This paper discusses the application of multimedia technologies in web learning environment. It presents the suitable classification algorithm based on regression analysis to predict the learners’ needs and performance. Predicting educational outcome and monitoring the progress of students in a web-based learning setting is a difficult task. But, there are possibilities to improve the system based on individual learning pattern in the web learning environment. In this paper, regression algorithm is implemented to predict student performance at the end of the semester. The results can be used to improve the educators’ perception to reform the syllabus, thereby escalating the probability of a higher score by covering students. Higher learning institutes contribution reserve learning courses during the web can use this replica to identify which area of their itinerary can be improved by data mining technology to accomplish and enhance the performance of the student. By attempting to study the new algorithm this, research paper is a need of the hour. The main aim of this research paper is to study about the newly proposed regression algorithm and its’ efficiency. It discusses the multimedia elements and their effects in the web learning system.

Multimedia technologies, Classification, Regression algorithms, Data Mining, Performance, Web Learning system

[1]. Dr. Mai NEO et al, Technology Acceptance of Healthcare E-Learning Modules: A Study of Korean and Malaysian Students’ Perceptions, TOJET: The Turkish Online Journal of Educational Technology – April 2015, volume 14 issue 2.
[2]. Mai NEO et al, (2008), Students' perceptions of interactive multimedia-mediated web-based learning: A Malaysian perspective Proceedings facility Melbourne 2008: Full paper: Neo, Neo & Yap, pp. 658-666.
[3]. Gomez, J.: Conceptual Modeling of Device- Independent Web Applications. J. IEEE Multimedia. 8, 26--39 (2001)
[4]. Conte, T., Massollar J., Mendes E., Travassos, G. H.: Usability Evaluation Based on Web Design Perspectives. In Empirical Software Engineering and Measurement, ESEM, First International Symposium. pp. 146--155 (2007)
[5]. Moreno, R., & Mayer, R. E. Interactive multimodal learning environments. Educational Psychology Review, (2007). 19, 309-326.
[6]. Lloyd P. Rieber, Computers, Graphics, & Learning The University of Georgia — Athens, (2000), pp. 50-125.
[7]. Moreno, R. Learning with high-tech and multimedia environments. Current Directions in Psychological Science, 2006. 15, 63–67
[8]. Sorden, S. D. A cognitive approach to instructional design for multimedia learning. Information Science Journal, 8, 263-279. (2005).
[9]. Cochrane, T.: Mobilising Learning: A Primer for Utilising Wireless Palm Devices to Facilitate a Collaborative Learning Environment. In ASCILITE Conference, pp. 147-157. Brisbane (2005)
[10]. Ivory, M. Y., Megraw, R.: Evolution of Web Site Design Patterns. ACM Trans. Inf. Syst. 23, 463—497 (2005)
[11]. Baharun, N., Porter A.: Teaching Statistics Using a Blended Approach: Integrating Technology-based Resources. In ASCILITE Conference, pp. 40--48. Auckland, New Zealand (2009).
[12]. Mayer, R. E. (2002). Cognitive Theory and the Design of Multimedia Instruction: An Example of the Two‐Way Street between Cognition and Instruction. New directions for teaching and learning, 2002(89), 55-71.
[13]. Um, E. The effect of positive emotions on cognitive processes in multimedia-based learning (Doctoral dissertation). Retrieved from Dissertations & Theses Database. (2008).