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Posts Tagged ‘Learning Systems’

Online collaborative learning activities: The perspectives of minority graduate students

This exploratory study examined the perspectives of minority graduate students toward online collaborative learning activities. The participants were twenty graduate minority students (15 African Americans, five Hispanics, and five international students from Africa) in online graduate programs in instructional technology education in in the Northeastern United States. A qualitative study was conducted semi-structured interviews, focus […]

Mobile augmented communication for remote collaboration in a physical work context

Informal learning in a physical work context requires communication and collaboration that build on a common ground and an active awareness of a situation. We explored whether mobile video conversations augmented with on-screen drawing features were beneficial for improving communication and remote collaboration practices in the construction and facility maintenance services sectors. We used field […]

Learners’ reflexivity and the development of an e-learning community among students in China

The experiences of Chinese learners on two e-learning programmes in China were investigated, focusing particularly on the formation of learning communities. Data were collected using a range of instruments to access the learners’ perspectives in depth and detail. Archer’s account of reflexivity as the mediating power between structure and agency is applied to understanding how […]

Learner antecedents of youth’s beliefs about agency and online learning

Developing students’ digital skills and self-confidence in their ability to purposefully use online learning opportunities is considered important for achieving educational objectives. This study empirically explores antecedents of young people’s beliefs about agency in online learning by applying structural equation modeling to a sample of 3400 Nordic youth age 15–17. The targeted antecedents are young […]

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 […]

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 […]

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 […]

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