Keyword: AI in education

ABSTRACT: This study investigates teachers’ reasoning around implementing generative AI (GenAI) in education. It aims to increase understanding of the importance of collective negotiation of trust that arises when teachers collectively explore generative AI as a pedagogical tool for teaching and learning. Data collected through a longitudinal focus group study comprising four workshops and two SWOT analyses conducted over nine months were analyzed using inductive thematic analysis. Trust was used as a theoretical lens to interpret the results. The results indicate that teachers negotiate trust in generative AI at three levels. At the instrumental level, negotiations concern the usability of the tool in terms of quality and efficiency, the reliability of different tools, and regulatory limitations on their use. At the pedagogical level, negotiations emerge overtrust in human–AI communication and interaction, focusing on linguistic precision and the importance of human presence in learning, alongside discussions about future teacher proficiency. At the systemic level, negotiations about trust occur in relation to beliefs about a future educational context and the teacher’s role within it, where reasoning about the socializing function of education becomes evident. The study emphasizes the importance of continuous professional dialogue and critical reflection to build collective trust in generative AI as an educational tool and ensure a responsible integration into the teaching practice. The research highlights the need for balanced, well-founded approaches to this integration, involving negotiations of trust across multiple levels and perspectives.

ABSTRACT: The rapid integration of artificial intelligence (AI) into higher education is reshaping how future educators are prepared for multilingual, multicultural, and ethically complex environments. This study employed a mixed-methods sequential explanatory design to investigate how educators and students in Luxembourg and Ukraine perceive and adopt AI in teacher preparation. In Luxembourg, AI was largely framed as a tool to extend inclusive, multilingual practices and institutional innovation, whereas in Ukraine, it was often adopted out of necessity under conditions of crisis and infrastructural disruption. Quantitative analyses demonstrated that perceived benefits of AI were positively correlated with readiness for instructional integration (r = 0.61, p < .001), while ethical concerns were negatively correlated with willingness to adopt AI (r = –0.45, p < .001). No significant group differences were observed in overall reported levels of ethical concern (t(140) = 1.25, p = .21), though qualitative findings revealed striking contrasts in the nature of these concerns. Luxembourgish participants expressed preventative concerns about quality and pedagogy, while Ukrainian participants described immediate ethical dilemmas shaped by wartime conditions, including studying in bomb shelters and balancing personal safety with academic integrity. Findings highlight that while AI can enhance instructional innovation, it simultaneously amplifies inequalities through language bias and access gaps. The study contributes by linking empirical insights to instructional design frameworks (ADDIE, TPACK) and multicultural education theory, offering concrete guidance for teacher preparation in both stable and crisis-affected contexts.

ABSTRACT: This research proposes a curriculum designed to promote the application of agile methodologies in classrooms. It identifies the key skills secondary school teachers need and categorizes them into three main areas: understanding the foundational concepts of agile methodologies, developing essential soft skills such as communication and teamwork, and enhancing digital proficiency. Guided by Gagné’s instructional design model, these competencies were systematically integrated into a well-structured curriculum with clearly defined modules and units. By focusing on these three areas – agile methodologies, transversal skills, and digital competences – the curriculum aims to help teachers embrace and apply agile principles in practical, meaningful ways. It supports teachers in actively integrating agile practices into their classrooms and equips them with tools to create dynamic, collaborative learning environments where students can develop important 21st-century skills, such as adaptability and problem-solving. By empowering teachers with these skills, the curriculum establishes a pathway to transform education, making it more responsive, student-centered, and prepared for the future. It bridges the gap between traditional teaching methods and the agile practices required in today’s rapidly evolving world, ensuring a smoother transition toward innovative and effective educational practices.

ABSTRACT: It is important to observe the effectiveness of online learning (OL) as a resilient approach for the smooth functioning of the educational systems in the post-pandemic for resilience purposes. This paper defines resilience as learners’ capacity to cope with a crisis like COVID-19 and recover quickly from the challenges and prospects caused by the pandemic. Hence, this paper aims to find out the extent to which the use of OL in higher education institutions (HEIs) has served as a resilient means of accessing education in selected South and South East Asian countries during the COVID-19 pandemic. This paper uses a literature review method and adopts the integrative literature review approach. The reviewed literature was subjected to a content analysis method in order to provide the themes relevant to address the objectives of this paper. The results indicate that in the context of South and South East Asia, particularly in Afghanistan, Bangladesh, China, India, Japan, South Korea, Malaysia, Nepal, Pakistan, and Sri Lanka, there are country-specific differences in adopting OL as a resilient approach in HEIs. For instance, in China, OL was a “forced innovation” during the pandemic. However, this paper concludes that nearly all South Asian nations took recourse to OL during the pandemic without a proper understanding of the pedagogical implications of OL. Hence, the recommendation is that OL cannot be fully utilized unless critical issues like learners’ engagement, investments, digital divides, infrastructure, and governmental and leadership support are properly addressed and assessed. Another recommendation is for policy guidance, especially in the South Asian developing countries in the post-pandemic contexts, to consider the best practices of OL as resilient strategies for sustainable education in HEIs.

ABSTRACT: This study investigates artificial intelligence (AI) psychological empowerment in education, examining how AI tools enhance students’ sense of competence, autonomy, and engagement beyond the effects of material empowerment (e.g., task performance
improvements). Using a quasi-experimental design, we compared Chinese domestic students in China and Chinese international students in Australia to assess whether AI psychological empowerment is both tangible and more impactful than material empowerment. We highlight several nuanced ways AI fosters personal growth and self-perception. Our findings reveal that, while AI material empowerment is beneficial, psychological empowerment has a stronger influence on motivation and self-perception, particularly for international students compared to local students, despite both groups completing the same English writing task. These results suggest that AI’s role in education extends beyond traditional material support, offering transformative psychological empowerment that enhances students’ confidence in academic contexts. This empowerment reasonably translates into greater personal adaptability and, ultimately, personal growth. The study contributes to the growing literature on AI in education, providing insights for scholars, educators, and policymakers seeking to leverage AI for holistic student development. Notably, generative AI (GAI) emerges as a critical tool for cultural and linguistic adaptation, particularly for immigrant students navigating foreign academic systems. Furthermore, the psychological empowerment effects of GAI appear to be context-dependent, with stronger impacts observed in students facing greater cultural or linguistic barriers. These findings emphasize AI’s potential to foster personal growth and resilience across diverse learning contexts. Finally, we recommend that educational policies and practices be tailored to leverage GAI for immigrant populations, paving the way for more equitable educational opportunities.

ABSTRACT: Sustainable and equitable development requires comprehensive and collaborative initiatives that avoid and remedy environmental harms and remove and alleviate poverty-contributing factors. This review article presents a promising way forward for universities to engage in sustainable development challenges that build on South-North collaboration and the interests, dedication, energy, and contributions of today’s youth. First, we introduce critical dimensions of the contemporary global challenge of sustainable development along with their interconnected features. We next review the crucial sustainable development Higher-Education roles and gaps of tertiary education institutions along with encouraging educational approaches. Then, we set forth three innovative initiatives that, implemented collectively, promise to address prevailing shortcomings in the ways that universities currently approach these challenges. The linked initiatives are (1) transnational competence curricula and preparation, (2) South-North Higher Education Consortia, and (3) a Global Challenges Corps staffed by a transnational cadre of higher education graduates and professionals. These proposals are accompanied by a detailed evaluation framework. The world’s institutions of higher learning are strategically positioned to distinguish and address current and upcoming challenges of sustainable development. In combination, our three proposed initiatives offer tertiary-level institutions a breakthrough approach for preparing current and future students interested in gaining valuable sustainability problem-solving skills. By embracing the institutional change pathways elaborated here, forward-looking universities will move to a far stronger position from which to provide tomorrow’s students with valuable skills and experiences for tackling forthcoming glocal socio-ecological challenges.

ABSTRACT: ver the past decade, the growth in generative artificial intelligence (GenAI) is reshaping and changing how we interact, learn, and work and is likely to bring ongoing change in the future. However, current educational understandings, frameworks, and models concerning digital technologies and digital literacies are remaining relatively static and hierarchical and do not adequately accommodate GenAI’s unique learning capabilities, creative potential, and agency. In this conceptual article, we use critical dialogic inquiry and employ ecological thinking using the notion of symbiosis and posthuman perspectives to explore and speculate about the nature of GenAI and its potential impact on educators and learners. We offer a new way of conceptualizing human relationships with GenAI, which we call “symbi(AI)tic understandings.” Symbi(AI)tic understandings acknowledge the evolving and contextual relationships between partners: from balanced mutualism to one-sided commensalism to potentially harmful parasitism. Thus, we position human–GenAI relationships as part of change futures in which there are complex associations between technology and human endeavor. These understandings aim to foster more nuanced ways of being with and thinking about technology: ways which are vital for educators and learners as they transition into an era of education with AI.

ABSTRACT: This article shares what Swedish preschool teachers are working with in the field of early childhood education for sustainable development (ESD) as emerged in talks with their children, aged two to five years. The tasks carried out as the basis for the present
analyses were informal child talks about a topic related to sustainability that the teachers and children had worked with in practice. The teachers themselves chose what content to talk about. The 200 teachers participated in the Swedish research and development program Sustainable Preschool. The aim of the present study was to make visible the content of teacher-child talks about sustainable development in early childhood education. The research question is as follows: What content areas do teachers communicate about with children 2–5 years of age related to ESD? The teacher-child talks were initiated by the teachers, but through the use of interpretative content analysis the children’s voices were also made visible. The main result is narratives about the content, the most common topics being recycling, growing plants and animals, areas which have long been common topics in Swedish preschools. For many preschools, however, the talks show an integration of transformative and transactional perspectives in how the content was handled together with the children. ESD in early education in Sweden is no longer dominated by the environmental dimension, as earlier content studies have shown; a new common content relates to the UN Sustainable Development Goal 4.7 regarding sustainable lifestyles and human rights, and sustainability is a long process, founded in empowerment, action competence, and changed policy.

ABSTRACT: Contemporary advances in generative AI technology have sparked considerable interest regarding its application in language education. This article explores the innovative impact that AI-powered linguistic educational tools may have, such as customized learning journeys, dynamic content, and individualized feedback mechanisms, which collectively have the potential to enhance language acquisition. At the same time, it is important to recognize the constraints associated with such technologies. Concern about maintaining precision and genuineness within AI-crafted language texts is an issue in the literature. There is also caution about AI’s current inclination to standardize language expression and to propagate limited cultural narratives, alongside the risks of overreliance on technology which may diminish analytical thought and inventiveness. This article examines the ethical considerations involving generative AI, such as the authenticity of creative work and the ownership of intellectual output. Emphasizing the necessity for clarity and conscientiousness in the application of AI, this conceptual article outlines the opportunities, limitations, and ethical concerns associated with generative AI in language instruction. This article advocates for a well-rounded strategy that
leverages the positive aspects of generative AI within language education, while also addressing possible drawbacks and championing an ethical and equitable approach to language learning in the emerging AI-centric digital landscape. A model for forging thinking in this new research and practice space is offered to synthesize many of the possibilities of generative AI in language education.

ABSTRACT: When teachers are confident in their ability to teach mathematics and science, it can inspire students to have confidence in their own abilities. Students are more likely to engage with and enjoy these subjects when they see their teacher’s interest and belief in the material. This study aimed at exploring teachers’ confidence of teaching mathematics and science as result of continuous professional development by the African Institute for Mathematical Science (AIMS Rwanda) through its Teacher Training Program (AIMS-TTP). It employed an ex post facto research design targeting 351 secondary school teachers. The findings revealed a positive and significant relationship (p < 0.05) between AIMS-TTP interventions and teachers’ confidence to teach mathematics and science. Besides, linear regression model indicated that the dependent variable Teachers’ Confidence to teach mathematics and science was regressed on predicting variables of improved capacity to plan, adapting teaching to the level of learners, Information Communication Technology (ICT) integrated in teaching and learning; learning from peers; addressing cross-cutting issues; effective implementation of the competence-based curriculum; and the application of bloom’s taxonomy. The independent variables significantly predict teachers’ confidence of teaching mathematics and science, F (7, 326) = 183.843, p < 0.001, which indicates that the factors under study have a significant impact on teachers’ confidence of teaching mathematics and science. Moreover, the findings (Adjusted R2 = 0.822, F (8, 342) = 197.055, p = 0.000 p < 0.05) indicated that 82.2% of the variance in improved teachers’ attitude in teaching mathematics and science evidences a significant influence on the total variance. Our research suggests that policymakers should consider developing and endorsing training on innovative teaching and learning methods to boost teachers’ confidence and attitude when it comes to instructing mathematics and science at basic levels. Trainings should also be extended to Technical Secondary School STEM teachers.