Neural and symbolic architectures are key techniques in AI for learner modelling, enhancing adaptive educational services. Symbolic models offer explanation and reasoning for decisions but require significant human effort. On the other hand, neural architectures demand less human input and yield better predictions, yet lack interpretability. Given…

Background: Over recent years in colleges and universities, a peerlearning assistant (PLA) model has been introduced into Science, Technology, Engineering, and Mathematics (STEM) classes. Despite the significance of this alternative pedagogical approach in undergraduate education, studies of PLAs' lived experiences of the approach, and hence a…

The development in information science has enabled an explosive growth of data, which attracts more and more researchers to engage in the field of big data analytics. Noticeably, in many real-world applications, large amounts of data are imbalanced data since the events of interests occur infrequently. Classification of imbalanced data is an…

Collaborative online learning (COL) has been associated with positive outcomes, such as critical thinking, shared problem-solving skills, and deep learning. Such outcomes require pedagogies that consider students' backgrounds, including the cultural context in which they operate. This study reflects upon the role of culture through the lens of the…

Artificial Intelligence in Education (AIEd) is an emerging interdisciplinary field that applies artificial intelligence technologies to transform instructional design and student learning. However, most research has investigated AIEd from the technological perspective, which cannot achieve a deep understand of the complex roles of AI in…

The purpose of this study was to identify, analyze, synthesize and evaluate research papers aimed at the application of metacognitive strategies to improve the quality of learning in secondary school students. This document is a systematic mapping (SM) which offers a comprehensive overview of the methods, indicators, strategies, techniques and…

While patterning was commonly seen as evidence of mathematical thinking, interdisciplinary interest has recently increased due to pattern-recognition applications in artificial intelligence. Within two empirical studies, we analyze the analogical-transfer capability of primary school students when completing three types of bi-dimensional patterns,…

Compared with the application of Digital Twin (DT) in the industrial field, the application of DT in the field of education is still in its infancy. In this paper, a Digital Twin Campus (DTC) for teaching and learning is proposed. It is argued that DTC possesses two characteristics. First, DTC has a wide variety of employment orientations for…

With the deep application of artificial intelligence and big data in education, adaptive learning has become a new research hotspot in online education. Based on the systematic review of the connotation and research progress of adaptive learning, a new definition of adaptive learning is given. By literature analysis, this paper points out the…

Patient involvement in health and social care education lacks theoretical underpinning, despite increasing calls for rigour. Theories help explain how learning is advanced and offer guidance for how faculty work with patients who become involved in curriculum delivery. We conducted a systematic review to synthesise how theory shapes our…

The affordances of technology-based assessments, like the objectively structured practical examination, have become an integral part of gross anatomy courses. The Department of Anatomy Faculty of Medicine at the University of Warmia and Mazury developed and introduced an application for tablet devices which has been implemented in student…

Since e-learning has become popular in recent years, research studies have been conducted about which instructional methods are the most effective in online learning environments. The purpose of this study is to investigate one promising method by applying the flipped classroom model to a Medical Terminology Course. This course was provided fully…

In this paper, we reflect on the implementation of a gamified application for helping students learn important facts about their study program. We focus on two design features, of which different configurations were tested in a field experiment among Dutch university students (N = 101). The first feature is feedback, which is expected to increase…

Occupational therapy education standards have recently changed to require students to demonstrate knowledge and use of the safe and effective application of physical agents. This change, which occurred in 2020, is more rigorous in the area of deep thermal and electrotherapeutic agents than in previous revisions. This mixed-methods convergent study…

In problem-based learning (PBL), implemented worldwide, students learn by discussing professionally relevant problems enhancing application and integration of knowledge, which is assumed to encourage students towards a deep learning approach in which students are intrinsically interested and try to understand what is being studied. This review…