Innovative Teaching Practices
Important aspects of applied innovations in teaching and learning include:
- Transition from instructing to inform to instructing to enlighten.
- Make a connection to the "context" of the lessons being taught in the classroom.
- Amplify active learning
- Discuss and put creative ideas into practice in the classroom.
- Make teaching engaging and successful.
- Examine the various responsibilities to enhance the learning environment in the classroom
Following Novel approaches to education are initiated and executed.
- Students gain insight into the real working world and improve their interpersonal skills through industrial tours.
- Based on activities in certain instances, role-playing exercises are utilized in the classroom to encourage pupils to fully comprehend the material.
- Project-based and practical learning
- PowerPoint presentations aid in improving students' visual comprehension of the material.
- MOOCs: Video lectures on relevant subjects from the National Programme on Technology Enhanced Learning (NPTEL), MIT Open Courseware, Massive Open Online Courses (MOOCs), Khan Academy, Research Publications, and other sources are used to teach some advanced topics that are beyond the curriculum.
Faculty Innovations' Objectives for Teaching and Learning
- Revision of the curriculum to align with industry norms is intended to close the gap between academia and industry.
- To enhance the effectiveness and interactivity of the educational process by emphasizing innovative approaches to the use of audio and video resources.
- To cultivate entrepreneurial abilities by motivating students to launch a new company, improve their leadership and communication abilities, and never stop learning.
- Allowing students to engage with guest speakers from other businesses might also prove to be quite advantageous for all parties involved.
Google Classroom For AY 2022-23
|Curriculum Subject Name
|Course Handling Faculty
|Google Class Code
|Google Class Link
|Digital Principles and Computer Organization
|Fundamentals of Data Science and Analytics
|Fundamentals of Economics
|Design and analysis of Algorithm
|Object Oriented Programming
|Object Oriented Programming Lab
|Business Communication Laboratory - 1
|Probability and Statistics
|Database Management Systems
|Introduction to Business Systems
|Environmental Sciences and Sustainability
|Database Management Systems Lab
|Machine Learning Laboratory
|Business Communication Laboratory - II