Data Analysis and Knowledge Extraction in Educational Data Mining (EDM)
Journal: International Journal of Science and Research (IJSR) (Vol.4, No. 11)Publication Date: 2015-11-05
Authors : K. Sirisha; Pathuri Siva Kumar;
Page : 109-113
Keywords : Student privacy; student data; policy;
Abstract
While the field of educational data mining (EDM) has generated many innovations for improving educational software and student learning, the mining of student data has recently come under a great deal of scrutiny. Many stakeholder groups, including public officials, media outlets, and parents, have voiced concern over the privacy of student data and their efforts have garnered national attention. The momentum behind and scrutiny of student privacy has made it increasingly difficult for EDM applications to transition from academia to industry. Based on experience as academic researchers transitioning into industry, we present three primary areas of concern related to student privacy in practice policy, corporate social responsibility, and public opinion. Our discussion will describe the key challenges faced within these categories, strategies for overcoming them, and ways in which the academic EDM community can support the adoption of innovative technologies in large-scale production.
Other Latest Articles
- Feedback based Quality Enhancing Query Suggestion in E- Commerce Environment
- Improved Prototype Text Mining for Data Knowledge Discovery
- Significance of Aerobic Fitness in Early Detection and Primordial Prevention of Hypertension
- Multiple Error Recovery in FIR Filter using Reduced-Precision Redundancy (RPR)
- Segregated the Protoscolices of Hydatid Cysts Parasite by Medical Image Processing
Last modified: 2021-07-01 14:26:37