B.Ed in Computer Science
The B.Ed in Computer Science course is designed to prepare student-teachers
to teach Computer Science effectively at the secondary and higher secondary
levels. The course emphasizes computational thinking, programming skills,
problem-solving, lesson planning, and the effective use of modern
information and communication technologies in teaching.
Course Objectives
- To prepare individuals to teach Computer
Science at the school level.
- To understand fundamental concepts of
Computer Science.
- To develop programming, logical thinking and
problem-solving skills.
- To apply innovative, learner-centered and
technology-based teaching methods.
UNIT – I : Aims and Objectives of Teaching Computer Science
- Computer Science – Meaning, Nature, Scope,
Need and Significance.
- Values, Aims and Objectives of Teaching
Computer Science in Schools.
- Instructional Objectives and Behavioural
Objectives in Computer Science.
- Need and Importance of Instructional
Objectives.
- Bloom’s Taxonomy – Cognitive, Affective and
Psychomotor Domains.
- Revised Bloom’s Taxonomy (2001 – Anderson &
Krathwohl).
UNIT – II : Teaching Skills
- Micro-Teaching – Concept, Definition, Steps
and Cycle.
- Micro-Teaching versus Macro-Teaching.
- Skill of Set Induction.
- Skill of Explaining and Skill of
Questioning.
- Skill of Stimulus Variation and
Reinforcement.
- Skill of Non-verbal Clues and Skill of
Closure.
- Link Lesson and Model Episode.
UNIT – III : Approaches of Teaching
- Approaches of Lesson Planning and its Steps.
- Organizing Teaching at Memory Level –
Herbartian Model.
- Organizing Teaching at Understanding Level –
Morrison Teaching Model.
- Organizing Teaching at Reflective Level –
Bigge and Hunt Teaching Model.
- Unit Plan and Lesson Plan Writing.
UNIT – IV : Methods of Teaching
- Teacher-Centered Instruction – Lecture
Method.
- Demonstration Method and Laboratory Method.
- Learner-Centered Instruction – Self
Learning.
- Problem-Solving Method and Project Method.
- Computer Assisted Instruction and
Programming-Based Learning.
- Activity Based Learning (ABL) and
Collaborative Learning.
- Active Learning Method (ALM) and Advanced
Active Learning Method (AALM).
UNIT – V : Instructional Media
- Classification of Instructional Media in
Computer Science.
- Use of Computers, Software Tools and Digital
Learning Platforms.
- Use of Internet, Multimedia and Virtual
Labs.
- Computer Networking and Cloud-Based
Resources.
- Blended Learning, Flipped Classroom.
- Artificial Intelligence, Coding Platforms
and Augmented Reality.
Curriculum Includes
- Programming Languages and Algorithms.
- Data Structures and Computer Fundamentals.
- Database Management Systems and Web
Technologies.
- Pedagogy of Computer Science.
- Practical Programming, Projects and ICT
Integration.
Join Us Today!
Become a skilled Computer Science teacher capable of empowering students
with digital literacy, programming skills, and problem-solving abilities
required in the modern technological world.
Enroll now.
