Innovations by the Faculty in Teaching and Learning

The SMEC - Department of Artificial Intelligence and Data Science (AI & DS) faculties are practicing 14 Innovative teaching methods to improve the student’s interest and their performance in academic as shown below.
1. ICT Methods
2. Flipped Classrooms
3. Brain storming sessions
4. Project Based Learning
5. Google Classrooms
6. Concept based animated videos
7. Integration of NPTEL Video lectures in teaching learning process
8. Activity based learning
9. Industrial Visit
10. Learning through MOOCs resources
11. Student’s Innovative projects

1. ICT Methods

The Department of Artificial Intelligence and Data Science (AI & DS) facilitated with Wi-Fi enabled 12 ICT class rooms and 8 ICT laboratories for replacing chalkboards to become integral in teachinglearning interaction.
Utilization:
• The Faculty members of CSE are highly encouraged to use power point presentation, Video Lecturing and Animated Videosfor delivering lecture through ICT methodology.
• The Faculty members prepared PPT for course related topics which can be carried into classroom and demonstrate it in an effective manner to the students.
Outcomes:
• Department of CSE faculties and students utilized ICT methods in effective manner for their teaching and learning process.


2. Flipped Classrooms

The Department of Artificial Intelligence and Data Science (AI & DS) faculties areencouraging the students to learn about advanced topics given by the faculty and also motivating the student to present in front of the students.
Implementation
• The faculties give the notes for the next day lecture topic to the students to go through before coming to the college.
• During the class hour the student will act like faculty to explain the topics to other students in the class.
• The faculty interact with students to give deep understanding on allotted topics through some real world example.
Outcomes
• This innovative method improves the student peer to peer interaction and overcomes stage fear.


3. Brainstorming Sessions

The Department of Artificial Intelligence and Data Science (AI & DS) faculty practicing Brainstorming Sessions for students to create group creativity technique to find a conclusion for a specific problem to make them to understand the complicated problem oriented topics.
List of Brainstorming Topics
• Algorithm and Complexity
• Encrypting and Decrypting Data
• Technical Programming Skills
• Puzzles
Outcomes
• Achieve group thinking and innovation thinking between the team members to solve the problems.


4. Project Based Learning

The Department of Artificial Intelligence and Data Science (AI & DS) faculties are practicing Project Based Learning in class and it gives the opportunity to develop students knowledge and skills through engaging projects by involving in depth study and investigation of real world problems.
Implementation
• The Department of Artificial Intelligence and Data Science (AI & DS) faculty assigning two mini projects to the students as per the course file based on the subject.
• The project titles were given to the students to make them understand their thinking capability.
• Faculties are encouraging and guiding the students to come with new ideas for project implemetations.
Outcomes
• The Department of Artificial Intelligence and Data Science (AI & DS) Students obtained knowledge to overcome real world problems.


5. Google Classrooms

The Department of Artificial Intelligence and Data Science (AI & DS) facultiesare practicingGoogle Classroomsto simplify creating, distributing, and grading assignments in a paperless way to the students.
Utilization
• Faculty can post course materials, assignments through Gmail accounts.
• The students can utilizes the course materials and answering for the assignment questions through online. Students also post the queries to the faculty through this Google class room interaction.
• Google Classroom can save faculty and students’ time and make the learning process more effective.
Outcomes
• Google Classroom saves faculty and students’ time and makes learning process more effective in a paperless way.


6. Concept Based Animated Videos

The Department of Artificial Intelligence and Data Science (AI & DS) faculties arepracticinganimated videos to the students,based on the related subject topics to improve effective learning and understanding.
Implementation
• Faculties prepare the complicated topics along with the animated videos for students to make them to understand in easier way.
• After watching the animated videos, students interact with the faculty for any clarifications.
Outcomes
• It increases the level of interest in teaching and encourages more attention with better understanding.


7. Integration of NPTEL Video lectures in teaching - learning


The Department of Artificial Intelligence and Data Science (AI & DS) faculties areutilizing eminent professor’s NPTEL video lectures to the students for well understanding of the complex and advanced topics.
NPTEL Video Links
• https://nptel.ac.in
• Java Subject :http://nptel.ac.in/courses/106106147/1
• CO Subject: https://nptel.ac.in/courses/106106092/
• Computer Network Subject: https://nptel.ac.in/courses/106105080/
Outcomes
• The Departement of Artificial Intelligence and Data Science (AI & DS) students understand the advanced topics throgh NPTEL videos. It enhanced the quality of engineering education by providing curriculum-based video and web courses.


8. Activity Based Learning


The Department of Artificial Intelligence and Data Science (AI & DS) faculties arePracticing Activity Based Learning course to educate students by converting the concept into activities.
Implementation
• The course faculties make interaction with students to encourage to do some activity based on course topics in class room.
Topics Like
• Linked List
• Tree Structure’s
• Stack
• Queue
Outcomes
• Through activity based learning all students are abled to understand the concepts easily with simple activities.


9. Industrial Visits

The Department of Artificial Intelligence and Data Science (AI & DS) faculty is arranging Industrial Visits for II to IV year students in every academic year.
Implementation
• The Department of Artificial Intelligence and Data Science (AI & DS) is conducting industrial visits to fulfill the gap between institution and industry.
Outcomes
• Students acquired practical knowledge, awareness, functions and operations of the visited Industry.


10. Learning through MOOCs resources

The Department of Artificial Intelligence and Data Science (AI & DS) faculties areencouraging the students to enroll in MOOCs to learn and utilize free online courses.
Utilization
• The Department of Artificial Intelligence and Data Science (AI & DS) Facultiesgive awareness to the students about the MOOC courses importance and also to assist formal education and online learning, especially in the technology.
• MOOCs is like a distance education in online to educate the students.
• The Students utilizing the resources through enrollment in online based on their interested topics.
Outcomes
• Providing carrier guidance to the students.
• Creates opportunity for the students to share ideas and knowledge.


11. Students Innovative Projects

The Department of Artificial Intelligence and Data Science (AI & DS) faculties are encouraging the students to carry out the innovative projects by using recent technologies.
Implementation
• The department project coordinator allocates the faculties as project guides for the students to develop their mini and major project based on their interested domain.
• The faculties are encouraging the students to think innovatively and recent problems in the research areas.
• The faculties select best innovative project and encourage them to participate in Project Expos within the state and outside the state.
Outcomes
• Students are able to develop real time projects, prototypes, and models.
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