Course Structure Overview
The B.Tech in Education program at D A V University Jalandhar is meticulously designed to ensure a comprehensive and progressive learning experience over four years. The curriculum is divided into 8 semesters, each with a carefully selected blend of core courses, departmental electives, science electives, and laboratory sessions.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| I | EDU101 | Introduction to Education | 3-0-0-3 | - |
| I | EDU102 | Psychology of Learning | 3-0-0-3 | - |
| I | EDU103 | Teaching Methodologies | 3-0-0-3 | - |
| I | EDU104 | Introduction to Educational Technology | 3-0-0-3 | - |
| I | EDU105 | English for Academic Purposes | 3-0-0-3 | - |
| I | SC101 | Physics for Educators | 3-0-0-3 | - |
| I | SC102 | Chemistry for Education | 3-0-0-3 | - |
| I | L101 | Lab: Educational Tools and Techniques | 0-0-3-1 | - |
| I | L102 | Lab: Teaching Demonstrations | 0-0-3-1 | - |
| II | EDU201 | Educational Psychology | 3-0-0-3 | EDU102 |
| II | EDU202 | Curriculum Design and Evaluation | 3-0-0-3 | - |
| II | EDU203 | Assessment Strategies in Education | 3-0-0-3 | - |
| II | EDU204 | Philosophy of Education | 3-0-0-3 | - |
| II | EDU205 | Technology Integration in Classrooms | 3-0-0-3 | EDU104 |
| II | SC201 | Biology for Educators | 3-0-0-3 | - |
| II | L201 | Lab: Educational Research Methods | 0-0-3-1 | - |
| II | L202 | Lab: Interactive Teaching Techniques | 0-0-3-1 | - |
| III | EDU301 | Inclusive Education Practices | 3-0-0-3 | EDU201 |
| III | EDU302 | Special Needs Teaching | 3-0-0-3 | - |
| III | EDU303 | Educational Research and Data Analysis | 3-0-0-3 | EDU205 |
| III | EDU304 | Learning Analytics | 3-0-0-3 | EDU205 |
| III | EDU305 | Leadership in Education | 3-0-0-3 | - |
| III | L301 | Lab: AI in Educational Applications | 0-0-3-1 | - |
| IV | EDU401 | Educational Policy and Governance | 3-0-0-3 | EDU202 |
| IV | EDU402 | Global Education Trends | 3-0-0-3 | - |
| IV | EDU403 | Digital Storytelling in Teaching | 3-0-0-3 | EDU205 |
| IV | EDU404 | Community Engagement and Education | 3-0-0-3 | - |
| IV | EDU405 | Capstone Project Preparation | 3-0-0-3 | - |
| IV | L401 | Lab: Capstone Research | 0-0-3-1 | - |
| V | EDU501 | Advanced Curriculum Design | 3-0-0-3 | EDU302 |
| V | EDU502 | Educational Innovation and Entrepreneurship | 3-0-0-3 | - |
| V | EDU503 | Advanced Learning Analytics | 3-0-0-3 | EDU304 |
| V | EDU504 | Teaching in Multilingual Environments | 3-0-0-3 | - |
| V | EDU505 | Educational Technology Implementation | 3-0-0-3 | EDU205 |
| V | L501 | Lab: Educational Apps Development | 0-0-3-1 | - |
| VI | EDU601 | Research and Thesis Writing | 3-0-0-3 | - |
| VI | EDU602 | Educational Leadership and Management | 3-0-0-3 | - |
| VI | EDU603 | Advanced Inclusive Education | 3-0-0-3 | EDU301 |
| VI | EDU604 | International Educational Systems | 3-0-0-3 | - |
| VI | EDU605 | Capstone Project Implementation | 3-0-0-3 | - |
| VI | L601 | Lab: Capstone Application | 0-0-3-1 | - |
| VII | EDU701 | Capstone Project Defense | 3-0-0-3 | - |
| VII | EDU702 | Internship in Education Sector | 3-0-0-3 | - |
| VIII | EDU801 | Final Project Submission | 3-0-0-3 | - |
| VIII | EDU802 | Capstone Presentation | 3-0-0-3 | - |
Advanced Departmental Electives
The department offers several advanced elective courses that allow students to explore specialized areas within the field of education:
- AI in Education: This course delves into how artificial intelligence can be leveraged to enhance personalized learning, automate assessments, and improve educational outcomes. Students learn about machine learning algorithms, natural language processing, and data-driven decision-making.
- Educational Game Design: Designed for students interested in gamification, this course teaches the principles of game design and how they can be applied to educational contexts. It covers topics such as motivation theory, level design, and user experience in learning environments.
- Learning Analytics and Data Mining: This course focuses on extracting meaningful insights from educational data using statistical methods and machine learning techniques. Students learn to interpret trends in student performance, identify at-risk learners, and optimize instructional strategies.
- Digital Storytelling in Teaching: A creative approach to integrating narrative elements into education, this course helps students understand how storytelling can be used to engage learners and convey complex concepts effectively.
- Educational Policy Analysis: This course provides an in-depth understanding of policy frameworks that shape educational systems globally. Students analyze the impact of legislation on access, equity, and quality in education.
- Special Education and Neurodiversity: Students explore the needs of learners with diverse cognitive and emotional profiles, learning how to design inclusive curricula and implement evidence-based interventions.
- Educational Leadership and Change Management: This course prepares students for leadership roles in educational institutions by teaching them about organizational behavior, strategic planning, and change implementation.
- Global Education Systems: An international perspective on education systems, this course compares and contrasts different models across countries, focusing on their strengths, challenges, and innovations.
- Early Childhood Development: This course examines the critical stages of child development from birth to age five, emphasizing play-based learning, family involvement, and curriculum design for young learners.
- Educational Technology Implementation: Students learn how to integrate new technologies into existing educational frameworks, considering factors such as cost, accessibility, and effectiveness in enhancing student engagement.
Project-Based Learning Philosophy
The department strongly believes in project-based learning as a cornerstone of effective education. The philosophy emphasizes active participation, critical thinking, and real-world application of knowledge. Students engage in both mini-projects and a final-year capstone project that allows them to synthesize their learning and contribute original insights to the field.
Mini-projects are assigned during the second and third years and typically span 2-3 months. These projects encourage students to apply theoretical concepts in practical settings, often collaborating with local schools or NGOs. Examples include designing a curriculum for a specific age group, developing an educational app, or conducting a small-scale research study.
The final-year thesis/capstone project is a comprehensive endeavor that spans the entire semester. Students work closely with faculty mentors to select a topic, conduct research, and produce a substantial piece of work that demonstrates their expertise in education. The evaluation criteria include originality, depth of analysis, methodology, presentation quality, and peer review.
Project selection is guided by student interests, faculty expertise, and current trends in the field. Faculty mentors are chosen based on their research background and availability to provide ongoing support throughout the project lifecycle.