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Problem Based learning

By Dr. Indrajit Saha   |   National Institute of Technical Teachers Training and Research, Kolkata
Learners enrolled: 855
Recently, there is a shift from the traditional methods of lecture-based teaching in undergraduate engineering courses to adopt more learner-centered teaching approaches, such as Problem-based Learning (PBL). It would support the engineering faculty members to develop competencies in engineering students by focusing on the “ings” e.g. planning, communicating, designing, problem-solving rather than just having the classes which are dominated by the “ics” e.g. mathematics, physics, dynamics, electronics, etc. PBL also helps to develop problem-solving skills, self-directed learning skills and critical thinking of the students. This course has been divided into five modules like Background of PBL, Implementation issues of PBL in the Classroom, Developing Problems and Tutorial Process in PBL, Assessment and Evaluation in PBL and Domain Specific Applications of PBL with recent research trends. Aim of this course is to help the teachers of engineering education to make their students competent in long term education.
Summary
Course Status : Completed
Course Type : Not Applicable
Duration : 8 weeks
Category :
  • Teacher Education
Credit Points : 2
Level : Undergraduate/Postgraduate
Start Date : 24 Feb 2020
End Date : 17 Apr 2020
Enrollment Ends : 08 Mar 2020
Exam Date : 10 May 2020 IST

Note: This exam date is subjected to change based on seat availability. You can check final exam date on your hall ticket.


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Course layout


Week 01:- 
Module 1: Introduction to Problem Based Learning
Traditional vs. Cognitive Learning
Behavioural Learning
Cognitive Learning
Constructivist Learning
Why PBL?


Week 02:- 
Module 2: Implementation Issues in Problem Based  Learning
Introduction to Implementation Issues in PBL
Factors Not Limited To Tutorial Room
Role of Tutors
Role of Students

Week 03:- 
Module 3: Developing Problems and Tutorial Process
Principles of Problem Design
Seven Steps of Problem Design
PBL Tutorial Process 
PBL Curriculum
Online PBL


Week 04:- 
Module 4: Assessment and Evaluation
Introduction to Assessment and Evaluation
Components of Assessment and Evaluation in PBL
Different forms of Assessment in PBL
Characteristics of assessment and evaluation in PBL
Grading Criteria in PBL

Week 05:
Module 5: PBL Applications and Research Trends
Case Study in Computer Science and Engineering

Week 06:- 
Module 5: PBL Applications and Research Trends
Case Study in Electrical Engineering 

Week 07:- 
Module 5: PBL Applications and Research Trends
Case Study in Mathematical Science

Week 08:- 
Module 5: PBL Applications and Research Trends
Case Study in Mechanical Engineering

Books and references

M. Savin-Baden and C. Howell Major, Foundations of Problem-based Learning. McGraw-Hill Education, 2004

T. J. Newby, D. A. Stepich, J. D. Lehman and J. D.  Russell, Instructional technology for teaching and learning: Designing instruction, integrating computers, and using media. Englewood Cliffs, NJ: Merrill/Prentice-Hall, 1996

S. N. Alessi and S. R. Trollip, Multimedia for learning: methods and development. Needham Heights, MA: Allyn & Bacon, 2001

Guerra, Aida, Ulseth, Ronald, Kolmos, Anette, PBL in Engineering Education: International Perspectives on Curriculum Change, Springer, 2017

MahnazMoallemWoei Hung Nada Dabbagh, The Wiley Handbook of Problem‐Based Learning, Wiley, 2019

Instructor bio













Dr. Indrajit Saha

National Institute of Technical Teachers Training and Research, Kolkata
Dr. Indrajit Saha is a faculty member in the department of Computer Science and Engineering, NITTTR, Kolkata. He received his Ph.D degrees in Computer Science and Engineering and Bioinformatics from Jadavpur University, India and Polish Academy of Sciences, Poland. He has co-authored of more than 50 research papers in various International Journals and Conferences. Currently, he is a Principal Investigator of a bilateral project between India and Poland funded by DST, India on Breast Cancer research. His research interest includes Education Technology, Computational Intelligence, Computational Biology, Machine Learning, Image Processing and Pattern Recognition

Course certificate

The course certificate is provided after undergoing this online course.

Internal Examination - 30% 
  
(Assignments, Online quiz, Active participation in Discussion forum, Change Project)
+
Final Examination - 70% 


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