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Sajja, Phani Rajendra Prasad
- Differential Impact of Web Technology on Various Dimensions of Students' Academic and Non-academic Activities (a Case Study)
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Authors
Affiliations
1 Computer Science & Engineering Department, Motilal Nehru National Institute of Technology, Allahabad, UP, IN
2 2Computer Engineering Department, Islamic Azad University, Ramsar, IR
1 Computer Science & Engineering Department, Motilal Nehru National Institute of Technology, Allahabad, UP, IN
2 2Computer Engineering Department, Islamic Azad University, Ramsar, IR
Source
Indian Journal of Science and Technology, Vol 6, No 7 (2013), Pagination: 4912-4922Abstract
Internet and computing have been advocated as one shot solution to many existing constraints and difficulties of education system. Our work aims to study exhaustively differential impact of Web technology on various dimensions of students' academic performance, co-curricular, extra-curricular and non-academic activities. We analyzed the Internet usage behavior of students in terms of average time spent in Internet per day and category of visited Websites by them along with the effects of these Internet usage behaviors on their academic performance (CPI) and other co-curricular and extra-curricular activities. For this analysis we used proxy server access log files of an engineering college in India which are collected during 30 months continually. We have classified student activities (with extending ODP classification scheme) under four categories: Curricular, Co-Curricular, Extra-Curricular and Non-Curricular. Only 59% of female students used Internet continually as against 81% of male students. This analysis led us to conclude that a significant gender gap exists in terms of Internet usage.Keywords
Website Classification Scheme, Open Directory Project (ODP), Internet Usage Behavior, Social Behaviors, Academic Performance, Navigation, Pedagogical IssuesFull Text
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Abstract Views :476 |
PDF Views:0
Authors
Affiliations
1 Computer Science & Engineering Department, Motilal Nehru National Institute of Technology, Allahabad, UP, IN
2 Computer Engineering Department, Islamic Azad University, Ramsar, IR
1 Computer Science & Engineering Department, Motilal Nehru National Institute of Technology, Allahabad, UP, IN
2 Computer Engineering Department, Islamic Azad University, Ramsar, IR
Source
Indian Journal of Science and Technology, Vol 6, No 7 (2013), Pagination: 4923-4935Abstract
It is important to provide perspectives about the effects of Internet usage on students' personal and social behaviours along with the impacts of these usages on their academic performances. To explore students' Internet usage behaviors and predicting outliers in student's community, we have developed Web based data mining tool named Education Data Miner (EDMiner), which provides user friendly interface for different stockholders of the system including professors and deans. This research study was conducted with a sample of 5210 students from one engineering college in India during 36 months continually. The primary focus of this study is to extract Internet usage pattern of students by exploring proxy server access log files. These patterns were then used for identifying outliers in students' community. We have applied centroid and density based clustering methods to identify outliers. Further, the relationship between Internet usage behaviours and various Academic and Non-academic activities were explored. Based on our results the majority of visited Websites, 35 percent, belongs to Websites under Extra-Curricular category whereas for curricular Websites it is 24 percent. Further, our results also contradict the perception that the Internet usage adversary affects the academic performance. Moreover, our analysis results show higher average time spent on Internet did result into nonparticipation in other activities, which are very essential for the growth of these students. This nonparticipation in other activities may prove to be an indicator for loneliness of these individuals.Keywords
Educational Data Mining, Internet Usage Behaviours, Academic Performance, Curricular And Co-curricular Activities, Web Usage MiningFull Text
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