An affective computing approach to develop the game-based adaptive learning material for the elementary students

E-learning has been the mainstream in the field of education. Nowadays, many children use the game-based learning materials for leaning. However, the difficulty and frustration of the materials usually decrease learners' pleasure and interests. Learners' facial emotions intuitionally respond to their learning condition. Accordingly, the aim of the study is developing the affective interface of the game-based adaptive learning to enhance children's learning motivation. The various difficulty levels of a puzzle game and learning contents are designed to adapt in accordance to the learner's facial emotion which is recognized and classified by Ekam's FACS. Three groups of the elementary school students are recruited to separately participate in the evaluation experiments. One group is for the adaptive game, another for the adaptive learning content, and the other one is the control group for no adaptive learning. Afterword the subjects use the affective usability scale to evaluate the system. The results reveal the game-based learning system could enhance learners' learning motivation and satisfaction. Conclude that the affective interface developed by facial affective computing is proposed to apply on the adaptive learning.