Eng, Bah Tee, and Song, Insu (2024) Game Theme Prediction for Smart Mobile Online Educational Games. In: Lecture Notes in Networks and Systems (1013) pp. 537-553. From: ICICT 2024: Ninth International Congress on Information and Communication Technology, 19-22 February 2024, London, UK.

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Abstract

Mobile educational games are designed to help people learn and acquire information about certain subjects, reinforce concepts and expand knowledge, and they proved invaluable as an alternative learning platform during the past Covid-19 pandemic. Every mobile educational game has a game theme which provides the background, setting and environment as imagined by the game designer. However, currently we are not too sure what game theme can be used for mobile educational game lesson on primary-level English or secondary-level Mathematics as few research studies have been conducted on game theme. The game theme used in any mobile educational game today is a random choice by the game designer. A good game theme will lead to more immersive experience for the game player. With the advent of artificial intelligence (AI), the game designer can now tap on AI machines and deep learning models to make an informed choice based on data provided. Hence, we start a research study to explore a new method of generating mobile educational game from combining classroom learning contents and the predictive power of AI algorithms. Specifically, we collected survey data from two hundred and fifty business undergraduates in Indonesia, built an AI model to process game learning content data and predicted the game theme to employ for each subject lesson rendered in the mobile educational game. From the results obtained, we managed to derive an accurate predictive model for Stage 1 and gained some interesting insights from exploratory data analysis.

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