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…

In the dynamic landscape of fashion, the integration of Generative Artificial Intelligence technology (GAI) stands as a transformative force. Fashion professionals and students must adapt to this technological shift, recognizing AI's pivotal role in enhancing product development. This paper explores the incorporation of GAI into fashion curricula…

Media literacy empowers students to critically analyze, evaluate, and create media, becoming informed and responsible digital citizens. This Spotlight will help readers guide students when navigating questionable mental health advice; provide readers with strategies to spot AI manipulation; identify how to help bilingual students be media literate…

This article proposes a comprehensive AI curriculum tailored for young learners aged 11 to 14, emphasizing a humanistic approach. We review other AI curricula proposals for children and young people and underline that they focus primarily on AI's technological benefits and on learning coding and logic. Our curriculum explores human cognition that…

After years of development in the background, Artificial Intelligence (AI) has burst onto the global stage thanks to open tools for generating textual, visual, auditory, and audiovisual content. In this emerging context, AI is not only emerging as a technological phenomenon but also as a catalyst for innovation in the artistic and educational…

This study aims to examine the potential differences between teacher evaluations and artificial intelligence (AI) tool-based assessment systems in university examinations. The research has evaluated a wide spectrum of exams including numerical and verbal course exams, exams with different assessment styles (project, test exam, traditional exam),…

Considering the salience of emotions in their work, special educators should think of them as an important source of data to inform and improve their practice. Special educators' emotions and emotional labor are a rich and accessible form of data that can directly inform their delivery of high-quality instruction. Although special educators…

While AI-powered digital platforms are transforming the economy through forms of algorithmic governance that prioritize the automation of work and decision-making, it is critical to ensure that human education remains relevant in the age of machine learning. Unrestricted reliance on artificial intelligence could undermine the entire system of…

Engineering programs must produce graduates who are able to consider multicriteria decisions including ethical implications during engineering practice. Teaching students in a meaningful manner to consider these multifaceted decisions was investigated through the usage of disasters and primary coverage of infrastructure disasters. Students…