The release of ChatGPT in 2022 has generated extensive speculation about how Artificial Intelligence (AI) will impact the capacity of institutions for higher learning to achieve their central missions of promoting learning and certifying knowledge. Our main questions were whether people could identify AI-generated text and whether factors such as…

This conceptual article examines the role of team-building in outdoor learning, reviews group development theory in relation to teamwork, and outlines the Behaviour Analysis model as a tool to facilitate team-building. Working with this foundation, the theory and model are combined with discussion about team, leader, and facilitator behaviours at…

Course planning is essential for academic success and the achievement of personal goals. Although universities provide course syllabi and curriculum maps for course planning, integrating and understanding these resources by the learners themselves for effective course planning is time-consuming and difficult. To address this issue, this study…

Background: Education researchers typically estimate average program effects with regression; if they are interested in heterogeneous effects, they include an interaction in the model. Such models quantify and infer the influences of each covariate on the effect via interaction coefficients and their associated p-values or confidence intervals.…

Background: Despite the usefulness of systematic reviews and meta-analyses, they are time-consuming and labor-intensive (Michelson & Reuter, 2019). The technological advancements in recent years have led to the development of tools aimed at streamlining the processes of systematic reviews and meta-analyses. Innovations such as Paperfetcher…

Artificial Intelligence (AI) yields tremendous opportunities for educational leaders who are forward-thinking, adaptable, updated, and aligned with new technologies (Milton & Al-Busaidi,2023). AI necessitates leaders, particularly those leaders in educational domains, to undergo significant paradigmatic shifts in their cognitive frameworks,…

The rapid advancement of artificial intelligence (AI) has outpaced existing research and regulatory frameworks in higher education, leading to varied institutional responses. Although some educators and institutions have embraced AI and generative AI (GenAI), other individuals remain cautious. This systematic literature review explored teaching…

This paper explores the integration of Generative Artificial Intelligence (GAI) into peer feedback in English as a Foreign Language (EFL) writing class as a collaborative companion, aiming at enhancing peer feedback engagement and improving overall writing ability. This study first proposes a framework for integrating GAI in peer feedback,…

The Human-focused Facilitation (HFF) program was evaluated to provide evidence of the effectiveness of the processes used to build facilitator knowledge, skills, and dispositions. This study used an explanatory sequential, mixed-methods design to analyze data from Human-focused Facilitation participants and a focus group that did not participate…

The COVID-19 pandemic was an unprecedented event in modern educational history that resulted in a dramatic upheaval of the traditional school system. The shift from brick-and-mortar to virtual instruction resulted in profound anxiety and demand (Kush et al., 2021). As the quarantine ended, the return to the physical classroom brought with it new,…

Queering' questions, unlearns, disrupts, and transforms approaches, expectations, and realities. Futures are time and change. The approach I have designed to operationalize Queering and futures, or Queering futures, is the Queering Futures Framework (QFF). The Queering Futures Framework (QFF) is a brand-new transdisciplinary research framework…

Shifting doctoral contexts disrupt conventional doctoral educational practice. A research development framework is thus necessary; one that can advance quality research but also enhance skills for social impact beyond the qualification. The doctoral intelligence framework has been conceptualised to provide a map of the doctoral terrain and…

Purpose: The current research study aims to examine the application feasibility and impact of artificial intelligence (AI) among higher educational institutions (HEIs) in talent acquisitions (TA). Design/methodology/approach: A systematic sampling method was adopted to collect the responses from the 385 staff working across the various levels of…

Artificial intelligence (AI) has been evolving since the mid-twentieth-century when luminaries such as Alan Turing, Herbert Simon, and Marvin Minsky began developing rudimentary AI applications. For decades, AI programs remained pretty much in the realm of computer science and experimental game playing. This changed radically in the 2020s when…

The insertion of Machine Learning (ML) in everyday life demonstrates the importance of popularizing an understanding of ML already in school. Accompanying this trend arises the need to assess the students' learning. Yet, so far, few assessments have been proposed, most lacking an evaluation. Therefore, we evaluate the reliability and validity of…