Search Results (1,893)

Artificial intelligence (AI) has reshaped contemporary approaches to teaching, assessment, and feedback. Most AI systems provide reactive feedback, offering instant answers that reduce learners’ cognitive engagement and sense of agency. In contrast, Mili was developed as a proactive pedagogical intelligence that asks guiding questions and encourages learners to construct their own responses. Through this design, feedback becomes a process of learning rather than an evaluative mechanism. Mili is a Hebrew-language educational chatbot grounded in principles of dialogic feedback, pedagogical mediation, and literacy resilience. Its goal is to create a metacognitive literacy dialogue in which questions replace answers and learning becomes an act of reflection and self-inquiry. The development followed a Design-Based Research approach involving iterative cycles of design, training, and testing. At each stage, pedagogical prompts were crafted to simulate authentic teacher–learner dialogue, including clarifying questions, pedagogical delay, and emotional reinforcement. This process enabled an exploration of how AI can mediate feedback that stimulates deeper cognitive engagement. The resulting model demonstrates proactive dialogic feedback in which AI does not simply respond but initiates reflective dialogue. Simulated interactions with Mili reveal how such feedback supports the three dimensions of literacy resilience: linguistic-cognitive, metacognitive, and emotional. Mili represents a conceptual shift in AI-based feedback, moving from response to process, from outcome to mediation, and from reactive AI to learning-generative AI. The study makes a theoretical contribution by articulating a model of pedagogically mediated AI and a practical contribution by developing a feedback tool that fosters inquiry, reflection, and literacy resilience in learners and teachers. Full article

Background/Objectives: Adolescence is pivotal for establishing dietary habits; however, school-based nutritional education remains focused on information dissemination, with minimal effects on behavior modification. Evidence from neuroscience, education, and food literacy indicates that attention, engagement, sensory experiences, and social contexts are integral to effective learning in nutrition education. This article conceptualizes a framework for adolescent food education beyond knowledge transmission, aiming to cultivate taste competence using the Mediterranean Diet as a pedagogical ecosystem. Methods: This study employed a conceptual methodology, utilizing interdisciplinary literature from food literacy, sensory education, developmental neuroscience, educational theory, and public health nutrition. It synthesizes empirical findings and theoretical models to develop the Teaching Autonomous Sensory Taste in the Mediterranean Diet (TASTE–MED) framework. Results: This study introduces taste competence as a multifaceted educational outcome, encompassing sensory, relational, cultural, and reflective dimensions. The TASTE–MED framework outlines how experiential, multisensory, and socially embedded learning processes can be implemented in schools, facilitated by the Mediterranean Diet, which provides a sensory-rich and culturally significant context. The educational implications are discussed in terms of curriculum design, teacher training, family involvement and digital tools. Conclusions: The TASTE–MED framework redefines food literacy as an embodied and socially situated competence rather than a cognitive construct. This framework provides a theoretical foundation for informing the design, evaluation, and research of future interventions, advocating for the transition from information-based nutrition education to competence-oriented food education during adolescence. Full article

Self-regulated learning (SRL) is a critical competency for learners in increasingly technology-enhanced educational environments, yet little is known about how SRL is fostered within video-based interventions in K-12 settings. While existing reviews and meta-analyses focus on the effectiveness of SRL interventions, this study aims to address current gaps by specifically examining the implementation processes, instructional tools, and the role of video. Addressing this, the present study conducted a systematic literature review of peer-reviewed K-12 intervention studies published since 2010, guided by PRISMA standards and other methodological frameworks in the field of SRL. 30 quantitative or mixed-methods studies focusing on K-12 SRL interventions were selected from Web of Science and ERIC, with the requirement that video served as an instructional component rather than a research tool. These studies were then systematically coded by eight researchers for SRL strategies, instructional methods, video roles, and pedagogical settings. Findings show that most video interventions targeted multiple SRL strategies across different phases of the SRL cycle, offering a comprehensive approach to fostering regulation. However, while cognitive and metacognitive strategies were frequently addressed, motivational and resource-management strategies were seldom included within explicit instruction, which focused primarily on cognitive and metacognitive training. Video played multiple pedagogical roles, including delivering disciplinary content, teaching SRL strategies, or combining both. A thematic analysis identified four pedagogical settings that characterized successful interventions: Teacher-guided, Active, Social, and Knowledge-based (TASK) learning. These settings appear to mitigate common challenges of video-based learning, such as cognitive load and learner passivity. The review contributes a novel synthesis of SRL-video integration and proposes TASK learning as a framework for designing SRL interventions. Full article

Blockchain technology, with special features of decentralization, immutability, consensus mechanisms, and smart contracts, has been integrated into different areas of digital applications recently. However, its abstract concepts present a steep learning curve for beginners, especially in the absence of online resources that offer dynamic, hands-on learning experiences. In response to this problem, we developed a digital interactive teaching tool using the OwlSpace platform to explain what blockchain truly is in its four core foundational concepts. Interactive operations, guided workflows, and visual simulations are applied in the system to assist the learner in interpreting decentralized architectures, immutability of data interactively, the consensus formation process, and the mechanics behind smart contract operation. The system has also put a focus on conceptual understanding and gamified experiences rather than competitive ones, providing a practical and engineering-focused tool for introductory information engineering students. Full article

Against the dual backdrop of the rural revitalization strategy and the pursuit of high-quality, balanced urban–rural education, optimizing rural campus spaces has emerged as an important lever for addressing educational resource disparities and improving pedagogical quality. However, conventional evaluation of campus space optimization faces two systemic dilemmas. First, top-down decision-making often neglects the authentic needs of diverse stakeholders and place-based knowledge, resulting in spatial interventions that lose regional distinctiveness. Second, routine public participation is constrained by geographical barriers, time costs, and sample-size limitations, which can amplify professional cognitive bias and impede comprehensive feedback formation. The compounded effect of these challenges contributes to a disconnect between spatial optimization outcomes and perceived needs, thereby constraining the distinctive development of rural educational spaces. To address these constraints, this study proposes a novel method that integrates regional spatial feature recognition with digital media-based public perception assessment. At the data collection and ethical governance level, the study strictly adheres to platform compliance and academic ethics. A total of 12,800 preliminary comments were scraped from major social media platforms (e.g., Douyin, Dianping, and Xiaohongshu) and processed through a three-stage screening workflow—keyword screening–rule-based filtering–manual verification—to yield 8616 valid records covering diverse public groups across China. All user-identifying information was fully anonymized to ensure lawful use and privacy protection. At the analytical modeling level, we develop a Transformer-based deep learning system that leverages multi-head attention mechanisms to capture implicit spatial-sentiment features and metaphorical expressions embedded in review texts. Evaluation on an independent test set indicates a classification accuracy of 89.2%, aligning with balanced and stable scoring performance. Robustness is further strengthened by introducing an equal-weight alternative strategy and conducting stability checks to indicate the consistency of model outputs across weighting assumptions. At the scenario interpretation level, we combine grounded-theory coding with semantic network analysis to establish a three-tier spatial analysis framework—macro (landscape pattern/hydro-topological patterns), meso (architectural interface), and micro (teaching scenes/pedagogical scenarios)—and incorporate an interpretive stakeholder typology (tourists, residents, parents, and professional groups) to systematically identify and quantify key features shaping public spatial perception. Findings show that, at the macro level, naturally integrated scenarios—such as “campus–farmland integration” and “mountain–water embeddedness”—exhibit high affective association, aligning with the “mountain-water-field-village” spatial sequence logic and suggesting broad public endorsement of ecological campus concepts, whereas vernacular settlement-pattern scenarios receive relatively low attention due to cognitive discontinuities. At the meso level, innovative corridor strategies (e.g., framed vistas and expanded corridor spaces) strengthen the building–nature interaction and suggest latent value in stimulating exploratory spatial experience. At the micro level, place-based practice-oriented teaching scenes (e.g., intangible cultural heritage handcraft and creative workshops) achieve higher scores, aligning with the compatibility of vernacular education’s “differential esthetics,” while urban convergence-oriented interdisciplinary curriculum scenes suggest an interpretive gap relative to public expectations. These results indicate an embedded relationship between public perception and regional spatial features, which is further shaped by a multi-actor governance process—characterized by “Government + Influencers + Field Study”—that mediates how rural educational spaces are produced, communicated, and interpreted in digital environments. The study’s innovative value lies in integrating sociological theories (e.g., embeddedness) with deep learning techniques to fill the regional and multi-actor perspective gap in rural campus POE and to promote a methodological shift from “experience-based induction” toward a “data-theory” dual-drive model. The findings provide inferential evidence for rural campus renewal and optimization; the methodological pipeline is transferable to small-scale rural primary schools with media exposure and salient regional ecological characteristics, and it offers a new pathway for incorporating digital media-driven public perception feedback into planning and design practice. The research methodology of this study consists of four sequential stages, which are implemented in a systematic and progressive manner: First, data collection was conducted: Python and the Octopus Collector were used to crawl online comment data related to Fuwen Township Central Primary School, strictly complying with the user agreements of the Douyin, Dianping, and Xiaohongshu platforms. Second, semantic preprocessing was performed: The evaluation content was segmented to generate word frequency statistics and semantic networks; qualitative analysis was conducted using Origin software, and quantitative translation was realized via Sankey diagrams. Third, spatial scene coding was carried out: Combined with a spatial characteristic identification system, a macro–meso–micro three-tier classification system for spatial scene characteristics was constructed to encode and quantitatively express the textual content. Finally, sentiment quantification and correlation analysis was implemented: A deep learning model based on the Transformer framework was employed to perform sentiment quantification scoring for each comment; Sankey diagrams were used to quantitatively correlate spatial scenes with sentiment tendencies, thereby exploring the public’s perceptual associations with the architectural spatial environment of rural campuses. Full article

In addition to the transformative impact of learning and instruction on individuals and society, there is also the possibility that cultural, social, and political structures may reshape the educational system. Religious education, as a component of this system, is one of the area’s most susceptible to such influence. Transformations in the field of religious instruction are clearly observable in the lands we inhabit. In the period following the establishment of the Republic of Turkey, religious instruction and women’s learning experiences were addressed as two separate topics. Given the fact that the history of women’s educational participation has followed a distinct developmental trajectory from that of men, this topic could benefit from further discussion and clarification, and its boundaries should be more clearly defined. Individuals who successfully complete higher religious studies are qualified to work as formal and informal religious educators. The fact that graduates of these institutions are employed in formal religious teaching contexts, together with the recent growth in the number of women opting for advanced religious studies, highlights the importance of this topic. Although various studies have addressed religious education and women’s education separately, the sources accessed for this study do not examine women’s learning experiences in the context of higher religious education as a distinct and chronological analytical framework; this constitutes the originality of the present research. In line with this gap, the aim of the study is to describe the learning processes of women in the context of higher religious studies. Accordingly, the fundamental problem of this research is to demonstrate how women’s learning experiences in higher religious education have developed within the historical context and how this change can be interpreted in terms of the relationship between religious education and modernisation. The description has been carried out in chronological order. Here, religious instruction refers to the Islamic faith. The research method employed was qualitative document analysis. This study examines the historical process and reveals how women’s learning experiences have transformed since the emergence of Islam. It is understood that women with similar religious beliefs experienced these educational processes in different ways in different regions. In this context, it is seen that the institutional changes that emerged in the Ottoman Empire during the Tanzimat period had a structure that transformed and differentiated educational institutions. Women’s adaptation to the education system and the qualitative developments in women’s education also took place during this period. With the establishment of the Republic of Turkey, the modernisation efforts that began during the Tanzimat period showed rapid development. The increased visibility of women in higher religious studies led to social and institutional shifts. The study addresses this transformation within the broader framework of religious instruction and modernisation. Full article

Debates are taking place in the higher education literature regarding the changing roles of learning technology professionals and their contributions to the scholarship of teaching and learning (SoTL). Whilst much literature discusses motivations and barriers for these professionals in engaging with SoTL, less attention has been directed towards how such engagement might be nurtured and developed. This paper analyses an intervention project designed as a cross-institutional mentoring scheme which aimed to foster SoTL habits and skills in learning technology professionals. The mentor scholar scheme encompassed a series of online group meetings and one-on-one advisor meetings, involving 22 scholars and 18 advisors over a 12-month period. Data was collected using a range of methods including questionnaires and interviews. Our analysis uses Cultural–Historical Activity Theory to grasp the dynamics of the mentor scholar scheme and derive insights into how learning technology professionals attempt to engage with SoTL in their practice. The scheme developed in ways unanticipated by our original design. Key contradictions in the activity were evident through persistent difficulties for learning technology professionals in identifying as a scholar, finding a place within a broader scholarly community, developing a loyalty to scholarship, and positioning it against longstanding professional priorities. Nonetheless, participants viewed the scheme as successful, and we put forward considerable experience of how to mediate and address these issues. The paper contributes new perspectives on catalysing scholarly identity among professional staff in higher education, highlighting the importance of a scholarly community, understanding scholarship as distinct from professionalism, and suggesting that mentoring must be a relational and adaptive process. Full article

This study aims to identify students’ perceptions of the teaching strategy employed by teachers during the Geography teaching–learning process, given that the experimental group used Google Earth Pro. The research sample consisted of 229 participants. The research methods were surveys and statistical analysis. The research hypotheses were based on the following premises: the use of Google Earth Pro software could influence students’ perceptions differently in terms of its impact on their personal learning experience and the teaching strategy applied in the classroom as a whole; there could be an association between how students perceived Google Earth Pro software and the benefits of this digital tool as a learning aid and as an integral part of the teaching strategy. The research hypotheses were statistically validated using the statistical test for comparing proportions and means and the chi-square test—Pearson’s correlation coefficient. The research results highlighted statistically significant differences between the experimental group (B) and the control group (A) in most components of the teaching–learning–assessment strategy (method, learning tools and teaching resources used, student organization) but also in terms of students’ interest and motivation for learning Geography, the content taught, the targeted skills, and the time allocated by students to preparing for Geography lessons. GEP brings numerous benefits to the teaching–learning process of Geography, having a positive impact on: understanding the content taught, applying what has been learned and transposing it into a new context, making connections with other disciplines, critical thinking, consolidating prior knowledge, and improving STEM knowledge. Full article

The content and career cluster of agriculture, food, and natural resources (AFNR) provides opportunities for K-12 teachers to engage students to solve complex authentic problems that blend science, technology, engineering, and mathematics (STEM), yet limited research has been conducted on how to effectively leverage teaching and learning to integrate STEM using the context of AFNR through the school-based agricultural education program. This conceptual paper was developed through a collaborative sensemaking process focused on systems thinking as a way of knowing to integrate STEM within the contexts of AFNR, utilizing the SBAE program in the United States. A comprehensive career and technical education (CTE) program model of SBAE develops secondary education students’ career readiness skills through classroom and laboratory instruction, leadership development, and supervised agricultural experiences. The literature was reviewed to describe the current status of integrated STEM in SBAE, including learning by doing, solving real-world problems, application of content knowledge in out-of-school and community-based settings, learner-centered pedagogies, and development of career readiness skills for the workforce. By employing systems thinking as the theoretical framework and integrated STEM as a conceptual framework, the authors engaged in collaborative sensemaking of their professional and scholarly experiences and proposed findings and discussion of a three-model framework (i.e., teacher, program, and learning approach) to support integrated STEM education through AFNR and SBAE. Limitations of the framework are also discussed. The AFNR career cluster was used as the context to discuss how the three-model framework (i.e., teacher, program, and learning approach) of integrated STEM through AFNR could be operationalized for SBAE. Discussion and implications of the three-model framework for other career clusters in career and technical education (CTE) and non-formal education in community settings are presented. Conclusions and recommendations are provided for advancing STEM integration in SBAE for teacher development, program development, and research. Full article

Higher education is in a period of change driven by increasing demands for student-centred learning, flexible delivery, and stronger industry relevance. While innovation in course design is widely recognised as essential, academics often face barriers such as limited time, institutional constraints, budget and financial constraints and risk aversion. Building on previous pedagogical and innovation models, this paper presents the enabling innovation framework, developed through an iterative, design-thinking process and grounded in Rogers’ Diffusion of Innovation theory. The framework conceptualises three interconnected modes of innovation: everyday, strategic, and radical. The development of each mode highlights the importance of time and scholarly activity as underpinning concepts of the framework. Everyday innovation involves small, often spontaneous adjustments to teaching practice; strategic innovation is collaborative and aligns with institutional or program-level goals; and radical innovation is transformative, disrupting existing practices to create new cultures of learning. Together, these modes offer multiple entry points into innovation, encouraging academics to engage meaningfully with course design regardless of their level of risk appetite or institutional positioning. By framing innovation as a continuum supported by scholarship, the framework provides educators with a practical scaffold to initiate and sustain pedagogical change. This work argues that enabling innovation at different levels fosters a stronger culture of creativity, adaptability, and quality in higher education teaching and learning. Full article

Digital competence has become a key component of teaching excellence in higher education. This study, from a global framework, presents a bibliometric analysis of scientific production on digital competences in the university context to identify research trends, collaboration networks, and thematic evolution in Latin America. A total of 1985 papers published between 1993 and 2025 in the Web of Science Core Collection were analyzed using a PRISMA-based protocol. The results show exponential growth in publications since 2019, underscoring the global relevance of digital literacy in transforming teaching and learning processes. Spain stands out as a leading country in productivity and impact, supported by consolidated institutional frameworks such as DigComp and DigCompEdu. Keyword analysis reveals a transition from a tech-skills-focused approach to a more holistic perspective that incorporates critical thinking, ethics, and responsible use of emerging technologies, especially artificial intelligence. Although Latin America shows an increase in its contributions, its international visibility remains limited and requires strengthening scientific collaboration. This study provides a broad understanding of the field’s academic structure and outlines strategic directions to advance teachers’ digital competence and promote more inclusive, innovative, and sustainable university systems. Full article

Existing research in extended reality for education emphasizes learning outcomes rather than the process for developing their materials. Design thinking, a method in Research through Design, which often generates artefacts and systems, can help address this limitation. As such, this paper presents a process for developing 360° videos based on the six steps of the design thinking process with a new step for planning. The authors also propose a novel approach emphasizing co-creation and Indigenous Research Values throughout the process, showing respect, and minimizing misinterpretations, appropriations, and weak translations that often result from recording stories. Presented through an example titled ‘Tipi Teachings’, a digital story rooted in Indigenous Knowledge of Engineering, the authors demonstrate how design thinking and co-creation can be applied to digital storytelling, proposing a procedure which aims to provide guidance to future researchers utilizing digital storytelling, minimizing trial and error, and providing an opportunity for researchers to share and document lessons learned. While the proposed process was created within a Canadian Indigenous research context, and centers Indigenous storybasket values, these values require researchers to listen to and build relationships with the community, incorporating their core values, regardless of whether they directly align with the storybasket values, adjusting the process to their specific context. The decolonial design process aligned with design thinking also considers decolonization globally, rather than locally. Full article

The rapid integration of Industry 4.0 technologies into non-computer engineering curricula presents a significant pedagogical challenge: avoiding a “one-size-fits-all” approach. While Project-Based Learning (PBL) is widely advocated for teaching Internet of Things (IoT), little research addresses how students from different engineering branches—specifically Industrial, Environmental, and Electrical—respond to identical technical requirements. This study evaluates the deployment of ESP32-based IoT solutions for local agriculture and beekeeping problems in the Peruvian Andes, analyzing the performance and perception of three distinct student cohorts (Total N = 95). Results indicate a significant divergence in learning outcomes and satisfaction. The cohort predominantly composed of Industrial Engineering students (NRC-33563) demonstrated lower adherence to technical code modularization (88% vs. 97%) and lower overall course recommendation rates compared to the mixed cohorts (NRC-33562/33561), who reported higher engagement with the hardware implementation. These findings suggest that while Environmental and Electrical engineering students naturally align with the sensing and actuation layers of IoT, Industrial engineering students may require a curriculum that emphasizes process optimization and data analytics over raw firmware development. We propose a differentiated pedagogical framework to maximize engagement and competency acquisition across diverse engineering disciplines. Full article

Active methodologies place the student at the core of the teaching–learning process, with the teacher becoming a companion and guide. Among these methodologies, gamification is demonstrating great capacity to attract students and promote interest, being of particular relevance in STEM subjects. While gamification and Project-Based Learning (PBL) have been extensively studied independently, their integration into Vocational Education and Training (VET) computer science courses remains underexplored, particularly regarding approaches where students develop games themselves rather than merely incorporating game elements or playing serious games. This work presents a novel gamified PBL approach specifically designed for VET Programming education, with three distinctive features: (i) students develop a complete game based on graph theory and Object-Oriented Programming, with each student working under personalised conditions and constraints; (ii) a custom-developed software tool that simultaneously serves as a pedagogical scaffold for students to validate their solutions iteratively and as an automated evaluation platform for teachers; and (iii) empirical validation through action-research with first-year VET students, employing mixed-methods analysis including qualitative observations and descriptive quantitative comparisons. The approach was implemented with first-year Web Application Design students in the Programming subject, where students developed a game integrating graph theory algorithms, Object-Oriented Programming, and Markup Language. Despite the small sample size (10 students), qualitative observations and descriptive analysis indicated promising results, and grade distributions were comparable to those in more accessible subjects. Teacher diary observations, follow-ups, and questionnaires documented sustained engagement, peer collaboration, and strategic problem-solving throughout the project phase. These preliminary findings suggest that gamification through game development, particularly when supported by automated tools enabling personalised conditions and iterative validation, represents a promising approach for teaching and learning Programming in VET contexts. Full article

In the present qualitative study, we first synthesize research to clarify the concept of error in science as developed by epistemologists, philosophers, and historians. We also examine the concept of error in educational science, drawing from studies on science learning and teaching. To do this, we analyzed references found through a systematic review of books and journals. We also selected published articles on the history of physics and chemistry and consulted documents authored by scientists in English or in official translations. We guided our selection by choosing sources relevant to conceptualizing error in scientific and educational contexts. Our key findings show two categories of scientific error: those that have contributed to scientific progress and those that have hindered it. Some renowned scientists, such as Aristotle and Buridan, put forward theories of force and movement that were later shown to be false. However, these errors did not always impede scientific advancement. This research highlights how scientific errors have shaped the evolution of science and reveals insights into the scientific process and the resilience of the scientific community. In science education, researchers use various terms such as “student naïve reasoning,” “students’ alternative conceptions,” “students’ alternative theory,” and “misconceptions.” Students’ errors, like scientific errors, can be classified into two categories. The first type involves errors from distractions, misunderstandings, or unintentional mistakes. The second type results from students’ interactions with many natural and man-made phenomena, the common language used in society (which differs from scientific language), and errors passed down by teachers or found in textbooks. Finally, we note that identifying errors among scientists and students supports the development of strategy-based teaching for meaningful science learning. From this perspective, students will be pleased to know that some of their conceptions of force and motion are “similar” to those developed by Aristotle and Buridan, even if these conceptions are false relative to those developed by Galileo and Newton. Recognizing both scientists’ and students’ errors is essential for creating teaching strategies that promote deeper science learning. Full article