Jac Ka Lok Leung
Biographic Data
| ID | 9255983 |
|---|---|
| NAME | Jac Ka Lok Leung |
| GIVEN NAMES | Jac Ka Lok |
| FAMILY NAME | Leung |
| SIGNATURE | LEUNG J K L |
| AFFILIATIONS | Hong Kong University of Science and Technology |
| ORCID | 0000-0001-6490-7005 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
A Primer for Design and Systems Thinkers: A First-Year Engineering Course for Mindset Development
Teaching students to think in complex systems and design is presumably intricate, creative, and nonlinear. However, due to the overwhelming number of standardized tools and frameworks, the process sometimes ends up being procedural and deductive. Conformity to rigid procedures loses the intention of creative problem-solving towards tackling wicked problems. This paper proposes a project-based approach to instill the mindsets for those who aspire …
Artificial intelligence (AI) literacy education in secondary schools: A review
Artificial intelligence (AI) literacy has emerged to equip students with digital skills for effective evaluation, communication, collaboration, and ethical use of AI in online, home, and workplace settings. Countries are increasingly developing AI curricula to support students' technological skills for future studies and careers. However, there is a lack of reviews summarizing AI education in secondary schools. This study aims to provide an up-to…
The applications of the ARCS model in instructional design, theoretical framework, and measurement tool: A systematic review of empirical studies
Fostering students' AI literacy development through educational games: AI knowledge, affective and cognitive engagement
Design and validation of the AI literacy questionnaire: The affective, behavioural, cognitive and ethical approach
Artificial intelligence (AI) literacy is at the top of the agenda for education today in developing learners' AI knowledge, skills, attitudes and values in the 21st century. However, there are few validated research instruments for educators to examine how secondary students develop and perceive their learning outcomes. After reviewing the literature on AI literacy questionnaires, we categorized the identified competencies in four dimensions: (1)…
Empowering student self‐regulated learning and science education through ChatGPT: A pioneering pilot study
In recent years, AI technologies have been developed to promote students' self‐regulated learning (SRL) and proactive learning in digital learning environments. This paper discusses a comparative study between generative AI‐based (SRLbot) and rule‐based AI chatbots (Nemobot) in a 3‐week science learning experience with 74 Secondary 4 students in Hong Kong. The experimental group used SRLbot to maintain a regular study habit and facilitate their S…
Teachers’ AI digital competencies and twenty-first century skills in the post-pandemic world
Developing a Framework for Blended Design-Based Learning in a First-Year Multidisciplinary Design Course
Contribution: While design project courses offer first-year students a practical introduction to engineering, a portion of class time is usually spent on lecturing foundational knowledge instead of practicing engineering design. This article presents a blended design-based learning (bDBL) approach that makes class time more efficient and explores the changes in students’ design competencies and intrinsic motivations. Background: Current approache…
AI Literacy: Definition, Teaching, Evaluation and Ethical Issues
Artificial Intelligence (AI) is at the top of the agenda for education leaders today in educating the next generation across the globe. However, public understanding of AI technologies and how to define AI literacy is under‐explored. This vision poses upcoming challenges for our next generation to learn about AI. On this note, an exploratory review was conducted to conceptualize the newly emerging concept “AI literacy”, in search for a sound theo…
Conceptualizing AI literacy: An exploratory review
Artificial Intelligence (AI) has spread across industries (e.g., business, science, art, education) to enhance user experience, improve work efficiency, and create many future job opportunities. However, public understanding of AI technologies and how to define AI literacy is under-explored. This vision poses upcoming challenges for our next generation to learn about AI. On this note, an exploratory review was conducted to conceptualize the newly…
No prominent works on this page.
AI Literacy: Definition, Teaching, Evaluation and Ethical Issues
Artificial Intelligence (AI) is at the top of the agenda for education leaders today in educating the next generation across the globe. However, public understanding of AI technologies and how to define AI literacy is under‐explored. This vision poses upcoming challenges for our next generation to learn about AI. On this note, an exploratory review was conducted to conceptualize the newly emerging concept “AI literacy”, in search for a sound theo…
Conceptualizing AI literacy: An exploratory review
Artificial Intelligence (AI) has spread across industries (e.g., business, science, art, education) to enhance user experience, improve work efficiency, and create many future job opportunities. However, public understanding of AI technologies and how to define AI literacy is under-explored. This vision poses upcoming challenges for our next generation to learn about AI. On this note, an exploratory review was conducted to conceptualize the newly…
Developing a Framework for Blended Design-Based Learning in a First-Year Multidisciplinary Design Course
Contribution: While design project courses offer first-year students a practical introduction to engineering, a portion of class time is usually spent on lecturing foundational knowledge instead of practicing engineering design. This article presents a blended design-based learning (bDBL) approach that makes class time more efficient and explores the changes in students’ design competencies and intrinsic motivations. Background: Current approache…
Teachers’ AI digital competencies and twenty-first century skills in the post-pandemic world
A Primer for Design and Systems Thinkers: A First-Year Engineering Course for Mindset Development
Teaching students to think in complex systems and design is presumably intricate, creative, and nonlinear. However, due to the overwhelming number of standardized tools and frameworks, the process sometimes ends up being procedural and deductive. Conformity to rigid procedures loses the intention of creative problem-solving towards tackling wicked problems. This paper proposes a project-based approach to instill the mindsets for those who aspire …
Artificial intelligence (AI) literacy education in secondary schools: A review
Artificial intelligence (AI) literacy has emerged to equip students with digital skills for effective evaluation, communication, collaboration, and ethical use of AI in online, home, and workplace settings. Countries are increasingly developing AI curricula to support students' technological skills for future studies and careers. However, there is a lack of reviews summarizing AI education in secondary schools. This study aims to provide an up-to…
The applications of the ARCS model in instructional design, theoretical framework, and measurement tool: A systematic review of empirical studies
Fostering students' AI literacy development through educational games: AI knowledge, affective and cognitive engagement
Design and validation of the AI literacy questionnaire: The affective, behavioural, cognitive and ethical approach
Artificial intelligence (AI) literacy is at the top of the agenda for education today in developing learners' AI knowledge, skills, attitudes and values in the 21st century. However, there are few validated research instruments for educators to examine how secondary students develop and perceive their learning outcomes. After reviewing the literature on AI literacy questionnaires, we categorized the identified competencies in four dimensions: (1)…
Empowering student self‐regulated learning and science education through ChatGPT: A pioneering pilot study
In recent years, AI technologies have been developed to promote students' self‐regulated learning (SRL) and proactive learning in digital learning environments. This paper discusses a comparative study between generative AI‐based (SRLbot) and rule‐based AI chatbots (Nemobot) in a 3‐week science learning experience with 74 Secondary 4 students in Hong Kong. The experimental group used SRLbot to maintain a regular study habit and facilitate their S…
Psychology (8 works) · Computer Science (7 works) · Mathematics education (7 works) · Online Learning and Analytics (7 works) · Literacy (5 works) · Pedagogy (5 works) · Engineering (4 works) · Engineering ethics (3 works) · Ethics and Social Impacts of AI (3 works) · Sociology (3 works)