INNOVATIVE AND CONTEMPORARY TECHNOLOGIES IN EDUCATION

EDS419

Course Code: EDS419
Semester: -
Theory+Practice: 2 + 0
ECTS: 4

Course Type

Elective Course

Course Level

Bachelor's Degree

Year of Study

Semester

ECTS

Name of Lecturer(s)

Learning Outcomes

At the end of this course, the students;

explain the digital competencies framework,
discuss the impact of current and innovative technologies on education,
develop digital content in different formats,
evaluate the ethical issues caused by human machine interaction,
formulate recommendations for the protection of devices, digital content, personal data and privacy in digital environments.

Mode of Delivery

Face to face

Prerequisites

Recommended Optional Programme Components

None

Course Description

Innovative and current technologies in education course covers the opportunities offered by developing technology and methods that personalize learning and use more immersive technologies such as alternative teaching and learning styles. It specifies the fundamentals and advantages of augmented, virtual and mixed reality systems integrated into web and phone applications for educational purposes. In this course, students demonstrate concepts such as artificial intelligence, artificial neural networks and machine learning, how they work in today's intelligent systems such as chatbots and how these systems are trained.

Course Contents

WEEK	TOPICS
1^st Week	Course Introduction
2^nd Week	21st century skills - Digital competences for citizens and educators
3^rd Week	Current Literacies (Artificial Intelligence Literacy, Computational Thinking, Coding, STEAM and 21st Century Skills Relationship)
4^th Week	Innovative and Current Technologies in Education
5^th Week	Web based Learning Technologies
6^th Week	H-learning Models
7^th Week	Augmented, Virtual and Mixed reality systems
8^th Week	3D Virtual Worlds
9^th Week	Programming at an Early Age
10^th Week	Genrative Artificial Intelligence
11^th Week	Human-Machine Interaction and Ethical Issues
12^th Week	Generative AI Text Tools
13^th Week	Generative AI Visual Tools
14^th Week	Generative AI Video/Audio Tools
15^th Week	Generative AI Academic Support / Course Tools

Recommended or Required Reading

Eğitim Teknolojileri Okumaları 2023. (Eds. Buket Akkoyunlu , Hatice Ferhan Odabaşı , Aytekin İşman). Pegem Akademi
Eğitim Teknolojileri Okumaları 2022. (Eds. Buket Akkoyunlu , Hatice Ferhan Odabaşı , Aytekin İşman). Pegem Akademi
Eğitim Teknolojileri Okumaları 2021. (Eds. Buket Akkoyunlu , Hatice Ferhan Odabaşı , Aytekin İşman). Pegem Akademi
Seferoğlu, S. vd. (2022). Eğitimde Yapay Zeka Kuramdan Uygulamaya (Eds. Vasif Nabiyev- Ali Kürşat Erümit). Pegem Akademi
Gülbahar, Y. vd. (2022). Bilgi İşlemsel Düşünmeden Programlamaya (Ed. Yasemin Gülbahar). Pegem Akademi
Gülbahar, Y., Kalelioğlu, F & Adanır - Afacan, G. (2020). Harmanlanmış Öğrenme. Pegem Akademi.

Diğer Okumalar

Vuorikari, R., Kluzer, S. and Punie, Y., DigComp 2.2: The Digital Competence Framework for Citizens - With new examples of knowledge, skills and attitudes, EUR 31006 EN, Publications Office of the European Union, Luxembourg, 2022, ISBN 978-92-76-48882-8, doi:10.2760/115376, JRC128415.
Punie, Y., editor(s), Redecker, C., European Framework for the Digital Competence of Educators: DigCompEdu, EUR 28775 EN, Publications Office of the European Union, Luxembourg, 2017, ISBN 978-92-79-73718-3 (print),978-92-79-73494-6 (pdf), doi:10.2760/178382 (print),10.2760/159770 (online), JRC107466.
Digital skills and competences and successful digital education and training: fit for the digital era.

Açık Ders Önerileri

Educational Programme in AI Literacy(https://www.arin-project.eu/educational-programme-in-ai-literacy/)

AI for Teachers (https://www.edx.org/learn/artificial-intelligence/university-of-british-columbia-ai-for-teachers)

Planned Learning Activities and Teaching Methods

Lecture
Discussion
Questions/Answers
Case Study
Practice
Project
Report Preparation
Presentation

Assessment Methods and Criteria

	Quantity	Percentage (%)
Assignment	3	20
Practice	3	10
Project	1	10
Total(%)		40
Contribution of In-term Studies to Overall Grade(%)		40
Contribution of Final Examination to Overall Grade(%)		60
Total(%)		100

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Midterm exam
Preparation for Quiz
Individual or group work	12	3	36
Preparation for Final exam	1	18	18
Course hours	13	2	26
Preparation for Midterm exam
Laboratory (including preparation)
Final exam	1	1	1
Homework	3	6	18
Project	1	22	22
Total Work Load			121
Total Work Load / 30 (h)			4.03
ECTS Credit of the Course			4

Language of Instruction

Turkish

Work Placement(s)

Programme Qualifications / Learning Outcomes

	LO1	LO2	LO3	LO4	LO5
K1
K2
K3
K4
K5				X	X
K6					X
K7
K8	X	X	X	X	X
K9
K10