Journal Press India®

ELSE: A Novel Framework for Academically Weak Students in STEM Courses

Vol 3 , Issue 2 , July - December 2023 | Pages: 1-23 | Research Paper

Author Details ( * ) denotes Corresponding author

1. * Deepa Joshi, Assistant Professor , School of Computer Science , UPES, Dehradun , Uttarakhand, India (
2. Anurag Jain, Associate Professor, School of Computer Science, UPES, Dehradun, Uttarakhand, India (
3. Vidyanand Mishra, Assistant Professor, School of Computer Science, UPES, Dehradun, Uttarakhand, India (
4. Neelu Jyothi Ahuja, Professor, School of Computer Science, UPES, Dehradun, Uttarakhand, India (
5. Sunil Rai, Professor, Chancellor, UPES, Dehradun, Uttarakhand, India (

This research introduces the Extra Learning Support for Excellence (ELSE) framework, designed to address the learning gaps experienced by students struggling in STEM courses. Conducted in two phases (2019 and 2021), the study explored targeted interventions to improve academic performance. Phase I implemented a four-week pilot program for first and second-year computer science and engineering students, featuring additional subject-specific study sessions led by experts. Notably, students attending over 80% of these sessions demonstrated significant improvement (average increase of 18.83%, 16.33%, and 18.15%). Building on this success, Phase II incorporated project-based learning, assigning academically challenged students as project leads to foster collaboration and practical skills. This shift yielded encouraging results, with students recording an average growth of 17.49%, 23.08%, 15.87%, 12.19%, and 14.3% in five key STEM courses. The research further proposes enriching the ELSE framework by integrating industry-based projects and inviting industry professionals to lead sessions. This collaboration aims to expose students to real-world challenges, develop key competencies, and prepare them for the dynamic demands of the professional STEM landscape. In conclusion, the ELSE framework, through its phased approach and focus on project-based and industry-oriented learning, emerges as a promising strategy to bridge educational gaps and cultivate well-rounded, competent STEM professionals.


Remedial Classes; Tertiary Education; STEM Course; Higher Education; ELSE

  1. Ministry of Education (n.d.). All India Survey on Higher Education (AISHE) 20XX-XX. Retrieved from Final%20Report%202020-21.pdf
  2. University Grants Commission (2020-21). Annual report. Retrieved from
  3. Ehrenberg, R. G. (2010). Analyzing the factors that influence persistence rates in STEM field, majors: Introduction to the symposium. Economics of Education Review, 29(6), 888-891.
  4. Faulkner, F., Hannigan, A. & Fitzmaurice, O. (2014). The role of prior mathematical experience in predicting mathematics performance in higher education. International Journal of Mathematical Education in Science and Technology, 45(5), 648-667.
  5. Kokkelenberg, E. C. & Sinha, E. (2010). Who succeeds in STEM studies? An analysis of Binghamton University undergraduate students. Economics of Education Review, 29(6), 935-946.
  6. National Research Council (2011). Successful K-12 STEM education: Identifying effective approaches in science, technology, engineering, and mathematics. National Academies Press.
  7. Kreysa, P. G. (2006). The impact of remediation on persistence of under-prepared college students. Journal of College Student Retention: Research, Theory & Practice, 8(2), 251-270.
  8. Boatman, A. & Long, B. T. (2018). Does remediation work for all students? How the effects of postsecondary remedial and developmental courses vary by level of academic preparation. Educational Evaluation and Policy Analysis, 40(1), 29-58.
  9. Derr, K., Hübl, R. & Ahmed, M. Z. (2018). Prior knowledge in mathematics and study success in engineering: informational value of learner data collected from a web-based pre-course. European Journal of Engineering Education, 43(6), 911-926.
  10. Duchini, E. (2017). Is college remedial education a worthy investment? New evidence from a sharp regression discontinuity design. Economics of Education Review, 60, 36-53.
  11. Chandna, V. K. (2015 October). Course outcome assessment and improvement on weak student. In 2015 IEEE 3rd International Conference on MOOCs, Innovation and Technology in Education (MITE) (pp. 38-40). IEEE.
  12. Sgobbi, F. (2020). The effectiveness of remedial courses: The case of undergraduate students in industrial engineering. Retrieved from https://reposito
  13. De Paola, M. & Scoppa, V. (2014). The effectiveness of remedial courses in Italy: A fuzzy regression discontinuity design. Journal of Population Economics, 27(2), 365-386.
  14. Kreysa, P. G. (2006). The impact of remediation on persistence of under-prepared college students. Journal of College Student Retention: Research, Theory & Practice, 8(2), 251-270.
  15. Bahr, P. R. (2008). Does mathematics remediation work? A comparative analysis of academic attainment among community college students. Research in Higher Education, 49(5), 420-450.
  16. Gupta, N., Vrat, P. & Ojha, R. (2022). Key drivers that impact the quality of education–a holistic approach. Journal of Advances in Management Research, 19(3), 488-510.
  17. Eather, N., Mavilidi, M. F., Sharp, H. & Parkes, R. (2022). Programmes targeting student retention/success and satisfaction/experience in higher education: A systematic review. Journal of Higher Education Policy and Management, 44(3), 223-239.
  18. Baker, S. R. (2004). Intrinsic, extrinsic, and motivational orientations: Their role in university adjustment, stress, well-being, and subsequent academic performance. Current Psychology, 23(3), 189-202.
  19. Teixeira, R. J., Brandão, T. & Dores, A. R. (2021). Academic stress, coping, emotion regulation, affect and psychosomatic symptoms in higher education. Current Psychology, 41(11), 1-10.
  20. Agarwal, P. (2006). Higher education in India: The need for change. ICRIER Working Paper, Indian Council for Research on International Economic Relations: No. 180.
  21. Sharma, S. & Sharma, P. (2015). Indian higher education system: Challenges and suggestions. Electronic Journal for Inclusive Education, 3(4), 6.
  22. Bihari S. (2023 July). Analyzing the challenges and prospects of Gross Enrollment Ratio (GER) in higher education. Multidisciplinary Approach in Arts, Science & Commerce, 5, 10-31.
  23. Ministry of Human Resource Development (2019). All India survey on higher education. Retrieved from mhrd/files/statistics-new/aishe_eng.pdf
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