Nevşehir Hacı Bektaş Veli University Course Catalogue
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| Year/Semester of Study | 1 / Fall Semester | ||||
| Level of Course | 2nd Cycle Degree Programme | ||||
| Type of Course | Compulsory | ||||
| 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 | ŞEYHMUS AYDOĞDU (saydogdu@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 recognize the basic concepts of scientific research, to comprehend the importance of science and scientific research, to gain knowledge and skills about the steps to be followed in the scientific research process. | |||||
| Learning Outcomes | PO | MME | |
| The students who succeeded in this course: | |||
| LO-1 | Can explain the basic concepts of scientific research. |
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-5 Has scientific and analytical thinking skills. PO-6 Conducts scientific studies independently or as a member of a team, using research methods and techniques. PO-7 Develops and applies data collection tools in scientific research and analyzes the collected data with statistical methods. PO-8 Evaluates studies on artificial intelligence technologies in education with a critical perspective, taking into account ethical values. |
Examination |
| LO-2 | Can explain the steps to be followed in the scientific research process. |
PO-5 Has scientific and analytical thinking skills. PO-6 Conducts scientific studies independently or as a member of a team, using research methods and techniques. PO-7 Develops and applies data collection tools in scientific research and analyzes the collected data with statistical methods. |
Examination |
| LO-3 | Can carry out the research process in accordance with scientific ethical rules. |
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-5 Has scientific and analytical thinking skills. PO-6 Conducts scientific studies independently or as a member of a team, using research methods and techniques. PO-7 Develops and applies data collection tools in scientific research and analyzes the collected data with statistical methods. PO-9 Integrates different disciplines with artificial intelligence technologies in education. |
Examination Term Paper |
| PO: Programme Outcomes MME:Method of measurement & Evaluation |
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| Course Contents | ||
| This course covers basic concepts of scientific research, definition of research problem and research questions, characteristics of quantitative and qualitative research, determination of sample, design of data collection tools, validity and reliability of research, experimental designs, relational research, survey research, case study, action research, reporting and scientific ethics. | ||
| Weekly Course Content | ||
| Week | Subject | Learning Activities and Teaching Methods |
| 1 | Basic concepts of scientific research | Lecture, Question and Answer, Discussion |
| 2 | Research problem and research questions | Lecture, Question and Answer, Discussion |
| 3 | Research problem and research questions | Lecture, Question and Answer, Discussion |
| 4 | Literature Review | Lecture, Question and Answer, Discussion |
| 5 | Literature Review | Lecture, Question and Answer, Discussion |
| 6 | Method: Characteristics of qualitative and quantitative research | Lecture, Question and Answer, Discussion |
| 7 | Determination of sample/participant | Lecture, Question and Answer, Discussion |
| 8 | mid-term exam | |
| 9 | Data collection tools | Lecture, Question and Answer, Discussion |
| 10 | Data collection tools | Lecture, Question and Answer, Discussion |
| 11 | Data analysis, validity and reliability | Lecture, Question and Answer, Discussion |
| 12 | Reporting of the Research | Lecture, Question and Answer, Discussion, Individual Study Method |
| 13 | Reporting of the Research | Lecture, Question and Answer, Discussion, Individual Study Method |
| 14 | Scientific Ethics | Lecture, Question and Answer, Discussion |
| 15 | Scientific Ethics | Lecture, Question and Answer, Discussion |
| 16 | final exam | |
| Recommend Course Book / Supplementary Book/Reading | ||
| 1 | Büyüköztürk, Ş., Kılıç, E., Akgün, Ö. E., Karadeniz, Ş. ve Demirel F. (2016). Bilimsel araştırma yöntemleri. 22. Baskı. Ankara: Pegem A Yayıncılık. | |
| 2 | Karasar, N. (2015). Bilimsel araştırma yöntemi. 15. Baskı. Ankara: Nobel Yayın Dağıtım. | |
| 3 | Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2012). How to design and evaluate research in education (Vol. 7, p. 429). New York: McGraw-hill. | |
| Required Course instruments and materials | ||
| extbook, laptop | ||
| Assessment Methods | |||
| Type of Assessment | Week | Hours | Weight(%) |
| mid-term exam | 8 | 1 | 40 |
| Other assessment methods | |||
| 1.Oral Examination | |||
| 2.Quiz | |||
| 3.Laboratory exam | |||
| 4.Presentation | |||
| 5.Report | |||
| 6.Workshop | |||
| 7.Performance Project | |||
| 8.Term Paper | 16 | 1 | 30 |
| 9.Project | |||
| final exam | 16 | 1 | 30 |
| Student Work Load | |||
| Type of Work | Weekly Hours | Number of Weeks | Work Load |
| Weekly Course Hours (Theoretical+Practice) | 3 | 14 | 42 |
| Outside Class | |||
| a) Reading | 2 | 10 | 20 |
| b) Search in internet/Library | 2 | 10 | 20 |
| c) Performance Project | 0 | ||
| d) Prepare a workshop/Presentation/Report | 0 | ||
| e) Term paper/Project | 4 | 10 | 40 |
| Oral Examination | 0 | ||
| Quiz | 0 | ||
| Laboratory exam | 0 | ||
| Own study for mid-term exam | 4 | 7 | 28 |
| mid-term exam | 1 | 1 | 1 |
| Own study for final exam | 4 | 7 | 28 |
| final exam | 1 | 1 | 1 |
| 0 | |||
| 0 | |||
| Total work load; | 180 | ||