Ching Sing Chai
YOU?
Author Swipe
Promoting pre-service music teachers’ TPACK with generative AI: an intervention through designing with AI Open
Generative artificial intelligence (GenAI) presents transformative opportunities for education, yet its integration into music teacher preparation remains underdeveloped. Two critical gaps exist: (1) scant empirical studies on how pre-serv…
Assessing structural relationships in pre-service preschool teachers’ perceived AI readiness: Do emotional and psychological aspects matter? Open
Preschool pre-service teachers need to be prepared for the age of artificial intelligence (AI) as part of the teaching force; however, much research is still needed in this area. This study aimed to explore the structural relationships in …
View article: A phenomenographic approach to students’ conceptions of learning artificial intelligence (AI) in secondary schools
A phenomenographic approach to students’ conceptions of learning artificial intelligence (AI) in secondary schools Open
AI education for K-12 students is an emerging necessity, and considering students’ perspectives when developing effective AI education curricula in K-12 settings is essential. Few studies investigated secondary students’ conceptions of lea…
Undergraduate engineering students’ epistemic cognition and changes in the course of being engineering design mentors Open
Background To become qualified engineers, undergraduates must develop a contextualized epistemic cognition (EC) during the engineering design process (EDP), but little is known about their EC in the authentic EDP. This study aimed to gain …
Influence of polyethylene microplastics on carbendazim degradation by Rhodococcus sp. XY-1: Molecular mechanisms and soil bioremediation effects Open
Carbendazim persists in soil, causing harm to the environment. Microbial degradation is a main way to remove carbendazim from soil, and polyethylene (PE), as a kind of microplastics, widely exists in soil. However, the mechanism by which P…
View article: Analyzing the network structure of students’ motivation to learn AI: a self-determination theory perspective
Analyzing the network structure of students’ motivation to learn AI: a self-determination theory perspective Open
Motivation is a key driver of learning. Prior work on motivation has mostly focused on conventional learning contexts that did not necessarily involve AI. Hence, little is known about students’ motivation to learn AI. This study examined t…
View article: Enhancing STEM outcomes through mentorship (Mis)matching: an identity grafting approach
Enhancing STEM outcomes through mentorship (Mis)matching: an identity grafting approach Open
Background As mentorship programs variably impact STEM identity formation, significant attention is paid to whether mentors and mentees are well-matched. Mentorship-matching studies focus on the salient ethnic and gender influences on the …
Strengthening Human Epistemic Agency in the Symbiotic Learning Partnership With Generative Artificial Intelligence Open
This conceptual article explores shared epistemic agency between humans and generative artificial intelligence (GenAI), emphasizing the need to foster active human epistemic agency through adaptive epistemic stances. We propose a framework…
Needs satisfaction and Online Self-Regulated Learning among chinese undergraduates Open
The increasing popularity of online courses has highlighted the importance of online self-regulated learning (OSRL). However, its use among undergraduates remains challenging. Based on self-determination theory, this study examined whether…
View article: Assessment of AI ethical reflection: the development and validation of the AI ethical reflection scale (AIERS) for university students
Assessment of AI ethical reflection: the development and validation of the AI ethical reflection scale (AIERS) for university students Open
This study developed and validated the AI Ethical Reflection Scale (AIERS), a tool for measuring university students’ ethical reflection on AI in three dimensions: AI ethical awareness, AI critical evaluation, and AI for social good. This …
View article: Higher education students’ perceptions of ChatGPT: A global study of early reactions
Higher education students’ perceptions of ChatGPT: A global study of early reactions Open
The paper presents the most comprehensive and large-scale global study to date on how higher education students perceived the use of ChatGPT in early 2024. With a sample of 23,218 students from 109 countries and territories, the study reve…
Development and validation of the perceived interactivity of learner-AI interaction scale Open
As learners are able to perceive interactivity when interacting with instructors or peer learners in traditional learning environments, learners are similarly able to perceive interactivity when interacting with artificial intelligence (AI…
View article: Developing and validating measures for AI literacy tests: From self-reported to objective measures
Developing and validating measures for AI literacy tests: From self-reported to objective measures Open
The majority of AI literacy studies have designed and developed self-reported questionnaires to assess AI learning and understanding. These studies assessed students' perceived AI capability rather than AI literacy because self-perceptions…
Automated versus peer assessment: Effects of learners' English public speaking Open
This quasi-experimental research investigates the employment of a formative assessment platform aided by artificial intelligence in an English public speaking course. The platform integrates deep learning, automatic speech recognition, and…
Development and Validation of the Artificial Intelligence Learning Intention Scale (AILIS) for University Students Open
As artificial intelligence (AI) permeates almost all aspects of our lives, university students need to acquire relevant knowledge, skills, and attitudes to adapt to the challenges it poses. This study reports the development and validation…
View article: Learning by design: Enhancing online collaboration in developing pre‐service TESOL teachers' TPACK for teaching with corpus technology
Learning by design: Enhancing online collaboration in developing pre‐service TESOL teachers' TPACK for teaching with corpus technology Open
In this study, we integrated corpus technology in pre‐service TESOL (Teaching English to Speakers of Other Languages) teachers' technological pedagogical content knowledge (TPACK) development in corpus technology, termed corpus‐based langu…
Promoting STEM learning perseverance through recognizing communal goals: understanding the impact of empathy and citizenship Open
Background Previous research has indicated that placing emphasis on communal goals within the field of science, technology, engineering, and mathematics (STEM) education can yield beneficial learning outcomes. However, there remains a rela…
Promoting STEM Interest through Empathy and Creative Thinking in a STEM-based Community Service Program Open
Students’ interest in science, technology, engineering, and mathematics (STEM) tends to decline as they reach high school. Among the factors to which this decline is attributed are the perceptions about the lack of communality and creativi…
Actualization of teaching conceptions in lesson design: how teaching conceptions shape TPACK regarding spherical video-based virtual reality-supported writing instruction Open
The effective application of spherical video-based virtual reality (SVVR) in writing education depends on teachers’ lesson design, which is deeply influenced by their technological pedagogical and content knowledge (TPACK). However, how te…
University students’ intentions to learn artificial intelligence: the roles of supportive environments and expectancy–value beliefs Open
Despite the importance of artificial intelligence (AI) for university students to thrive in the future workplace, few studies have been conducted to assess and foster their intentions to learn AI. Guided by the situated expectancy–value th…
Overcoming adversity: exploring the key predictors of academic resilience in science Open
Resilient students attain high levels of academic achievement despite the presence of chronic socioeconomic disadvantage. Identifying factors that promote resilience in the domain of science is crucial to making equitable and high-quality …