The International Journal of E-Learning and Educational Technologies in the Digital Media (IJEETDM) 1(2):109 -114 The Society of Digital Information and Wireless Communications (SDIWC), Apr - 2015 (ISSN: 2410-0439) 109 Real Time Analysis of Attributes of an Indian E-Learning Site Renuka Mahajan and Vishal Mahajan Amity University, Noida, India rmahajan@amity.edu HCL Technologies, Noida, India vmahajan@hcl.com ABSTRACT E-learning is an evolving paradigm in the modern educational settings. For an effective e-learning, a lot of concentration should be made to understand the learner usage patterns, requirements and individual capabilities for delivering e-content. The main aim of this paper is to analyze and present the selected attributes of how learners interact with an e-learning site using a case study of an Indian e-learning portal. A quantitative survey was carried out to compile the data pertaining to learners’ profile and to derive views on the current experiences of the learners. The valuable information thus obtained will facilitate in assessing the effectiveness of the current e-learning material and predicting acceptability of adaptive environment for learners. KEYWORDS e-learning, Adaptive e-Learning, usage pattern analysis, personalization, data mining 1 INTRODUCTION E-learning is the use of information and communication technology to deliver learning material for education and training. It is convenient to access this learning material at one’s convenience at a click of the mouse; however, overall it can be an overwhelming experience [26]. The learner is on his/her own and depending on the given e-content, the learner might get lost in the process [1]. Adaptive e-learning system aims at accommodating the individual needs and characteristics of students in an e-learning environment [12]. Adaptive e-learning is the ability to modify e-Learning lessons using different parameters and a set of predefined rules [13]. However, in spite of its usefulness, acceptance of such system should be predicted beforehand to facilitate the future system development. The e-learning systems generate a huge volume of information which is useful for analyzing learners’ behavior. It could make a goldmine of educational data (as stated by [9]). Data mining (DM) is the science of analyzing large databases to find patterns and trends [16]. Author [9] opined that the learner interaction data like reading, writing, taking online tests, even communicating with peers and performing various other tasks can be mined for creating intelligence for the site improvement. Many data mining techniques can be utilized on this data for personalization [20]. 2 RELATED WORKS Various researchers have carried out usage pattern study in e-learning [15]; [11]; [6]; [8]; [7]; [17]; [18]; etc. The main objective becomes analyzing the patterns of system usage by teachers and learners and discovering the learners’ learning behavior patterns [21]; [3]. Author [14] analyzed the sequences patterns of students’ web usage after the analysis of log files data using data mining techniques. Author [5] used e-learner’s prior knowledge and proposes model to visualize the e-learner’s click-stream data so that any interesting pattern can be detected. Many previous studies [23] review the factors to assess effectiveness of a site e.g. accessibility, organization, language, layout, goals, objectives, course content, learning resources, evaluation etc. However, the current study constructs different dimensions as well as more items that cover the scopes of online learners’ attitudes and behaviors. The research objectives of this study are to present