Examining User Experience of eLearning Systems using EKhool Learners
Amol Dhumane
Abstract
E-learning platforms are becoming highly demanded between the students and universities as the virtual learning platforms are growing rapidly. The evaluation of the user experience is important as they show the attitude of the user towards the learning platform. This paper examined the user experience of the E-Khool learners in the E-Khool eLearning systems using the RideNN. E-Khool is a learning procedure that boosts the emotional connectivity in the busy class schedules by providing visually striking stock videos, images and audios. Initially, the user experience metrics, such as Nielsen usability heuristics, Didactic effectiveness heuristics, Hedonic heuristics and Website specific criteria are used for the evaluation of the user experience. Then, the evaluation metrics forms a vector and is given as the input to the RideNN classifier. The RideNN classifier predicted the performance of the user experience on the E-Khool platform. The user evaluation method based on RideNN is evaluated based on the metrics, like accuracy and MSE by varying the hidden layers. When compared to the existing user evaluation method, the proposed user evaluation method based on RideNN obtained a maximum accuracy of 0.95 and minimum MSE of 0.00113, respectively.