AI Pedagogy: Rooted in Pedagogy, Centered on Humans

In modern education, as technology advances rapidly, AI (Artificial Intelligence) has become an essential tool in teaching and learning activities. However, for successful AI integration, we must always remember the principle: “rooted in pedagogy, centered on humans.” This means that AI is a means to serve educational goals, while the core remains the pedagogical methods and the interaction between educators and learners. This article will analyze the concept of "AI pedagogy" and provide user-friendly examples that resonate with learners. 1. What is AI Pedagogy? “AI Pedagogy” refers to...

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AI in Quality Assurance

 In the past, when designing learning outcomes for a course or educational program, educators often had to spend significant time researching and memorizing the verbs in Bloom’s taxonomy. Memorizing or manually referencing Bloom’s verb table across various materials was not only time-consuming but also prone to errors. For example, if a teacher wanted to express the competency of "analyzing," they would have to look up suitable verbs in Bloom’s taxonomy and then cross-check their alignment with learning objectives.Today, with the support of AI models specifically trained in quality assurance,...

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The AI Competency Framework for Students

 The AI Competency Framework for Students, developed by UNESCO, aims to equip learners with the knowledge and skills needed to understand, apply, and innovate with AI in modern education and society. The framework is structured around three levels—Understanding, Applying, and Creating—and focuses on four key domains:Human-Centered MindsetCritical Reflection on AI: Encourages students to critically examine the role and impact of AI in society.Safe and Responsible Use: Guides students on using AI ethically, securely, and responsibly.Self-Development in the AI Era: Helps students understand...

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Redesigning Assessments in the AI Era

 IntroductionIn the technological era, particularly with the explosion of Artificial Intelligence (AI), numerous fields have been profoundly impacted, such as content creation, data analysis, and marketing. Education is no exception. One significant advantage of AI is its ability to reduce administrative tasks and personalize the learning process for each individual. However, a major challenge educators face is assessment. As AI becomes more prevalent in learning, students can rely on AI tools to complete assignments and exams more quickly and effortlessly. This raises an urgent question:...

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AI Competence Framework for teacher

 The AI Competency Framework for Teachers by UNESCO is designed to equip educators with the necessary skills and knowledge to effectively integrate artificial intelligence (AI) into their teaching practices. This framework emphasizes a human-centered approach, prioritizing inclusivity, human agency, and respect for diversity.The framework is structured around five key areas:Human-Centered Mindset: Encouraging teachers to understand and assert their agency in relation to AI.Ethics of AI: Promoting responsible use, ethical principles, and safe practices in AI applications.AI Foundations and...

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Quality Assessment for Distance Higher Education Programmes in Vietnam: Introduction, Benchmark and Lessons Learned

Quality Assessment for Distance Higher Education Programmes in Vietnam: Introduction, Benchmark and Lessons LearnedHo Dac Hai MienVice-Director of Center for Education Accreditation, Vietnam National University - Ho Chi Minh CityPhD student, VNUHCM-University of Social Sciences and Humanities AbstractIn the context of Industry 4.0 and the pandemic of Covid – 19, the quality of distance eduction in higher education institutions has been much concerned by stakeholders. This paper introduces distance education development and quality assessment standards for distance higher education programmes...

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