While existing studies have underscored the educational benefits of generating explanatory hypotheses (EHs) in response to unexpected outcomes, empirical research on the underlying mechanisms driving their effectiveness in science learning remains limited. Thus, this study aimed to empirically examine the effectiveness of generating an EH for…

This study evaluates the implementation of a collaborative/game-based learning strategy on final year B.Sc. students focused on reinforcing the Taylor theorem (a mathematical concept previously learned, usually forgotten over time and widely used in chemical engineering) and analyses its effect on their academic performance. To this end, the…

Background: Engaging students in computer-assisted guided inquiry learning has great potential to scaffold their scientific understanding: Students are expected to improve their scientific problem-solving skills, and at the same time gain a deep conceptual understanding of the subject-matter. Additional generative activities such as creating video…

Small private online courses (SPOCs) have influenced teaching and learning in China's higher education. Learning management systems (LMSs) are important components in SPOCs. They can collect various data related to student behavior and support pedagogical interventions. This research used feature engineering and nearest neighbor smoothing models…

Research and academia have been recently affected by the Coronavirus (COVID-19), and physical classrooms and laboratory experiments have been affected significantly due to the recent laboratory closures. This has led to innovative approaches to curb this problem. To address these difficulties in teaching bioengineering related courses that is of…

The flipped classroom teaching model has been widely used in anatomy education to embrace a blended learning strategy. However, the impact that a continuous flipped classroom teaching model exerts on student learning of human topographic anatomy remains unclear. To address this question, student learning experience and performance were compared…

The COVID-19 pandemic has emphasized the importance of designing effective methods for remote teaching. At the University of California, Berkeley, and the University of California, Santa Cruz, instructors adapted to the necessity of remote laboratory instruction by creating choose-your-own-adventure-style video-based online experiments introduced…

Background: In countries that endorse science, technology, engineering, and mathematics (STEM) education as an educational movement, design-based learning is deemed a pedagogical approach. Purpose: Because the integration of the engineering design process and scientific investigation has been an issue in science education, this study examined the…

Background: The substantial growth in gamification research has connected gamified learning to enhanced engagement, improved performance, and greater motivation. Similar to gamification, personalized learning analytics dashboards can enhance student engagement. Objectives: This study explores the student experiences and academic achievements using…

As the most influential figure in the field of learning science, Piaget's research on children's concepts and consciousness, his concept of 'Piagetian education', his contribution to constructivism have been greatly adopted in education. However, the weaknesses of his work have been criticised by many scholars. This paper illustrates how Piaget's…

Background: This paper examines the use of augmented reality (AR) as a concept-association tool in schools, with the aim of enhancing primary school students' learning outcomes and engagement. Conflicting findings exist in previous studies regarding the cognitive load of AR-enriched learning, with some reporting reduced load and others indicating…

Multilingual learners (MLs) often struggle with science conceptual learning partly due to the abstractness of the concepts and the complexity of scientific texts. This study presents a case of a Virtual Reality (VR) enhanced science learning unit to support middle-school students' science conceptual learning. Using a transformative mixed methods…

This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…

This article concerns the synergy between science learning, understanding complexity, and computational thinking (CT), and their impact on near and far learning transfer. The potential relationship between computer-based model construction and knowledge transfer has yet to be explored. We studied middle school students who modeled systemic…

Past research has identified factors that help maintain the cognitive demand of tasks, including "drawing conceptual connections." We investigated whether teachers who were engaging in the teaching practice of "building"--and thus focusing the class on collaboratively making sense of their peers' high-leverage mathematical…