Data science is inherently collaborative as individuals across fields and sectors use quantitative data to answer relevant questions. As a result, there is a growing body of research regarding how to teach interdisciplinary collaboration skills. However, much of the work evaluating methods of teaching statistics and data science collaboration…

This research describes the results of the implementation of the Challenge Based Learning (CBL) with the Design Thinking (DT) methodology, evaluating its stages for the co-creation of solutions to challenges in business contexts combined with an innovative institutional strategy in the higher education. This methodology, articulated with the CBL…

We discuss how research on student difficulties was used as a guide to develop, validate, and evaluate a Quantum Interactive Learning Tutorial (QuILT) to help students learn how to determine the completely symmetric bosonic or completely antisymmetric fermionic wave function and be able to compare and contrast them from the case when the particles…

Differential equations are an important mathematical concept used to model processes in many disciplines. However, the literature shows that students experience many difficulties when studying this topic. We investigate the effect of using context while teaching differential equations on engineering students' ability to construct and interpret…

A comparison of student performance in an introductory biology class that used a lecture-based approach (N = 15 classes; 462 students) with those that had a no-lecture approach (N = 9 classes; 238 students). All classes were taught by the principal researcher. In the no- lecture environment, shifts in student perceptions of science were…

Incorporating forensic applications into chemical education serves as an effective strategy for engaging college students and equipping them with the skills necessary to become valuable in the workforce in relevant fields. For instance, learning how to extract controlled substances from biological specimens in a laboratory course is essential for…

Climate change is a nuanced global issue with a scope that is often difficult to fully appreciate. This study examined an undergraduate course focused on the impacts and responses to climate change on the Outer Banks of North Carolina, USA. The course utilized a socioscientific issues (SSI) approach to examine global climate change in a local…

Despite the growing interest in emotions in engineering education, empirical research on incorporating them into engineering ethics education is limited. Therefore, we designed this experimental study to assess how different methods for integrating compassion into engineering ethics cases influenced the intensity of compassion associated with the…

Mind-wandering during reading is often associated with worse comprehension performance. Research suggests that metacognitive competences (i.e., the knowledge about as well as monitoring and regulation of one's own cognitive processes) are positively related to reading performance and may play a role in the prevalence of mind-wandering. However,…

This study aims to test the effectiveness of GeoGebra Augmented Reality in improving students' mathematical problem-solving skills. The method used is a quasi-experiment with a posttest-only control group design. The research population is students of the Mathematics Education Study Program at a private university in Indonesia, with a sample of 32…

The research on mathematical argumentation has mainly adopted a dialectic lens which focuses on understanding the abstract and logical development of reasoning in argumentation. However, this approach may have overlooked other key aspects of mathematical argumentation, including the unfolding of the meaning-making experience and process during…

Background: Academic boredom is ubiquitous, and it leads to a range of adverse learning outcomes. Given that students often make estimates of how boring lectures are, does anticipating a lecture to be boring shape their actual experience of boredom? Aims: The current research investigated whether anticipated boredom intensifies subsequent boredom…

Recent advancements in large language models (LLMs) hold significant promise for improving physics education research that uses machine learning. In this study, we compare the application of various models for conducting a large-scale analysis of written text grounded in a physics education research classification problem: identifying skills in…

This study aimed to determine the effect of explain-analysis-doing discussion or known as ex-add learning techniques on critical thinking skills and pedagogic competence of Islamic religious education students at State Islamic University (UIN) Sulthan Thaha Saifuddin Jambi and at UIN Raden Fatah Palembang, Indonesia. The approach used quantitative…

Advances in brain imaging have led to a paradigm shift in neuroscience research, moving from focusing on individual brain structures to investigating neural networks and connections. However, neuroanatomy education still tends to concentrate on discrete brain regions. Two separate experiments in undergraduate neuroscience courses investigated…