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Research Articles

Digital interactive case-based instruction: a useful tool to enhance preservice teacher education

ORCID Icon, ORCID Icon, , , &
Pages 389-404 | Received 16 Sep 2019, Accepted 03 Feb 2023, Published online: 12 Apr 2023
 

ABSTRACT

Technology has been playing an increasingly important role in teaching and learning because of its capacity to increase students’ motivation and provide them with opportunities to explore and acquire new knowledge and skills. However, little is known regarding the effectiveness of using the digital interactive case-based instruction (CBI) approach to support teaching and learning. Hence, this study investigated the effectiveness of digital interactive CBI in supporting learning of behaviourism among 234 preservice teachers. The results indicated that digital interactive CBI was a useful tool for enhancing learning. Preservice teachers not only found the activity engaging, but also believed that it was helpful in deepening their understanding towards operant conditioning and improving their abilities to analyse and solve real-world problems. The detailed findings will provide helpful insights to teacher educators who are considering implementing CBI in teacher education programmes.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Meihua Qian

Meihua Qian is an Associate Professor of Educational Psychology at Clemson University. Her current research focuses on creativity assessment, game-based learning, test bias and machine learning.

D. Matthew Boyer

D. Matthew Boyer is a Research Associate Professor. His research involves how people learn with technology, primarily focused on how we capture and model knowledge and experience using digital technologies.

Qianyi Gao

Qianyi Gao is an Assistant Research Scientist in the College of Education at the University of Iowa. Her research interests include creativity, arts integration and play-based learning.

Penelope Vargas

Penelope Vargas received her PhD from the University of Oklahoma in 2012. Her thesis focused on how beliefs about the nature of knowledge and motivations around knowledge construction influence how students seek out and use information.

Elizabeth Leigh Mercer

Elizabeth Leigh Mercer is a graduate from Clemson University as well as Claremont Graduate University, where she studied Psychology and Organizational Behavior. Her research interests at the time were focused in Educational Psychology and Industrial/Organizational Psychology. Since graduating, she has worked as a researcher and currently works in corporate wellness.

Andrew Xianyong Wang

Andrew Xianyong Wang is a Lecturer in the Wilbur O. and Ann Powers College of Business at Clemson University. His research focuses on machine learning, business analytics, consumer behaviour and health marketing.

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