Frontiers in Education: Digital Learning Innovations

Online learning and teaching during the COVID-19 pandemic had mixed impacts on students’ accessibility and performance. It benefited the concerned stakeholders, including management, teachers, and the students, to retain in the system, but it reinforced pre-existing discrimination among students from various disadvantaged groups. Studies reveal that the online learning system created an environment that facilitated students’ motive and interest in learning who disengaged themselves from classrooms due to various socioeconomic reasons during the pandemic. The present study explored students’ experience and perception of online learning in Nepal and analyzed the predictors of their interest in participating in the new learning environments. More specifically, it studied how the online modes of learning were associated with the interests of disadvantaged higher education students in their academic pursuits during the COVID-19 pandemic and how online learning impacted the pre-existing discrimination among them. The study generated concepts and variables drawing from the technology acceptance model (TAM) and a review of existing literature. A survey among 324 higher education students and a follow-up interview among nine selected respondents were conducted in Nepal between April and June 2021. The sample represented students from all social classes, genders, financial status, and geographies. Using a logistic regression model of the survey data and thematic analysis of interviews, this study found that compared to others, students from disadvantaged groups were significantly motivated by the online learning system. Their perception of online learning was positive despite the shortcomings of the system, such as the lack of internet infrastructure and the continuous flow of electricity. Students’ motivation toward the online learning system was triggered by their perception, which helped them to retain and continue in the higher education system. Based on the findings, this study concludes that in a developing country like Nepal, where students face social, economic, and geographical challenges in accessing higher education, the online learning system could be an effective alternative to traditional face-to-face learning to minimize pre-existing discrimination.

Collaborative online learning became a necessity for universities during the COVID-19 pandemic. Even though it is known from research that online collaboration is an effective way of learning, digital interaction can be challenging for learners. Group members have to create a high-quality interaction to ensure the success of the collaborative learning process. Based on a theoretical model of collaborative learning, high-quality interaction can be determined with regard to cognitive group activities (prior knowledge activation, transactivity), meta-cognitive group activities (organization of the work process), and relational group activities (group climate, participation and task-related communication). Our study aims to examine how students manage a self-directed collaborative learning setting, how they perceive the process quality of digital interaction and how the interaction quality is related to self-reported outcomes (learning gain and satisfaction). We use a newly developed questionnaire to assess the quality of digital interaction in terms of the aforementioned dimensions. Furthermore, we focus on associations with the beliefs about web-based learning and the ability of perspective-taking at the individual level as well as the sense of community at the group level. We conducted a quantitative study within online university courses that were implemented asynchronously due to the COVID-19 pandemic. N = 298 undergraduate students in teacher education rated the quality of a digital collaborative learning settings (response rate of 72%). The students worked on collaborative tasks autonomously without any guidance from the teacher. We find differences between (meta-)cognitive and relational factors of interaction quality, and differences in the strength of the associations with outcomes and individual and group-related factors. Our study provides insights into students´ collaborative online learning and examines the relationships between different dimensions of group interaction quality and the input and outcome variables. Limitations and areas for further research are discussed.

The widespread use of generative AI tools like ChatGPT has seen significant growth. This rise prompted discussions on integrating these technologies into school education. However, the practical implementation, testing, and assessment of generative AI in primary and secondary education remained largely unexplored. This article examines the application of ChatGPT-3.5 and 4 in primary school education. A study involving 110 students aged 8–14 across grades 4–6 in two Uruguayan schools was conducted. The focus was on using generative AI for dynamic personalization of educational content during classroom lessons. In these sessions, instructional content followed the curriculum goals, and text, illustrations, and exercises were generated and dynamically adjusted based on generative AI. The findings indicate that generative AI effectively tailors school materials to match varying pupil knowledge levels. Real-time adjustments during lessons cater to individual learning needs, enhancing cognitive ergonomics. This approach not only boosts pupil motivation but also improves their performance, facilitating more effective achievement of the curriculum’s learning objectives. These results suggest a promising avenue for leveraging generative AI to personalize and optimize primary school education.

IntroductionStudents pursuing science, technology, engineering, and math (STEM) majors often struggle with essential skills critical to their academic success and future careers. Traditional self-regulated learning (SRL) training programs, while effective, require significant time investments from both students and instructors, limiting their feasibility in large lecture-based STEM courses.MethodsThis study investigates whether completion of three AI-powered virtual-human training modules—focused on planning, self-monitoring, and reflection—leads to increased use of corresponding MS Planner tools among STEM majors compared to a control group.ResultsResults indicate that students who did not complete the first two training modules were less likely to use MS Planner features for planning and self-monitoring; however, the reflection module did not yield comparable results.DiscussionThese findings highlight the potential of AI-powered virtual-human training as a scalable solution to enhance desirable learning behaviors among STEM majors, particularly in large and diverse classrooms. This research contributes to the understanding of effective interventions for fostering SRL behaviors in STEM education and suggests avenues for future refinement and implementation of digital training tools.

Advancements in the generative AI field have enabled the development of powerful educational avatars. These avatars embody a human and can, for instance, listen to users’ spoken input, generate an answer utilizing a large-language model, and reply by speaking with a synthetic voice. A theoretical introduction summarizes essential steps in developing AI-based educational avatars and explains how they differ from previously available educational technologies. Moreover, we introduce GPTAvatar, an open-source, state-of-the-art AI-based avatar. We then discuss the benefits of using AI-based educational avatars, which include, among other things, individualized and contextualized instruction. Afterward, we highlight the challenges of using AI-based educational avatars. Major problems concern incorrect and inaccurate information provided, as well as insufficient data protection. In the discussion, we provide an outlook by addressing advances in educational content and educational technology and identifying three crucial open questions for research and practice.

This mini review provides a concise overview of recent developments in mobile-assisted vocabulary learning (MAVL) and compares its effectiveness to traditional methods in English as a Foreign Language (EFL) settings. The review synthesizes findings from recent empirical studies, highlighting how MAVL, particularly digital flashcards, promotes learner autonomy, engagement, and long-term vocabulary retention through features like spaced repetition and gamification. Traditional methods such as paper flashcards, while effective in structured classroom settings, lack the interactive and personalized benefits of MAVL. The review also discusses existing research gaps, including the need for further investigation into productive vocabulary use and long-term retention. Future developments in the field may include hybrid approaches that combine the strengths of both traditional and digital methods. This review aims to provide language teachers and researchers with an up-to-date understanding of MAVL and its potential to enhance EFL vocabulary acquisition.

In the ever-evolving landscape of educational technology, it is vital to understand the empirical relationships of teachers' Technological Pedagogical and Content Knowledge (TPACK) and its interplay with explanatory factors such as cyber wellness, school climate, and digital nativity. This study employs Covariance-Based Structural Equation Modeling (CB-SEM) to analyze self-reported data from 311 basic education teachers in Central Visayas, Philippines. The model demonstrates robust validity and reliability, showing diverse direct impacts on the antecedent variables to the seven constructs of TPACK. The findings reveal 16 significant hypothesized paths, with digital nativity has a significant effect on all three core knowledge domains of TPACK while school climate and cyber wellness have a significant effect on two knowledge domains. Another significant finding shows that content knowledge emerged with the highest significant effect on technological content knowledge (β = 0.621). This connection highlights the fundamental role of content knowledge in successfully integrating technological competencies among teachers, especially from a developing economy. The study provides policy insights tailored to post-pandemic educational management.

The increased access to artificial intelligence (AI) applications has made it possible to develop more engaging and complex educational activities for students in different disciplines. This research explored expanding university students’ knowledge of scientific entrepreneurship skills using an Artificial Intelligence application. The students participated in a training experience using the conversational ChatGPT language model to generate narrative scripts for various topics on scientific discoveries and technological advances to create new products or services that offer cost-effective solutions based on science. The experience was designed employing the i4C model (identify, ideate, invent, inform). The study used a two-sample design with repeated measurements based on a pre-test and post-test. One hundred five graduate students from two master’s degree programs at the Bolivarian University of Ecuador participated during the 2022–2023 academic period. The results indicate that the students notably improved in acquiring the knowledge necessary for scientific entrepreneurial skills. The study concluded that applying AI ChatGPT with a narrative scripting strategy can create new learning opportunities for students.

Online education has become an integral part of everyday life. As one form of online education, traditional Massive Open Online Courses mostly rely on video-based learning materials. To enhance accessibility and provide more variety of the learning content, we studied how podcasts can be integrated into online courses. Throughout three studies, we investigated the acceptance and impact of podcasts made available to learners on the online education platform openHPI. Throughout the studies we applied different methodologies, such as a Posttest-Only Control Group study, and a Static-Group Comparison. In the initial two studies, we identified that podcasts can serve as reasonable addition to MOOCs, enabling additional learning just as well as videos, and investigated the optimal podcast design for our learners. In one of our six-week courses on cybersecurity with more than 1,500 learners, alongside the third study, we identified that consuming an additional podcast can increase learning outcomes by up to 7.9%. In this manuscript, we discuss the applied methodologies and provide reasoning behind design decisions concerning, e.g., the podcast structure or presentation to be taken as inspiration for other educators.

IntroductionStudents in U.S. rural schools experience lower educational outcomes than their urban peers related to social determinants of health such as under resourced schools, shortages of qualified teachers and staff, and high poverty levels. Geographic, social, or professional isolation in rural communities can compound these disparities by contributing to high turnover of educators and staff. Virtual communities of practice (VCoPs) can address the needs of individuals in remote and rural communities. However, it is critical to understand if VCoPs meet rural school staff needs to support their students. Wenger’s Community of Practice (CoP) framework and the Project ECHO model for VCoPs guided this descriptive, qualitative arm of our study to explore experiences of school staff participating in VCoPs through Project ECHO.MethodsThirteen ECHO for Education participants joined virtual focus groups to discuss their experiences and perspectives of VCoPs. Interview transcripts were inductively coded using the CoP framework with enhanced rigor through audit trails and member checking.ResultsFour predominant themes emerged from the interviews: 1) belonging/connected with others; 2) reduced sense of isolation; 3) exchange of new ideas/knowledge; and 4) sense of collaboration. Participants described how the VCoP they participated in resulted in positive professional and personal experiences including the support offered in context of working in rural schools during the COVID 19 pandemic.DiscussionVCoPs can establish supportive professional networks for rural school staff working with students in under-resourced settings. Our theoretically-grounded results substantiate VCoP development as a systems-level approach to facilitate professional collaboration, mitigate staff turnover, diminish professional isolation, and support students in rural communities.

In the next 5 years, artificial intelligence (AI) tools are expected to become commonplace in people’s lives, especially in their work processes. Therefore, educational institutions feel intrinsically responsible for ensuring that their students acquire and develop competences associated with the appropriate use of this technology in their educational programs. However, what are the perceptions of students regarding the inclusion of artificial intelligence tools in their educational process and future careers, and what competencies can influence a greater adoption of this technology in the classroom? The objective of this article presents the results of an exploratory study in a sample population of students from a technological university in Mexico, in which their perception and openness toward the training and use of artificial intelligence tools for their professions was examined. Their perception of the development of complex thinking and its sub-competencies was evaluated, recognizing that complex thinking is a valuable cognitive skill to face changes in uncertain environments. The methodology of the study consisted of a multivariate descriptive statistical analysis using R software. The results determined a positive correlation between students’ perceived improvement in the achievement of complex thinking competence and their perception of the use of AI tools. In conclusion, participants perceived the use of these tools as a feature of their profession, although they questioned whether this knowledge is included in their professional training. This article presents several findings that offer ample opportunities for future research.

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.