ChatGPT, as an example of generative artificial intelligence, possesses high-level conversational and problem-solving capabilities supported by powerful computational models and big data. However, the powerful performance of ChatGPT might enhance learner dependency. Although it has not yet been confirmed, many teachers and scholars are also…

This study explores the effectiveness of chatbots empowered by generative artificial intelligence (GAI) in assisting university students' creative problem-solving (CPS). We used quasi-experiments to compare the performance of dialogue dynamics, learner perceptions, and practical competencies in CPS during students' interactions with: (1) a GAI…

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…

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…

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…

Poor teaching quality indicates an unpleasant learning environment, tends to inherit knowledge that impacts the learning process as limited to tacit knowledge, and does not reach the explicit knowledge process, resulting in lower productivity and poor morale. This study aims to analyze the influence of instructional leadership on the competencies…

This study investigated the relationship between primary school students' mathematics motivation and problem-solving skills in mathematics. A total of 429 students were selected through convenience sampling, using a relational survey model. Data were collected using the Mathematics Problem-solving Achievement Test and the Mathematics Course…

This study aims to understand students' views on project development in coding and robotics courses. Focusing on student study groups in this field seeks to provide a broad view using qualitative and quantitative methods. The study group consists of students taking the coding and robotics course. A semi-structured interview form developed by the…