Fusion: Practice and Applications FPA 2692-4048 2770-0070 10.54216/FPA https://www.americaspg.com/journals/show/3600 2018 2018 Associate Professor, Department of Applied Sciences, Mathematics, KIET Group of institutions, Delhi NCR, Modinagar , Ghaziabad, Uttar Pradesh, 201206, India Hemant Hemant Research & Development Cell, Poornima University, Jaipur (Rajasthan), India Hemant K. Upadhyay Associate Professor & Associate Dean (Research) , Poornima University, Jaipur, Rajasthan, India Udit Mamodiya Associate Professor, Department of Computer Science and Engineering, Vignan Institute of Technology and Science, Hyderabad, India Harish Reddy Gantla Associate Professor, Department of Mathematics, Aditya University, Surampalem, AP, India P. Satish The objective of the presented work is the examination of ergonomic challenges of prolonged sitting in digital learning using an instrumental multi-criteria decision-making technique named 'TOPSIS' (Technique for Order of Preference by Similarity to Ideal Solution). A total of sixteen ergonomic challenges of prolonged sitting in digital learning have been identified by a group dialogue with laptop, tablet, smartphone users, academicians, and students. The study compares equal weight ages and variable weight ages, finding that eye strain, neck pain, and mental tiredness are the most close to ideal solutions, while leg pain is the least. Linear Reggression, a machine learning approach, is the best-performing model, with Neural Network and SVM showing marginal improvement. The outcomes of the experiment demonstrate that the suggested model functions well in terms of accuracy, and techniques have been used to raise the diagnostic rate and solve the issue. The outcomes can be very helpful in finding and applying measures to deal with ergonomic challenges of prolonged sitting in digital learning. Policymakers may use the output of this study regarding the relative importance and productivity influencing tendency of these chosen sixteen ergonomic challenges, for creating mechanisms for the betterment of human-computer interface.  2025 2025 164 183 10.54216/FPA.190114 https://www.americaspg.com/articleinfo/3/show/3600