Contribution: This study incorporates competition-based learning (CBL) into machine learning courses. By engaging students in innovative problem-solving challenges within information competitions, revealing that students' participation in online problem-solving competitions can improve their information technology, and showcase competitions can…

In this industrial revolution era, university-level education emphasises higher-order thinking skills. This research aims to analyse the effect of implementing the PjB-HOTS learning model on cognitive learning, creative thinking skills, analytical thinking skills, and metacognitive skills of the students studying osmoregulation concepts in Animal…

The interest in metaverse technology has risen notably in higher education learning contexts. Due to the global spread of the Covid-19 pandemic, higher education institutions are now increasingly emphasising online interactive learning. Higher education institutions are currently investigating the potential of metaverse technology to enhance…

Colleges and universities across the country must make significant capital investments to meet today's digital demands. Critical Connections explains why this challenge is more complex for Historically Black Colleges and Universities (HBCUs) than for predominantly White institutions (PWIs). It also details: (1) What makes the HBCU model so…

This study explored the role of social media on the career choices of Asian American students, particularly those opting for non-STEM fields, drawing on qualitative data from a sample of 12 participants. The findings revealed that social media exerted both positive and negative influences on career development. Positive influences included…

Purpose: The purpose of this article is to debut a novel initiative that could potentially optimize resources that are currently constrained but, if unleashed, could help ameliorate the science, technology, engineering and mathematics teacher shortage. The initiative involves the reconceptualization of the National Network for Educational Renewal…

Previous research has been limited regarding the measurement of computational thinking, particularly as a learning progression in K-12. This study proposes to apply a multidimensional item response theory (IRT) model to a newly developed measure of computational thinking utilizing both selected response and open-ended polytomous items to establish…

Who should evaluate the originality and task-appropriateness of a given idea has been a perennial debate among psychologists of creativity. Here, we argue that the most relevant evaluator of a given idea depends crucially on the level of expertise of the person who generated it. To build this argument, we draw on two complimentary theoretical…

Project-based learning (PBL) empowers students to become active learners. In this work computational reverse osmosis (RO) projects developed from industrial case studies and research were implemented in several chemical engineering courses to enhance student learning experience. Students not only gained knowledge in water treatment, but also…

Learning flow is an optimal state of engaged learning and total immersion, which is conducive to many academic outcomes. Although studies have examined how learning flow emerges, few have focused on the early foundations of its development. Drawing on Life History Theory, this study examines whether and how childhood environment is related to…

The professionalization of teachers is a fundamental and decisive issue for all education systems. This text presents a qualitative research on an original experiment in training future primary school teachers in the nature of science (NOS) and its transposition into teaching practice. It is a script for reading the children's book, "7 souris…

The prevalence of self-construction practices in Türkiye has resulted in a building stock whose earthquake resilience is highly uncertain. To mitigate the potentially devastating impact of anticipated large earthquakes, one viable approach is to increase earthquake awareness among builders themselves. However, these builders lack formal…

Much of learning analytics research has focused on factors influencing model generalizability of predictive models for academic performance. The degree of model generalizability across courses may depend on aspects, such as the similarity of the course setup, course material, the student cohort, or the teacher. Which of these contextual factors…

Machine learning (ML) methods are among the most promising technologies with wide-ranging research opportunities, particularly in the field of education, where they can be used to enhance student learning outcomes. This study explores the potential of machine learning algorithms to build and train models using log data from the "3D…

Academic literacies (AL) research has made significant contributions to understandings of student writing and literacy across higher education and particularly learning development. However, researchers and practitioners both within and external to the AL movement have struggled to clarify the relationship between AL and pedagogy. English for…