Drivers of Competitive Behavior in Persuasive Technology in Education

被引:4
|
作者
Orji, Fidelia [1 ]
Oyibo, Kiemute [1 ]
Greer, Jim [1 ]
Vassileva, Julita [1 ]
机构
[1] Univ Saskatchewan, Dept Comp Sci, Saskatoon, SK, Canada
来源
ADJUNCT PUBLICATION OF THE 27TH CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION (ACM UMAP '19 ADJUNCT) | 2019年
关键词
Persuasive Technology; Persuasive Strategies; Social Influence; Competition; Social Comparison; Social Learning; Reward; Persuasion in Education; DESIGN;
D O I
10.1145/3314183.3323850
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Competition has been identified as an intrinsic motivation that could lead to successful outcomes in education. However, in Persuasive Technology in Education (PTE) research, there are limited studies showing its possible predictors. To advance research in this area, we conducted an empirical study among university students (N = 243) to uncover how extrinsic factors and social influence, which are external to learners, influence students' susceptibility to Competition. Specifically, we investigated how Social Learning, Social Comparison, and Reward, which are widely applied in persuasive technologies (PTs), influence Competition. Our results show that Social Comparison and Reward have significant influence on Competition, with Social Comparison (beta = 0.52, p < 0.001) having a stronger influence than Reward (beta = 0.29, p < 0.001). However, Social Learning (beta = -0.07, p = n.s) has no significant effect on Competition. Our model accounts for about 41% of the variance of Competition. Moreover, our multigroup analysis reveals that there are no significant differences between males and females, indicating that our findings generalize across gender. These findings suggest that Social Comparison, Reward, and Competition are compatible strategies, which can be implemented together in a persuasive system for education. We discuss the implications of our findings.
引用
收藏
页码:127 / 134
页数:8
相关论文
共 50 条
  • [41] Social Media as Persuasive Technology for Business in Malaysia
    Hassan, Shahizan
    Shiratuddin, Norshuhada
    Ab Salam, Sobihatun Nur
    INTERNATIONAL JOURNAL OF E-BUSINESS RESEARCH, 2015, 11 (02) : 18 - 39
  • [42] Trends in Persuasive Technologies for Physical Activity and Sedentary Behavior: A Systematic Review
    Aldenaini, Noora
    Alqahtani, Felwah
    Orji, Rita
    Sampalli, Srinivas
    FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2020, 3
  • [43] Distributed user experience in persuasive technology environments
    Segerstahl, Katarina
    Oinas-Kukkonen, Harri
    PERSUASIVE TECHNOLOGY, 2007, 4744 : 80 - 91
  • [44] A systematic literature review on persuasive technology at the workplace
    Wenker, Kilian
    PATTERNS, 2022, 3 (08):
  • [45] AULURA: Engaging Users with Ambient Persuasive Technology
    Faber, Jabe Piter
    Markopoulos, Panos
    Dadlani, Pavan
    van Halteren, Aart
    AMBIENT INTELLIGENCE, 2011, 7040 : 215 - +
  • [46] Persuasive Web Design for Online Islamic Education
    Daud, Nor Aziah
    Redzuan, Fauziah
    Nasruddin, Zan Azma
    Ashaari, Noraidah Sahari
    Muda, Zurina
    PROCEEDINGS OF THE 2017 6TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND INFORMATICS (ICEEI'17), 2017,
  • [47] Persuasive Technology to Support Chronic Health Conditions: Investigating the Optimal Persuasive Strategies for Persons with COPD
    Wais-Zechmann, Beatrix
    Gattol, Valentin
    Neureiter, Katja
    Orji, Rita
    Tscheligi, Manfred
    PERSUASIVE TECHNOLOGY, PERSUASIVE 2018, 2018, 10809 : 255 - 266
  • [48] Tailoring Persuasive Technology: A Systematic Review of Literature of Self-schema Theory and Transformative Learning Theory in Persuasive Technology Context
    Tikka, Piiastiina
    Oinas-Kukkonen, Harri
    CYBERPSYCHOLOGY-JOURNAL OF PSYCHOSOCIAL RESEARCH ON CYBERSPACE, 2019, 13 (03):
  • [49] Ambient intelligence and persuasive technology: The blurring boundaries between human and technology
    Verbeek P.-P.
    NanoEthics, 2009, 3 (3) : 231 - 242
  • [50] A panoramic view of personalization based on individual differences in persuasive and behavior change interventions
    Alslaity, Alaa
    Chan, Gerry
    Orji, Rita
    FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2023, 6