Search Results (7,048)

There are numerous ways in which generative artificial intelligence (GAI) can be applied in the teaching and learning process. This paper presents one application in the Business Decision Analysis (BDA) course. BDA is considered as the most challenging course in the Graduate Study Program in Economic Entrepreneurship at the University of Zagreb Faculty of Organisation and Informatics; consequently, the teachers continuously analyse possibilities to make the course more attractive for students. The innovative teaching activity at BDA was implemented as a betting shop during the first colloquium (which accounts for 50% of the overall grade). In the activity, GAI analysed learning management system (LMS) data of students’ results (attendance, self-assessment test results, logs in the system) of the initial (pre-course) test, as well as their results of the pub quiz (activity organised a week before the colloquium as a preparatory activity). GAI analysed all the data and predicted the number of points each student will achieve. Additionally, GAI calculated the risk index, average growth (among self-assessment tests) and learning consistency for each student. Finally, GAI created a message for each student that explained what went well in their learning activity, what could be improved, and included a motivational note for the test. The rule was: if a student achieved a higher result than the GAI predicted, the teacher would buy a chocolate for that student. More than 60% percent of students achieved a higher score than was predicted. Surprisingly, exceeding the expected result was not in correlation with the risk indices determined by the GAI. Cluster analysis identified four student profiles consistent with the correlation results, showing weak overall agreement between the predicted and achieved scores, except in the male subgroup, while higher predicted scores were associated with higher average growth and lower risk indices. Qualitative analysis of the GAI application in teaching yielded positive comments, as students perceived the activity as helpful, motivating, and engaging, and would have liked more similar activities. Full article

Vocational high school students represent a substantial yet understudied population in school-based mental health research. Drawing on positive psychology and bioecological theory, this study examined whether personal growth initiative (PGI) shows a statistical indirect effect with respect to the relationships between multidimensional school climate and mental health outcomes among Chinese vocational students. Participants were 14,006 students from 112 vocational high schools. Two-level path models simultaneously entered different climate dimensions to estimate their unique associations with PGI, depressive symptoms, and Subjective well-being (SWB) at the within- and between-school levels, controlling for gender and socioeconomic status. Within schools, Safety, Interpersonal Relationships, Rules and Norms/Career Development Support, and Teaching and Learning/Diversity were positively associated with PGI, which in turn was associated with lower depressive symptoms and higher SWB. Wald tests indicated that Safety showed the strongest overall association with depressive symptoms, whereas Interpersonal Relationships showed the strongest overall association with SWB. At the between-school level, school-average climate and school-average PGI were associated with both outcomes, although these findings should be interpreted cautiously given the limited between-school power and substantial overlap among aggregated climate indicators. Overall, the findings are consistent with PGI being an important student-level pathway linking school climate to mental health in vocational education. Full article

This study develops a new concept of computer-assisted exercises (CAX) on constructive simulation systems and how the proposed concept affects the strategy and teaching methods. The current state of affairs in the field of defense and security, both in Europe and in the world, requires the acquisition of competencies (European Qualifications Framework—EQF: knowledge, skills, independence, and responsibility), i.e., the education and training of a significantly larger number of personnel in the field of defense and security than has been the case in the last 70 years. In addition, an important specificity of today is that students need to acquire some competencies that were almost unknown until recently. Most of these competencies are the result of the rapid development of technology, which has significantly changed human life in all areas. In order to respond to the modern requirements of conducting operations, where the transfer of information both horizontally and vertically is exponentially accelerated, current concepts of preparation and implementation of education and training, of which exercises are often the most important part, need to be replaced with new concepts, and one such concept is developed in this paper. New information introduced is mostly related to the new weapons that are being introduced (unmanned systems, hypersonic missiles, weapons based on microwaves and lasers, etc.), which all result in necessary changes to the traditional approach to conducting war, i.e., tactics, techniques, and procedures (TTP). This novel exercise concept allows for the simultaneous implementation of training for up to three or four hierarchical levels (e.g., TF Div, brigade, battalion, and company) in one exercise, while in most countries, including the NATO alliance, it is still common for such exercises to be conducted according to a concept that is over 20 years old and, as a rule, is focused on the implementation of exercises for one or two hierarchical levels. This approach allows key personnel from the headquarters of units from four hierarchical levels to be simulated in real time, which is not provided by current concepts for preparing and conducting exercises. The new concept was applied as a multi-level, computer-assisted exercise (CAX) on constructive simulation systems. In addition, significant advantages of the new concept relate to the flexibility and adaptability of the proposed concept to be applied in addition to operational units and in training institutions such as academies and higher education institutions. In addition to the above, the new concept requires a shorter planning period as well as fewer total resources needed for the preparation and implementation of the exercise. The management, organizational, and technological components of the proposed exercise concept are implemented in the CAX model. The hypotheses in this paper will be tested in an applied study, which was evaluated through an external evaluation body. The implemented CAX model was tested in Croatia on the example of using exercises at the Croatian Defense Academy. Full article

In social science degree programs, where Statistics is not a core subject, students often experience anxiety and negative attitudes that influence their engagement and may hinder academic performance. This study examines the role of positive emotions in the teaching of Probability Calculus and Inferential Statistics in Business Administration and Management studies, analyzing their relationship with students’ engagement in Problem-Based Learning (PBL). The research is framed as an exploratory single-campus case study conducted with a modestly sized sample of undergraduate students from a single Faculty. Moving beyond traditional approaches that view emotions merely as outcomes of learning, our model assumes that positive emotions, both prior to and following the PBL experience, shape students’ perceptions of its usefulness, their collaborative behaviors, and their communication with instructors. Using Structural Equation Modeling (SEM) and Cluster Analysis, the findings show that positive emotions are a key driver of students’ predisposition toward and engagement with PBL, indicating that cultivating a supportive emotional climate enhances participation and deepens the understanding of statistical concepts. These results suggest that fostering emotional engagement is essential not only for improving motivation and academic outcomes in Statistics but also for developing transversal and sustainability-related competencies such as critical thinking, collaboration, communication, and evidence-based decision-making. The study contributes to current discussions on sustainable and inclusive teaching practices by highlighting the importance of integrating socio-emotional dimensions into active learning methodologies in higher education. Full article

The purpose of this instrumental case study, employing both qualitative and quantitative data, was to investigate how novice teachers from non-local and urban areas used community assets and local funds of knowledge (FoK) in their STEM instruction in a remote Montana town. While non-local teachers often make up a large share of many rural communities’ teaching workforce, those teachers might lack the social, cultural, and community knowledge that they need to teach with place-conscious approaches. Therefore, this study explored how “new-to-town” teachers, with limited personal ties to a community, learn about their rural community and how they apply this knowledge to their teaching context. Additionally, this study examined which research-established factors that improve rural STEM education were deemed most important for novice, rural teachers. The exploration employed a floodlight research approach, whereby a census of the authentic pedagogical actions of the subjects was documented rather than investigating the efficacy of a single method. Data sources included qualitative instruments like concept maps and semi-structured interviews, alongside quantitative measures like ranked best-practices data and place-conscious lesson ratios, to provide both depth of interpretation and breadth of comparison across participants. Results from the deductive thematic analysis suggest that novice teachers aspire to implement asset-based pedagogical approaches in STEM instruction and possess some methods for integration but struggle to learn of local community assets without modeling and mentorship. Additionally, an unexpected pattern emerged from the findings: Novice, newcomer teachers that employed place-conscious lessons were more likely to remain teaching in their position. While this association cannot be interpreted causally, it might suggest that place-conscious mentorship practices may play a role in improving instruction and support the retention of non-local teachers in rural communities however, further, more robust exploration is warranted of this exploratory finding. Findings from this study can be used to inform recommendations for school districts, post-secondary institutions, and rural communities on how best to support beginning rural teachers with limited community connections. Full article

Generative Artificial Intelligence (GenAI) is reshaping how students engage with learning both within and beyond traditional classroom settings. In a time when the development of transferable skills is essential for enabling students to thrive in varied and rapidly evolving environments, the potential of GenAI to enhance learning engagement remains insufficiently understood. Despite rising interest in interactive, personalised learning companions that enable deep engagement and ongoing skills development, scholarly research remains limited. This gap constrains effective institutional use of GenAI, reinforces black-box thinking, and restricts understanding of meaningful student engagement and skills acquisition. This paper investigates how a GenAI-enabled AI teacher supports student learning engagement, focusing on behavioral engagement as evidenced by learner interaction and participation patterns across diverse international higher education institutions. Using a combination of quantitative engagement metrics and qualitative learner reflections, the study examines how GenAI supports personalised learning, sustained interaction, autonomy, and cognitive engagement among students with varying educational backgrounds. The findings demonstrate that GenAI-based teaching systems can promote meaningful learning engagement, enhance motivation, and strengthen the development of transferable and employability skills. The study contributes empirical evidence to current debates on GenAI integration, teacher practices, and student engagement, offering implications for curriculum design and institutional adoption of GenAI-enabled learning tools. Full article

The Associated Press (AP) Stylebook, endearingly called “the journalist’s bible,” contains thousands of entries outlining style rules and situational guidance. Designed initially for practitioners, the AP stylebook is a seminal resource at many journalism education programs. Its density and complexity as a learning material inherently poses cognitive load risks for novices—and yet—it remains notably under researched. This explanatory sequential mixed methods study explored journalism instructor axiology, pedagogy, and perceptions of teaching effectiveness when introducing AP Style to novice students. Findings revealed that while AP Style remains a pillar of U.S. journalism curriculum, experienced instructors sometimes feel uncertain about the effectiveness of their introductory pedagogy. They described a hodgepodge of methods and design constraints often incongruous with knowledge of human cognitive architecture. We problematize these findings through cognitive load research, recommend Cognitive Apprenticeship Model principles to reduce load-inducing strategies, and suggest directions for future research. Full article

Distance learners in higher education are often assumed to face limited peer interaction, potentially weakening their sense of belonging. This study examines peer relationships and belonging among students in distance and blended university programs, with attention to the role of virtual reality (VR) within digitally mediated learning environments. Immersive VR teaching is included in the curriculum for distance learning students in the studied programs. Using a mixed-methods design, survey data and open-ended responses were collected from 17 students in Information Studies and Information Service Design. An adapted Classroom Community Scale was supplemented with items addressing the perceived contribution of different communication technologies. Contrary to expectations, fully distance learners did not report weaker agreement with statements reflecting belonging than blended students; on several items, they expressed stronger agreement, particularly regarding perceived peer support and learning opportunities. Results indicate that conventional 2D communication tools, particularly chats and video calls, are central to sustaining peer relationships. VR was not perceived as essential but described by some students as an added value supporting shared experience and group cohesion. Overall, belonging emerges as a socio-technical achievement shaped by communication practices rather than physical proximity. Full article

Positioned at the intersection of instructional mediation, Visual Education, and Universal Design for Learning (UDL), this research aims to ascertain whether the use of Artificial Intelligence (AI) enhances accessibility for students with sensory disabilities. The study involved 137 pre-service teachers attending the “Special Didactics and Learning for Sensory Disabilities” course within the teacher specialization program (TFA) at the University of Foggia. Although the hybridization of AI, UDL, and Visual Education was favourably received, its application remains sporadic, highlighting the challenge of balancing the need for simplification with requisite conceptual accuracy. This underscores the necessity of integrating more structured and continuous training pathways into teacher education, grounded in visual education and featuring micro-modules dedicated to specific skills such as writing alternative text, subtitling, and verifying color contrast according to recognized standards. Full article

Residential college (RC) activities represent a creative form of engagement beyond formal classroom teaching, integrating experiential, social, and community-based learning. China is promoting holistic education through the RC activities. Student motivation directly influences their engagement in practice-based learning. Yet, the motivation profile of Chinese students’ participation in RC activities remains largely unexplored. To address this gap, the exploratory cross-sectional study involved 403 undergraduates from an RC-based university in the Guangdong–Hong Kong–Macao Greater Bay Area. Based on a standardized questionnaire, we explored descriptive patterns of three forms of motivation, namely intrinsic motivation, extrinsic motivation, and amotivation, as well as four influencing factors: activity logistics, experiential value, outcome expectations, and social context. We then conducted hierarchical linear regression analyses with the three motivation types as outcomes. The primary results indicated that intrinsic motivation was the dominant motivation type among RC students. Experiential value emerged as a key influencing factor, positively associated with intrinsic and extrinsic motivation, and negatively associated with amotivation. Additionally, activity hosting experience was identified as another important correlate, positively linked to both intrinsic and extrinsic motivation. Motivational patterns further varied across gender, academic year, ID place, weekly RC stay duration, and part-time employment. The findings provide empirical support for more targeted RC activity planning aimed at boosting student motivation in the Chinese context. Full article

This mixed-methods study explores the views and experiences of 55 English-language teacher candidates in Chile who designed gamified project-based lessons aimed at fostering inclusive learning and social justice in culturally diverse classrooms. Data were collected through lesson plans, semi-structured interviews, and a Likert-scale survey, and were analysed using inductive content analysis and descriptive statistics. The findings reveal that participants valued gamification for enhancing student engagement, collaboration, and critical thinking, and they perceived gains in their ability to integrate social justice themes into language teaching. However, discrepancies emerged when participants had to plan lessons that had a social justice orientation because they perceived they did not have enough competence to approach equity-oriented themes. This study adopts a justice lens that foregrounds power, agency, and digital equity in teacher candidates’ lesson-planning skills to examine how they can redistribute voice, recognise situated knowledges, and expand their capacity to act within and against structural constraints. The study underscores the need for teacher education programmes to move beyond technical and motivational uses of gamification and digital tools. From their lesson plans, teacher candidates were not simply adopting digital tools at a technical level but seem to be designing an integrated pedagogical ecosystem that aligned gamification and project-based learning. However, it is inconclusive whether they are able to design gamified PBL environments that do not reproduce existing social and educational inequalities and ensure that access and participation are carefully scaffolded. Full article

The rapid development of intelligent learning guidance systems has created a favorable environment for personalized learning. By accurately predicting students’ future performance, education can be tailored and teaching strategies optimized. However, traditional prediction algorithms seldom account for highly imbalanced datasets in basic education, overlook temporal factors, and lack further interpretability of the prediction results. To address these shortcomings, we propose Temporal Variational Autoencoder-Generative Adversarial Network (TVAE-GAN), a temporal variational autoencoder-generative adversarial network model aimed at providing early warnings for high-risk students in basic education, with in-depth interpretability analysis of the prediction results to suit the unique context of basic education. TVAE-GAN extracts features from real samples and introduces a Long Short-Term Memory (LSTM) network to capture dynamic features in time series, helping the model better understand temporal dependencies in the data, remember the sequential causal information of students’ online learning, and achieve better data generation performance. Using these features, the generative model generates new samples, and the discriminator model evaluates their quality, producing outputs that closely resemble real samples through training. The effectiveness of the TVAE-GAN model is validated on a collected online basic education dataset while also advancing the timing of interventions in predictions. The performance differences between the proposed method and classic resampling methods, as well as their impact in the educational field, are analyzed, highlighting that misclassification increases teacher workload and affects students’ emotions. Key influencing factors are identified using a decision-tree surrogate model, providing teachers with multidimensional references for academic assessment. Full article

Distance higher education places increased demands on instructors’ emotional and communicative competencies, as teaching and interaction occur in technologically mediated environments. This study examines the role of teachers’ emotional intelligence, empathy, and communication-related competencies in distance higher education, with particular emphasis on emotional management and instructor well-being. A quantitative research design was employed, using self-report instruments administered to higher education instructors engaged in distance teaching. Non-parametric statistical analyses revealed strong internal coherence among emotional intelligence dimensions and a pattern of functional empathy characterized by high perspective taking and low personal distress. Self-perceived communication was found to be consistent across interactional contexts, indicating a stable communicative disposition. Most notably, emotional management emerged as a key factor associated with positive work-related emotions among instructors. The findings highlight emotional management as a critical mechanism supporting both teaching effectiveness and emotional sustainability in online learning environments. The study contributes to the literature by integrating emotional intelligence, empathy, and self-perceived communication within a unified empirical framework and offers practical implications for professional development and institutional support in distance higher education. Full article

The education systems, financial circumstances, and societal structures of our century expect educators to possess the most important characteristic: the ability to guide students who are highly digitally competent and keep themselves up to date. The “Sustainable Development Goals (SDG 4)” emphasized by the According to the United Nations highlight the necessity of continuously updating teacher competencies for quality and inclusive education. Establishing music teachers’ “digital competencies” on a sustainable basis depends on combining technical skills with a pedagogical vision. Therefore, thoroughly examining music teachers’ digital competencies in light of international standards and the TPAC model is critical to ensuring the sustainability of digital transformation at both the institutional and individual levels. This study, which examines digital literacy as an important part of sustainable education in music education, has examined the digital skills of music teachers in Turkey within the scope of international digital literacy frameworks and the TPAC approach. Digital skills have been related to the status of teachers’ professional practices, teaching-learning processes, assessment approaches, and the support of students’ digital literacy. The research concluded that music teachers’ digital competency levels are at the “explorer” level, meaning they are individuals who are aware of digital technologies and conduct research to develop themselves in this area. Full article

Despite ongoing population aging, older adults remain underrepresented in educational and digital media research, particularly individuals from the fourth and fifth ages. Available data suggest a decline in participation in formal education, as well as decreasing numbers of internet users with advancing age. However, detailed information on very old adults’ perspectives on learning and digital devices remain limited, especially regarding informal learning activities. This study aims to examine attitudes toward and the perceived relevance of informal and digital learning among individuals aged 90 years and over. In total, seven interviews with older adults aged 90 years and older were conducted using a combination of biographical-narrative and problem-centered interview methods. Data were analyzed using Reflexive Thematic Analysis. Two overarching themes, consisting of a total of seven themes, were developed: perspectives on learning developed over the course of life and current perspectives on learning. Results indicate that the aging process itself becomes a salient learning process. Although age-related stereotypes such as ‘You can’t teach an old dog new tricks’ persist, nursing homes were identified as environments that support learning. This study sheds light on informal learning processes in advanced age. Full article