Special Issue: Artificial intelligence (AI) in education: transforming teaching and learning
Guest Editors: Dania Bilal, Jiangen He, Jiqun Liu.
Artificial intelligence (AI) continues to evolve and transform many disciplines, including education. In education, AI has been adopted to innovate teaching and improve learning outcomes, increase productivity and efficiency, and prepare students for the future of work with AI.
This special issue includes eight scholarly articles that address themes described in the Call for Papers and the articles all represent empirical studies conducted by national and international scholars who provide varied perspectives on using AI in educational settings. They make significant contributions to the evolving discourse on AI-augmented educational technologies, which has the potential to promote a more holistic, inclusive and ethically grounded approach to various types of AI integration in education. The articles emphasize the dual necessity of designing AI tools that are both pedagogically robust, human-centered and accessible to young and adult learners while simultaneously fostering next-generation educators who are equipped with effective AI literacy and skills. Leveraging these technologies effectively and responsibly is crucial for facilitating innovative teaching and student learning. The articles are:
Guest editorial: AI in education: transforming teaching and learning
Children’s conversational voice search as learning: a literature review
Users’ voice-switching behaviors, embodiments and perceptions of voice assistants
Fostering AI literacy: overcoming concerns and nurturing confidence among preservice teachers
ChatGPT and imaginaries of the future of education: insights of Finnish teacher educators
Teaching and testing in the era of text-generative AI: exploring the needs of students and teachers