Siu-Cheung Kong

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Emerging research underscores the growing importance of artificial intelligence (AI) literacy for administrative staff as AI technologies continue to reshape the labor market. However, there remains a limited study about the curriculum components of AI literacy for administrative staff. This study aims to bridge this gap by designing and evaluating a professional development programme for administrative staff grounded in a four-dimensional AI literacy framework. A total of 62 administrative staff from diverse professional backgrounds participated in a 30-h course on understanding Generative Artificial Intelligence (GenAI) and its applications. Pre- and post-course conceptual tests and...

Enhancing AI literacy course satisfaction through empowerment in AI problem-solving and ethical awareness: Development and validation of an AI project-based learning scale

Jinyu Zhu, Siu-Cheung Kong (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The use of the project-based learning (PBL) approach in developing AI literacy is widely adopted. However, student satisfaction with AI literacy courses has not been thoroughly explored. This study addresses this gap by examining the associations between students’ perceived PBL, empowerment in using AI for problem-solving, AI ethical awareness, and satisfaction with AI literacy courses. A total of 1,027 secondary and university students from 102 secondary schools and a university in Hong Kong participated in an AI literacy course, among whom 446 provided complete data for the structural equation modelling (SEM) analysis. We developed a context-grounded scale to measure students’ perceptions...

Evaluation of an artificial intelligence literacy course for university students with diverse study backgrounds

Siu-Cheung Kong, William Man-Yin Cheung, Guo Zhang (2021)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

A few limited efforts have been made to promote artificial intelligence (AI) literacy for citizens. The objective of this study was to design, implement and evaluate an AI literacy course for university students. One of the study's research questions was whether university students from a variety of disciplines could develop a conceptual understanding of AI through a literacy course. We promoted this course to 4000 students and recruited 120 volunteer participants to attend and complete the 7-h course. The results of our pre-course and post-course surveys indicated that the participants made significant progress in understanding AI concepts, felt empowered to work with AI. These findings...

Developing and validating an artificial intelligence ethical awareness scale for secondary and university students: Cultivating ethical awareness through problem-solving with artificial intelligence tools

Siu-Cheung Kong, Jinyu Zhu (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Although there is growing attention to artificial intelligence (AI) ethics education with the rapid surge of AI technology, little research has explored the use of problem-solving to cultivate students' AI ethical awareness. To address this gap, this study developed a scale to multidimensionally measure AI ethical awareness and cultivated students' AI ethical awareness through problem-solving using AI tools within an AI literacy course. A total of 573 Hong Kong secondary and university students participated in a 14-h course. Data was collected through the AI Ethical Awareness Scale (AIEAS) questionnaire and students' self-reflective writings. The AIEAS framework, encompassing three...

Fostering machine learning literacy in senior primary education: Evaluating a structured pedagogical course design

Siu-Cheung Kong, Qiaoyi Wang (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Current K–12 artificial intelligence (AI) literacy education emphasizes tool usage over fundamental concepts, yet AI literacy requires grasping how and why AI works – critical for an AI-driven society. This highlights the need for machine learning (ML) education for young learners. We designed and evaluated a six-to 8-h ML course for 752 senior primary students (average age 11.36) across seven Hong Kong primary schools. Pre- and post-test results showed significant improvement in ML understanding, with a Wilcoxon effect size of 0.55. Students comprehended supervised learning and reinforcement learning, including algorithms such as k-nearest neighbours and artificial neural networks, via...

Developing an artificial intelligence literacy framework: Evaluation of a literacy course for senior secondary students using a project-based learning approach

Siu-Cheung Kong, Man-Yin William Cheung, Olson Tsang (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The advent of artificial intelligence (AI) in the workplace is pressuring employees to learn how to harness this technology. The goal of promoting AI literacy is to equip educated citizens with the readiness to apply AI. The aim of this study is to provide evidence to guide the development of an AI Literacy Framework to prepare educated citizens to participate in future society. We report on a 14-h AI literacy course for senior secondary students, emphasising problem-solving competence development and adopting the project-based learning approach. One hundred and twenty-eight students completed the course, and a mixed-methods analysis was conducted to evaluate the results. A post-course test...

Predictive capability of foundational concepts tests for problem-solving using machine learning concepts: Evaluating project-based learning courses in artificial intelligence literacy education

Siu-Cheung Kong, Chunyu Hou (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

In the artificial intelligence (AI) era, secondary and university students should be able to apply AI for problem-solving. This study designed and evaluated an AI literacy programme to enhance understanding of machine learning concepts. It also examined how the conceptual understanding from two foundational courses (Courses 1 and 2) affected students' application of these concepts in the subsequent two project-based learning courses (Courses 3 and 4). The regression analysis of data from 566, 566, 470, and 196 student participants enrolled on Courses 1, 2, 3, and 4, respectively, revealed that the post-course concept tests for Courses 1 and 2 accounted for 19.9 % of the variance in the...

Examining teachers’ behavioural intention of using generative artificial intelligence tools for teaching and learning based on the extended technology acceptance model

Siu-Cheung Kong, Yin Yang, Chunyu Hou (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The rapid development of generative artificial intelligence (GenAI) tools has given rise to a growing discussion of the potential challenges and benefits that the use of these technologies may present in the field of education. This study examines the acceptance of the use of GenAI tools for teaching and learning among primary and secondary school teachers in Hong Kong. It uses an extension of the technology acceptance model (TAM) with a modified framework that incorporates two key factors: self-efficacy and subjective norm. Data were collected from a sample of 367 primary and secondary school teachers in Hong Kong using questionnaires containing items for six constructs: self-efficacy,...

Exploring the relationship between empowerment in using artificial intelligence for problem-solving and artificial intelligence ethical awareness: Multi-group structural equation modelling

Siu-Cheung Kong, Jinyu Zhu (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

While increasing attention has been given to cultivating students' artificial intelligence (AI) ethical awareness, the factors that contribute to its development remain underexplored. Psychological empowerment is a crucial motivational factor influencing students' intentions to incorporate ethical norms in developing AI-based solutions. Hence, this study filled this up by exploring the relationship between empowerment in using AI for problem-solving and AI ethical awareness. Empowerment in using AI for problem-solving in this study comprised three components: impact, self-efficacy and meaningfulness. Data was collected from 681 students from secondary schools and a university in Hong Kong....

Developing and validating a scale of empowerment in using artificial intelligence for problem-solving for senior secondary and university students

Siu-Cheung Kong, Jinyu Zhu, Yin Nicole Yang (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Empowerment enables students to be psychologically and affectively ready to leverage the benefits of artificial intelligence (AI). However, a theory-driven scale to extend empowerment into the use of AI for problem-solving is lacking. This study developed and validated an 11-item scale of empowerment in using AI for problem-solving (EUAIPS) based on a proposed conceptual framework that synthesises empowerment and AI-related literature. The EUAIPS scale encompasses impact, self-efficacy, and meaningfulness in using AI for problem-solving. We collected data from a diverse sample of Hong Kong senior secondary and university students before (N = 477) and after the course (N = 409). Results...