects for meaningful learning: Cases from a graduate programme

E-learning quality depends on sound pedagogical integration between the content resources and lesson activities within an e-learning system. This study proposes that a meaningful learning with technology framework can be used to guide the design and integration of content resources with e-learning activities in ways that promote learning experiences, characterised by five dimensions: active, constructive, […]

Designing for student-facing learning analytics

Despite a narrative that sees learning analytics (LA) as a field that aims to enhance student learning, few student-facing solutions have emerged. This can make it difficult for educators to imagine how data can be used in the classroom, and in turn diminishes the promise of LA as an enabler for encouraging important skills such […]

RiPLE: Recommendation in Peer-Learning Environments Based on Knowledge Gaps and Interests

Various forms of Peer-Learning Environments are increasingly being used in postsecondary education, often to help build repositories of student generated learning objects. However, large classes can result in an extensive repository, which can make it more challenging for students to search for suitable objects that both reflect their interests and address their knowledge gaps. Recommender […]