To ensure the learning of mathematics, teachers must be able to analyse their students' mathematical practices when solving tasks, interpret the difficulties that students encounter, and decide how to manage students' difficulties. This competence in didactic analysis and intervention allows teachers to adapt their teaching to meet individual…

This study aimed to survey and explore the basic aspects and needs for developing an instructional model to enhance attitude and achievement in ideological and political education(IPE). According to the experimental data results, the current status of attitude and achievement and the factors affecting attitudes are mainly analyzed, and…

The purposes of the current study were to examine the 5C social engineering model-based training program on Surat Thani Rajabhat University students and Khun Thale Subdistrict residents' problem solving and adaptability and to examine the participants' satisfaction learning with the 5C social engineering model-based training program. A training…

With the critical nature of socio-ecological challenges, the need to empower young people to generatively grapple with these science-related issues is crucial for developing their agentic citizenship. This paper reports on a primary science project that adopted a Socratic Seminar pedagogical strategy to enable student voice and collaborative…

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…

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…