My Teaching Philosophy
My aims in teaching are:
to allow students to assimilate methods and techniques to develop solid problem-solving skills for real-world problems;
to continue to deliver consistently high levels of teaching that are also connected to my research where possible;
to improve the quality of my teaching through the use of new technologies, allowing students to digest theories and methods, and to carry out practical work more easily;
my pedagogical approach is to deliver teaching in an active and engaging way by maximizing the opportunities for the students to actively participate rather than passively absorbing teaching content during lectures; and
to provide timely and appropriate feedback. I design my teaching to give students opportunities to express and to confront themselves with peers for self-evaluation. To obtain this, I have been using and experimenting with various technologies (e.g., Blackboard, Quizdom, piazza, Moodle, Brightspace).
I am committed to developing and using innovative and engaging technologies for providing a first-class student experience. I have experimented on the variety of technologies to provide timely and appropriate feedback to students. I have used QWIZDOM (i.e., an audience response system) in various ways to deliver feedback during contact hours and to make my lecturing more interactive.
I take student feedback seriously. I implement any changes based on the student’s feedback to enhance the modules. I have extensively used different types of evaluation methods to assess my teaching. At the end of each module, I always ask students to provide an anonymous “Student Evaluation of Teacher Effectiveness” using sticky notes, where I ask students to evaluate various aspects of my teaching as well as to freely comment on the activity of the module and on my teaching. The results of these questionnaires are subsequently analyzed to spot strong as well as weak aspects of my activity. The results of this analysis have often triggered changes, revision, or introduction of new material, to correct and improve the students’ learning experience. I would like to emphasize that, reading from comments, the students have been appreciative of my engagement, my passion and enthusiasm in delivering teaching content as well as my attention and interest in monitoring the students’ progress and in searching for new solutions to improve feedback and active participation during contact hours.
The knowledge and the practical experience which I have gathered during PGCERT helped me to improve my teaching and learning methodologies. PGCERT has given me a solid principled understanding of what make teaching a better practice for learning. From my perspective, teaching activities that provide formative feedback, those that make the lecturing more interactive, and self-evaluation activities, are key elements for excellence in teaching, and for creating a productive and supportive learning environment.
I found extremely helpful being evaluated by other members of teaching staff of the University. I also wish to acknowledge how important has been for me the support I received from various colleagues in planning and delivering my teaching. I have had the opportunity to talk to several of my colleagues about teaching. These conversations have focused on various aspects, from those specifically related to planning and delivery of teaching to other aspects related to the behaviour of students in class. Sharing teaching experience is a precious learning task and a source of valuable knowledge.
I always certainly keep on experimenting new ways of designing and planning curricula to directly evaluate solutions and test them in combination with my way of lecturing. I acknowledge that being informed on the latest development in teaching and learning is extremely important for continuing professional development. I will try to keep on attending workshops to keep myself informed on latest technologies available for improving my teaching.
I have been utilizing – (a) flipped classroom; and (b) problem-based learning; teaching and learning methods to deliver module contents to my students. I found these methods very effective especially during the covid-19.
I use C × M × M (C: Curiosity, M: Motivation and M: Mentoring) model for my class. I firmly believe that learning is a self-activity. To engage a student in learning process curiosity need to be developed. In addition motivation is required to push a student for learning. I closely monitor my students progress throughout the semester and provide mentoring/counselling whenever required. I keep office hours for my students to address their queries, but I keep myself available other than the office hours whenever required.
Commitment and Support for My Students
I am fully committed for my teaching and learning activities. I provide all supports to my students. To support my students, I discuss, collect feedback and update my strategies accordingly in the respective module. I provide support to the students in several ways some of them are highlighted below:
Provide learning materials for seminar and tutorial sessions.
Organize quizzes to engage students in the class and provide feedback to them.
Motivating students for active participation in the teaching learning process.
Provide feedback on students work it helps student to organize their learning activities.
Provide support sessions to students during the office hours and other then the office hours whenever student wants which fits in their schedule.
Provide mentorship support to the students and keep tracking their progress.
Provide support and guidance for completing their course works.
Provide support for project work.
Provide guidance for module selection.
Undergraduate Courses
Fundamental of Programming.
Data Structure & Algorithms using C/C++/Java
Object Oriented Programming C++
Java Programming
Data Driven Design using Python
Fundamental of Web Coding
Mobile & Web Application Development
Web Application Development
Artificial Intelligence.
Embedded Systems
Machine Learning Methods
Soft computing and Optimization Techniques
Design and Analysis of Algorithms
Intelligent Systems
Object Oriented Software Modelling
Computer Fundamentals
Computer Organization
Computer Architecture.
Natural Language Processing.
Complex System Design and Analysis
Deep Learning Architecture
Postgraduate Courses
Artificial Intelligence
Soft computing Methods
Machine Learning
Research Methods
Machine Intelligence in Business Development
AI for Healthcare
Data Mining
Data Analytics
Big Data Analytics using Cloud Ecosystem
Natural Language Processing
Teaching & Learning Methods Developed/Used
Pandey, H. M., & Turner, A. (2012). IPLP: A Method to Deliver Programming Techniques by Making Analogy. In Proceedings of the International Conference on Frontiers in Education: Computer Science and Computer Engineering (FECS) (p. 1). The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp).
Pandey, H. M. (2015). Reward feedback and success for inspiring creative Minds: An inspirational model. J of Eng Edu Tr, 47-51.
Hao, L. and Pandey, H.M., 2022. Research on the Positioning Technology of Sports 3D Teaching Action Based on Machine Vision. Mobile Networks and Applications.
Pandey, H. M. (2022). EDUFUSION: Flipped Classroom Based Learning for Different LAB Oriented Modules: Case of Embedded System and Complex Systems.
(In progress: Validating results and feedback)