The study investigates the potential of anxiety clusters in predicting programming performance in two distinct coding environments. Participants comprised 83 second-year programming students who were randomly assigned to either a block-based or a text-based group. Anxiety-induced behaviors were assessed using physiological measures (Apple Watch…

This study seeks to deepen the understanding of the direct and indirect effects of human-computer dialogic interaction programming activities, facilitated by ChatGPT, on student engagement. Data were collected from 109 Chinese high school students who engaged in programming tasks using either ChatGPT-driven dialogic interaction or traditional pair…

This study uses a quasi-experimental design to explore the role of natural language processing (NLP) and speech recognition technologies in supporting teacher interventions during collaborative STEM activities. The Speech Recognition Keywords Analysis System (SRKAS) was developed to extract keywords from student discussions, enabling real-time…

In the post-pandemic era, distance education and training modes without space constraints are gradually becoming a new trend in training. Game-based training combined with situational simulations is a potential approach. This study used a simulation company scenario and a decision-making analysis task of promotion assessment as the game context,…

Technologies like ChatGPT and other AI tools have impacted learning by giving students more chances to ask questions and explore knowledge. The inclusion of Non-Player Characters (NPCs) as scaffolding in game-based situated learning activities can have a positive impact on learning. The application of ChatGPT to role-playing has potential;…

Virtual-reality business simulation games (VRBSGs) have garnered attention in management education. However, investigating the design of efficient VRBSGs from an integrated perspective of social cognitive, self-determination, and cognitive load theories is crucial but under-addressed. Therefore, this study developed a VRBSG learning system to…

In line with the attention-to-affect model, this study employed a game that encompasses Gestalt perception to explore how extraneous cognitive load (ECL) and gameplay anxiety correlate with attitude towards exploitative learning and attitude towards explorative learning as students play the Visual-Saliency game (VSG) with images of artworks. The…

Pattern recognition is an important skill in computational thinking. In this study, an equation puzzle game was developed by combining pattern recognition with algebraic reasoning, and scaffolding was designed to support learners' learning. Sixty participants were enrolled in this study, divided into a control group and an experimental group to…

This study proposed plugged and unplugged approaches for young students to simultaneously improve their interdisciplinary learning performance in English and Computational Thinking (CT). The plugged approach involved adopting educational robots to enhance CT and to provide English vocabulary and sentence practice via a board game. The unplugged…

The COVID-19 Pandemic has led to social isolation; however, with the help of technology, education can continue through this tough time. Therefore, this research attempts to explore the Unified Theory of Acceptance and Use of Technology (UTAUT) through the expansion of the model. Also, make it relevant to investigate the influence of social…

This paper examines a method which can be used by instructors pursuing innovative methods for language teaching, which expands learners' motivation in second language learning. Computational thinking (CT) is a problem-solving skill which can motivate students' English language learning. Designing a learning activity which integrates CT into…