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About Us

Exploring the potential of digital technologies,
supporting innovations in teaching and learning, and improving
the quality and equity of future education

Yi Zhang

College of Education for the Future, BNU
yizhan_g@bnu.edu.cn
Personal Profile
Yi Zhang is a Lecturer at the College of Education for the Future of Beijing Normal University's Zhuhai Campus. Her primary research interests and directions encompass Educational Technology and Educational Psychology. She focuses on exploring issues pertaining to digital resource design, the flipped classroom approach, and peer discussions within collaborative learning environments. Zhang Yi's research has delved into understanding the principles behind digital resource creation using advanced techniques like eye-tracking and EEG. She investigates how different tech-based teaching methods can enhance classroom outcomes, and she works to ascertain the factors affecting the success of peer discussions in collaborative settings and the best ways to intervene. Over the past five years, she has prolifically contributed to the field, publishing nearly 30 articles in CSSCI/SSCI journals. Among her accolades, Zhang Yi has been awarded the Second Prize in both the Sixth National Education Science Outstanding Achievement and the Shaanxi Province Higher Education Humanities and Social Sciences Outstanding Achievement categories. Furthermore, she serves as a reviewer for a range of esteemed journals, including Computers & Education, Education and Information Technologies, and Interactive Learning Environment.
Research Field
Multimedia learning; Video design; Learning strategy; Peer assessment
Recruiting Master/PhD students
Master: Educational Technology/ Curriculum Design
  • Teaching Practice

    Introduction to the Science of Learning
    Multimedia Learning Theory
  • Research Projects

    [1] 2022 Central China Normal University Excellent Doctoral Dissertation Cultivation Program Funding Project "The Impact of Drawing Strategies in Teaching Videos on Science Learning" (No. 2022YBZZ023), PI, completed;
    [2] Since 2021, he has participated in the National Natural Science Foundation of China general project "Research on the Cognitive Neural Mechanism and Intelligent Intervention of Generative Learning Strategies Affecting Video Learning" (No. 62177027).
    [3] From 2018 to 2023, he participated in the National Natural Science Foundation of China funded general project "Research on the Cognitive Neural Mechanism and Application of the Impact of Social Interaction on the Teaching and Learning of Video Courses" (No. 61877024).
    [4] 2021-present, Research on the Cultivation and Improvement of Informatization Teaching Ability of Normal Students for Curriculum Teaching Practice (2021-2026), 2021 Teacher Education Special Research Project of Central China Normal University, core participant, under research;
    [5] From 2019 to 2020, he participated in the major achievement cultivation project of the China Collaborative Innovation Center for Basic Education Quality Monitoring, "Survey on the Internet + Education Status of Primary and Secondary Schools in China", core participant, completed;
  • Academic Achievements

    Papers

    [1] 杨九民, 章仪, 杨荣华, 皮忠玲*. (2023). 想象策略能促进多媒体的学习么?元分析的视角. 心理科学进展. (CSSCI)

    [2] 杨九民, 章仪, 徐珂, 皮忠玲*. (2021). 学习策略对视频学习的影响:想象、绘图和自我解释策略. 电化教育研究, 42(10), 40-47. (CSSCI)

    [3] 杨九民, 章仪, 李丽, 皮忠玲*. (2019). 教师引导行为与学习者先前知识水平对视频学习的交互影响. 中国电化教育, (7), 74-81. (CSSC)

    [4] 杨九民, 皮忠玲, 章仪, 徐珂, 喻邱晨, 黄勃*. (2020). 教学视频中教师目光作用:基于眼动的证据. 中国电化教育, (9), 22-29. (CSSCI)

    [5] 皮忠玲, 章仪, 杨九民*. (2019). 教师手势对视频学习的影响及其认知神经机制. 中国电化教育, (4), 103-129. (CSSCI)

    [6] Zhang, Y*., Schunn, D. C. (2023). Self-regulation of peer feedback quality aspects through different dimensions of experience within prior peer feedback assignments. Contemporary Educational Psychology, 74, 102210. (JCR Q1; IF: 10.3)

    [7] Zhang, Y., Xu, K., Pan, Y., Pi, Z.*, & Yang, J*. (2023). Effects of Segmentation and Drawing effects on video learning: A mediation analysis. Active Learning in Higher Education. https://doi.org/10.1177/14697874231180601 (JCR Q1; IF: 5.60)

    [8] Zhang, Y., Yang, J., Dai, C., & Pi, Z. (2024). Students’ strategy preference moderates effects of open or focused self-explanation prompts on learning from video lectures. Educational Technology & Society, 27(1), 84-99. (JCR Q1; IF: 4.020)

    [9] Zhang Y., Pi, Z.*, Chen, L., Zhang, X., & Yang, J*. (2021). Online peer assessment improves learners’ creativity: not only learners’ roles as an assessor or assessee, but also their behavioral sequence matter. Thinking Skills and Creativity, 42, 100950 (JCR: Q1; IF: 4.2)

    [10] Zhang Y., Xu, K., Pi, Z.*, & Yang, J*. (2022). Instructor’s position affects learning from video lectures in Chinese context: an eye-tracking study. Behaviour & Information Technology, 41(9), 1988-1997. (JCR: Q2; IF: 3.32)

    [11] Zhang Y., Dai C., Pi Z.*, & Yang, J.* (2023). Pre-class teacher feedback in the flipped classroom: Cognitive or praise feedback is better than mitigating feedback. Innovations in Education and Teaching International, 60(3), 357–367. (JCR: Q3; IF: 2.027)

    [12] Pi, Z.#, Zhang, Y.#, Zhou, W., Xu, K., Chen, Y., Yang, J.*, & Zhao, Q*. (2021). Learning by explaining to oneself and a peer enhances learners’ theta and alpha oscillations while watching video lectures. British Journal of Educational Technology, 52(2), 659-679. (共同一作; JCR: Q1; IF: 6.6)

    [13] Pi Z.#, Zhang Y.#, Shi, D., Guo, X., & Yang, J*. (2022). Is self-explanation better than explaining to a fictitious student when learning from video lectures? British Journal of Educational Technology, 53(6), 2012-2028. (共同一作; JCR: Q1; IF: 5.268)

    [14] Pi, Z.#, Zhang, Y.#, Xu, K., Yang, J.* (2023). Does an outline of contents promote learning from videos? A study on learning performance and engagement. Education and Information Technologies, 28(3), 3493-3511. (共同一作; JCR: Q1; IF: 3.666)

    [15] Chen, H., Zhang, Y., Chen, W., Yu, Q., & Yang, J*. (2023). Does an instructor’s positive emotion facilitate learning from video lectures across different levels of content difficulty. Educational Psychology.

    [16] Pi, Z., Yu, Q. Zhang, Y., Chen, H., Li, Y., & Yang, J*. (2023). Presenting Points or Rank: The impacts of Leaderboard Elements on English Vocabulary Learning Through Video Lectures. Journal of Computer Assist Learning

    [17] Pi, Z., Zhang, Y., Yu, Q. & Yang, J*. (2023). A familiar peer improves students’ behavior patterns, attention, and performance when learning from video lectures. International Journal of Educational Technology in Higher Education, 20, 47. https://doi.org/10.1186/s41239-023-00418-1

    [18] Pi, Z., Zhang, Y., Qi, Y., & Yang, J*. (2023). Difficulty level moderates the effects of another's presence as spectator or co-actor on learning from video lectures. Educational Technology Research and Development https://doi.org/10.1007/s11423-023-10256-7. (JCR: Q1; IF: 5.580).

    [19] Yang, J., Liu, C., Zhang, Y., Yu, Q., & Pi, Z* .(2023). The teacher’s eye gaze in university classrooms: Evidence from a field study. Innovations in Education and Teaching International, 60(1), 4-14. (JCR: Q3; IF: 2.027)

    [20] Yang, J., Wu, C., Liu, C., Zhang, Y., & Pi, Z*. (2022). Personalization and pauses in speech: Children’s learning performance via instructional videos. Current Psychology, 1-11. (JCR: Q2; IF: 2.643)

    [21] Yang, J., Zhang, Y., Pi, Z.*, Xie, Y*. (2021). Students’ achievement motivation moderates the effects of interpolated pre-questions on attention and learning from video lectures. Learning and Individual Differences, 91, 102055. (JCR: Q1; IF: 3.897).

    [22] Pi, Z., Zhu, F., Zhang, Y., Chen, L., & Yang, J. (2022). Complexity of visual learning material moderates the effects of instructor's beat gestures and head nods in video lectures. Learning and Instruction, 77, 101520. (JCR: Q1; IF: 6.636)

    [23] Pi, Z., Zhu, F., Zhang, Y., Yang, J. (2021). An instructor’s beat gestures facilitate second language vocabulary learning from instructional videos: Behavioral and neural evidence. Language Teaching Research. https://doi.org/10.1177/13621688211039023(JCR: Q1; IF: 3.401)

    [24] Pi, Z., Zhang, Y., Yu, Q., Zhang, Y., Yang, J., & Zhao, Q. (2022). Neural oscillations and learning performance vary with an instructor's gestures and visual materials in video lectures. British Journal of Educational Technology, 53(1), 93-113.(JCR: Q1; IF: 5.268)

    [25] Pi, Z., Zhang, Y., Zhu, F., Chen, L., Guo, X., & Yang, J*. (2021). The mutual influence of an instructor’s eye gaze and facial expression in video lectures. Interactive Learning Environments, DOI: 10.1080/10494820.2021.1940213 (JCR: Q1; IF: 4.965)

    [26] Pi, Z., Zhang, Y., Zhu, F., Xu, K., & Yang, J.*, Hu, W*. (2019). Instructors’ pointing gestures improve learning regardless of their use of directed gaze in video lectures. Computers & Education, 128, 345-352. (JCR: Q1; IF: 11.182)

    [27] Pi, Z., Zhang, Y., Yang, J., Hu, W., & Yang, H. (2019). All roads lead to Rome: Instructors’ pointing and depictive gestures in video lectures promote learning through different patterns of attention allocation. The Journal of Nonverbal Behavior, 43(4), 549–559. (JCR: Q2; IF: 4.019)

    [28] Pi, Z., Zhang, Y., Liu, C., Zhou, W., & Yang, J*. (2023). Generative learning supports learning from video lectures: evidence from an EEG study. Instructional Science, 51, 231–249. (JCR: Q3; IF: 3.282)




    Publications

    [1] Zhang, Y., Gu, L., Pi, Z., & Yang, J. (2020). Feedback is not always better: Interpolating question before learning but no feedback in video lectures facilitating students’ performance. The 24th Global Chinese Conference on Computers in Education, (pp. 711-715).

    [2] Zhang, Y., Pi, Z., & Yang, J. (2020). What type of inserting questions would you prefer in video lectures: the questions inserted before learning, after learning or continuously? The 23th Global Chinese Conference on Computers in Education, (pp. pp. 273-277).

    [3] Zhang, Y., Guo, X., Pi, Z., & Yang, J. (2021, December). Learning by Drawing in STEM: A Meta-Analysis. In 2021 Tenth International Conference of Educational Innovation through Technology (EITT) (pp. 83-87). IEEE. (EI检索)

    [4] Yang R., Zhang, Y., Liu, Y., & Yang, J. (2022). Effects of practice on software training video for college students. The 4th International Conference on Computer Science and Technologies in Education. (EI检索)

    [5] 李妍,陈辉,章仪,杨九民. (2021). 生成性学习策略对视频课程学习的影响研究--以解释策略和体感学习策略为例. 第二十届教育技术国际论坛.(最佳论文)


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