Gamification, characterized by the integration of game design elements into non-game environments, has gained popularity in classrooms due to its potential for increased engagement and enjoyment compared to traditional lecture-based teaching methods. While students generally exhibit positive attitudes towards gamification, its impact on academic achievement remains a subject of debate. This study employed a meta-analysis approach to examine the overall influence of gamification on students' academic performance. The sample comprised 22 experimental studies conducted between 2008 and 2023, comparing the effects of gamified and non-gamified classes. Utilizing a random effects model, the results revealed a moderately positive effect of gamification on student academic performance (Hedges's g = 0.782, p < 0.05). The paper further discussed the outcomes of various moderator analyses, providing valuable insights into the selection and utilization of game design elements, as well as considerations specific to different educational stages.
Single-case experimental designs (SCEDs) may offer a reliable and internally valid way to evaluate technology-enhanced learning (TEL). A systematic review was conducted to provide an overview of what, why and how SCEDs are used to evaluate TEL. Accordingly, 136 studies from nine databases fulfilling the inclusion criteria were included. The results showed that most of the studies were conducted in the field of special education focusing on evaluating the effectiveness of computer-assisted instructions, video prompts and mobile devices to improve language and communication, socio-emotional, skills and mental health. The research objective of most studies was to evaluate the effects of the intervention; often no specific justification for using SCED was provided. Additionally, multiple baseline and phase designs were the most common SCED types, with most measurements in the intervention phase. Frequent data collection methods were observation, tests, questionnaires and task analysis, whereas, visual and descriptive analysis were common methods for data analysis. Nearly half of the studies did not acknowledge any limitations, while a few mentioned generalization and small sample size as limitations. The review provides valuable insights into utilizing SCEDs to advance TEL evaluation methodology and concludes with a reflection on further opportunities that SCEDs can offer for evaluating TEL.
Deep neural networks are increasingly employed to model classroom dialogue and provide teachers with prompt and valuable feedback on their teaching practices. However, these deep learning models often have intricate structures with numerous unknown parameters, functioning as black boxes. The lack of clear explanations regarding their classroom dialogue analysis likely leads teachers to distrust and underutilize these AI-powered models. To tackle this issue, we leveraged explainable AI to unravel classroom dialogue analysis and conducted an experiment to evaluate the effects of explanations. Fifty-nine pre-service teachers were recruited and randomly assigned to either a treatment (n = 30) or control (n = 29) group. Initially, both groups learned to analyse classroom dialogue using AI-powered models without explanations. Subsequently, the treatment group received both AI analysis and explanations, while the control group continued to receive only AI predictions. The results demonstrated that teachers in the treatment group exhibited significantly higher levels of trust in and technology acceptance of AI-powered models for classroom dialogue analysis compared to those in the control group. Notably, there were no significant differences in cognitive load between the two groups. Furthermore, teachers in the treatment group expressed high satisfaction with the explanations. During interviews, they also elucidated how the explanations changed their perceptions of model features and attitudes towards the models. This study is among the pioneering works to propose and validate the use of explainable AI to address interpretability challenges within deep learning-based models in the context of classroom dialogue analysis.
A 360-degree video offers a novel visual experience for education. This immersive experience not only amplifies students' engagement and curiosity but also assists them in delving into and comprehending intricate concepts from a multitude of viewpoints. Given its novelty, there is a relative shortage of studies on 360-degree video's overall effectiveness in education. This study conducted a meta-analysis of 49 peer-reviewed articles. Utilizing a random-effects model to compute effect sizes (ES), the results showed that 360-degree videos have a moderate impact on both learning (Hedges' g = 0.525) and non-cognitive outcomes (Hedges' g = 0.527), with notable heterogeneity observed across the studies. Furthermore, the studies were coded to examine the moderating effects of their characteristics, such as the level of education, the field of education, the display types, experimental design, the sample size and the control treatment. The findings suggest a medium effect of 360-degree videos on knowledge acquisition and a smaller effect on task performance. In terms of non-cognitive outcomes, the least impact was noted in the domain of social and emotional qualities, while the most significant impact was in attitudes and beliefs. Based on these findings, the study proposed future research directions focusing on enhancing teaching strategies and improving research designs concerning the use of 360-degree videos in educational contexts.
Adaptive learning technologies are closely related to learners' self-regulatory processes in individual and collaborative learning. This study presents the outcomes of a systematic literature review of empirical evidence on adaptive learning environments to foster self-regulation and shared regulation of learning in collaborative settings. We provide an overview of what and how adaptive technologies have been used to understand and promote self-regulated learning in collaborative contexts. A search resulted in 38 papers being analysed. Specifically, we identified the seven main objectives (feedback and scaffolding, self-regulatory skills and strategies, learning trajectories, collaborative learning processes, adaptation and regulation, self-assessment, and help-seeking behaviour) that the adaptive technology research has been focusing on. We also summarize the implications derived from the reviewed papers and frame them within seven thematic areas. Finally, this review stresses that future research should consider developing a converging theoretical framework that would enable concrete monitoring and support for self-regulation and socially shared regulation of learning. Our findings set a baseline to support the adoption and proliferation of adaptive learning technology within self-regulated learning research and development.
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This study investigates a virtual reality (VR) cross-cultural interactive learning environment that combines a 360-degree video camera for content creation, a viewing tool, and a video conference platform for real-time interaction. This environment aims to address the limitations of traditional 360-degree VR tools, particularly in enabling simultaneous, interactive engagement among multiple users. The study recruited 31 university students from China and Indonesia utilizing convenience sampling to test the efficacy of the environment in fostering cognitive development and challenging cross-cultural stereotypes. The methodology included analysing student-created content, questionnaire responses, and insights from semistructured interviews. The analysis, grounded in a cognitive development taxonomy and an assessment of stereotype changes, revealed that the students reached the “remember” and “understand” cognitive levels. Additionally, prevalent stereotypes held by the students were addressed. The immersive nature of the VR environment and the interactions with foreign peers were highly appreciated, significantly contributing to cognitive growth and stereotype mitigation. These findings offer valuable insights for educators and researchers in technology-assisted cross-cultural education, emphasizing the importance of designing interactive VR-based activities that effectively facilitate cognitive development and address cross-cultural stereotypes.
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