人員

Dr. Yang obtained her Ph.D. in education from the Education University of Hong Kong (EdUHK) in 2023. Before that, she got a master degree in information technology in education from the University of Hong Kong (HKU) in 2018. She was a post-doctoral fellow in the Artificial Intelligence and Digital Competency Education Centre (AIDCEC), EdUHK. Her research interests include technology-enhanced language learning, innovative pedagogical designs, self-regulated learning analytics, and AI literacy.

• Technology-enhanced learning
• Innovative pedagogical designs
• Self-regulated learning
• Second language acquisition
• Computer assisted language learning
• AI literacy

• E-learning strategies and pedagogy
• Research methods in educational technology/language education
• English education: curriculum and pedagogy
• Technology-supported learning (including AI): emerging technologies for language learning and assessment
• Digital literacy
• Metaverse in education

Journal Publications

• Yang, Y., Cai, Y., & Song, Y. (2024). Examining the effect of a mobile-assisted self-regulation scheme on primary students’ self-regulated vocabulary learning via latent growth modelling. Educational Technology & Society, 27(3), https://doi.org/10.30191/ETS.202407_27(3) (SSCI, Q1)
• Yang, Y., Wen, Y., & Song, Y. (2023). A systematic review of technology-enhanced self-regulated language learning. Educational Technology & Society, 26 (1), 31-44. https://doi.org/10.30191/ETS.202301_26(1).0003 (SSCI, Q1)
• Yang, Y., & Song, Y. (2022). Understanding primary students’ self-regulated vocabulary learning behaviours on a mobile app via learning analytics and their associated outcomes: a case study. Journal of Computers in Education, 1-30. https://doi.org/10.1007/s40692-022-00251-x (JSE Q1, Impact score 2021 is 4.69)
• Song, Y., Ogata, H., Yang, Y., & Mouri, K. (2023). Investigating the impact of a mobile learner-generated-content tool on pupils’ after-school English vocabulary behavioural learning patterns, learning performance and motivation: a case study. Int. J. Mobile Learning and Organisation, 17 (3), 406-425. https://doi.org/10.1504/IJMLO.2023.131855
• Song, Y., Wen, Y., Yang, Y., & Cao, J. (2022). Developing a ‘Virtual Go mode’ on a mobile app to enhance primary students’ vocabulary learning engagement: an exploratory study. Innovation in Language Learning and Teaching, 1-10. https://doi.org/10.1080/17501229.2022.2047693 (SSCI, Q1)
• Song, Y., Cao, J., Yang, Y., & Looi, C.-K. (2022). Mapping primary students’ mobile collaborative inquiry-based learning behaviours in science collaborative problem solving via learning analytics. International Journal of Educational Research, 114, 101992. https://doi.org/10.1016/j.ijer.2022.1019922 (SSCI, Q1)

Conference Papers

• Kong, S.-C., & Yang, Y. (2023). Designing and evaluating an attention-engagement-error-reflection (AEER) approach to enhance primary school students artificial intelligence literacy and learning-to-learn skills: A pilot study. In Proceedings of the 31st international conference on computers in education. December 4-8, 2023, Matsue, Shimane, Japan.
• Yang, Y., & Song, Y. (2023). Investigating primary students’ self-regulated vocabulary learning mediated by the mobile app through the lens of affordance-actualization theory. In Proceedings of the 2nd APSCE International Conference on Future Language Learning 2023 (pp. 65-66), 29-31 May, Beijing Normal University, Beijing.
• Song, Y., Yang, Y., & Tao, L. (2023). Applications of the metaverse in education – A systematic review of studies from 2013-2022. In Proceedings of the “International Conference on Learning and Teaching for Future Readiness 2023” (ICLT2023).
• Yang, Y., & Song, Y. (2022). Examining primary student self-regulated vocabulary learning behavioural patterns and vocabulary learning outcomes leveraged by the mobile app with a self-regulation scheme. In J. Colpaert, Y. Wang, & G. Stockwell (Eds.), Proceedings of the XXIst International CALL Research Conference (pp. 204–211). Castledown Publishers. https://doi.org/10.29140/9781914291050-28
• Yang, Y., & Song, Y. (2022). Chatbot-assisted language learning: A systematic review of 2012-2021 publications. In Proceedings of the 5th Pedagogy and Practice in Technology Enhanced Language Learning (PPTELL 2022) Conference (pp 71-72), Shanxi Normal University, Xi’an, China.
• Yang, Y., & Song, Y. (2022). A study on social interactions among primary students in English vocabulary acquisition in a mobile learner-generated content learning environment. In J. Colpaert, Y. Wang, & G. Stockwell (Eds.), Proceedings of the XXIst International CALL Research Conference (pp. 194–203). Castledown Publishers. https://doi.org/10.29140/9781914291050-27
• Yang, Y., & Song, Y. (2022). Clustering primary students’ self-regulated vocabulary learning behaviours mediated by a mobile-assisted self-regulation scheme. In Proceedings of the 1st APSCE International Conference on Future Language Learning 2023 (pp. 27), 1-3 July, The Education University of Hong Kong, Hong Kong.
• Yang, Y., & Song, Y. (2022). Effects of a self-regulation scheme embedded in a mobile app on undergraduate students’ English vocabulary learning performance and cognitive engagement. In Conference Proceedings (English paper track) of the 26th Global Chinese Conference on Computers in Education (GCCCE2021) (pp. 61-64). 28 May-1 June, National Tsing Hua University, Taiwan.
• Yang, Y., & Song, Y. (2021). How did technologies “assist” self-regulated language learning?- A systematic review of research from 2011 to 2020. In Proceedings of the 25th Global Chinese Conference on Computers in Education (GCCCE2021) (pp. 51-58), Hong Kong.
• Yang, Y., Song, Y., Cao, J., & Wu, K. (2021). Understanding undergraduate self-regulated vocabulary learning processes and outcomes leveraged by a mobile app embedded with a self-regulation scheme. The 4th Pedagogy and Practice in Technology Enhanced Language Learning (PPTELL 2021) Conference (pp 91-92), 28-30 June, 2021, Taipei, Taiwan.
• Song, Y., Yang, Y., & Cao, J. (2021). Enhancing primary students’ collaborative problem-solving skills via a metacognitive scaffold embedded in a mobile app. In Workshop Proceedings of the 25th Global Chinese Conference on Computers in Education (GCCCE2021) (pp. 151-154). 28 May -1 June, National Tsing Hua University, Taiwan.
• Song, Y., Cao, J., & Yang, Y. (2020). Evaluation of the m-Orchestrate app for scaffolding pupils’ collaborative science inquiry during COVID-19. In Proceeding of the 28th International Conference on Computers in Education. Australia: Asia-Pacific Society for Computers in Education (ICCE) (pp. 377-385), 23-27 November, 2020.
• Song, Y., Ogata, H., Yang, Y., & Mouri, K. (2020). Examining primary students’ after-class vocabulary behavioural learning patterns in user-generated learning context: a case study. In Proceeding of the 28th International Conference on Computers in Education Conference Proceedings (Vol. 1, pp. 534-539). Asia-Pacific Society for Computers in Education (APSCE).
• Song, Y., & Yang, Y. (2020). Enhancing primary students’ vocabulary learning motivation and outcomes using the mobile user-generated-content tool. CALL for widening participation: short papers from EUROCALL 2020, 320.
• Song, Y., & Yang, Y. (2019). Enhancing Hong Kong secondary students’ English grammar learning and collaborative problem-solving skills with productive failure instructional design in MCSCL environment. In Proceeding of the 27th International Conference on Computers in Education. Taiwan: Asia-Pacific Society for Computers in Education, (ICCE) 2-7 December 2019, Kenting, Taiwan, China.
• Song, Y., & Yang, Y. (2019). What “seams” have been bridged in seamless vocabulary learning?: A review of the literature. In Proceedings of the 23rd Global Chinese Conference on Computers in Education (GCCCE2019) (pp. 418-427). Central China Normal University.

• 2023. FLASS’s Outstanding Research Postgraduate Student Award of the Dean’s Research Fund 2022/23, EdUHK
• 2023. Research Postgraduate Student Publication Award in EdUHK
• 2023. Best Paper Presentation Awards on the 2nd Asia-Pacific Society for Computers in Education (APSCE) International Conference on Future Language Learning
• 2022. Research Postgraduate Student Publication Award in EdUHK
• 2022. Best Oral Presentation Awards on the 5th Pedagogy and Practice in Technology Enhanced Language Learning
• 2022. Best Paper Presentation Awards on the 1st Asia-Pacific Society for Computers in Education International Conference on Future Language Learning
• 2022. Outstanding Presentation Award in EdUHK Research Postgraduate Seminar
• 2021. Platinum Awards @ 3MT® Competition (Platinum Prize, 1st Prize), EdUHK
• 2021. Best Oral Presentation Awards on the 4th Pedagogy and Practice in Technology Enhanced Language Learning
• 2019. Best Teacher Forum Paper Award on the 23rd Global Chinese Conference on Computers in Education

• Programme Committee member of Teacher Forum (Hong Kong, China) of the 28th Global Chinese Conference on Computers in Education (GCCCE2024)
• Publicity Co-Chair of the 2nd APSCE International Conference on Future Language Learning 2023, Beijing, China.
• Programme Committee member of the International Conference on Artificial Intelligence and Education in 2023, Japan.
• Programme Committee member of Centre for Information Technology in Education Research Symposium 2023, EdUHK, Hong Kong.
• Programme Committee member of the 2nd APSCE International Conference on Future Language Learning 2023, Beijing, China.
• Conference peer-reviewed Committee member of the European Association of Computer Assisted Language Learning in 2020, Denmark.
• Member of Association for Educational Communications and Technology (AECT) (2023-present).

• Educational Technology & Society
• Journal of Computers in Education
• PLOS ONE
• Research and Practice in Technology Enhanced Learning