Archive for the ‘Higher Education’ Category

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, […]

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 […]

Closing the loop: Automated data-driven cognitive model discoveries lead to improved instruction and learning gains

As the use of educational technology becomes more ubiquitous, an enormous amount of learning process data is being produced. Educational data mining seeks to analyze and model these data, with the ultimate goal of improving learning outcomes. The most firmly grounded and rigorous evaluation of an educational data mining discovery is whether it yields better […]

Recommending Learning Activities in Social Network Using Data Mining Algorithms

In this paper, we show how data mining algorithms (e.g. Apriori Algorithm (AP) and Collaborative Filtering (CF)) is useful in New Social Network (NSN-AP-CF). “NSN-AP-CF” processes the clusters based on different learning styles. Next, it analyzes the habits and the interests of the users through mining the frequent episodes by the Apriori algorithm. Finally, it […]

Digital Immigrants in Distance Education

The constant growth of methods of education that incorporate the Internet into teaching-learning processes has opened up a wide range of opportunities for students across the world to gain entry to undergraduate or graduate degree programs. However, if the enrolling student is a digital immigrant, the chances of success may be limited by the difficulty […]

2017 Digital Literacy Impact Study> An NMC Horizon Project Strategic Brief

The 2017 Digital Literacy Impact Study: An NMC Horizon Project Strategic Brief uncovers the learner’s perspective of how digital literacy training influences work life after graduation. As a complement to the definitions and frameworks outlined in the 2017 strategic brief on digital literacy in higher education, this study examines digital literacy in action as learners […]

IMC LMS Review: Complete Learning Suite for Online & On The Job Training

Here we provide an in-depth review of the IMC LMS – The Learning Suite. This is one of the most comprehensively engineered and configurable elearning solutions we have seen for both online / remote and on the job training. Learning Light 

The OU spreads its wings and takes its apprenticeship expertise to the US

The Open University has partnered with the Transatlantic Apprenticeship Exchange Forum (TAEF) to support the United States in its drive to expand modern and non-traditional apprenticeships. The Open University 

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Students say colleges lag in providing personalized digital experience Tech-savvy reputation is a key factor for 9 in 10 students when applying to colleges, but schools need to do more, Ellucian study concludes.​ Edscoop