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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 […]
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 […]
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 […]
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
It’s a pivotal time for artificial intelligence in higher education. More instructors are experimenting with adaptive-learning systems in their classrooms. College advising systems are trying to use predictive analytics to increase student retention. And the infusion of algorithms is leading to questions—ethical questions and practical questions and philosophical questions—about how far higher education should go […]
According to cognitive load theorists, the incorporation of extraneous features, such as pedagogical agents, into the learning environment can introduce extraneous cognitive load and thus interfere with learning outcome scores. In this study, the influence of a pedagogical agent’s presence in an instructional video was compared to a video that did not contain a pedagogical […]
The aim of this paper is to explore the characteristics of the learners used by the developed adaptive educational hypermedia systems to date to draw conclusions about their relation to the adaptation techniques they use and to be explained the rationale for selecting of the learners’ characteristics used by the adaptive educational hypermedia system MATHEMA […]
Informing Progress: Insights on Personalized Learning Implementation and Effects The basic concept of personalized learning (PL) — instruction that is focused on meeting students’ individual learning needs while incorporating their interests and preferences — has been a longstanding practice in U.S. K–12 education. Options for personalization have increased as personal computing devices have become increasingly […]
Background The growth of competency-based programs means faculty are facing new challenges that require different institutional support than traditional programs. Method This article identifies how faculty roles are changing and discusses specific challenges for faculty in three diverse institutions, Rasmussen College, Westminster College, and Valdosta State University. Results and Conclusion The article recommends actions institutions […]
There have been several surveys assessing institutional interest in Competency-Based Education (CBE), but there is a need for a systematic analysis of how institutions are designing and implementing CBE at the course, program, or institutional level. This initiative proposes to close this research gap and advance the conversation about the scale, impact, and varieties of […]
