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Zhongzhou Chen; Tom Zhang; Michelle Taub – Journal of Learning Analytics, 2024
The current study measures the extent to which students' self-regulated learning tactics and learning outcomes change as the result of a deliberate, data-driven improvement in the learning design of mastery-based online learning modules. In the original design, students were required to attempt the assessment once before being allowed to access…
Descriptors: Learning Analytics, Algorithms, Instructional Materials, Course Content
Giordano, Andrea N.; Christopher, Casey R. – Journal of Chemical Education, 2020
The Spring 2020 semester will be marked in our history as one of the most challenging semesters for higher education, although through the adversity, we were presented with opportunities for classroom innovation. A reflective account of the teaching insights gained from implementing a COVID-19 miniunit and utilizing remote oral examinations is…
Descriptors: Best Practices, Teaching Methods, COVID-19, Pandemics
Onguko, Brown Bully – Electronic Journal of e-Learning, 2014
JiFUNzeni blended learning approach is a sustainable approach to provision of professional development (PD) for those in challenging educational contexts. JiFUNzeni approach emphasizes training regional experts to create blended learning content, working with appropriate technology while building content repositories. JiFUNzeni approach was…
Descriptors: Blended Learning, Faculty Development, Sustainability, Educational Technology
Ayyagari, Ramakrishna – Journal of Information Systems Education, 2011
Recent struggles with ERP systems (Kanaracus, 2010) highlight that teaching ERP skills is still very relevant today. Previous research suggests that knowledge of ERP concepts is more important than skills with any particular ERP package (Strong et al., 2006). However, a review of published studies in "JISE" shows a bias towards commercial ERP…
Descriptors: Course Content, Skill Development, Active Learning, Instructional Innovation
Kurilovas, Eugenijus; Serikoviene, Silvija – Informatics in Education, 2010
The paper aims to analyse several scientific approaches how to evaluate, implement or choose learning content and software suitable for personalised users/learners needs. Learning objects metadata customisation method as well as the Method of multiple criteria evaluation and optimisation of learning software represented by the experts' additive…
Descriptors: Computer Software, Course Content, Evaluation Methods, Electronic Learning