Technological Innovation

Educational futures of intelligent synergies between humans, digitaltwins, avatars, and robots -the iSTAR framework

With the rapid advances of Artificial Intelligence (AI) and its technologies, human teachers and machines are now capable of collaborating to effectively achieve specified outcomes. In educational settings, such collaboration requires consideration of several dimensions to ensure safe, responsible, and ethical usage. While various research studies have discussed human-machine collaboration or cooperation in education, a…

Initial Policy Considerations for Generative Artificial Intelligence – OECD

Generative artificial intelligence (AI) creates new content in response to prompts, offering transformative potential across multiple sectors such as education, entertainment, healthcare and scientific research. However, these technologies also pose critical societal and policy challenges that policy makers must confront: potential shifts in labour markets, copyright uncertainties, and risk associated with the perpetuation of societal…

Prediction of Learner Information-Seeking Behavior and Classroom Engagement in the Advent of ChatGPT

Information source accuracy and trustworthiness are vital in undergraduates’ education in terms of how they seek teacher feedback and educational content. Nowadays, the infusion of technologies into education has led to convenient and easy access to learning materials in electronic libraries and web-based platforms or search engines. Undergraduates are expected to make rapid use of…

Does Gamification Influence Students’ Online Learning Behaviors and Academic Performance? A Learning Analytics Perspective

Abstract Despite the importance of Student-Centered Learning (SCL), limited information exists in the literature on how SCL can be facilitated by various educational technologies. This study, therefore, explores the literature to investigate the role of educational technology in supporting SCL. Particularly, it builds on the American Psychological Association (APA) learner-centered principles framework, and a classification…

Guidance for generative AI in education and research

Generative AI can be a tremendous opportunity for human development, but it can also cause harm and prejudice. It cannot be integrated into education without public engagement, and the necessary safeguards and regulations from governments. This UNESCO Guidance will help policymakers and teachers best navigate the potential of AI for the primary interest of learners….

AI Competency Frameworks for Students and Teachers

Drafts of the two AI competency frameworks will be presented and further refined during Digital Learning Week (4-7 September 2023).Frameworks will be launched at the next Digital Learning Week in March 2024. The AI competency framework for teachers will define the knowledge, skills and attitudes that teachers should possess to understand the roles of AI…

Youthful Ingenuity: A Collection of Al Innovations by Chinese Teenagers

In December 2019, BNU launched Yuanzhuo Initiatives in response to the call for implementing the Beijing Consensus on Artificial Intelligence and Education. This program seeks to advance AI education among youth by fostering collaboration between academia, research institutions, and industry. The goal is to cultivate top-notch innovative youth talents with the ability to apply original…

How Are We Doing with Student-centered Learning Facilitated by Educational Technologies? A Systematic Review of Literature Reviews

Abstract Despite the importance of Student-Centered Learning (SCL), limited information exists in the literature on how SCL can be facilitated by various educational technologies. This study, therefore, explores the literature to investigate the role of educational technology in supporting SCL. Particularly, it builds on the American Psychological Association (APA) learner-centered principles framework, and a classification…

China Released the First “Demonstration Artificial Intelligence Law 1.0(Expert Draft).”

On August 16th, the drafting team of the Major Project on National Conditions Research of the Chinese Academy of Social Sciences released the “Demonstration Artificial Intelligence Law 1.0 (Expert Draft).” The “Demonstration Law” covers seven main chapters, including the general principles, support and promotion of artificial intelligence, AI management systems, obligations of AI developers and…

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