In the study, problem-solving educational software (ProSES) was developed to reduce the challenges and mistakes experienced by primary school third-grade students in mathematical problem solving and to provide scaffolding and hint support for teacher help for the students using mobile technologies. The study aimed to determine the impact of the…

This article aims to study and implement a deep learning algorithm-based information literacy assistance system for college students to solve the problems of insufficient personalization and untimely feedback in the existing information literacy education methods, so as to improve the information literacy level of college students. This article…

This case study explores the practical application of project-based learning (PjBL) within a first-year business management module designed to address the unique challenges faced by widening participation students. It examines how embedding employability skills such as problem-solving, communication, teamwork and critical thinking directly into…

There is a general consensus that design-based research (DBR) is a genre of approaches in education research to design interventions for specific problems with the aim to gain an understanding of how they work in the problem context. While there is a considerable body of literature discussing the epistemic and methodological aspects of DBR, we…

One of the aims of the present study was to reveal and compare the performance of ChatGPT versions (GPT-4o, GPT-4, and GPT-3.5), MathGPT, and Gemini in solving 390 mathematical problems in interactive mathematics e-textbooks across various dimensions. The other aim was to identify the affordances and constraints of ChatGPT through the instrumental…

Purpose: To determine the factors influencing the perception of undergraduate students toward research--teaching nexus and also to examine its impact on the attitude of the students. Design/methodology/approach: The study used a quantitative design to examine the perceptions of students in higher education institutions in India. Descriptive and…

Transdisciplinary thinking is crucial for addressing global challenges, yet standardized assessment tools for high school students are lacking. This study addresses this gap by developing and validating a transdisciplinary thinking scale (TTS) tailored for this demographic. Following established methodologies, the TTS was crafted through expert…

This meta-analysis study aimed to comprehensively examine the effect size of STEM practices on the development of students' problem-solving skills. By combining the results of 25 individual studies, the researchers can gain a holistic understanding of the overall impact of STEM approaches. Consequently, these studies were categorized according to…

There is a heightened concern over undergraduate students being over-reliant on Generative AI and using it recklessly. Reliance behaviours describe the frequencies and ways that people use AI tools for tasks such as problem-solving, influenced by individual factors such as trust and AI literacy. One way to conceptualise reliance is that reliance…

This study aims to investigate the role of social support--specifically from family, teachers, and peers--in enhancing computational thinking (CT) abilities among elementary school students. Grounded in social support theory, the scales related to teacher, parental, and peer support were adapted from the PSIA test. After ensuring their reliability…

This research, conducted between 2020 and 2024 in Romania, investigates the challenges and strategies related to teaching and solving mathematical word problems, based on insights from 163 teachers of grades 0 to 8. The study found that students often experience anxiety when solving word problems, especially during exams, due to difficulties with…

Background: Computational thinking (CT) is a fundamental ability required of individuals in the 21st-century digital world. Past studies show that generative artificial intelligence (GenAI) can enhance students' CT skills. However, GenAI may produce inaccurate output, and students who rely too much on AI may learn little and be unable to think…

This study investigated teachers' perceptions on the impact of gamification on student engagement and learning outcomes in Nigerian primary schools, aiming to bridge the gap between traditional teaching methods and contemporary learner needs. A mixed-methods approach was utilised, involving quantitative and qualitative data collection through an…

Universities worldwide play a pivotal role in shaping the future workforce by equipping students with the skills, knowledge, and attitude required to thrive in an ever-evolving job market. "Transformative Approaches to Career-Ready Education" addresses the critical challenge of aligning higher education with modern industry and national…

Inquiry-based learning (IBL) in mathematics is a student-centered approach that encourages exploration, problem-solving, and critical thinking, allowing students to actively engage with mathematical concepts and discover relationships through hands-on activities and collaborative learning. Despite the growing interest in IBL within mathematics…