Analysis of Effectiveness of Web based E-Learning Through Information Technology
Anand Tamrakar1, Kamal K. Mehta2
1ANAND TAMRAKAR, Asst. Prof, C.S.E. Department, S.S.I.P.M.T., Raipur, India.
2KAMAL K. MEHTA, Professor & HoD, C.S.E. Department, S.S.C.E.T., Bhilai, India.
Manuscript received on June 18, 2011. | Revised Manuscript received on June 26, 2011. | Manuscript published on July 05, 2011. | PP: 55-59 | Volume-1 Issue-3, July 2011. | Retrieval Number: C058061311
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Advancements of technology help in providing effective decision-making and problem solving in many aspects of life. Amongst the available technologies, Information Technology (IT) is one of the leading technologies in effectively utilizing the scarce resources to encounter the gap between solutions provided by existing methodologies and demands of society. Effectiveness of education system depends on the degree of quality it exhibits. Traditional learning models like classroom teaching and distance learning have their own limitations. It is increasingly becoming hard to maintain the standards of education due to limitations of infrastructure, finance and other resources including skilled manpower. Learning empowered through Information Technology (IT), to some extent ensures high quality learning by providing necessary information This project , study the effectiveness of e-learning as it relates to the level of e-learning experience It is clearly observed that, e-Learning systems emphasise on quality and effective presentation of information. This paper has a hypothesis (regarding effectiveness of web based e-learning and other learning methods) using a varying statistics and statistical methods performed on data. It includes a hypothesis statement and details for the performance of the hypothesis test on the data. The paper also includes an analysis of variance (ANOVA) computation for the data and an interpretation of the results.
Keywords: ANOVA, e-learning, semantic web, ontologies.