Humanities education in Singapore at the secondary level emphasises the inquiry-based learning pedagogical approach to engage students, inculcate critical thinking skills, and achieve the necessary knowledge and skills outcomes stipulated by the national curriculum. Inquiry-based learning is structured by a Humanities inquiry cycle involving four…

In recent years, various strategies have been employed to integrate ChatGPT into the field of second language (L2) teaching and learning. In line with such efforts, this study investigates the potential of ChatGPT as an automated writing evaluation (AWE) tool for L2 assessment, given the lack of systematic and quantitative investigation into human…

This study introduces a Comprehensive Scientific Creativity Assessment (C-SCA) instrument and empirically tests its reliability and validity. While existing instruments to measure scientific creativity generally focus on a single dimension, such as divergent thinking, the C-SCA incorporates scientific knowledge, motivation in scientific creativity…

Understanding a student's problem-solving strategy can have a significant impact on effective math learning using Intelligent Tutoring Systems (ITSs) and Adaptive Instructional Systems (AISs). For instance, the ITS/AIS can better personalize itself to correct specific misconceptions that are indicated by incorrect strategies, specific problems can…

Artificial intelligence (AI) education for K-12 students is an emerging necessity, owing to the rapid advancement and deployment of AI technologies. It is essential to take teachers' perspectives into account when creating ecologically valid AI education programmes for K-12 settings. However, very few studies investigated teacher perception of AI…

For decades, AI applications in education (AIEd) have shown how AI can contribute to education. However, a challenge remains: how AIEd, guided by educational knowledge, can be made to meet specific needs in education, specifically in supporting learners' autonomous learning. To address this challenge, we demonstrate the process of developing an…

Background: In the midst of digital transformation, schools are transforming their classrooms as they prepare students for a world increasingly automated by new technologies, including artificial intelligence (AI). During curricular implementation, it has not made sense to teachers to teach AI as a stand-alone subject as it is not a traditional…

Contributing to a growing body of research on broadening participation in computing for historically underrepresented racial communities (e.g., Black and Latinx), this qualitative study describes the knowledge (content and sources) six antiracist Computer Science (CS) teachers have about examples (and counterexamples) of modern techno-racism, a…

This paper systematically explores how Large Language Models (LLMs) generate explanations of code examples of the type used in intro-to-programming courses. As we show, the nature of code explanations generated by LLMs varies considerably based on the wording of the prompt, the target code examples being explained, the programming language, the…

Due to the difficulties of speech signal processing, there is still a considerable gap between the ability of machines to correctly process and that of human beings. In order to overcome the defects of isolated learning and noise sensitivity of SOM, this paper proposes a new time self-organization model (TSOM) from the perspective of deep…

Self-directed learning and self-assessment require student responsibility over learning needs, goals, processes, and outcomes. However, this student-led learning can be challenging to achieve in a classroom limited by a one-to-many teacher-led instruction. We, thus, have designed and prototyped a generative artificial intelligence chatbot…

Speaking with an artificial counterpart in simulated environments has been shown beneficial for foreign language learning. Still, few studies have explored how it is experienced by younger students. We report on a study of Swedish students (N = 22) speaking English with embodied conversational agents (ECAs) in everyday-life scenarios. Data were…

This study combines link grammar (LG) detector with N-grammar model to analyze and evaluate grammar in compositions. And then the composition level is judged through information entropy. Finally, the composition score is calculated based on the overall composition level and grammar weight. The experimental results show that the combined weight of…

This study explores the integration of Artificial Intelligence (AI) in high school education, focusing on its implications for student motivation and learning through the framework of Self-Determination Theory. As AI technologies like ChatGPT4 become more prevalent in educational settings, their potential to enhance learning by catering to…

This study examines the impact of Generative Artificial Intelligence (GAI) on teacher workload, burnout, and well-being at a large K-12 independent school in Hawaii. The research focused on teachers identified as innovators and early adopters to understand their experiences with GAI. A qualitative, phenomenological design was employed, using…