Information and Learning Sciences: Volume 121 Issue 3/4

Scale up predictive models for early detection of at-risk students: a feasibility study

Ying Cui, Fu Chen, Ali Shiri

This study aims to investigate the feasibility of developing general predictive models for using the learning management system (LMS) data to predict student performances…

Does speaker’s voice enthusiasm affect social cue, cognitive load and transfer in multimedia learning?

Tze Wei Liew, Su-Mae Tan, Teck Ming Tan, Si Na Kew

This study aims to examine the effects of voice enthusiasm (enthusiastic voice vs calm voice) on social ratings of the speaker, cognitive load and transfer performance in…

Choice and interest in designed learning environments: the case of FUSE Studios

Daniela K. DiGiacomo, Katie Van Horne, William R. Penuel

Empirical investigation into the e-learning innovation, FUSE Studios, is both timely and relevant because FUSE is rapidly expanding domestically and abroad and there is…

Envisioning reciprocal and sustainable HBCU-LIS pipeline partnerships: What HBCU librarians have to say

Ana V. Ndumu, Tina Rollins

After the closing of four of the five historically Black college and university (HBCU)–based library and information science (LIS) graduate programs (leaving only that of…

Co-designing tools for workplace learning: A method for analysing and tracing the appropriation of affordances in design-based research

Sebastian Maximilian Dennerlein, Vladimir Tomberg, Tamsin Treasure-Jones, Dieter Theiler, Stefanie Lindstaedt, Tobias Ley

Introducing technology at work presents a special challenge as learning is tightly integrated with workplace practices. Current design-based research (DBR) methods are…