Malatya Turgut Özal University Teaching and Learning Application and Research Center Regulation
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This regulation sets up the operating framework for Malatya Turgut Özal University’s Teaching and Learning Application and Research Center. It defines the center’s purpose, activity areas, management bodies, duties, and working methods. The center is designed to support university teaching quality through training, mentoring, research, digital learning tools, and work on emerging technologies such as artificial intelligence, big data, augmented and virtual reality, blockchain, and quantum computing. The practical impact is mainly internal: academic staff, students, university administrators, and education partners may see new training programs, guidance, research projects, and learning support services.
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Key Changes
- Creates a formal operating framework for the university’s Teaching and Learning Application and Research Center
- Defines activities focused on teaching quality, academic staff development, student support, digital learning, and emerging education technologies
- Sets out the center’s governance structure, including its management bodies and their duties
Obligations
What this law requires
The Center must provide academic staff with training, seminars, guidance, and online learning community services on contemporary teaching methods, active learning approaches, and integration of emerging technologies such as AI, big data, AR/VR, blockchain, and quantum computing into learning and teaching environments.
The Center must offer comprehensive orientation-based programs for newly appointed academic staff, including digital adaptation tools, mentoring models, and career-development-focused programs to support professional and academic development.
The Center must carry out activities supporting students’ academic, social, and digital literacy development and create accessible and inclusive physical and digital learning environments.
The Center must conduct qualified and multidisciplinary research on teaching and learning processes, including monitoring and evaluating learning processes through artificial intelligence, data analytics, and learning analytics.