Frontiers in Education: Digital Learning Innovations

In recent years, the use of game-based learning platforms has gained significant attention in educational settings for their potential to enhance student engagement and learning outcomes. This paper examines the effectiveness of Kahoot!, a game-based student response system, in an online French as a foreign language course. The study aims to assess how students perceive Kahoot! across three academic terms. A mixed-methods approach was used, combining quantitative data from structured questionnaires with qualitative insights from open-ended questions. This provided a comprehensive view of student perceptions and experiences with Kahoot!. The findings show consistently high student enthusiasm and engagement with Kahoot! across the three terms. Most students strongly agreed that Kahoot! positively impacted their learning, with high mean scores and low standard deviations reflecting widespread consensus. However, some students showed variations in competitive motivation, and minor technical challenges were noted. Overall, the study underscores Kahoot!’s sustained effectiveness in improving student engagement and learning in online French courses. Despite variations in motivation and some technical issues, the tool was largely seen as beneficial. This research adds to the growing evidence of the value of game-based learning tools in online education, particularly for foreign language instruction.

Education is one of the many sectors in which augmented reality has been successfully implemented. To determine how Augmented Reality (AR) supports education, this bibliometric study analyzes 1734 articles extracted from the Scopus database between 2010 and mid-2023. The study aimed to determine patterns in productivity, authorship and collaboration patterns, publications, citation structures, general research tendencies, and bibliographic coupling. Biblioshiny and VOSviewer were employed in this investigation. The outcomes of the study indicate an ongoing trend of increasing publication counts or more contributions since 2016, and still a trending topic studies on interactive learning environments and AR in education and knowledge constitute niche areas, while epidemiology, science education, and mobile augmented reality are important research topics that were underdeveloped and indicate a relationship that is both emerging and declining, based on a thematic analysis of the papers. Furthermore, the outcomes demonstrate that the USA, Spain, and the United Kingdom have the strongest global cooperation despite the USA writing more articles. To offer an ideal road map for scholars who would like to carry out research in this area, this paper also looks at the trendsetting in augmented reality in education.

IntroductionIn recent years, educational institutions worldwide have increasingly embraced technology as a means of enhancing the learning experience and adapting to the demands of the modern era. This trend toward digital transformation has become even more pronounced in the wake of the COVID-19 pandemic, which necessitated a rapid shift to remote learning modalities. Learning Management Systems (LMS) have emerged as crucial tools for educational continuity, enabling institutions to deliver course materials, facilitate communication, and manage student progress in virtual environments. However, the success of LMS implementation varied among educational institutions, with some achieving seamless transitions while others encountered challenges stemming from students' reluctance to fully embrace the technology. This paper contributes to the understanding of LMS adoption in higher education institutions in Dubai, UAE, by proposing a comprehensive model based on the Technology Acceptance Model (TAM) and enhanced with modern factors that fit the nature of virtual learning.MethodsEmploying a quantitative research approach, the study utilized the main structure of the Technology Acceptance Model (TAM) to propose an enhanced version of factors that might influence students' acceptance of online learning management systems. To collect the necessary data, a self-administered survey questionnaire was distributed to 500 students, ensuring a comprehensive dataset for analysis. The analysis was conducted using Partial Least Square Structural Equation Modeling (PLS-SEM), a robust statistical technique suitable for complex models with latent variables. This method allowed the researchers to empirically validate the proposed model, assessing the impact of various modern factors tailored to the nature of virtual learning environments.ResultsThe study's empirical findings revealed several significant factors influencing students' intentions to use LMS, including personal innovation, perceived utility, system quality, service quality, and information quality. While system quality encompasses the technical aspects and functionalities of the LMS, information quality focuses on the relevance, accuracy, completeness, and timeliness of the system's content.DiscussionThese insights provide valuable guidance for educational institutions in Dubai and beyond, offering actionable recommendations for optimizing LMS implementation strategies to enhance student engagement and educational outcomes in the digital learning landscape.

ObjectiveThis systematic review aims to synthesize current knowledge on integrating immersive technologies, namely Virtual Reality (VR) and Augmented Reality (AR), in Science, Technology, Engineering, Mathematics (STEM) education, and to lighten their impact on student performance and engagement.MethodsAdhering to PRISMA guidelines, a detailed search strategy across Scopus and Web of Science databases identified relevant peer-reviewed journal articles published from 2002 to 2023. The PICOS approach informed our inclusion criteria, focusing on empirical studies that assessed the application of VR and AR technologies in Science, Technology, Engineering, Mathematics (STEM) educational settings. Studies were evaluated for methodological quality, and data extraction was meticulous, with variables categorized as engagement, performance, or a combination of both.AnalysisA descriptive and statistical analysis using chi-square tests was employed to examine the relationship between the type of technology (AR, VR, XR, MR) and the educational outcomes. This quantitative assessment provided a nuanced understanding of the interplay between various immersive technologies and their pedagogical effectiveness.ResultsOut of 143 initially identified articles, 22 met the inclusion criteria for detailed analysis. Findings revealed that AR was the most studied technology, followed by VR. Most studies reported positive effects on student engagement and performance, with increased effectiveness being less frequently observed. A notable portion of the studies specifically investigated the combination of performance and engagement, underscoring the multifaceted benefits of immersive technologies in education.ConclusionsImmersive technologies are reshaping STEM education by enhancing engagement and performance. Integrating VR and AR offers promising educational benefits, including improved comprehension of complex concepts, increased student motivation, and enriched collaborative learning experiences. However, the field requires a globally inclusive and adaptable framework for rapid technological evolution and diverse educational contexts. Future research should broaden its scope to include multilingual literature and non-traditional academic channels, ensure ethical standards are upheld, and focus on personalization and adaptability to maximize the educational potential of these technologies.

IntroductionThere is a growing concern about the threat of distractions in online learning environments. It has been suggested that mindfulness may attenuate the effects of distraction. The extent to which this translates to academic performance is under investigation. We aimed to investigate the relationship between task-irrelevant visual distraction, time pressure, and mindful self-regulated learning in the context of a low-stake computer-based assessment.MethodsThe study sampled 712 registered users of Prolific.co who were prescreened, current undergraduate university students. After data quality screening, 609 were retained for analyses. A 2 × 2 between-subjects design was used. Participants were randomly assigned to the following groups: (1) a control condition, (2) a distract condition, (3) a time pressure condition, or (4) a distract and time pressure condition. All participants completed reading comprehension questions, demographic questions, and the Mindful Self-Regulated Learning Scale.ResultsPresenting a visual distraction increased self-reported distraction and having a clock present increased self-reported time pressure. The distraction did not have a statistically significant effect on test performance. Mindfulness was negatively correlated with test performance, self-reported distraction, and self-reported time pressure.DiscussionContinuous task-irrelevant visual distractions may not be distracting enough to influence low-stakes testing performance, but they do influence self-perceptions.

IntroductionDigital competencies are increasingly recognized as a fundamental pillar in the professional development of educators, particularly in Higher Education, where the integration of educational technologies is crucial for enhancing teaching and learning processes.MethodsThis study assessed the digital competencies of faculty at the Technical University of Manabí using a descriptive, non-experimental approach with a sample of 279 professors. Data collection was conducted through a quantitative multimodal design utilizing the Higher Education Digital Competencies Assessment Questionnaire (CDES). The data were analyzed using a structural equation model in AMOS software.ResultsThe findings revealed a significant correlation between faculty members' perceptions and the evaluated dimensions. However, the analysis identified discrepancies in the goodness-of-fit indices, suggesting the need for adjustments in the model.DiscussionThe study underscores the importance of ongoing evaluation and optimization of the structural model to refine the integration of digital competencies. It demonstrates the potential of these competencies to enrich teaching practices and concludes that continuous validation and adjustment of the model are essential to align faculty perceptions with their actual digital competencies.

IntroductionThis study explores the motivators to use learning management systems (LMS) adopted and used in eLearning by Hong Kong universities among Mainland Chinese postgraduate students amid COVID-19 pandemic.MethodsAn adapted and extended UTUAT2 model was first proposed and tested using the structural equation modeling approach. Through self-report online questionnaire, data were collected in 2022 from 352 Mainland Chinese postgraduate students of nine universities in Hong Kong. The reliability and validity of the data were tested using the confirmatory factor analysis, followed by path analysis to test the hypotheses in the proposed model.ResultsThe study revealed nine motivators which explained 50% of the variance in LMS use intention. Trust (0.204), instructor characteristics (0.202), performance expectancy (0.181), and facilitating conditions (0.181) were identified as strong motivators of behavioral intention. Other factors such as effort expectancy (0.148), learning value (0.118) and social influence (0.115) also had significant positive effects on LMS use intention. Habit (0.014) and hedonic motivation (−0.016) had no significant direct effect on it.DiscussionThese findings provide inspirations for educational stakeholders to promote the acceptance of LMS platforms among distance and online learners who adopt the cyberspace as the only means of learning. They also offer insights about instructor recruitment and evaluation methods.

IntroductionThough technologies for individualization appear to benefit primary school students’ learning, studies suggest that their integration remains sparse. Technology acceptance research has largely focused on exploring teachers’ general acceptance of educational technologies, although factors might predict usage intentions differently depending on the specific usage purpose of an educational technology. Digital learning platforms for individualized practice are comparably challenging and complex to use and so far, predictors of primary school teachers’ intention to integrate such technologies into lessons are largely unknown. Meanwhile, research on teachers’ technology acceptance generally lacks comparability due to the absence of a shared theoretical model and usage purpose specification.MethodsIn a sample of 272 German primary school teachers, this study aims to identify predictors of teachers’ acceptance of digital learning platforms for students’ individualized practice in consideration of the unified theory of acceptance and use of technology (UTAUT). To ensure a shared understanding, teachers were provided with a video which specified the addressed usage purpose. Regarding teachers’ usage intention, the explanatory power of the standard UTAUT predictors was investigated and compared with an extended UTAUT model accounting for seven additional context-specific predictors.ResultsThe standard UTAUT significantly explained teachers’ usage intention, with performance expectancy, effort expectancy, and the availability of the necessary technical infrastructure showing significant associations with intention. However, neither a significant nor meaningful increase in explained variance was observed for the extended UTAUT model.DiscussionResults suggest that the standard UTAUT model is sufficient in explaining teachers’ usage intention and that its extension by context-specific predictors provides no added value. Acceptance facilitating interventions should therefore target performance and effort expectancy as well as the availability of technical infrastructure. Thus, underlining that successful implementation of complex educational technologies should consider both, individual and structural factors.