In agreement with the main tenets of the anthropological theory of the didactic (ATD), this study uncovers dependencies between what students can learn, the established curriculum and the current state of mathematicians' mathematics ('scholarly mathematics'). One main result is that the mathematics taught, too often taken for granted by curriculum…

Thirty-seven third graders and thirty-two first graders engaged in solving a tangram puzzle in the shape of a fox. They had five minutes to solve the puzzle, and after this time, they received guidance on the particular piece they had difficulties with. Through the lenses of navigating flexible abstraction, reinterpretation, combinations, and…

The need for data-driven decision-making primarily motivates interest in analysing Big Data in higher education. Although there has been considerable research on the value of Big Data in higher education, its application to address critical issues within the sector is still limited. This systematic review, conducted in December 2021 and…

Problem-solving ability is a fundamental skill that students must develop in science education. However, many students continue to face challenges in mastering this competence. This study aims to develop a valid, practical, and effective science learning module to enhance students' problem-solving skills. The research adopts a Research and…

The rapid adoption of deep learning models has resulted in many business services becoming model services, yet most AI systems lack the necessary automation and industrialization capabilities. This leads to heavy reliance on manual operation and maintenance, which not only consumes power but also causes resource wastage and stability issues during…

Contribution: This research paper contributes to engineering education research with a framework for interdisciplinary learning outcomes based on students' experiences from participation in an interdisciplinary project for engineering students. A theoretical frame of reference is developed to analyze students' experience with interdisciplinary…

Background: Although the literature on education and learning sciences determined how student identities influence their experiential learning process, this link is less clear in the agricultural context, where farmers have faced unique value chain challenges i.e., production to marketing. Purpose: This study contributes to examining how farmers'…

Students wishing to pursue careers in international business, notably in the developing world, must be prepared for complex, unpredictable, uncomfortable, and messy realities, and to collaborate with others very different from themselves. Mainstream business school learning environments are generally highly structured, cognitively oriented,…

In undergraduate mathematics education, students' collaborations have gained a reputation as a 'good' learning practice. A more complex image emerges once collaborations are construed as an arena where cognitive, social, and affective matters intertwine in ways that can fuel and impede learning. In this study, I take a close look at a…

Implementation support strategies such as professional development (PD) are pivotal in guaranteeing the assistance that teachers need to enact mathematics teaching innovations and to secure lasting change. Within large-scale efforts an important issue for researchers is to understand how to design and put into effect these implementation support…

This paper explores the affordances of mobile learning in developing frameworks for discourse analysis. Specifically, this paper examines the commognitive analysis of classroom discourses in virtual learning environments (VLEs) and how it resolves the challenges of discourse analysis in face-to-face (F2F) settings. With the ongoing social turn of…

Upper-division physics students solve partial differential equations in various contexts in quantum mechanics courses. Separation of variables is a standard technique to solve these equations. We investigated students' solutions to midterm exam questions and utilized think-aloud interviews. We also applied a framework that organizes students'…

The study examines language dimensions of mathematical word problems and the classification of mathematical word problems according to these dimensions with unsupervised machine learning (ML) techniques. Previous research suggests that the language dimensions are important for mathematical word problems because it has an influence on the…

The use of learner modelling approaches is critical for providing adaptive support in educational computer games, with predictive learner modelling being among the key approaches. While adaptive supports have been shown to improve the effectiveness of educational games, improperly customized support can have negative effects on learning outcomes.…

We investigate upper-division student difficulties with direct integration in multiple contexts involving the calculation of a potential from a continuous distribution (e.g., mass, charge, or current). Integration is a tool that has been historically studied at several different points in the curriculum including introductory and upper-division…