Computer Engineering, Volume. 51, Issue 8, 341(2025)

Research on Application Effect of Virtual Teachers in Teaching Animation Supported by AIGC

LIU Juan*, HU Xuelian, ZHU Meirong, FENG Menglan, and WEN Suyue
Author Affiliations
  • Basic Education Big Data Research and Application Laboratory, Hunan Normal University, Changsha 410082, Hunan, China
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    References(26)

    [4] [4] RANDALL N. A survey of robot-assisted language learning[J]. ACM Transactions on Human-Robot Interaction, 2020, 9(1): 1-36.

    [8] [8] TAO Y Y, ZHANG G L, ZHANG D, et al. Exploring persona characteristics in learning: a review study of pedagogical agents[J]. Procedia Computer Science, 2022, 201: 87-94.

    [9] [9] LI W, WANG F, MAYER R E. Increasing the realism of on-screen embodied instructors creates more looking but less learning[J]. British Journal of Educational Psychology, 2024, 94(3): 759-776.

    [12] [12] POWERS A, KIESLER S. The advisor robot: tracing people's mental model from a robot's physical attributes[C]//Proceedings of the 1st ACM SIGCHI/SIGART Conference on Human-Robot Interaction. New York, USA: ACM Press, 2006: 218-225.

    [13] [13] MATHUR M B, REICHLING D B. Navigating a social world with robot partners: a quantitative cartography of the Uncanny Valley[J]. Cognition, 2016, 146: 22-32.

    [14] [14] BURGOON J K, BONITO J A, BENGTSSON B, et al. Interactivity in human-computer interaction: a study of credibility, understanding, and influence[J]. Computers in Human Behavior, 2000, 16(6): 553-574.

    [17] [17] LI M J, SUH A. Machinelike or humanlike? A literature review of anthropomorphism in AI-enabled technology[C]//Proceedings of the 54th Annual Hawaii International Conference on System Sciences. Washington D.C., USA: IEEE Press, 2021: 4053-4062.

    [18] [18] MUNIADY V, ALI A Z M. The effect of valence and arousal on virtual agent's designs in quiz based multimedia learning environment[J]. International Journal of Instruction, 2020, 13(4): 903-920.

    [19] [19] SENGAN S, KUMAR K, SUBRAMANIYASWAMY V, et al. Cost-effective and efficient 3D human model creation and re-identification application for human digital twins[J]. Multimedia Tools and Applications, 2022, 81(19): 26839-26856.

    [20] [20] XIN W, LEE B C. A study on digital human modeling process based on photos[J]. The Society of Modern Photography & Video, 2021, 24(3): 33-48.

    [22] [22] ROMBACH R, BLATTMANN A, LORENZ D, et al. High-resolution image synthesis with latent diffusion models[C]//Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition. New Orleans, USA: IEEE Press, 2022: 10684-10695.

    [23] [23] MORI M, MACDORMAN K, KAGEKI N. The uncanny valley[J]. IEEE Robotics & Automation Magazine, 2022, 19(2): 98-100.

    [24] [24] O'CONNOR C, JORDAN K, VAGG T, et al. Animated teaching improves student learning of human gastrulation and neurulation[J]. Annals of Anatomy-Anatomischer Anzeiger, 2023, 247: 152057.

    [25] [25] AYRES P, MARCUS N, CHAN C, et al. Learning hand manipulative tasks: when instructional animations are superior to equivalent static representations[J]. Computers in Human Behavior, 2009, 25(2): 348-353.

    [26] [26] HABSYI R, SALEH R R M. Developing e-learning based on animation content to improve students' mathematical connection abilities[J]. International Journal of Trends in Mathematics Education Research, 2022, 5(4): 429-434.

    [27] [27] BTRANCOURT M, DILLENBOURG P, CLAVIEN L. Display of key pictures from animation: effects on learning[M]. Berlin, Germany: Springer, 2008.

    [28] [28] HFFLER T N, LEUTNER D. Instructional animation versus static pictures: a meta-analysis[J]. Learning and Instruction, 2007, 17(6): 722-738.

    [30] [30] MORENO R, MAYER R. Interactive multimodal learning environments[J]. Educational Psychology Review, 2007, 19(3): 309-326.

    [31] [31] LEPPINK J, PAAS F, VAN DER VLEUTEN C P M, et al. Development of an instrument for measuring different types of cognitive load[J]. Behavior Research Methods, 2013, 45(4): 1058-1072.

    [32] [32] KUSURKAR R A, CROISET G. Autonomy support for autonomous motivation in medical education[J]. Medical Education Online, 2015, 20: 27951.

    [33] [33] PRICE T F, HARMON-JONES E. The effect of embodied emotive states on cognitive categorization[J]. Emotion, 2010, 10(6): 934-938.

    [37] [37] KOMBARTZKY U, PLOETZNER R, SCHLAG S, et al. Developing and evaluating a strategy for learning from animations[J]. Learning and Instruction, 2010, 20(5): 424-433.

    [38] [38] PLOETZNER R, SCHLAG S. Strategic learning from expository animations: short- and mid-term effects[J]. Computers & Education, 2013, 69: 159-168.

    [40] [40] DEL VALLE-CANENCIA M, MORENO MARTNEZ C, RODRGUEZ-JIMNEZ R M, et al. The emotions effect on a virtual characters design: a student perspective analysis[J]. Frontiers in Computer Science, 2022, 4: 892597.

    [45] [45] DAI L, JUNG M M, POSTMA M, et al. A systematic review of pedagogical agent research: similarities, differences and unexplored aspects[J]. Computers & Education, 2022, 190: 104607.

    [47] [47] HSIEH J K. The impact of influencers' multi-SNS use on followers' behavioral intentions: an integration of cue consistency theory and social identity theory[J]. Journal of Retailing and Consumer Services, 2023, 74: 103397.

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    LIU Juan, HU Xuelian, ZHU Meirong, FENG Menglan, WEN Suyue. Research on Application Effect of Virtual Teachers in Teaching Animation Supported by AIGC[J]. Computer Engineering, 2025, 51(8): 341

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    Paper Information

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    Received: Mar. 18, 2024

    Accepted: Aug. 26, 2025

    Published Online: Aug. 26, 2025

    The Author Email: LIU Juan (85825866@qq.com)

    DOI:10.19678/j.issn.1000-3428.0069604

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