Multiple choice questions are traditionally expensive to produce. Recent advances in large language models (LLMs) have led to fine-tuned LLMs that generate questions competitive with human-authored questions. However, the relative capabilities of ChatGPT-family models have not yet been established for this task. We present a carefully-controlled…

Schrenzinger and Wettstein (2019) define classroom management as the actions a teacher takes to develop a classroom atmosphere where students feel supported, and the teacher facilitates academic success and social-emotional learning. The problem addressed in this research is classroom management in secondary public-school settings continues to be…

The ability to predict spatial elements based on two-dimensional figures, evaluate engineering elements, identify expected deformations, and predict possible failure mechanisms are critical for engineers. However, in applied mechanics courses, many undergraduate engineering students struggle with applying these skills to engineering problems.…

This paper describes the results of an archival desk-study that analyzed worksheets produced by four students using ChatGPT as a coach. ChatGPT is a Generative Pre-Trained Large Language model that can write comprehensively in various languages and styles. It was discovered that it could pass university level physics exams and perform at the level…

Teacher rating scales (TRS) are often used to make service eligibility decisions for exceptional learners. Although TRS are regularly used to identify student exceptionalism either as part of an informal nomination process or through behavioral rating scales, there is little research documenting the between-teacher variance in teacher ratings or…

The chapter explores the possibilities related to using ChapGPT in tax education. Specifically, we address how tax has historically been taught in higher education and how the use of new and developing artificial intelligence (AI) tools such as ChatGPT can enhance this process going forward. The key takeaway is that AI tools are just that --…

This study investigates the perceptions of STEM teachers regarding the integration of generative artificial intelligence (AI) applications into classroom settings, using the extended Technology Acceptance Model (TAM) as the framework. The study examines self-efficacy, anxiety, perceived ease of use, expected benefits, attitudes, and behavioral…

Artificial Intelligence (AI) literacy is essential for society as a whole. While general frameworks and resources to support self-directed learning on AI are widely available, research on how to support AI educators, particularly those without AI expertise (non-experts), using external materials and resources is relatively scarce. This article…

Parental involvement is essential to children's learning engagement activities and academic performance. Much research revolves around the impact of parental involvement on students' academic performance or the relationship between student engagement and grades. However, few studies have used process data to examine the relationship between…

The purpose of this study is to investigate the effect of metaverse technology on multicultural learning to strengthen the social attitudes, cultural awareness and critical thinking skills of secondary school students. Methodology: A quasi-experimental research method was used in this study to equally divide 80 secondary school students in the…

This study introduces a novel Connectivist model for professional development (PD) aimed at enhancing AI literacy among bilingual/ESL teachers in K-12 education. As AI technologies rapidly reshape educational landscapes, effective PD programs are essential to equip educators with the skills to integrate AI responsibly and equitably. Grounded in…

Adaptive learning supports online instruction by offering feedback to students using machine learning. In a funded study, adaptive learning was used in a flipped STEM course at three universities for pre-class preparation. We conducted a comparative analysis with and without adaptive learning. The assessments were a final exam and concept…

This study analyzed the impact of AI teaching on teaching quality, and revealed the mediating effect of student motivation and teacher expertise in the relationship of AI teaching and teaching quality. Based on the AI-TPACK theory, this study explored the impact of AI teaching on teaching quality and its mediating mechanism using questionnaires…

Background: With the arrival of generative artificial intelligence (genAI) tools, psychology educators are rethinking their assessment practices. Objective: This paper describes one approach to integrating genAI into an assessment designed to promote psychological literacy. Method: Students used ChatGPT to generate a media release about a…

Background: Generative Artificial Intelligence (AI) shows promise in enhancing personalised learning and improving educational efficiency. However, its integration into education raises concerns about misinformation and over-reliance, particularly among adolescents. Teacher supervision plays a critical role in mitigating these risks and ensuring…