Affective states in digital game-based learning: Thematic evolution and social network analysis

• Published in: PloS one Vol. 16; no. 7; p. e0255184
• Main Authors: Chen, Xieling, Zou, Di, Kohnke, Lucas, Xie, Haoran, Cheng, Gary
• Format: Journal Article
• Language: English
• Published: San Francisco Public Library of Science 28.07.2021; Public Library of Science (PLoS)
• Subjects: Affect (Psychology); Affective computing; Anxiety; Bibliometrics; Biology and Life Sciences; Citation indexes; Cognitive ability; Computer & video games; Computer and Information Sciences; Education; Educational aspects; Emotional behavior; Emotional factors; Emotions; Evaluation; Evolution; Game theory; Games; Information technology; Learning; Learning strategies; Mathematical analysis; Motivation; Network analysis; Social discrimination learning; Social network analysis; Social networks; Social organization; Social Sciences; Students; Well being; Hong Kong, China; Hong Kong China; China

Research has indicated strong relationships between learners’ affect and their learning. Emotions relate closely to students’ well-being, learning quality, productivity, and interaction. Digital game-based learning (DGBL) has been widely recognized to be effective in enhancing learning experiences a...