This study tested competing theories about the effectiveness of different instructional sequences for learners with different levels of prior knowledge. Across two classroom experiments, undergraduates learned about noncovalent interactions in biochemistry by either receiving explicit instruction before problem-solving (I-PS group) or engaging in…

Engineering design that requires mathematical analysis, scientific understanding, and technology is critical for preparing students for solving engineering problems. In simulated design environments, students are expected to learn about science and engineering through their design. However, there is a lack of understanding concerning linking…

The aim of this qualitative research is to describe the thinking process as a profile of students' mathematical computational thinking (CT) skills in terms of CT attitudes. The subjects in this study were 66 junior high school students in grade IX. There were three students taken by purposive sampling based on high, medium, and low CT attitude.…

Background: Problem-solving ability is an important skill for students to develop in the 21st century. Many previous studies have focused on the impact of diverse digital educational games on problem-solving ability. However, there is inconsistency in the findings, with some studies reporting positive effects of digital game-based learning (DGBL)…

The relative effectiveness of reflection either through student generation of contrasting cases or through provided contrasting cases is not well-established for adult learners. This paper presents a classroom study to investigate this comparison in a college level Computer Science (CS) course where groups of students worked collaboratively to…

In this paper, we initially investigate the capabilities of GPT-3 5 and GPT-4 in solving college-level calculus problems, an essential segment of mathematics that remains under-explored so far. Although improving upon earlier versions, GPT-4 attains approximately 65% accuracy for standard problems and decreases to 20% for competition-like…

Studies have shown that students have different help-seeking behavior patterns and tendencies and furthermore, that students with certain help-seeking behavior patterns and tendencies may have poor performance (i.e., at-risk students). This study applied an educational data mining approach, including clustering and classification, to analyze…

The integration of artificial intelligence (AI) into mathematical problem-solving has shown significant potential to enhance student learning and performance. However, while AI tools offer numerous benefits, they are prone to occasional conceptual and arithmetic errors that can mislead users and obscure understanding. This research examines such…

The advancement of large language model-based generative artificial intelligence (LLM-based GenAI) has sparked significant interest in its potential to address challenges in computational thinking (CT) education. CT, a critical problem-solving approach in the digital age, encompasses elements such as abstraction, iteration, and generalisation.…

This study uses a quantitative methodology, employing a structured questionnaire, to examine the effectiveness of courses offered by Rustaq College of Education in enhancing students' future skills. The study focuses on pre-service teachers' perceptions within the context of the Omani Future Skills Paradigm Framework. The study results show that…

Background: In STEM education, tasks are essential for organizing and designing teaching-learning processes, as they give concrete form to curricular goals and content standards. Tasks that build on each other and initiate a learning process are particularly effective. Tasks are often specified according to their function (confrontation,…

Effective mathematics teaching practices include not only probing student thinking and selecting student strategies to share but also facilitating discourse and encouraging reflection about important mathematical ideas (National Council of Teachers of Mathematics [NCTM], 2014, pp. 36-37). Encouraging students to use precise academic vocabulary to…

This case study explores the complexity of leading adaptive change within a large RTLB (Resource Teacher: Learning and Behaviour) cluster in Aotearoa. Centred on the dilemma of how to adapt an internal case management tool (eRTLB) to strengthen best practices, the reflection draws on the principles of adaptive leadership and Robinson's (2022)…

Risky play is climbing, high-speed activities, dangerous exploration, dangerous elements, rough and tumble, and disappearing experiences. There are three primary barriers to risky play: the introduction of electronics, building safer playgrounds in new urban-designed cities, and parent involvement in overscheduling activities have been hindering…

This systematic review and meta-analysis synthesised evidence on teaching problem-solving skills to children in early childhood education and care settings (ECEC) in the domain of science, technology, engineering and mathematics (STEM). Given the foundational nature of early cognitive development and the growing emphasis on STEM competencies, this…