EDT5013 Online Collaborative LearningBahçeşehir UniversityDegree Programs ARTIFICIAL INTELLIGENCE ENGINEERINGGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
ARTIFICIAL INTELLIGENCE ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
EDT5013 Online Collaborative Learning Spring
3 0 3 12
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Non-Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Prof. Dr. ŞİRİN KARADENİZ ORAN
Recommended Optional Program Components: None
Course Objectives: Introducing theoretical foundations, design principles and tools of collaborative learning and online collaborative learning. Designing, implementing and evaluating an online collaborative learning environment.

Learning Outcomes

The students who have succeeded in this course;
o Explain theoretical foundations of online collaborative learning (OCL),
o Explain design principles od OCL,
o Use OCL tools,
o Evaluate OCL’s according to instructional design principles,
o Design and implement OCL.

Course Content

Theoretical foundations of collaborative learning and online collaborative learning; online learning processes, design, problems and applications; building online learning communities in online collaborative learning; online collaborative learning tools (electronic mail, intranets, portals, online communities, Weblogs, dashboards, conferences, forums, meeting rooms, learning management, flowchart and information management). Examining and evaluating online collaborative learning cases. Designing, developing, implementing and evaluating an online collaborative learning environment.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction
2) Theoretical foundations of collaborative learning and online collaborative learning
3) Theoretical foundations of collaborative learning and online collaborative learning
4) Process of online collaborative learning design
5) Online collaborative learning tools
6) Online collaborative learning tools
7) Building online learning communities
8) Evaluating online collaborative learning cases Examining the cases
9) Process of online collaborative learning design
10) Design, development, implementation and evaluation of an online collaborative learning environment.
11) Design, development, implementation and evaluation of an online collaborative learning environment.
12) Design, development, implementation and evaluation of an online collaborative learning environment.
13) Design, development, implementation and evaluation of an online collaborative learning environment.
14) Design, development, implementation and evaluation of an online collaborative learning environment.

Sources

Course Notes / Textbooks: Roberts, T.S. (2003). Online Collaborative Learning: Theory and Practice. Information Science Publishing.

Johnson, J., Johnson, R. & Holubec, E. (1994). Cooperative learning in the classroom. Association for Supervision and Curriculum Development, Alexandria, VA. ISBN: 0-87120-2395.
References: Jonassen, D., Howland, J., Moore, J., & Marra, R. (2003). Learning to Solve Problems with Technology: A Constructivist Perspective. Upper Saddle River: Upper Saddle River.

Jyothi, S. (2012). Visualising Interactions in Online Collaborative Learning Environments: An Exploration Of Students' Online Participation.LAP LAMBERT Academic Publishing.

McConnell. (2002). Implementing computer supported cooperative learning (2nd ed.). Sterling, VA: Stylus Publishing Inc.Oosterhof, A., Conrad, R. M., & Ely, D. P. (2008). Assessing Learners Online (1st ed.): Prentice Hall.

Tu, C.H. (2004). Online Collaborative Learning Communities: Twenty-One Designs to Building an Online Collaborative Learning Community.Libraries Unlimited

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 14 % 10
Homework Assignments 2 % 20
Presentation 1 % 10
Project 1 % 60
Total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Presentations / Seminar 1 10 10
Project 1 80 80
Homework Assignments 2 30 60
Total Workload 192

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Have sufficient background in mathematics, science and artificial intelligence engineering.
2) Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions.
3) Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose.
4) Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction.
5) Select and use modern techniques and tools necessary for engineering applications.
6) Design and conduct experiments, collect data, and analyse and interpret results.
7) Work effectively both as an individual and as a multi-disciplinary team member.
8) Access information via conducting literature research, using databases and other resources
9) Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning.
10) Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field.
11) Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level.
12) Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age.
13) Have a sense of professional and ethical responsibility.
14) Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices.