Background: Artificial intelligence (AI) has assumed an increasingly pivotal role in STEM education. However, a comprehensive review that captures the current landscape and research trends in this domain remains conspicuously absent. Purpose: In response, this study undertakes an exhaustive examination of 186 scholarly articles, all centered on…

The current study investigated the impact of AI-mediated interaction on L2 learners' oral speaking ability, summarizing ability, and perceptions. Participants were EFL university students from South Korea who were randomly assigned to one of three groups: aiSPEAK, aiSUM, and control. The two experimental groups, aiSPEAK and aiSUM, engaged in…

Artificial intelligence (AI) tools like ChatGPT offer new opportunities to enhance student learning through active recall and self-directed inquiry. This study aimed to determine student perceptions of a classroom assignment designed to develop proficiency in using ChatGPT for these strategies. First-semester Doctor of Pharmacy students in a…

Background/purpose: This study explores the use of Artificial Intelligence (AI) technology on college academic outcomes among students in the College of Humanities and Sciences at a large research university in the United Arab Emirates, focusing on students taking a sociology course. With the growing incorporation of AI in educational settings,…

Background: California's unprecedented grant investment in the community school strategy through the California Community Schools Partnership Program (CCSPP) offers a significant opportunity for transformative, equity-centered, whole-child school reform (Maier & Niebuhr, 2021). Community schools are grounded in partnerships that schools…

Purpose: This study intends to promote social sustainability by addressing the shifting skill expectations for recent graduates in response to changing employer demands within the industry 5.0 framework. It tries to identify the best combination of socially sustainable skills that will improve graduates' employability and align them with industry…

Purpose: This paper examines the integration of artificial intelligence (AI) in organizational training and development through an evidence-based lens, addressing the gap between technological enthusiasm and pedagogical effectiveness in workplace learning contexts. Design/methodology/approach: An integrative literature review methodology was…

Collaborative problem solving is widely recognized as a critical 21st-century skill. Assessing collaborative problem solving depends on coding the communication data using a construct-relevant framework, and this process has long been a major bottleneck to scaling up such assessments. Based on five datasets and two coding frameworks, we…

This research focuses on developing innovator skills in a group of innovators in the higher education level in the field of business administration, emphasizing the use of creative learning processes to promote innovator skills. The purpose of this research is to 1) Studying the characteristics of higher education innovators. 2) Develop a…

Dysgraphia is a learning disability that impairs children's written expression, mainly handwriting but also coherence at the same time. This research work was conducted to know the effectiveness of Chat Generative Pre-trained Transformer (ChatGPT)-based intervention, in assisting children with dysgraphia to enhance their writing skills. The…

This paper presents the conceptual design of a simulation-based training system that supports pre-service teachers in developing discourse competence for facilitating accountable classroom talk on socio-scientific issues (SSI). The system is grounded in research on dialogic teaching, conceptual change, teacher reflection, and the TPACK framework.…

This study concludes that traditional logistic regression models, particularly those using ACT Composite scores, tend to demonstrate better fairness metrics across subgroups compared to a fairness-aware machine learning gradient-boosted machine model. The exclusion of race/ethnicity from predictive models does not introduce notable bias and may…

Machine translation tools have gained increasing popularity among translation learners, transforming their translation learning behaviors. However, it is unclear how learners' continuance intention to use these tools is affected yet. Based on the task-technology fit (TTF) model and the value-based adoption model (VAM), the present study examined…

The rapid adoption of generative artificial intelligence (AI) chatbots, particularly ChatGPT, among university students reflects significant changes in the teaching and learning process. This study examines the usage patterns, motivations, and attitudes of 974 university students who use generative chatbots in academic settings. Results indicate…

Generative AI technologies are rapidly transforming educational practices, creating both opportunities and challenges for teacher-preparation programs. As these advanced tools become increasingly prevalent in classrooms, understanding the factors that influence pre-service teachers' acceptance and adoption of such technologies has become…