The application of artificial intelligence in physical education (AIPE) has provided new ways to improve learning and teaching activities in physical classes. However, literature reviews that provide a systematic review and analysis of AIPE are limited. To address this gap, this study provided an overview of AIPE-related empirical research.…

Background Study: Technology-supported learning environments, act as significant observational and enabling indicators for evaluating and encouraging the digital revolution of education, are of vital importance in current educational research. Keeping track of the dynamics of technology-supported learning environment research allows for the…

Artificial intelligence (AI) in higher education is a complex issue that can be discussed from many different perspectives. There is currently a great need for ethical discussions about the use of AI in universities. For example, educational researchers and teachers are already talking a lot about fairness, accountability, transparency, bias,…

Mobile learning (M-learning), ChatGPT and social media are integral to university education, improving accessibility, personalization and interactive engagement in the learning process. This paper aimed to investigate the role of M-learning, ChatGPT and social media in university students' academic performance. It was a cross-sectional…

In this meta-analysis study, it was aimed to examine the perceptions of distance education and the effect size of technology usage competencies by using meta-analysis method. In the meta-evaluation carried for this purpose, twenty-eight studies that met the criteria for inclusion in the research were reached. By combining these studies, 11.797…

Recent developments in technology have contributed to the reshaping of the practice of foreign language education. Among those, even though generative artificial intelligence (GENAI) is not a recently emerged technology, it has started to become prominent in the field of foreign language teaching. Therefore, it is possible to observe GENAI tools…

This qualitative study interviewed twelve (n=12) instructional design and learning technology leaders from the K12, higher education, nonprofit, and corporate sectors to identify trends and challenges that were impacting their work and the work of their teams. Results included technology trends (e.g., artificial intelligence, augmented and virtual…

The Technology Acceptance Model (TAM), proposed by Fred Davis in 1986, is a foundational framework for understanding technology adoption, emphasizing Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) as key determinants of Intention to Use (ITU). While Attitude Toward Using (ATU) was initially central to TAM, it was later omitted in…

This paper presents a case study of two prospective teachers' perturbations and professional development during lesson demonstrations which focused on technology-rich mathematics teaching and learning by analyzing a series of individual and collaborative video-based reflections to support the prospective teachers' learning. Drawing on the…

In recent years, social media such as YouTube, TikTok, and Instagram have become an essential part of the everyday lives of children and young adults. Integrating elements of these social media into higher education may have the potential to enhance situational intrinsic learning motivation through the emotional design and proximity to students'…

In vocational education, cultivating students' ability to deal with real cases is a crucial training objective. The BSFE (i.e., Brainstorming, Screening, Formation, Examination) model is a commonly adopted training procedure. Each stage is designed for guiding students to analyze and find solutions to handle real cases. However, as one teacher is…

This bibliometric analysis offers a comprehensive examination of AIbased feedback tools in education, utilizing data retrieved from the Web of Science (WoS) database. Encompassing a total of 239 articles from an expansive timeframe, spanning from inception to February 2024, this study provides a thorough overview of the evolution and current state…

In this article, the authors drew on conceptual frameworks of justice-oriented technology and inquiry pedagogy to explore the question, "How can teacher educators teach and best prepare their own students (preservice and in-service teachers) to teach about justice-oriented technology pedagogy?" The authors provide an example for teacher…

Contributions: To address the interpretability issues in artificial intelligence (AI)-powered classroom discourse models, we employ explainable AI methods to unpack classroom discourse analysis from deep learning-based models and evaluate the effects of model explanations on STEM teachers. Background: Deep learning techniques have been used to…

A new undergraduate thin-layer chromatography laboratory experiment devoted to quantitative determination of disulfiram in Anticol formulation is presented. The proposed activity can be a part of a chromatographic methods of analysis course as well as a general chemistry course. To carry out a quantitative analysis, an image analysis technique was…