İngilizce Öğretmenliği
Lisans	Programın Süresi: 4	Kredi Sayısı: 240	TYYÇ: 6. Düzey	QF-EHEA: 1. Düzey	EQF: 6. Düzey

Ders Genel Tanıtım Bilgileri

School/Faculty/Institute

Faculty of Education

Course Code

EDS 332

Course Title in English

Mastering AI Chatbots

Course Title in Turkish

Mastering AI Chatbots

Language of Instruction

Type of Course

Flipped Classroom

Level of Course

Introductory

Semester

Fall

Contact Hours per Week

Lecture: 3

Recitation:

Lab:

Other:

Estimated Student Workload

126 hours per semester

Number of Credits

5 ECTS

Grading Mode

Standard Letter Grade

Pre-requisites

None

Expected Prior Knowledge

None

Co-requisites

None

Registration Restrictions

Only Undergraduate Students

Overall Educational Objective

To learn about AI chatbots, their functions, limitations, and how to use them effectively.

Course Description

The primary aim of this course is for students to become adept with AI chatbots and learn how to effectively use and apply these tools in various situations. Throughout the course, students will become proficient in AI chatbots, from grasping their technology to using them strategically. On the course, students will explore the basics of chatbots while also assessing their impact on education, jobs, and society. They will also delve into how AI is influencing themselves personally, as well as individuals and their relationships with learning, technology, and society. Additionally, students will discover ways to practically enhance their AI user experience, all while considering ethical concerns. They will also investigate the limitations and challenges of AI chatbots and their role in learning. Ethical considerations and real-world examples will be discussed to provide insights into AI chatbot development. Moreover, students will examine AI threats, ethical guidelines, and the responsibilities that educators, schools, and universities have in this context. They will also explore upcoming trends and innovations in AI chatbots, preparing them for the ever-changing landscape of AI technology. The course will emphasize hands-on experience, and by the end of it, students will have configured and trained an AI chatbot to meet their individual needs. Consequently, students will have acquired skills in AI comprehension, critical thinking, ethical considerations, and practical application, enabling them to navigate the world of AI effectively.

Course Description in Turkish

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) Yapay zeka teknolojisinin etkisine uyum sağlayan sorumlu bir öğrenme yaklaşımını teşvik etmek için stratejiler geliştirme
2) Yapay zekanın bireyler, eğitim, toplum, endüstriler ve küresel manzara üzerindeki etkisini analiz etme
3) Gerçek dünyadaki yapay zeka ikilemlerini eleştirel bir şekilde değerlendirme ve bu ikilemleri çözmeye yönelik mevcut çabaları değerlendirme
4) Çeşitli araç ve platformları kullanarak özel ihtiyaçlarına göre uyarlanmış temel bir yapay zeka sohbet robotunu yapılandırma ve eğitme
5) Etkili etkileşim stratejileri, etik hususlar ve bilinçli karar verme yoluyla yapay zeka sohbet robotlarının yetkin kullanımını gösterme

Program Learning Outcomes/Course Learning Outcomes	1	2	3	4	5
1)
2)
3)
4)
5)
6)
7)
8)
9)
10)
11)
12)
13)
14)

Relation to Program Outcomes and Competences

N None	S Supportive	H Highly Related

	Program Outcomes and Competences	Level	Assessed by
1)		N
2)		N
3)		N
4)		N
5)		N
6)		N
7)		N
8)		N
9)		N
10)		N
11)		N
12)		N
13)		N
14)		N

Prepared by and Date	CAROLINE KURBAN ,
Course Coordinator	HANDE ÖZKAN
Semester	Fall
Name of Instructor	Öğr. Gör. CAROLINE KURBAN

Course Contents

Hafta	Konu
1)
2)
3)
4)
5)
6)
7)
8)
9)
10)
11)
12)
13)
14)
15)
16)

Required/Recommended Readings

Readings will be provided based on the book The Impact of ChatGPT on Higher Education: Exploring the AI Revolution (Fell Kurban & Sahin, in print)

Teaching Methods

This course will follow the flipped learning approach. Students will be required to prepare in advance of each class by engaging with the pre-class videos and materials in the LMS. In class, students are expected to work both independently and in teams during in-class activities. The end-of-course performance task will be completed individually.

Homework and Projects

Pre-class Quizzes (20%) Participation activities throughout the course, to include: A critique of an AI detection tool (5%) A paper discussing how ChatGPT was used as a search engine, then fact-checked against primary sources (5%) A reflection paper on the importance of foundational learning, how AI may affect this, and what should be done to avoid this (5%) A critique of flowchart for AI-resilient teaching and learning (5%) The development of a personalized prompt bank (5%) A personal diary on how ChatGPT was used for other tasks outside the realm of education (5%) A SWOT analysis of generalized versus specialized bots (5%) Participation in a debate on the ethical implications of a real-world AI dilemma, such as, “Should self-driving cars be programmed to kill if it means saving the lives of more people?” (5%) End-of-Course Performance Task - Configuring an AI chatbot for personal use (40%)

Laboratory Work

Computer Use

Free versions of AI Chatbots

Other Activities

Assessment Methods

Assessment Tools	Count	Weight
Devam	8	% 40
Küçük Sınavlar	1	% 20
Rapor Teslimi	1	% 40
TOTAL		% 100

Course Administration

ECTS Student Workload Estimation

Activity	No/Weeks	Hours			Calculation
	No/Weeks per Semester	Preparing for the Activity	Spent in the Activity Itself	Completing the Activity Requirements
Ders Saati	14	2	3	1	84
Ödevler	6	2			12
Final	1	28	2		30
Total Workload					126
Total Workload/25					5.0
ECTS					5