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…

In Computer Science (CS) education, understanding factors contributing to students' programming difficulties is crucial for effective learning support. By identifying specific issues students face, educators can provide targeted assistance to help them overcome obstacles and improve learning outcomes. While identifying sources of struggle, such as…

Evaluating the performance of Large Language Models (LLMs) is a critical yet challenging task, particularly when aiming to avoid subjective assessments. This paper proposes a framework for leveraging subjective metrics derived from the class textual materials across different semesters to assess LLM outputs across various tasks. By utilizing…

Research on the effectiveness of Intelligent Tutoring Systems (ITSs) suggests that automatic hint generation has the best effect on learning outcomes when hints are provided on the level of intermediate steps. However, ITSs for programming tasks face the challenge to decide on the granularity of steps for feedback, since it is not a priori clear…

As China joined the World Trade Organization (WTO) and its national strength continued to grow, enthusiasm for learning Chinese has been heating up globally. Chinese language education has gradually integrated into the education systems of more countries, becoming a significant focus of attention and study. However, despite the increasing demand…

Recently, there has been a plethora of studies about students' attitudes toward the use of artificial intelligence (AI) technologies in education, particularly in higher education and language education; however, research on AI use in high school settings has gained relatively little attention, leaving a huge research gap in the literature. This…

The computer has evolved from a tool to a privileged position where architectural design takes shape. Given that students are expected to work primarily in a computational environment and frequently in a collaborative way, some questions challenge and inspire us to consider new ways and methods that will aid in the creation and sharing of…

The image of free-falling bar has been recorded to study the effect of the motion on its observed length. This moving bar image is analysed using the Tracker software to determine its length and the end bar's position. An elongated appearance of the bar has been observed with movement. This effect relies on the speed and the exposure time during…