Motivation to learn mathematics decreased due to the inability of teachers to implement innovative learning models and techniques. Therefore, this study aimed to investigate the effects of teachers' ability on students' motivation to learn mathematics by using quantitative methods and survey approaches. There were 32 mathematics teachers and 542…

To promote the construction of public physical education online courses in colleges and universities and the evaluation of the effectiveness of course teaching, this article combines 3D reconstruction techniques in computer vision to construct a set of human body shape reconstruction models and apply them to physical training exercises and…

How important are learning strategies or personal attributes for learning outside of domain-specific knowledge or twenty-first-century transversal skills when predicting academic success in higher education? To address this question, we conducted a longitudinal study among 1,681 students at one of the leading universities in Hungary. Students took…

Research methods based on modelling and simulation (M&S) are gaining popularity among social scientists to study societal dynamics. Emphasising the importance of this research approach, the Department of Religion, Philosophy and History at the University of Agder initiated a methodology module to help students on the religious studies…

Even though Social and Emotional Learning (SEL) has become a central domain in education, there is still a lack of clarity in the underlying conceptual models guiding educational efforts and insufficient empirical evidence supporting these models. The Chilean Agency for Quality in Education developed a socioemotional questionnaire as part of the…

The General Data Protection Regulation (GDPR) in the European Union contains directions on how user data may be collected, stored, and when it must be deleted. As similar legislation is developed around the globe, there is the potential for repercussions across multiple fields of research, including educational data mining (EDM). Over the past two…

This study investigated students' meaning-making of polymeric concepts during modelling and discuss students' creation of visible representations in chemistry. The analysis combines a phenomenographic and social semiotic approach and leads to the finding and description of 21 different meaning-making processes. We refer to meaning-making as the…

Game-based learning environments hold significant promise for facilitating learning experiences that are both effective and engaging. To support individualised learning and support proactive scaffolding when students are struggling, game-based learning environments should be able to accurately predict student knowledge at early points in students'…

This study revisits the term 'communicative competence' and delves into its details. It presents briefly various models of communicative competence to show what has been written on this term, and then it introduces the term 'communication proficiency' as a broader term that includes all competencies and skills required for communication. It…

Desirable difficulties are learning conditions that are often experienced as effortful, but have a positive effect on learning results and transfer of knowledge and skills (Bjork & Bjork, 2011; Bjork, 1994). Learners often do not appreciate the beneficial effects of desirable difficulties, and the negative experiences of high effort and…

This research aims to develop a career guidance model design based on blended learning for primary school learners. This research combines the development model of Borg and Gall and Branch. Products development are syllabus, lesson plan, inventory, guidance, and blended learning containing career awareness materials. After being validated by the…

Diagnostic classification models (DCMs) have recently become very popular both for research purposes and for real testing endeavors for student assessment. A plethora of DCM models give researchers and practitioners a wide range of options for student diagnosis and classification. One intriguing option that some DCM models offer is the possibility…

Scientific research endeavors are increasingly collaborative in nature. As researchers work together in groups of increasing size to develop project goals and implement plans, traditional 1-1 single faculty-student mentor models are less relevant as students need input and guidance from the multiple faculty members contributing to the…

The aim of this study was to compare the 5E learning model with traditional learning methods in terms of their effect on students' conceptual understanding of water subtopics. The participants of the study were grade 8 students of 2021 academic year. While 27 of them were randomly assigned to the experimental group, the other 27 were assigned to…

In this paper we use historic score-reporting records and test-taker metadata to inform data-driven recommendations that support international students in their choice of undergraduate institutions for study in the United States. We investigate the use of Structural Topic Modeling (STM) as a context-aware, probabilistic recommendation method that…