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Information
| Unit | INSTITUTE OF MEDICAL SCIENCES |
| ANATOMY (MEDICINE) (MASTER) (WITH THESIS) | |
| Code | ANA506 |
| Name | Artificial Intelligence and Automatic Learning in Anatomy Education |
| Term | 2025-2026 Academic Year |
| Term | Fall and Spring |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Doç. Dr. HÜSEYİN ERDEM |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
The aim of this course is to teach the integration of artificial intelligence tools and automated learning systems into anatomy education. The course focuses on AI-powered platforms that offer personalized learning experiences, large language models (LLMs), and digital educational materials.
Course Content
This course explores the use of artificial intelligence and automated learning systems in anatomy education. It examines large language models (LLMs), digital educational materials, and personalized learning systems aimed at enhancing the student experience. The integration of innovative methods such as AI-supported examination systems and gamification techniques into anatomy education is discussed. Additionally, topics such as student performance tracking, feedback mechanisms, and AI-based content generation are addressed, highlighting the advantages that technology offers in the teaching of anatomy.
Course Precondition
There are no prerequisites for this course.
Resources
1. Current articles and online resources.
Notes
Additional readings will be provided during the course.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explains how artificial intelligence is used in anatomy education. |
| LO02 | Defines the concepts of LLM and NLP. |
| LO03 | Evaluates the educational role of large language models (LLMs). |
| LO04 | Analyzes digital educational materials and AI-supported content. |
| LO05 | Assesses personalized learning systems. |
| LO06 | Identifies AI-supported examination and assessment systems. |
| LO07 | Identifies AI-supported feedback and student performance tracking techniques. |
| LO08 | Supports learning through gamification, simulation, and interactive educational materials. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Explains the anatomic concepts and fields of study. | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Desribes normal gross anatomy, neighbourhood of structures, vascularization, innervation, lymphatic drainage and functional relationship of human body. | |
| PLO03 | Bilgi - Kuramsal, Olgusal | Differentiates variations and anomalies of human body. | |
| PLO04 | Bilgi - Kuramsal, Olgusal | Defines surface anatomy of the structures. | |
| PLO05 | Bilgi - Kuramsal, Olgusal | Explains structure-function relationships of human nervous system. | |
| PLO06 | Bilgi - Kuramsal, Olgusal | Supports knowledge of human body structures with basic knowledge of other disciplines related to anatomy. | 2 |
| PLO07 | Bilgi - Kuramsal, Olgusal | Knows about technologies, technical equipment, cadavers, models and microscopic methods required for anatomy field. | 3 |
| PLO08 | Bilgi - Kuramsal, Olgusal | Supplies skills of interpretation, analysis-synthesis by using different research methods to provide new knowledge by integrating anatomy knowledge with knowledge of different disciplines and offers solutions. | 3 |
| PLO09 | Bilgi - Kuramsal, Olgusal | Designs scientific researches in the field of anatomy and writes report. | |
| PLO10 | Bilgi - Kuramsal, Olgusal | Conducts macroscopic and microscopic dissection of the cadaver in compliance with appropriate techniques. | |
| PLO11 | Bilgi - Kuramsal, Olgusal | Determines reference points, surface contours, projections of structures, vessels and nerves on body surface. | |
| PLO12 | Bilgi - Kuramsal, Olgusal | Performs the measurements and animal experimantation about his/her research field. | |
| PLO13 | Bilgi - Kuramsal, Olgusal | Conducts researches on anatomy and related fields independently or as a team-member. | |
| PLO14 | Bilgi - Kuramsal, Olgusal | Presents a seminar about anatomy. | |
| PLO15 | Beceriler - Bilişsel, Uygulamalı | Critically evaluates knowledge about anatomy, directs learning. | 2 |
| PLO16 | Beceriler - Bilişsel, Uygulamalı | Implements vocational development and life-long learning principles related to anatomy field in his/her studies. | 3 |
| PLO17 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Discusses and shares knowledge of anatomy, current developments and his/her studies in written, orally and visually with gorups of anatomy or other fieds. | |
| PLO18 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Communicates in written and orally by using a foreign language. | |
| PLO19 | Yetkinlikler - Öğrenme Yetkinliği | Follows the ethical rules in proceedings after dissection, obtaining, conservation, using process of cadaver. | |
| PLO20 | Yetkinlikler - Öğrenme Yetkinliği | Develops strategies in fields of anatomy, evaluates the findings in the context of scientific and ethical rules. | 2 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to the course: Artificial intelligence and its role in education | Online resources | Öğretim Yöntemleri: Anlatım, Tartışma |
| 2 | LLMs and NLP techniques | Online resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 3 | Anatomy education using LLMs and NLP | Online resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 4 | Digital educational materials and AI-assisted content creation | Online resources | Öğretim Yöntemleri: Anlatım, Beyin Fırtınası |
| 5 | Personalized learning systems | Online resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 6 | AI-supported examination systems | Online resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 7 | Gamification and simulation techniques in education | Online resources | Öğretim Yöntemleri: Anlatım, Beyin Fırtınası |
| 8 | Mid-Term Exam | Online resources | Ölçme Yöntemleri: Ödev, Sözlü Sınav |
| 9 | Digital anatomy atlases and interactive learning | Textbooks | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 10 | Student performance monitoring and feedback systems | Current articles | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 11 | Effectiveness of AI-supported educational materials | Current articles | Öğretim Yöntemleri: Anlatım, Tartışma |
| 12 | AI-based course management systems | Current articles | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 13 | Ethical and security aspects of digital education | Current articles | Öğretim Yöntemleri: Anlatım, Tartışma |
| 14 | AI in education and future trends | Current articles | Öğretim Yöntemleri: Anlatım, Tartışma |
| 15 | General review and presentation preparation | Current articles | Öğretim Yöntemleri: Soru-Cevap, Tartışma |
| 16 | Term Exams | Presentation preparation | Ölçme Yöntemleri: Ödev, Sözlü Sınav |
| 17 | Term Exams | Presentation preparation | Ölçme Yöntemleri: Ödev, Sözlü Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 4 | 56 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 15 | 15 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 10 | 10 |
| Final Exam | 1 | 20 | 20 |
| Total Workload (Hour) | 143 | ||
| Total Workload / 25 (h) | 5,72 | ||
| ECTS | 6 ECTS | ||