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Artificial Intelligence through A Contextual Game-based Learning Approach to Cultivating Digital Citizenship Behaviors

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Presentations

Publications

01.

Panjaburee, P., Hwang, G.J., Intarakamhang, U., Srisawasdi, N., & Poompimol, S. (2022).

Trends and Development of Artificial Intelligence in Game-based Learning from 2011 to 2022: A Promising Environment for Learning Digital Citizenship Behaviors in Thailand.

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02.

Panjaburee, P., Hwang, G.-J., Intarakamhang, U., Srisawasdi, N., Poompimol, S., & Tapingkae, P. (2023).

Effects of Decision Tree-based Online Gaming Framework on Students' Digital Citizenship Behaviors and Patterns.

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03.

Panjaburee, P., Intarakamhang, U., Srisawasdi, N. , Poompimol, S., & Tapingkae, P. (inpressed).

Predictors of active and inactive learners’ intention to use decision tree-based contextual mobile games for cultivating digital citizenship behaviour.

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04.

Panjaburee, P., Srisawasdi, N. & Poompimol, S. (2024).

Design of Decision Tree-Based Face Emotion Interaction in Contextual Game.

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05.

Panjaburee, P., Srisawasdi, N., & Chaipidech, P. (in review).

A Fuzzy Logic and Decision Tree-based Personalized Gaming Approach for Enhancing Digital Citizenship Learning: A Study on Student Affections and Eye-Tracking.

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