The Concept of Cohort

AI Cohort is a focused group of faculty members who come together to learn, research, and collaborate on Artificial Intelligence, usually under a structured program.

Significance

1.Collaborative Learning through Semester Readiness Program ( SRP)

• A Cohort consists of a set of courses that belong to a specific domain or specialization. Each Cohort is led by a Cohort In-Charge. Faculty members from various departments within the School of Engineering can voluntarily opt to be part of the Cohort based on their interest and expertise.
• Each course within the Cohort is managed by a Course Coordinator (CC). The CC is responsible for assigning faculty members to individual sections of the course. These faculty members are designated as Class Instructors.
• Class Instructors engage in continuous peer learning. They collaborate through discussions, sharing of experiences, and demonstration-based sessions. This collaborative environment helps them enrich their teaching practices and maintain uniformity in course delivery.
• The teaching team jointly develops the course material, including PowerPoint presentations, Active Learning strategies, home assignments, practical experiments, skill-based exercises, and other instructional resources, all aligned with the defined Course Outcomes.
• The Cohort team has the autonomy to propose the evaluation components for the course. These components are discussed and finalized in meetings with the Course Coordinator. Once agreed upon, they are forwarded for approval to the Dean of Academics.
• Faculty members in the Cohort actively participate in professional development. They regularly attend Faculty Development Programs (FDPs) organized internally by the Academic Staff College of KLEF, as well as external programs conducted by various academic institutions, including those offered through ATAL and other recognized platforms.

2. Structured Progress

• Cohorts usually run for a semester, 14 - 16 weeks, including SRP, with the academic deadlines — it keeps learners consistent and motivated.
• The Cohort In-Charge and the CC are responsible whether the course is conducted smoothly and they conduct weekly meetings and discuss the discrepancies and resolve

3.Practical Exposure

• AI cohorts often involve hands-on projects, hackathons, or publication opportunities.
• You learn not just theory but also deployment, ethics, and real-world AI problem solving.

4.Institutional Significance

• For colleges/universities, forming an AI cohort encourages interdisciplinary research, student innovation, and capacity building — valuable for NAAC, NBA, and AICTE initiatives