%0 Journal Article %1 vermamultilevel %A Verma, Ashok %D 2017 %J International Journal of Computer Science and Information Technology (IJCSIT) %K Data Educational Feedback LMS Mining Moodle adjustment system techniques. weight %N 5 %P 15 - 28 %R 10.5121/ijcsit.2017.9502 %T Multilevel Analysis of Student's Feedback Using Moodle Logs in Virtual Cloud Environment %U http://airccse.org/journal/ijcsit2017_curr.html %V 9 %X In the current digital era, education system has witness tremendous growth in data storage and efficient retrieval. Many Institutes have very huge databases which may be of terabytes of knowledge and information. The complexity of the data is an important issue as educational data consists of structural as well as non-structural type which includes various text editors like node pad, word, PDF files, images, video, etc. The problem lies in proper storage and correct retrieval of this information. Different types of learning platform like Moodle have implemented to integrate the requirement of educators, administrators and learner. Although this type of platforms are indeed a great support of educators, still mining of the large data is required to uncover various interesting patterns and facts for decision making process for the benefits of the students.

@article{vermamultilevel, abstract = {In the current digital era, education system has witness tremendous growth in data storage and efficient retrieval. Many Institutes have very huge databases which may be of terabytes of knowledge and information. The complexity of the data is an important issue as educational data consists of structural as well as non-structural type which includes various text editors like node pad, word, PDF files, images, video, etc. The problem lies in proper storage and correct retrieval of this information. Different types of learning platform like Moodle have implemented to integrate the requirement of educators, administrators and learner. Although this type of platforms are indeed a great support of educators, still mining of the large data is required to uncover various interesting patterns and facts for decision making process for the benefits of the students.}, added-at = {2021-02-18T11:08:51.000+0100}, author = {Verma, Ashok}, biburl = {https://www.bibsonomy.org/bibtex/2101e989fb12dd4a0b3ae150d8f66a70d/shamerjose}, doi = {10.5121/ijcsit.2017.9502}, interhash = {ef61681d4ee19acfda1e5992a571cb2b}, intrahash = {101e989fb12dd4a0b3ae150d8f66a70d}, journal = { International Journal of Computer Science and Information Technology (IJCSIT)}, keywords = {Data Educational Feedback LMS Mining Moodle adjustment system techniques. weight}, month = oct, number = 5, pages = {15 - 28}, timestamp = {2021-02-18T11:08:51.000+0100}, title = {Multilevel Analysis of Student's Feedback Using Moodle Logs in Virtual Cloud Environment}, url = {http://airccse.org/journal/ijcsit2017_curr.html}, volume = 9, year = 2017 }