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The recent movement to integrate the flipped classroom model into higher education has resulted in significant changes that affected both teaching and learning practices in different ways. After almost a decade of research on the flipped classroom model, different emergent outcomes have been reported in a domain specific context. To gain a comprehensive understanding of the flipped classroom implementation in a university context, a review of the literature on the use of flipped classroom in a university context was conducted. This study was guided by interpreting the previous research findings according to the domain of utilization, opportunities, challenges, and extensions to the conventional flipped classroom model. This study found that the utilization of flipped classroom in various disciplines is mainly advocated to promote students’ engagement, metacognition, attitude, performance, understanding, and achievement, as well as other learning outcomes. The key challenges of this method, shared across all disciplines, were devoted to the length of the video/digital materials and time required for instructors to prepare the learning materials and for students to master it. Recommendations for policy makers and other crucial insights for the future studies were highlighted.

Background Virtual reality (VR) is an innovation that permits the individual to discover and operate within three-dimensional (3D) environment to gain practical understanding. This research aimed to examine the general efficiency of VR for teaching medical anatomy. Methods We executed a meta-analysis of randomized controlled studies of the performance of VR anatomy education. We browsed five databases from the year 1990 to 2019. Ultimately, 15 randomized controlled trials with a teaching outcome measure analysis were included. Two authors separately chose studies, extracted information, and examined the risk of bias. The primary outcomes were examination scores of the students. Secondary outcomes were the degrees of satisfaction of the students. Random-effects models were used for the pooled evaluations of scores and satisfaction degrees. Standardized mean difference (SMD) was applied to assess the systematic results. The heterogeneity was determined by I 2 statistics, and then was investigated by meta-regression and subgroup analyses. Results In this review, we screened and included fifteen randomized controlled researches (816 students). The pooled analysis of primary outcomes showed that VR improves test scores moderately compared with other approaches (standardized mean difference [SMD] = 0.53; 95% Confidence Interval [CI] 0.09–0.97, p  < 0.05; I 2  = 87.8%). The high homogeneity indicated that the studies were different from each other. Therefore, we carried out meta-regression as well as subgroup analyses using seven variables (year, country, learners, course, intervention, comparator, and duration). We found that VR improves post-intervention test score of anatomy compared with other types of teaching methods. Conclusions The finding confirms that VR may act as an efficient way to improve the learners’ level of anatomy knowledge. Future research should assess other factors like degree of satisfaction, cost-effectiveness, and adverse reactions when evaluating the teaching effectiveness of VR in anatomy.

With advances in learning technologies, new pedagogical models are being developed to improve students’ learning performance. One notable model is the flipped classroom, which has attracted the attention of many researchers, particularly in K-12 education. However, research on effective approaches for managing the flipped classroom model to improve mathematics learning is lacking. This study explored approaches to manage the flipped classroom in a Chinese context and designed an approach to improve the mathematical learning performance of middle school students. In a flipped classroom teaching and learning, students took notes while watching videos at home and then teacher utilized the notes for in-class discussion. A total of 88 sixth-grade students in a secondary school in mainland China participated in this study. An experiment was conducted to evaluate the effectiveness of the proposed approach by situating the experimental and control groups in flipped and traditional classrooms, respectively. The results show that the proposed flipped classroom approach significantly improves the students’ mathematical learning performance. The proposed approach is more beneficial to students at the middle mathematics level comparing to those at high or low levels. Furthermore, some suggestions are provided for teachers to manage flipped classroom more effectively.

Artificial Intelligence (AI) technologies have been applied in various domains, including early childhood education (ECE). Integration of AI educational technology is a recent significant trend in ECE. Currently, there are more and more studies of AI in ECE. To date, there is a lack of survey articles that discuss the studies of AI in ECE. In this paper, we provide an up-to-date and in-depth overview of the key AI technologies in ECE that provides a historical perspective, summarizes the representative works, outlines open questions, discuss the trends and challenges through a detailed bibliometric analysis, and provides insightful recommendations for future research. We mainly discuss the studies that apply AI-based robots and AI technologies to ECE, including improving the social interaction of children with an autism spectrum disorder. This paper significantly contributes to provide an up-to-date and in-depth survey that is suitable as introductory material for beginners to AI in ECE, as well as supplementary material for advanced users.

Higher education has been pressured to shift towards more flexible, effective, active, and student-centered teaching strategies that mitigate the limitations of traditional transmittal models of education. Lately, the flipped classroom model has been suggested to support this transition. However, research on the use of flipped classroom in higher education is in its infancy and little is known about student’s perceptions of learning through flipped classroom. This study examined students’ perceptions of flipped classroom education in a last year university course in research methods. A questionnaire was administered measuring students’ ( n  = 240) perceptions of flipped classroom in general, video as a learning tool, and Moodle (Learning Management System) as a supporting tool within the frame of a flipped classroom model. The results revealed that a large majority of the students had a positive attitude towards flipped classroom, the use of video and Moodle, and that a positive attitude towards flipped classroom was strongly correlated to perceptions of increased motivation, engagement, increased learning, and effective learning. Low achievers significantly reported more positively as compared to high achievers with regards to attitudes towards the use of video as a learning tool, perceived increased learning, and perceived more effective learning.

The article addresses the positive and negative implications of the growing spread of chatbots based on large language models (LLMs) on instruction, learning, and assessment in education. It is based on extensive conversations with ChatGPT regarding pedagogy-related issues and relevant documents. Discussed are the challenges of chatbots like ChatGPT to educators—on the one hand, their potential to advance deep learning and the roles of the instructor and the school context in causing it to happen. On the other hand, it underscores the pedagogical drawbacks of improper usage of such chatbots and the instructional practices and school contexts that could escalate learning. Three school-culture components, namely classroom learning, teacher professional learning, and school leadership, are the essential aspects of pedagogical approaches that, in a particular constellation, could enhance and, in another, impede a chatbot’s potential to advance deep learning. The underlying theoretical framework is assessment-driven, contrasting assessment for learning (AfL) and assessment for grading, distinguishing assessment cultures from testing cultures. Patterns of chatbot usage that align with the principles of each culture are discussed. A sample of quotes from the conversations with ChatGPT is presented to support the insights gained from the chatting experience and the conclusions drawn.

Recent years have seen an increase in the use of immersive virtual reality (IVR) technology in education and training. Studies examining the efficacy of IVR-based interventions have shown improved performance compared to traditional training programmes; however, little is known about whether such improvements can be detected at the level of individual cognitive abilities. The present study sought to examine the effect of IVR on memory using an incidental learning paradigm. Undergraduate volunteers viewed a three-minute 360° video clip under immersive and non-immersive conditions—respectively, using a Head Mounted Display (HMD) or a 2D flat screen monitor—followed by a surprise recall task. Although both devices supported active exploration of the scene in 360°, recall was significantly improved for learners in the immersive condition. These findings suggest that IVR has a facilitative effect on cognition, and that learners may naturally engage with IVR-delivered content without any special instruction or preparation.

This study aimed to identify the diversity as combinations of traditional and digital literacy activities in early childhood classrooms and also analyze the relationship between literacy activities and teachers' literacy teaching competencies as well as classroom literacy environments. In a sample of 330 teachers of 3-5 year old children from kindergarten and childcare centers, latent profile analysis revealed four-profile groups: (1) low literacy activity classroom, (2) traditional literacy dominance classroom, (3) digital literacy dominance classroom, and (4) high literacy activity classroom. In addition, classroom literacy activity profile groups can be predicted by literacy teaching competencies in teachers and classroom literacy environments. These results highlight the influence of a high-quality literacy environment and teachers' digital literacy teaching competencies on their classroom's early literacy activity profiles. The study has implications for promoting literacy activities in early childhood classrooms.

Numerous factors contribute to student success in educational settings, with academic support and learning strategies identified as key influences. Existing research highlights that various academic assistance and individual learning approaches shape student success. Although different methods are available for predicting academic achievement, the application of fuzzy logic in this context remains relatively underexplored. This study seeks to address this gap by employing a fuzzy logic model to forecast the exam performance of prospective physical education and sports teachers. Specifically, the study examines how the learning approaches and perceived levels of academic support among these candidates influence their exam outcomes. The results indicate that fuzzy logic provides a viable tool for predicting student success, demonstrating its potential as an alternative to traditional predictive methods. Furthermore, the findings suggest that students’ learning approaches and perceptions of academic support play a significant role in shaping their academic achievements. By integrating fuzzy logic into educational research, this study contributes to a broader understanding of how non-linear and complex interactions between academic support and learning strategies impact student performance. These results highlight the practical potential of fuzzy logic models in identifying at-risk students and designing targeted interventions to improve academic outcomes. Educators and institutions can create more effective and personalised learning environments by fostering deep learning approaches and enhancing academic support systems.

The effective application of spherical video-based virtual reality (SVVR) in writing education depends on teachers’ lesson design, which is deeply influenced by their technological pedagogical and content knowledge (TPACK). However, how teaching conceptions, as the fundamental viewpoint that influences teachers’ teaching focuses, shape their TPACK remains uncertain. This study aimed to explore how teachers’ conceptions shape their TPACK regarding SVVR-supported writing instruction. Twenty-one secondary school teachers participated in this study and conducted one semester of SVVR-supported writing lessons. Data were collected through semi-structured interviews, and the interview transcriptions were analyzed using content analysis to explore the association between the teaching conceptions and TPACK. Teaching conceptions were classified into three orientations, namely skill, community, and identity, to reflect the teachers’ teaching focuses. TPACK was classified into three categories, namely Replacement, Amplification, and Transformation, to indicate the levels of integrating SVVR into the writing lessons. The results showed that teachers with students’ identity-focused conceptions shaped their TPACK at the Transformation level of SVVR integration. Teachers with community-focused conceptions developed students’ emotional connections with people and places through their TPACK for deeper writing. Teachers with skill-focused conceptions, on the other hand, shaped their TPACK at the Replacement level that replaced the existing teaching activities and resources with SVVR to teach students writing skills. The findings suggest that teachers may need to shift the conceptions of writing instruction toward identity orientation to develop transformative TPACK.