Immersive virtual reality (VR) carries important potential, both for the creation of scientific knowledge and also for its communication. This is particularly important for studies of human spatial cognition, where psychologists now possess the power to combine the scale and fidelity of the real world with the malleability and control of the…

This study explores the academic experiences of 14 international students in Thailand and how these experiences reshape their concept of "study." Findings from the interviews show that students modified the concept of study after encountering new experiences of teaching and learning, shifting from viewing learning as an individual,…

Learner modeling systems so far formulated model learning in three main ways: a learner's "position" within a lattice of declarative and procedural knowledge about highly structured disciplines such as geometry or physics, a learner's path through curricular tasks compared to milestones, or profiles of a learner's achievements on a set…

The aim of this paper is two-fold. The first aim is to review the core representational and processing aspects of influential accounts of single-document and multiple-document comprehension with a particular emphasis on how readers negotiate conflicting information during reading. This review provides the groundwork for the second aim--to expand…

The aim of this paper is two-fold. The first aim is to review the core representational and processing aspects of influential accounts of single-document and multiple-document comprehension with a particular emphasis on how readers negotiate conflicting information during reading. This review provides the groundwork for the second aim--to expand…

Background: Deep learning methods, where models do not use explicit features and instead rely on implicit features estimated during model training, suffer from an explainability problem. In text classification, saliency maps that reflect the importance of words in prediction are one approach toward explainability. However, little is known about…

With the emergence of the Industrial Revolution 4.0, modern technologies such as cloud computing, artificial intelligence, and big data are profoundly transforming the education ecosystem. The development of education is not only faced with huge challenges but also contains rare opportunities. New concepts such as deep learning, adaptive learning,…

The spread of the coronavirus (COVID-19) strongly affected educational management in Thailand. This gave rise to the problem of how to improve the quality of students of all ages through 100% online learning, be this in areas of knowledge, abilities, skills, and attitudes towards learning. Therefore, the Secretariat of the Education Council of…

We are in a particular moment in human history when climate change and environmental degradation, and the accompanying "eco-anxiety" many of us feel, are challenging predominant ways of living and educating. Just as educational developers have started turning a critical lens inward around other important social justice issues, we all…

The HyFlex learning model has gained popularity in recent years and, with the outbreak of COVID-19, the demand has increased. However, there are challenges associated with the model, especially related to equity and engagement. A HyFlex model known as Interactive Synchronous HyFlex is being developed and practised by the researchers in their…

Involving plurilingual immigrant parents in their children's schooling is an understudied area. However, research shows the importance of parental involvement for all. Much literature critiques the existing understanding of the term parental involvement which is based on the practices of white middle-class parents and fails to recognize the common…

As a high-impact practice, peer mentoring programs are used in a variety of contexts, with a variety of outcomes for mentees. Peer mentoring programs present a unique experience for mentors to develop leadership skills. However, gaps in the literature expose the need for a greater understanding of peer mentor leadership practice and more…

Higher education institutions have consistently strived to provide students with top-notch education. To achieve better outcomes, machine learning (ML) algorithms greatly simplify the prediction process. ML can be utilized by academicians to obtain insight into student data and mine data for forecasting the performance. In this paper, the authors…

The global impact of COVID in 2020 is forcing higher education institutions in many countries to adopt a hybrid model of education. The shift to blended education has been trending globally. However, the change in pedagogy has reduced the quality of students' learning experience and prevented them from deep learning. Therefore, the current study…

The current study examined how individuals with neurodevelopmental disorders navigate the complexities of learning within multidimensional environments marked by uncertain dimension values and without explicit guidance. Participants engaged in a game-like complex reinforcement learning task in which the stimuli dimension determining reward…