Usage of Learning Management System Web Analytics in Blended Learning Self-Study Evaluation

Learning Management System (LMS) analytics data is proposed to be used in developing algorithms for evaluating students’ self-studies. Development of such algorithms is relevant considering annual growth of disciplines that apply blended learning. In blended learning model selfstudy can be done onli...

Full description

Saved in:
Bibliographic Details
Main Author: G. P. Ozerova
Format: Article
Language:English
Published: Moscow Polytechnic University 2020-09-01
Series:Высшее образование в России
Subjects:
Online Access:https://vovr.elpub.ru/jour/article/view/2399
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832574542192574464
author G. P. Ozerova
author_facet G. P. Ozerova
author_sort G. P. Ozerova
collection DOAJ
description Learning Management System (LMS) analytics data is proposed to be used in developing algorithms for evaluating students’ self-studies. Development of such algorithms is relevant considering annual growth of disciplines that apply blended learning. In blended learning model selfstudy can be done online in LMS which makes it possible to analyze patterns how students interact with learning materials and perform exercises of various complexity. Different criteria and indicators are aggregated into numeric metrics that following designed methodology evaluates self-study performance of each student. Designed methodology uses algorithms that evaluate self-study results by using empirical LMS analytics data. Developed algorithms allow us on one hand to interpret empirical data for self-studies evaluation, and on the other hand to correct and improve students’ learning path. This paper presents results of using developed methodology deployed in LMS BlackBoard on the example of Information Technology blended learning course in Far Eastern Federal University.
format Article
id doaj-art-aad59d21a8d7455fa0038c303b252b05
institution Kabale University
issn 0869-3617
2072-0459
language English
publishDate 2020-09-01
publisher Moscow Polytechnic University
record_format Article
series Высшее образование в России
spelling doaj-art-aad59d21a8d7455fa0038c303b252b052025-02-01T13:14:28ZengMoscow Polytechnic UniversityВысшее образование в России0869-36172072-04592020-09-01298-911712610.31992/0869-3617-2020-29-8-9-117-1261680Usage of Learning Management System Web Analytics in Blended Learning Self-Study EvaluationG. P. Ozerova0Far Eastern Federal UniversityLearning Management System (LMS) analytics data is proposed to be used in developing algorithms for evaluating students’ self-studies. Development of such algorithms is relevant considering annual growth of disciplines that apply blended learning. In blended learning model selfstudy can be done online in LMS which makes it possible to analyze patterns how students interact with learning materials and perform exercises of various complexity. Different criteria and indicators are aggregated into numeric metrics that following designed methodology evaluates self-study performance of each student. Designed methodology uses algorithms that evaluate self-study results by using empirical LMS analytics data. Developed algorithms allow us on one hand to interpret empirical data for self-studies evaluation, and on the other hand to correct and improve students’ learning path. This paper presents results of using developed methodology deployed in LMS BlackBoard on the example of Information Technology blended learning course in Far Eastern Federal University.https://vovr.elpub.ru/jour/article/view/2399blended learningself-studylearning analyticse-learningmonitoring of teachinggraduation success ratelearning management system
spellingShingle G. P. Ozerova
Usage of Learning Management System Web Analytics in Blended Learning Self-Study Evaluation
Высшее образование в России
blended learning
self-study
learning analytics
e-learning
monitoring of teaching
graduation success rate
learning management system
title Usage of Learning Management System Web Analytics in Blended Learning Self-Study Evaluation
title_full Usage of Learning Management System Web Analytics in Blended Learning Self-Study Evaluation
title_fullStr Usage of Learning Management System Web Analytics in Blended Learning Self-Study Evaluation
title_full_unstemmed Usage of Learning Management System Web Analytics in Blended Learning Self-Study Evaluation
title_short Usage of Learning Management System Web Analytics in Blended Learning Self-Study Evaluation
title_sort usage of learning management system web analytics in blended learning self study evaluation
topic blended learning
self-study
learning analytics
e-learning
monitoring of teaching
graduation success rate
learning management system
url https://vovr.elpub.ru/jour/article/view/2399
work_keys_str_mv AT gpozerova usageoflearningmanagementsystemwebanalyticsinblendedlearningselfstudyevaluation