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ERIC Number: ED562284
Record Type: Non-Journal
Publication Date: 2013-Jul
Pages: 5
Abstractor: As Provided
Reference Count: 12
Big Data & Learning Analytics: A Potential Way to Optimize eLearning Technological Tools
García, Olga Arranz; Secades, Vidal Alonso
International Association for Development of the Information Society, Paper presented at the International Association for Development of the Information Society (IADIS) International Conference on e-Learning (Prague, Czech Republic, Jul 23-26, 2013)
In the information age, one of the most influential institutions is education. The recent emergence of MOOCS [Massively Open Online Courses] is a sample of the new expectations that are offered to university students. Basing decisions on data and evidence seems obvious, and indeed, research indicates that data-driven decision-making improves organizational productivity. The most dramatic factor shaping the future of higher education is Big Data and analytics. Big Data emphasizes that the data itself is a path to value generation in organizations and it is, also, a critical value for higher education institutions. The emerging practice of academic analytics is likely to become a new useful tool for a new era. Analytics and big data have a significant role to play in the future of higher education. This paper attempts an analytical practice about the use of e-learning technological tools to generate relevant information, for the teacher and the students who try to optimize their learning process.This combination of data-processing and analytical learning is an aid to improve significantly higher education and mark the path to follow in the new educational era. [For the full proceedings, see ED562127.]
International Association for the Development of the Information Society. e-mail:; Web site:
Publication Type: Speeches/Meeting Papers; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Spain