Using Teacher Feedback to Refine an Educational Video Game Evaluation Model

Using Teacher Feedback to Refine an Educational Video Game Evaluation Model

Using Teacher Feedback to Refine an Educational Video Game Evaluation Model

Matthew Duvall, Joyce Chen, Ai He, Victor Lou, Hetali Shah, Yue Shi, Yizheng Shuai, Mingyan Tian

Abstract

"As part of an ongoing project, our research team worked with three social studies teachers to refine the Teacher Lens for Digital Relevance (TLDR) model for evaluating educational video games (EVGs). We found that the model was useful to teachers for focusing their attention on important aspects of EVGs. Our findings suggest that the TLDR model is a promising tool for helping teachers but may benefit from further refinements to enhance its usability and adoption."

Reference

Duvall, M., Chen, J., He, A., Lou, V., Shah, H., Shi, Y., Shuai, Y., & Tian, M. (2024). Using teacher feedback to refine an educational video game evaluation model. International Society of the Learning Sciences. https://repository.isls.org/handle/1/10975

Keywords

Teacher Lens for Digital Relevance (TLDR) model, Educational Video Games (EVGs), Teacher Evaluation