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The advancement of artificial intelligence (AI) has shown its vast potential and promise in influencing almost every aspect of higher education. However, ethical considerations regarding data privacy, algorithmic bias, and job displacement require careful attention. Our research initiative aims to comprehensively examine the transformative impacts of AI on higher education from ethical, social, and pedagogical dimensions, such as how AI advances academic pursuits, enhances learning experiences, and drives educational innovation. From cutting-edge research projects to innovative teaching methodologies, we will showcase AI's global influence on higher education, highlight AI's use in teaching AI, address ethical and pedagogical challenges, and emerging applications in administrative, teaching, learning, and research activities. This Research Topic stimulates critical discourse on AI’s implications for higher education, aligning with community interests and promoting responsible innovation. It explores AI's profound ramifications on teaching, learning, and research in higher education, offering insights into curriculum development, assessment, and faculty workflow. By addressing ethical, social, and pedagogical considerations, it catalyzes further research and influences policy decisions. This initiative will foster the understanding of AI's role in optimizing educational experiences, advancing pedagogical practices, facilitating innovative research methodologies, supporting student learning outcomes, optimizing faculty workload management, and driving excellence in the digital age while preparing for the future. With a global perspective, we will highlight AI's innovative applications across diverse academic disciplines and institutions and empower stakeholders with the knowledge and tools needed to navigate the evolving landscape of education in the digital age. We invite stakeholders to join us in exploring AI's developments and vast potential in academia. Together, we will navigate the opportunities and challenges presented by this technology, forging a path toward a future where AI enhances educational excellence and equity for all. The scope of the Research Topic includes a wide range of areas that explore the long-term implications of AI for the structure and delivery of higher education, including: • Pedagogical revolution sparked by AI in transforming traditional teaching roles and new models of learning. • Customized educational experiences tailored to individual learner needs. • AI's potential to foster interdisciplinary collaboration • AI’s role in accelerating scientific discovery, exceeding boundaries of human knowledge and catalyzing breakthroughs. • Advancing scholarly inquiry through AI-driven research endeavors and innovative research methods • The skills and knowledge necessary to equip academics and students to thrive in an AI-driven world. • Ethical challenges and implications of AI-driven decision-making in the current landscape. • The broader implications of AI beyond the classroom, encompassing its impact on administrative processes and institutional operations. • The role of AI in optimizing student support services and fostering a more productive, accessible, and inclusive college experience. Regarding the types of articles, we are open to different research approaches and types of contributions, including: • Original research articles on new findings and analysis on AI. • Systematic reviews and meta-analyses on topics related to AI. • Case studies providing details of successful (or unsuccessful) implementations of AI in higher education. • Technical, curriculum, instruction, and pedagogy articles describing innovative curricula, teaching methodologies, teaching formats, and pedagogical frameworks on AI. • Conceptual Analysis articles explore the concepts and issues related to AI in higher education. • Perspective articles present a viewpoint on a specific area of investigation on AI. • Essays and opinions addressing critical issues, debates, or emerging perspectives in the field of AI.
Advancing neurodiversity in education for equity, inclusion and employability. The neurodiversity paradigm challenges pathologising accounts of neurodevelopmental differences in education and life in general. However, little is known about neurodiversity in the classroom, how teachers must effectively teach neurodiverse learners and what training is required for effective education of neurodiverse learners. This special issue calls for the advancement of neurodiversity in education. Pivotal to the neurodiversity paradigm is addressing inclusion for social justice in education. This issue aims to address the reductive conceptualisations of neurodiversity for equity, inclusion and employability. Many parents wish to see their children become successful in school in preparation for the world of work. However, most learners with neurodiversity appear unable to acquire the necessary skills and competencies to enter the world of work. Others might be high functioning but misunderstood within the education systems. This call proposes articles that will illuminate the role of teachers and education in addressing the learning needs of learners who are neurodiverse. Sharing best practices as well as challenges teachers have to be aware of and equip themselves to effectively deal with is desirous. Objective: To advance the understanding of neurodiversity in education To link neurodiversity to the world of work To affirm the role played by families in neurodiversity and education Recommended themes: Understanding the concept of neurodiversity Early childhood and neurodiversity The idea of neurodiversity in the classroom Neurodiversity-affirming learning contexts Neurological differences and learning The trauma of neurodiversity and learning Neurodiversity and employability Neurodiversity affirming world of work Families of neurodiverse learners Teachers and neurodiversity Neuromethodology for education Neuroimaging for teachers
The advancement of information and communication technologies has led to a significant change in the ways people teach and learn. Especially after the COVID-19 pandemic, there has been an increased demand for the adoption and use of various emerging technologies (e.g., online platforms, artificial intelligence systems, digital applications, mobile or wearable devices, digital games, coding tools, etc.) to facilitate teaching and learning. The innovative use of emerging technologies has been the focus of educational research and brought educational transformations at all levels, including K-12, higher, and adult education. It is important to design and develop innovative approaches with technology integration to enhance students’ learning experiences and outcomes in various learning environments (e.g., face-to-face, hybrid, or online learning settings). This Research Topic of recent research and practice in technology-enhanced learning environments will provide evidence and examples that benefit institutions, administrators, educators, or instructional designers in developing future innovative and technology-integrated learning opportunities that facilitate student-centered learning, interactivity, engagement, and teaching preparation. This Research Topic aims to collect research and practices that explore, examine, and discuss recent digital innovations in technology-enhanced learning environments, as well as the use and application of emerging technologies in teaching and learning contexts. We look into the different facets of technology-enhanced learning environments, including (1) the use, design, and implementation of technological innovations to facilitate teaching and promote deep and meaningful learning across different content areas (e.g., STEM, non-STEM, or STEAM) at various levels (e.g., K-12, higher, or adult education) or settings (e.g., formal or informal settings.); (2) the effect of innovative interventions with technology integration on teaching effectiveness or student outcomes; (3) cognitive, attitudinal, or motivational factors associated with the use or implementation of emerging technologies in face-to-face, hybrid, or online learning environments; (4) the innovative use or pedagogical design of lessons, activities, or assessments with the integration of emerging technology tools, platforms, or resources; and (5) the investigation of students’ learning experiences (e.g., satisfaction, engagement, etc.) and outcomes, or critical variables (e.g., interaction, self-efficacy, benefits, challenges, etc.) in technology-integrated learning environments. We encourage the submission of manuscripts that are original research, reviews, case studies, and empirical or theoretical studies. Themes welcomed by this Research Topic include, but are not limited to the following: ● Artificial intelligence (AI), AI literacy for educators and students ● Augmented reality (AR), Virtual Reality (VR), Mixed Reality (MR), eXtended Reality (XR) ● Digital games, game-based learning, gamification ● Design for interactive and engaging learning environments ● Mobile learning ● Human-computer interaction ● Open educational resources ● Computational thinking, critical thinking, problem-solving and soft skills development ● Educational robotics, coding, and computer programming in education ● Online learning or interactive learning environments ● Innovative approaches, pedagogies, and practices in digital learning ● Distance, blended, hybrid, hyflex learning ● Open and flexible learning environments
The monograph Technology applications related to early childhood will address early technology interventions for children with special needs, integrated care models that provide technology services and supports holistically, addressing the needs of the child and family in a coordinated way, technology advances in early diagnosis with the collaboration of different professionals (doctors, therapists, educators and social workers), and recent technology research on early education.
The full impact of artificial intelligence tools (e.g., GPT-3, ChatGPT, DALL-E) on teaching, learning, and assessment is evolving rapidly. By extension, questions arise about the ethical implications of artificial intelligence tools used for writing, coding, fine arts, and other educational applications. In this thematic collection, we welcome papers regarding the impact of artificial intelligence on academic integrity. We define academic integrity broadly, including but not limited to student conduct, ethical teaching, ethical feedback and assessment, and the ethical application and development of new technologies for learning.
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