Learning path generation involves the computation of learning trajectories to personalize academic instruction to prevent school problems. The Educational Planning Problem (EPP) considers generating personalized learning paths by scheduling activities that satisfy expected grades while minimizing plans makespan. In this work, we propose two…

Conducting high-quality overviews of reviews (OoR) is time-consuming. Because the quality of systematic reviews (SRs) varies, it is necessary to critically appraise SRs when conducting an OoR. A well-established appraisal tool is A Measurement Tool to Assess Systematic Reviews (AMSTAR) 2, which takes about 15-32 min per application. To save time,…

This article focuses on the methodological experiences that emerged from a study investigating how teachers valued their daily encounters with children in early childhood education. Early childhood teachers often balance the demands of documentation with time spent with children, so have little time to reflect on their practice. Furthermore,…

This paper introduces generative AI for the graphic design of student presentation aids in a university public-speaking classroom. Students learn to use generative AI as an efficient enhancement to the creative process while preserving the integrity of the content. Students' slide presentations show improvement resulting from the activity, and…

Educators and researchers have analyzed various image data acquired from teaching and learning, such as images of learning materials, classroom dynamics, students' drawings, etc. However, this approach is labour-intensive and time-consuming, limiting its scalability and efficiency. The recent development in the Visual Question Answering (VQA)…

Providing timely and personalized feedback on open-ended student responses is a challenge in education due to the increased workloads and time constraints educators face. While existing research has explored how learning analytic approaches can support feedback provision, previous studies have not sufficiently investigated educators' perspectives…

We analyze the thesis that a fully immersive gamified learning platform benefits students, improving their enjoyment, time management, and performance by engaging them with the subject matter. We assert that an immersive experience centered around a true game produces better results than exercises with just a few gamified elements (e.g., points,…

As AI continues to transform educational practices, understanding its potential benefits, limitations, and ethical implications is critical. This study explores future educators' perceptions of generative ?? in higher education. Through a mixed-methods approach, this research gathered insights from undergraduate and master's level students on…

As generative AI tools like ChatGPT become increasingly integrated into academic settings, understanding students' perspectives is critical--particularly in underrepresented regions such as Lebanon and Palestine. A mixed-methods approach using survey data and thematic analysis of in-depth interviews was employed to analyze students' perceived…

The aim of this study is to examine the intercultural sensitivity levels of teacher candidates using CART analysis and to develop a predictive model using machine learning algorithms. Additionally, this study provides a framework for understanding the relationship between internet usage and intercultural sensitivity. The participants comprised 416…

To address disparity issues in STEM fields, this study implemented a culturally relevant, hands-on learning program tailored for African American high school students from low-income areas in America's Deep South. The program included a one-month summer academy followed by a four-month collaborative app design project using MIT App Inventor. A…

Research has suggested that changing one's answer on multiple-choice examinations is more likely to lead to positive academic outcomes. This study aimed to further understand the relationship between changing answer selections and item attributes, student performance, and time within a population of 158 first-year medical students enrolled in a…

This study explores the use of Large Language Models (LLMs), specifically GPT-4, in analysing classroom dialogue--a key task for teaching diagnosis and quality improvement. Traditional qualitative methods are both knowledge- and labour-intensive. This research investigates the potential of LLMs to streamline and enhance this process. Using…

Increasingly higher demands are being made on the capacity-limited cognitive capabilities of human operators as they strive to maintain situation awareness (i.e., understanding "what is going on") and performance in complex tasks. In the current study we asked whether: (a) training administered via a mobile phone-based app could improve…

Contribution: This is one of the first studies that evaluated the combination of an Agile framework (i.e., Scrum) along with the Service-Learning methodologies applied to education settlement. Another tool that would help improve educational delivery quality is the Service-Learning methodology that enables students to experience hands-on learning…