國際學者介紹

International Keynote Speaker

Prof. Oi-man Kwok

美國德州農工大學教育心理學系教授

Professor, Department of Educational Psychology, School of Education & Human Development/ TEXAS A&M UNIVERSITY

講者專業領域：教育心理學系、教育測量和統計、多層次模型和結構方程模型 (Educational Psychology, Education Measurement and Statistics, Multilevel models and Structural equation models)

演講主題：

Evaluating Effective Teaching through Longitudinal Designs and Analyses:
What Do We Gain From Using Structural Equation Modeling (SEM)

演講摘要 Abstract

Evaluating teaching effectiveness remains a critical concern in educational research. Longitudinal designs offer a valuable approach, providing insights into changes in mean patterns and variations within and between individuals (e.g., students or teachers) over time, beyond what cross-sectional designs can offer. In this presentation, I will start with the basic pretest-posttest design and demonstrate the application of structural equation modeling (SEM) for analysis. I will then progress to more complex longitudinal data that incorporate multiple (>3) occasions and sets of variables, and utilize various SEM approaches including the panel model, latent growth model, and the extensions to analyze the data. Practical recommendations will be offered to the audience, enhancing understanding and application of SEM in educational assessment, especially in teaching effectiveness.

Prof. Ching-sing Chai

香港中文大學課程與教學學系教授暨教育學院副院長

Professor, Department of Curriculum and Instruction

Associate Dean (Postgraduate Studies), Faculty of Education, The Chinese University of Hong Kong

講者專業領域：教師教育、技術教學內容知識、教師信仰、教育資訊與通訊技術 (Teacher education, Technological Pedagogical Content Knowledge, Teacher beliefs, ICT in Education)

演講主題：

Effective teaching in the Age of Artificial Intelligence

演講摘要 Abstract

The notion of "Effective teaching" has dominated current education research and school reforms. However, effectiveness needs to be defined with reference to purpose of actions. Contextualizing effectiveness in the age of AI is a challenging but inevitable task that confronts current educators. This talk attempts to reflect how effective teaching was conceived in the recent past and discuss the dimensions educators need to account for in re-envisioning effective teaching. It analyses emerging designs of AI supported learning as cases to unpack the underlying notion of effectiveness, as a means to initiate some communicative actions.

Prof. Jang-wan, Ko

南韓成均館大學教育學院教授暨院長
/教育研究生院院長
Professor and Dean of the College of Education and Dean of the Graduate School of Education at Sungkyunkwan University(SKKU), Korea

講者專業領域：高等教育政策、教師教育、比較和國際教育、機構有效性、學生學習成效 (Higher education policy, Teacher education, Comparative and international education, Institutional effectiveness, Student learning outcomes)

演講主題：
Effective teaching with digital technology in Korean universities

演講摘要 Abstract

The recent digital transformation has led to a significant increase in the use of digital technologies in higher education institutions. A prime example of this is the integration of generative AI, such as ChatGPT, into teaching and learning. This study will examine the current status of generative AI education implementation in Korean universities. Using the case of SKKU, this study will introduce teaching methods utilizing generative AI, explore students' reactions, and provide educational implications for the use of generative AI in university education.

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