I'm looking for suggestions of researches that analyze big data volumes with the aim of discovery association rules or standards that enhance and further qualify the teaching and learning process to the student.
Overview 1 (2012) http://onlinelibrary.wiley.com/doi/10.1002/widm.1075/abstract
Overview 2 (2010) http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5524021&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F5326%2F5593938%2F05524021.pdf%3Farnumber%3D5524021
EDM journal: http://www.educationaldatamining.org/JEDM/index.php/JEDM
Next EDM conference in (July) : http://www.educationaldatamining.org/EDM2016/
Journal and proceedings are open access.
Hope this helps.
if you consider it for technical education like engineering, where more amount of data involved continuously over a period of time. It can be like performance analysis of each student over a stipulated time or books/resource material management which will search based on keyword and summarize content from various sources related to keyword.
Hello Herpich,
Take a look at this book: http://www.springer.com/us/book/9783319027371
"This book is devoted to the Educational Data Mining arena. It highlights works that show relevant proposals, developments, and achievements that shape trends and inspire future research."
http://www.springer.com/us/book/9783319027371
Opinion mining in context of Teaching and Learning methodology/environment, Evaluation process including Sentiment analysis.
Colleagues, thanks for the answers, I'll analyze and see which are most convenient to my work.
Best regards,
Fabrício Herpich
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