The increasing use of complex machine learning models in education has led to concerns about their interpretability, which in turn has spurred interest in developing explainability techniques that are both faithful to the model's inner workings and intelligible to human end-users. In this paper, we describe a novel approach to creating a…

As US college campuses continue to be embroiled in demonstrations and internal conflict over the Israel-Hamas War more than one year after its outbreak, it is worth examining how the conflict initially boiled over into American higher education. To this end, the authors analyzed how university leaders chose to initially communicate with their…

Raman spectroscopy, a powerful vibrational spectroscopic technique widely used in chemistry, materials science, and environmental analysis, provides critical molecular insights through spectral fingerprints. However, undergraduate students often lack proficiency in optimizing experimental parameters, interpreting vibrational modes, and applying…

A key challenge in CSCL research is to find ways to support learners in becoming effective collaborators. While the effectiveness of external collaboration scripts is well established, there is a need for research into support that acknowledges learners' autonomy during collaboration. In the present study, we compare an external collaboration…

The aim of this study is to investigate the production and dissemination of mathematical modeling-based projects by gifted students, intended to solve real-life problems, over the four-year Project Production and Management Program (PPMP). The longitudinal research methodology was utilized to examine the project production process among…

Political knowledge questions often are used in social sciences web surveys to study political literacy, identify knowledge gaps and misinformation, examine political polarization, and predict political behavior. However, knowledge questions are subject to bias when respondents look up the correct answers online. Lookup behavior can confound…

Artificial Intelligence (AI) is increasingly being used in education, but mostly to support individual teaching and learning. However, there are good reasons to think that thinking together and solving problems together, Collective Intelligence (CI), is also a valuable outcome of education. Accordingly, our main research question is: How can AI be…

Data-driven marketing analytics courses are integral to modern business management degrees in universities, yet many graduates focus solely on single, separated data analysis techniques during their learning process, hindering effective integration and practical performance. This study proposes that employing the Fishbowl method, which divides…

Cover, copy, and compare (CCC) is a study strategy in which students cover their notes, attempt to copy them, and then compare for accuracy. We evaluated whether CCC could be used to establish equivalence classes with undergraduate students. A video training package and experimenter feedback were used to teach participants to engage in CCC with…

An ethical dilemma occurs when a situation may be resolved in various ethical and unethical ways. School psychologists have previously reported experiencing ethical dilemmas in practice, particularly around administrative pressures, unsound educational practices, assessment, and confidentiality. The current study queried school psychologists'…

The aim of this study is to obtain an overview of the literature on multi-criteria decision-making (MCDM) methods in educational research, to map the literature, to identify existing knowledge and application areas, to reveal the methods used and their purposes of use, and to reveal the thematic structure of the field. This study followed a…

Linguistic ethnographers are invested in empirically studying, rather than presupposing, social problems that are produced in language. Their dialogue with subjects who experience these problems helps explain why fields such as sociolinguistics and linguistic anthropology are considered critical. This article critiques the criticality in this…

Purpose: This study aims to explore the relationship between emotional intelligence (EI) and performance. Based on the job demands and resources (JD-R) and conservation of resources (COR) theories, a conceptual model is developed showing organizational citizenship behavior (OCB) as a mediator and emotional exhaustion as a moderator in influencing…

Students employing problem-based learning (PBL) face complex problems admitting multiple solutions. Knowledge maps are an effective tool to support students in PBL to represent, analyze, and guide their knowledge structure. Previous studies have examined the use of knowledge mapping techniques in both individual and collaborative learning process.…

Temperament and externalizing problems are closely linked, but research on how they codevelop across adolescence remains sparse and equivocal. Reinforcement sensitivity theory (RST) provides a useful framework for understanding temperament and externalizing problems associations. During adolescence, oppositional problems are posited to be linked…