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Direct linkSlezaka, Robert J.; Keren, Nir; Gilbert, Stephen B.; Harvey, Matthew E.; Ryan, Saxon J.; Wiley, Alex J. – Journal of Computer Assisted Learning, 2023
Industrial systems can be complex and not intuitive to perceive. Therefore, students in technology and engineering programs can benefit from developing mental models of industrial systems during their journey in college. However, more often than not, these students do not have access to industrial facilities; thus, developing mental models for…
Descriptors: Computer Simulation, Schemata (Cognition), Industry, Technology Education
Laurillard, D.; Charlton, P.; Craft, B.; Dimakopoulos, D.; Ljubojevic, D.; Magoulas, G.; Masterman, E.; Pujadas, R.; Whitley, E.A.; Whittlestone, K. – Journal of Computer Assisted Learning, 2013
The use of digital technologies is now widespread and increasing, but is not always optimized for effective learning. Teachers in higher education have little time or support to work on innovation and improvement of their teaching, which often means they simply replicate their current practice in a digital medium. This paper makes the case for a…
Descriptors: Teacher Improvement, Instructional Innovation, Instructional Design, Instructional Improvement
