CRF2024
Refereces
- ABET. (2020). Criteria for accrediting engineering programs. Retrieved from https://www.abet.org/wp-content/uploads/2018/11/E001-19-20-EAC-Criteria-11-24-18.pdf
- ACCA (2020). ACCA qualifications. Retrieved from https://www.accaglobal.com/gb/en/student/getting-started/acca-qualification-structure.html
- Aryanti, C., & Adhariani, D. (2020). Students’ perceptions and expectation gap on the skills and knowledge of accounting graduates. The Journal of Asian Finance, Economics and Business, 7(9), 649-657.
- Bai, Y., Lv, X., Zhang, J., Lyu, H., Tang, J., Huang, Z., Du, Z., Liu, X., Zeng, A., Hou, L., Dong, Y., Tang, J., & Li, J. (2023). LongBench: A bilingual, multitask benchmark for long context understanding. arXiv preprint arXiv:2308.14508.
- Barnlund, D.C. (1970) A transactional model of communication. In J. Akin, A. Goldberg, G. Myers, & J. Stewart (Eds.), Language Behavior: A Book of Readings in Communication (pp.43-61). Mouton.
- Bond, M., Khosravi, H., De Laat, M., Bergdahl, N., Negrea, V., Oxley, E., Pham, P., Chong, S.W., & Siemens, G. (2024). A meta systematic review of artificial intelligence in higher education: a call for increased ethics, collaboration, and rigour. International Journal of Educational Technology in Higher Education, 21.
- Brin, D., Sorin, V., Vaid, A., Soroush, A., Glicksberg, B.S., Charney, A.W., Nadkarni, G., & Klang, E. (2023). Comparing ChatGPT and GPT-4 performance in USMLE soft skill assessments. Scientific Reports, 13, 16492. https://doi.org/10.1038/s41598-023-43436-9
- Caleon, I.S., Tan, Y.S.M., & Cho, Y.H. (2018). Does teaching experience matter? The beliefs and practices of beginning and experienced physics teachers. Research in Science Education, 48(1), 117-149.
- Caputo, A., Pizzi, S., Pellegrini, M.M., & Dabić, M. (2021). Digitalization and business models: Where are we going? A science map of the field. Journal of Business Research 123, 489-501. https://doi.org/10.1016/j.jbusres.2020.09.053
- Chan, C.K.Y. (2021a). Communication. Retrieved from https://www.have.hku.hk/communication
- Chan, C.K.Y. (2021b). Teamwork. Retrieved from https://www.have.hku.hk/teamwork
- Chan, C.K.Y. (2023). A comprehensive AI policy education framework for university teaching and learning. International Journal of Educational Technology in Higher Education, 20(1), 38.
- Chan, C.K.Y, & Colloton, T. (2024). Generative AI in Higher Education: The ChatGPT Effect. Routledge.
- Chan, C.K.Y., & Fong, E.T.Y. (2018). Disciplinary differences and implications for the development of generic skills: a study of engineering and business students’ perceptions of generic skills. European Journal of Engineering Education, 43(6), 927-949.
- Chan, C.K.Y., Fong, E.T.Y., Luk, L.Y.Y., & Ho, R. (2017). A review of literature on challenges in the development and implementation of generic competencies in higher education curriculum. International Journal of Educational Development, 57, 1-10
- Chan, C.K.Y., & Hu, W. (2023). Students’ voices on generative AI: perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20. https://doi.org/10.1186/s41239-023-00411-8
- Chan, C.K.Y., & Lee, K.K.W. (2021). Constructive alignment between generic competencies development and assessment in Hong Kong engineering education. Journal of Engineering Education. 110, 437–457
- Chan, C.K.Y. & Luk, Y.Y.L. (2021a). A four-dimensional framework for teacher assessment literacy in holistic competencies. Assessment & Evaluation in Higher Education, 47(5), 755-769.
- Chan, C.K.Y. & Luk, Y.Y.L. (2021b). Academics’ beliefs towards holistic competency development and assessment: A case study in engineering education. Studies in Educational Evaluation, 72, 101102.
- Chan, C.K.Y. & Yeung, N.C.J. (2021). To assess or not to assess holistic competencies–Student perspectives in Hong Kong. Studies in Educational Evaluation, 68, 100984.
- Chan, C.K.Y., Zhao, Y and Luk, L.Y.Y. (2017). A validated and reliable instrument investigating engineering students’ perceptions of competency in generic skills. Journal of Engineering Education, 106(2), 299-325.
- Chiu, T. K. (2023). The impact of Generative AI (GenAI) on practices, policies and research direction in education: A case of ChatGPT and Midjourney. Interactive Learning Environments. https://doi.org/10.1080/10494820.2023.2253861
- Clarke, M. (2018). Rethinking graduate employability: The role of capital, individual attributes and context. Studies in Higher Education, 43(11), 1923-1937.
- Education Bureau [EDB]. (2023). Learning Goals, School Curriculum Framework and Planning. Retrieved from https://www.edb.gov.hk/attachment/en/curriculum-development/renewal/Guides/SECG%20booklet%202_en_20230317.pdf
- Hwang, G., & Tu, Y. (2021). Roles and Research Trends of Artificial Intelligence in Mathematics Education: A Bibliometric Mapping Analysis and Systematic Review. Mathematics 9(6).
- Kim, J., & Lee, S.-S. (2022). Are Two Heads Better Than One?: The Effect of Student-AI Collaboration on Students’ Learning Task Performance. TECHTRENDS.
- Kiersch, C., & Peters, J. (2017). Leadership from the inside out: student leadership development within authentic leadership and servant leadership frameworks. Journal of Leadership education, 16(1), 148-168.
- Komives, S. R., Longerbeam, S. D., Mainella, F., Osteen, L., Owen, J. E., & Wagner, W. (2009). Leadership identity development: Challenges in applying a developmental model. Journal of Leadership Education, 8(1), 11-47.
- Littlejohn, S. W., & Jabusch D. M. (1982). Communication competence: Model and application. Journal of Applied Communication Research, 10(1), 29-37. https://doi.org/10.1080/00909888209365210.
- Lodge, J.M., de Barba, P., & Broadbent, J. (2023) Learning with Generative Artificial Intelligence Within a Network of Co-Regulation. Journal of University Teaching & Learning Practice, 20(7). https://doi.org/10.53761/1.20.7.02
- Luk, L. Y. Y., & Chan, C. K. Y. (2020). Adaptation and validation of the Work Experience Questionnaire for investigating engineering students’ internship experience. Journal of Engineering Education 109(4), 801-820.
- Malatesta, M., & Ciani, E. (2022). SkillGym AI Digital Role Play to Support Leadership Soft Skills Development Through Practice: A Case Study: Learning Outcomes of a Practice-Based Methodology to Boost People’s Self-Awareness in Managing Key Conversations. iJAC, 15(2), 41-56.
- Northouse, P. G. (2021). Leadership: Theory and practice (9th ed.). Sage Publications.
- Olsson, U., Cliff, A. & Karunaratne, T. (2019). Academic development for generic competencies for the unknown future. In Y. W. Chew, K. M. Chan, and A. Alphonso (Eds.), Personalised Learning. Diverse Goals. One Heart. ASCILITE 2019 Singapore (pp. 641-642) van Ravenswaaij, H., Bouwmeester, R. A., van der Schaaf, M. F., Dilaver, G., van Rijen, H. V., & de Kleijn, R. A. (2022, November). The generic skills learning systematic: Evaluating university students’ learning after complex problem-solving. In Frontiers in Education (Vol. 7, p. 1007361). Frontiers.
- Pikhart, M. (2020). Intelligent information processing for language education: The use of artificial intelligence in language learning apps. Procedia Computer Science, 176, 1412-1419.
- QAC HK. (2022). Audit manual. Retrieved from https://www.ugc.edu.hk/doc/eng/qac/manual/auditmanual3.pdf
- Reed, J., Alterio, B., Coblenz, H., O’Lear, T., & Metz, T. (2023). AI image-generation as a teaching strategy in nursing education. Journal of Interactive Learning Research, 34(2), 369-399.
- Rhew, N. D., Black, J. A., & Keels, J. K. (2019). Are we teaching what employers want? Identifying and remedying gaps between employer needs, accreditor prescriptions, and undergraduate curricular priorities. Industry and Higher Education, 33(6), 362-369.
- Salas, E., Shuffler, M.L., Thayer, A.L., Bedwell, W.L., & Lazzara, E.H. (2015). Understanding and improving teamwork in organizations: A scientifically based practical guide. Human Resource Management, 54(4), 599-622. https://doi.org/10.1002/hrm.21628
- Salas, E., Sims, D.E., & Burke, C.S. (2005). Is there a “Big Five” in Teamwork? Small Group Research, 36(5), 555-599. https://doi.org/10.1177/1046496405277134
- Schlott, R. (2023, April 26). Employers reveal why Gen Z is the hardest generation to work with. New York Post. Retrieved from https://nypost.com/2023/04/25/employers-reveal-why-gen-z-is-hardest-generation-to-work-with/
- Seetharaman, R. (2023). Revolutionizing Medical Education: Can ChatGPT Boost Subjective Learning and Expression? Journal of Medical Systems, 47(1).
- UNESCO-ICHEI (2023). Higher Education in the Era of Artificial Intelligence [White Paper]. UNESCO. https://n6m6d6c3.rocketcdn.me/wp-content/uploads/2024/01/UNESCO-ICHEI_White-Paper-on-Higher-Education-in-the-Era-of-Artificial-Intelligence.pdf
- Wang, A., Pruksachatkun, Y., Nangia, N., Singh, A., Michael, J., Hill, F., Levy, O., & Bowman, S. (2019). SuperGLUE: A stickier benchmark for general-purpose language understanding systems. In NIPS’ 19: Proceedings of 33rd Conference on Neural Information Processing Systems, 3266-3280.
- Zapalska, A. M., Jackson, H., & Zelmanowitz, S. (2016). Framework for Leadership Skills Development with Experiential Learning: an Example of an Undergraduate Engineering Program. International Journal of Science and Engineering Investigations, 5(10), 38-44.
- Zellers, R., Bisk, Y., Schwartz, R., & Choi, Y. (2018). SWAG: A large-scale adversarial dataset for grounded commonsense inference. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 93-104. https://doi.org/10.18653/v1/D18-1009
- Zellers, R., Holtzman, A., Bisk, Y., Farhadi, A., & Choi, Y. (2019). HellaSwag: Can a Machine Really Finish Your Sentence? Annual Meeting of the Association for Computational Linguistics. https://doi.org/10.18653/v1/P19-1472
- Zhai, X., Chu, X., Chai, C.S., Jong, M.S.Y., Istenic, A., Spector, M., Liu, J., Yuan, J., & Li, Y. (2021). A Review of Artificial Intelligence (AI) in Education from 2010 to 2020. Complexity, 2021, 1-18.
- Zhang, K., & Aslan, A. B. (2021). AI technologies for education: Recent research & future directions. Computers and Education: Artificial Intelligence, 2, 100025.