Nevşehir Hacı Bektaş Veli University Course Catalogue
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| Year/Semester of Study | 1 / Spring Semester | ||||
| Level of Course | 2nd Cycle Degree Programme | ||||
| Type of Course | Optional | ||||
| Department | EĞİTİMDE YAPAY ZEKA TEKNOLOJİLERİ(TEZLİ YÜKSEK LİSANS ÖNERİLEN) | ||||
| Pre-requisities and Co-requisites | None | ||||
| Mode of Delivery | Face to Face | ||||
| Teaching Period | 14 Weeks | ||||
| Name of Lecturer | OZAN COŞKUNSERÇE (coskunserce@nevsehir.edu.tr) | ||||
| Name of Lecturer(s) | |||||
| Language of Instruction | Turkish | ||||
| Work Placement(s) | None | ||||
| Objectives of the Course | |||||
| The aim of this course is to enable students to effectively use generative artificial intelligence (GAI) tools in a pedagogical context. Students will gain the ability to develop lesson plans, teaching materials and assessment tools using text, image and content generative AI systems. They will also critically evaluate the role of these tools in education by analyzing the dimensions of ethics, reliability and pedagogical appropriateness of GAI in teaching processes. | |||||
| Learning Outcomes | PO | MME | |
| The students who succeeded in this course: | |||
| LO-1 | can explain the concepts of generative artificial intelligence, its basic technologies and its applications in education. |
PO-1 Has theoretical and practical knowledge about artificial intelligence technologies in education. |
Examination |
| LO-2 | can develop lesson plans, teaching materials and content using generative AI tools |
PO-2 Designs creative, original and innovative technology-supported learning environments to enhance learning. PO-4 Designs learning-teaching environments suitable for individual differences by using methods and techniques related to artificial intelligence technologies in teaching profession and education and existing resources effectively. PO-11 Uses artificial intelligence technologies effectively and consciously in learning and teaching environments. |
Performance Project |
| LO-3 | Can create generative AI-powered text, visual and evaluation content. |
PO-2 Designs creative, original and innovative technology-supported learning environments to enhance learning. PO-4 Designs learning-teaching environments suitable for individual differences by using methods and techniques related to artificial intelligence technologies in teaching profession and education and existing resources effectively. PO-11 Uses artificial intelligence technologies effectively and consciously in learning and teaching environments. |
Performance Project |
| LO-4 | can analyze the effects of generative artificial intelligence in educational processes and develop integration strategies. |
PO-2 Designs creative, original and innovative technology-supported learning environments to enhance learning. PO-3 To be able to use the knowledge gained by following national and international researches and innovations in artificial intelligence technologies in education in professional and academic life with theoretical and practical studies. PO-4 Designs learning-teaching environments suitable for individual differences by using methods and techniques related to artificial intelligence technologies in teaching profession and education and existing resources effectively. PO-11 Uses artificial intelligence technologies effectively and consciously in learning and teaching environments. |
Performance Project |
| LO-5 | can evaluate the pedagogical appropriateness and ethical dimensions of generative AI-supported teaching practices. |
PO-1 Has theoretical and practical knowledge about artificial intelligence technologies in education. PO-2 Designs creative, original and innovative technology-supported learning environments to enhance learning. PO-3 To be able to use the knowledge gained by following national and international researches and innovations in artificial intelligence technologies in education in professional and academic life with theoretical and practical studies. PO-4 Designs learning-teaching environments suitable for individual differences by using methods and techniques related to artificial intelligence technologies in teaching profession and education and existing resources effectively. PO-8 Evaluates studies on artificial intelligence technologies in education with a critical perspective, taking into account ethical values. PO-11 Uses artificial intelligence technologies effectively and consciously in learning and teaching environments. |
Examination Term Paper |
| LO-6 | Can develop critical solutions and suggestions for the future of generative artificial intelligence in education. |
PO-2 Designs creative, original and innovative technology-supported learning environments to enhance learning. PO-8 Evaluates studies on artificial intelligence technologies in education with a critical perspective, taking into account ethical values. PO-9 Integrates different disciplines with artificial intelligence technologies in education. PO-11 Uses artificial intelligence technologies effectively and consciously in learning and teaching environments. |
Presentation |
| PO: Programme Outcomes MME:Method of measurement & Evaluation |
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| Course Contents | ||
| This course covers the concept and technologies of generative artificial intelligence, the use of generative artificial intelligence tools in education, generative artificial intelligence-supported applications in instructional design, content and material development processes, personalized learning opportunities, creation of assessment tools, good practice examples and case studies, ethical and pedagogical implications of generative artificial intelligence in education and future evaluations. | ||
| Weekly Course Content | ||
| Week | Subject | Learning Activities and Teaching Methods |
| 1 | Generative AI: Basic Concepts and Underlying Technologies | Lecture, Discussion |
| 2 | Generative AI Tools Used in Education | Demonstration, Review |
| 3 | Opportunities and Challenges of Generative AI in Education | Case Analysis, Brainstorming |
| 4 | Applications of Chatbots in Education | Interactive Presentation, Group Work |
| 5 | Lesson Planning with Generative AI Support | Workshop |
| 6 | Using Generative AI Tools for Text and Content Creation | Workshop |
| 7 | Visual and Media Content Production with Generative AI Tools | Workshop |
| 8 | mid-term exam | |
| 9 | Developing Assessment and Evaluation Materials Using Generative AI | Workshop |
| 10 | Personalized Learning through Generative AI | Presentation, Discussion |
| 11 | Best Practices and Case Studies in the Use of Generative AI | Case Analysis, Group Presentation |
| 12 | Evaluation of Instructional Materials Supported by Generative AI | Review, Discussion |
| 13 | Project Work: Integration of Generative AI into Teaching Processes | Project Development, Mentorship |
| 14 | Final Presentations and General Evaluation | Presentations, Assessment |
| 15 | The Future of Generative AI in Education and Final Reflections | Panel, Open Discussion |
| 16 | final exam | |
| Recommend Course Book / Supplementary Book/Reading | ||
| 1 | Karal, Y. (Ed.). (2024). Üretken Yapay Zeka ve Eğitim, Nobel Akademi Yayıncılık. | |
| Required Course instruments and materials | ||
| Textbook, articles, computer, projector. | ||
| Assessment Methods | |||
| Type of Assessment | Week | Hours | Weight(%) |
| mid-term exam | 8 | 1 | 30 |
| Other assessment methods | |||
| 1.Oral Examination | |||
| 2.Quiz | |||
| 3.Laboratory exam | |||
| 4.Presentation | 10 | 1 | 10 |
| 5.Report | |||
| 6.Workshop | |||
| 7.Performance Project | 5 | 1 | 30 |
| 8.Term Paper | |||
| 9.Project | 15 | 1 | 30 |
| final exam | |||
| Student Work Load | |||
| Type of Work | Weekly Hours | Number of Weeks | Work Load |
| Weekly Course Hours (Theoretical+Practice) | 0 | ||
| Outside Class | |||
| a) Reading | 3 | 14 | 42 |
| b) Search in internet/Library | 3 | 14 | 42 |
| c) Performance Project | 8 | 3 | 24 |
| d) Prepare a workshop/Presentation/Report | 8 | 5 | 40 |
| e) Term paper/Project | 10 | 1 | 10 |
| Oral Examination | 0 | ||
| Quiz | 0 | ||
| Laboratory exam | 0 | ||
| Own study for mid-term exam | 10 | 1 | 10 |
| mid-term exam | 1 | 1 | 1 |
| Own study for final exam | 0 | ||
| final exam | 0 | ||
| 0 | |||
| 0 | |||
| Total work load; | 169 | ||