Background/purpose: This exploratory study integrates quantitative and qualitative approaches to investigate various facets of cyberlanguage usage, including its types, reasons for use, frequency in daily communication, student attitudes, and its effects on formal writing proficiency. Materials/methods: Quantitative data was collected through a…

Integrating artificial intelligence, particularly large language models (LLMs), into medical education represents a significant new step in how medical knowledge is accessed, processed, and evaluated. The objective of this study was to conduct a comprehensive analysis comparing the performance of advanced LLM chatbots in different topics of…

The effects of a computer-based reading intervention on whole word reading in three post-secondary students with intellectual and/or developmental disability were evaluated using a multiple baseline across tasks (i.e., word sets) design. Words were selected from each student's elective undergraduate social science course materials. During this…

Scientific modeling is a vital educational practice that helps students apply scientific knowledge to real-world phenomena. Despite advances in AI, challenges in accurately assessing such models persist, primarily due to the complexity of cognitive constructs and data imbalances in educational settings. This study addresses these challenges by…

Flipped learning has been recognized as a promising pedagogical model for methodological progress in educational environments. Studies have shown the effectiveness of flipped learning when used with appropriate educational technologies and learning strategies. On the other hand, comprehensive guidance is required to combine this pedagogical model…

This paper reports on a study aiming at examining whether online argumentation enhance the teacher candidates' scientific habits of mind (SHOM). The study was carried out as a pre-experimental design including pre and post-test. Scientific Habits of Mind scale, interviews and written arguments were used as data collection tools. Google Classroom,…

Online discussion based on the community of inquiry (CoI) framework has received considerable popularity due to its potential benefits for enhancing problem-solving skills and achieving deep understanding in the long term. However, it is challenging to make learners actively conduct a discussion using typical environments (e.g., asynchronous…

The assessment of student responses to learning-strategy prompts, such as self-explanation, summarization, and paraphrasing, is essential for evaluating cognitive engagement and comprehension. However, manual scoring is resource-intensive, limiting its scalability in educational settings. This study investigates the use of Large Language Models…

Designing balanced and optimized degree plans is a fundamental challenge in higher education, directly impacting student success, graduation rates, and institutional efficiency. This paper presents an innovative framework that addresses this challenge through a two-stage optimization approach. The first stage focuses on selecting a set of courses…

The assessment of student responses to learning-strategy prompts, such as self-explanation, summarization, and paraphrasing, is essential for evaluating cognitive engagement and comprehension. However, manual scoring is resource-intensive, limiting its scalability in educational settings. This study investigates the use of Large Language Models…

The growing need for automated and personalized feedback in programming education has led to recent interest in leveraging generative AI for feedback generation. However, current approaches tend to rely on prompt engineering techniques in which predefined prompts guide the AI to generate feedback. This can result in rigid and constrained responses…

The semi-direct speaking test format has limitations, particularly due to its lack of situational authenticity and contextualized input. To address this issue, virtual reality (VR) can be integrated into speaking proficiency tests to enhance authenticity. In this study, a newly designed VR speaking test was administered, and test-takers'…

This study examined an intervention package incorporating an iPad-based augmentative and alternative communication (AAC) application, Proloquo2Go, to improve wh-question-answering skills in a 15-year-old adolescent with autism. A single-case, multiple baseline design across three types of wh-questions ("what," "where," and…

Based on the advantages of virtual reality technology, this paper analyzes the current situation of ideological and political education in colleges and universities, and points out the existing problems and shortcomings. On this basis, the course of ideological and political education for college students based on virtual reality technology is…

The current study meta-analyzed 17 effects from 12 studies to examine the effect of technology-based mathematical fact practice on mathematics outcomes, and how comparison intervention, risk for mathematics disabilities, and type of measure modified the results. There was a moderate effect of technology-based mathematical fact practice on…