Jing Wang , Shaoying Gong , Yang Cao , Xiaorong Guo , Peiyan Peng
{"title":"教育游戏化中的个性化:具有不同特质竞争力的学习者从排行榜的排名中获益不同","authors":"Jing Wang , Shaoying Gong , Yang Cao , Xiaorong Guo , Peiyan Peng","doi":"10.1016/j.compedu.2024.105196","DOIUrl":null,"url":null,"abstract":"<div><div>Leaderboards are among the most prevalent game elements and are widely used in educational gamification. However, most research has primarily compared learning scenarios using leaderboards with those not using leaderboards, ignoring the role of specific components of leaderboards such as rankings. Given that learners’ perceptions of leaderboards depend on their rankings, this study investigated how rankings (high vs. low) and learners’ trait competitiveness (high vs. low) influence learning in educational gamification. Sixty-one high-trait-competitiveness and sixty-two low-trait-competitiveness learners were randomly assigned to either high-ranking or low-ranking conditions. The results revealed the moderating role of trait competitiveness in the relationship between leaderboard rankings and learning. Interestingly, higher rankings were more beneficial in enhancing learning motivation of learners with low trait competitiveness, while lower rankings had more positive effects on performance of those with high trait competitiveness. Additionally, negative emotions mediated the relationship between rankings and learning performance, while the mediating effect of learning motivation was only significant for learners with low trait competitiveness. The implications of these findings for the design of effective gamified learning environments based on learners’ characteristics were discussed.</div></div>","PeriodicalId":10568,"journal":{"name":"Computers & Education","volume":"225 ","pages":"Article 105196"},"PeriodicalIF":8.9000,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Personalization in educational gamification: Learners with different trait competitiveness benefit differently from rankings on leaderboards\",\"authors\":\"Jing Wang , Shaoying Gong , Yang Cao , Xiaorong Guo , Peiyan Peng\",\"doi\":\"10.1016/j.compedu.2024.105196\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Leaderboards are among the most prevalent game elements and are widely used in educational gamification. However, most research has primarily compared learning scenarios using leaderboards with those not using leaderboards, ignoring the role of specific components of leaderboards such as rankings. Given that learners’ perceptions of leaderboards depend on their rankings, this study investigated how rankings (high vs. low) and learners’ trait competitiveness (high vs. low) influence learning in educational gamification. Sixty-one high-trait-competitiveness and sixty-two low-trait-competitiveness learners were randomly assigned to either high-ranking or low-ranking conditions. The results revealed the moderating role of trait competitiveness in the relationship between leaderboard rankings and learning. Interestingly, higher rankings were more beneficial in enhancing learning motivation of learners with low trait competitiveness, while lower rankings had more positive effects on performance of those with high trait competitiveness. Additionally, negative emotions mediated the relationship between rankings and learning performance, while the mediating effect of learning motivation was only significant for learners with low trait competitiveness. The implications of these findings for the design of effective gamified learning environments based on learners’ characteristics were discussed.</div></div>\",\"PeriodicalId\":10568,\"journal\":{\"name\":\"Computers & Education\",\"volume\":\"225 \",\"pages\":\"Article 105196\"},\"PeriodicalIF\":8.9000,\"publicationDate\":\"2024-11-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers & Education\",\"FirstCategoryId\":\"95\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0360131524002100\",\"RegionNum\":1,\"RegionCategory\":\"教育学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Education","FirstCategoryId":"95","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0360131524002100","RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Personalization in educational gamification: Learners with different trait competitiveness benefit differently from rankings on leaderboards
Leaderboards are among the most prevalent game elements and are widely used in educational gamification. However, most research has primarily compared learning scenarios using leaderboards with those not using leaderboards, ignoring the role of specific components of leaderboards such as rankings. Given that learners’ perceptions of leaderboards depend on their rankings, this study investigated how rankings (high vs. low) and learners’ trait competitiveness (high vs. low) influence learning in educational gamification. Sixty-one high-trait-competitiveness and sixty-two low-trait-competitiveness learners were randomly assigned to either high-ranking or low-ranking conditions. The results revealed the moderating role of trait competitiveness in the relationship between leaderboard rankings and learning. Interestingly, higher rankings were more beneficial in enhancing learning motivation of learners with low trait competitiveness, while lower rankings had more positive effects on performance of those with high trait competitiveness. Additionally, negative emotions mediated the relationship between rankings and learning performance, while the mediating effect of learning motivation was only significant for learners with low trait competitiveness. The implications of these findings for the design of effective gamified learning environments based on learners’ characteristics were discussed.
期刊介绍:
Computers & Education seeks to advance understanding of how digital technology can improve education by publishing high-quality research that expands both theory and practice. The journal welcomes research papers exploring the pedagogical applications of digital technology, with a focus broad enough to appeal to the wider education community.