The rise of the digital era has led to a decline in handwriting as the primary mode of communication, resulting in negative effects on handwriting literacy, particularly in complex writing systems such as Chinese. The marginalization of handwriting has contributed to the deterioration of penmanship, defined as the ability to write aesthetically…

MOOC platforms provide a means of communication through forums, allowing learners to express their difficulties and challenges while studying various courses. Within these forums, some posts require urgent attention from instructors. Failing to respond promptly to these posts can contribute to higher dropout rates and lower course completion…

This article investigates the effectiveness of a newly developed online tool for assessing and improving the design and accessibility of Learning Management System (LMS) sites in Higher Education. The study employs a mixed-methods approach, incorporating both quantitative and qualitative data. Results from 25 subject coordinators and 3 peer…

Architectural design representations comprise physical (models, drawings) and digital media (3D models). Multimodal combinations of physical and digital representations are commonplace in professional contexts such as design reviews or building sites, and 'making sense' of these assemblies requires complex socio-cognitive processes and…

In the early months of the COVID-19 pandemic, many research funding organizations were faced with the choice of suspending their peer review panels, or else continuing their decision-making processes virtually. Although seen part of a longer drive to make peer review more cost and time efficient as well as to combat climate and sustainability…

There has been a growing interest in developing simulated learners to enhance learning and teaching experiences in educational environments. However, existing works have primarily focused on structured environments relying on meticulously crafted representations of tasks, thereby limiting the learner's ability to generalize skills across tasks. In…

This study purposes to investigate the impacts of "theoretical" and "practical" courses on cyber entrepreneurial intention and its leading variables based on TAM/TPB integrated model. Targeted sampling technology is used to compare multiple groups of students who had taken cyber entrepreneurship courses or not, which used…

The growing influence of technology has prompted numerous scholars to explore how virtual reality (VR) affects performance. This study aims to validate the technology acceptance model (TAM) for VR in collaborative learning to enhance performance. We employed a questionnaire for data collection, distributed to 423 master's students in China…

The Penn Computerized Neurocognitive Battery (CNB) is a collection of tests validated using neuroimaging, genetics, and other criteria. An updated version of the CNB was constructed in which all tests were converted to either computerized adaptive (CAT) or abbreviated forms. In a mixed community/clinical sample (N = 307; mean age = 25.9 years;…

Research on mental model representations developed by programmers during parallel program comprehension is important for informing and advancing teaching methods including model-based learning and visualizations. The goals of the research presented here were to determine: how the mental models of programmers change and develop as they learn…

Digital technologies allow student self-assessment to be adaptive, scalable and multimodal. Despite such technological advances, digital self-assessment practices have largely reinforced the existing norms around student roles, leaving the fundamentals of self-assessment design untouched. Digital self-assessment has centred on learning outcomes…

Predicting academic performance in Educational Data Mining has been a significant research area. This involves utilizing machine learning techniques to analyze data from educational settings. Predicting student academic performance is a complex task due to the influence of multiple factors. This research uses supervised machine-learning approaches…

A series of experiments conducted in Central Europe (Hungary, Austria) and East Asia (Japan) probed whether 5- to 10-year-old children (n = 436, 213 female) and adults (n = 71, 43 female; all data collected between July 2020 and May 2023) would infer traits and choose partners accordingly, in a novel touchscreen game. The participants observed…

Generative artificial intelligence (AI) has the potential to revolutionize social science research. However, researchers face the difficult challenge of choosing a specific AI model, often without social science-specific guidance. To demonstrate the importance of this choice, we present an evaluation of the effect of alignment, or human-driven…

Augmented reality (AR) is one of the key emerging educational technologies that has gained traction in recent years. Subsequently, researchers have also begun to acknowledge AR's potential as a pedagogical tool that can be integrated into school curricula for environmental education. Such progress is important since the urgency of the climate…