Two scientific and systematic evaluation index systems are constructed for primary education APP and Science, Technology, Engineering, and Mathematics (STEM) courses. These systems are revised and confirmed through two rounds of Delphi method. The Delphi method determines an educational application (APP) evaluation index system containing four…

This mixed-methods research study examined the perceived efficacy of multiweek, immersive, experiential, in-person executive education for developing EI in senior executives for improved leadership effectiveness. Extensive research supports the ability of adults to develop EI competencies through workplace training, executive coaching, and MBA…

The objective of the study is to investigate the impact of perceived organisational support (POS) on the turnover intention of academicians. Additionally, it explores the potential mediating role of perceived values of artificial intelligence (PVAI) in the relationship between POS and turnover intention among teaching faculty members in private…

Who should evaluate the originality and task-appropriateness of a given idea has been a perennial debate among psychologists of creativity. Here, we argue that the most relevant evaluator of a given idea depends crucially on the level of expertise of the person who generated it. To build this argument, we draw on two complimentary theoretical…

Growth and fixed mindsets (i.e., beliefs about whether people's abilities can be developed) shape how people interpret and respond to events in their social worlds. The present work examines how these mindsets relate to individuals' likelihood of legitimizing racial and socioeconomic inequities in education. Meta-analyses of 20 original studies…

Individuals diagnosed with autism spectrum disorder (ASD) are more likely to have suicidal thoughts and behaviors. However, little research delineates the temporal and mechanistic associations between potential risk factors and suicidality in autistic individuals. We assessed 129 autistic and 121 age-matched and sex-assigned-at-birth-matched…

Purpose: This paper aims to consolidate empirical studies between 2013 and 2022 to investigate the impact of artificial intelligence (AI) in higher education. It aims to examine published research characteristics and provide insights into the promises and challenges of AI integration in academia. Design/methodology/approach: A systematic…

Purpose: The intricate dynamics of ChatGPT adoption among Indian students are discussed while exploring the factors outlined by Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). By assessing these factors, this study aims to unravel their impact on the behavioral intention to use ChatGPT. Design/methodology/approach: While evaluating…

As generative AI tools are increasingly popular in today's teaching and learning process, challenges and opportunities occur at the same time. Self-directed learning has been regarded as a powerful learning ability that supports learners in informal learning contexts and its importance rises in salience when incorporating AI into learning. This…

Machine learning (ML) methods are among the most promising technologies with wide-ranging research opportunities, particularly in the field of education, where they can be used to enhance student learning outcomes. This study explores the potential of machine learning algorithms to build and train models using log data from the "3D…

The development of critical data and artificial intelligence (AI) literacy has become a key focus in current discussions in Higher Education, thus it is necessary to develop and advance capacity building, reflectiveness and awareness across disciplines to critically address the possibilities and challenges presented by data and AI. In this paper,…

Speaking with an artificial counterpart in simulated environments has been shown beneficial for foreign language learning. Still, few studies have explored how it is experienced by younger students. We report on a study of Swedish students (N = 22) speaking English with embodied conversational agents (ECAs) in everyday-life scenarios. Data were…

Drawing upon a framework of "assemblage thinking," this article offers an approach to considering artificial intelligence (AI) and ethics that seeks to think relationally across the positions occupied as educators and students at a business school. To complement discussions of assemblage and examinations of ethics in the AI era, we draw…

Background: In the field of Learning Design, it is common that researchers analyse manually design artefacts created by practitioners, using pedagogically-grounded approaches (e.g., Bloom's Taxonomy), both to understand and later to support practitioners' design practices. Automatizing these high-level pedagogically-grounded analyses would enable…

The purpose of this study is to analyze the relations between social competence and mental well-being through perceptions of giftedness in gifted and general students. Data are collected from 359 gifted and general South Korean students (M[subscript age] = 13.54) and analyzed by structural equation modeling. The results reveal that, first, gifted…