As an Assistant Professor CSE, I work in colleges and universities where I perform teaching, administrative and research activities. Work responsibilities described includes examples are teaching students, being active in academic committees, publishing in academic journals, assisting PhD students, handling research budgets, and organizing examinations.
Teaching style and methodology I use includes
is kind listens to us is generous has faith in us encourages us keeps confidence takes time to explain likes teaching students • makes things easier to understand helps us when we are stuck likes teaching the subject tells us how we are doing doesn't give up on us cares about our opinion makes us feel clever makes allowances treats us equally stands up for us makes us think in different ways enjoys his/her job.
About result analysis I will include following points:
Identifying Students' Needs: Data analysis helps pinpoint individual students strengths and weaknesses, enabling tailored support for optimal learning experiences. Tracking Student Progress: By analyzing data, educators can monitor students academic growth, allowing timely interventions and adjustments in teaching strategies. Assessing Learning Outcomes: Data analysis evaluates the effectiveness of teaching methods, ensuring alignment with desired learning outcomes and curriculum goals. Differentiating Instructions: Data-driven insights enable teachers to customize instruction based on students' diverse learning styles, ensuring every student receives appropriate guidance. Identifying Effective Teaching Strategies: Analysis of student performance data identifies which teaching methods yield best results, aiding educators in refining their approaches for maximum impact. Enhancing Parent-Teacher Communication: Data analysis shows how well students are doing. making it easier for teachers and parents to talk and work together. Informed Decisions about Instructional Content and Methods: Teachers use data to pick the right materials & ways to teach, making sure they work well in the classroom. M Identifying Areas for Professional Development: Data analysis helps find where teachers might need more training, so they can improve how they teach.
Subjects
-
C (Programming) Beginner-Intermediate
-
SSC Mathematics
-
Engineering Mathematics (B.Tech)
-
Data Structure (C++) Beginner-Intermediate
-
C / C++ & Data Structures Beginner-Intermediate
Experience
No experience mentioned.
Fee details
₹2,000–3,000/hour
(US$23.78–35.68/hour)
Time