Using process mining to analyze students' quiz-taking behavior patterns in a learning management system
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23420%2F19%3A43950178" target="_blank" >RIV/49777513:23420/19:43950178 - isvavai.cz</a>
Alternative codes found
RIV/00216224:14210/19:00108773
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0747563217306957" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0747563217306957</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.chb.2017.12.015" target="_blank" >10.1016/j.chb.2017.12.015</a>
Alternative languages
Result language
angličtina
Original language name
Using process mining to analyze students' quiz-taking behavior patterns in a learning management system
Original language description
The aim of this paper is to explore students’ behavior and interaction patterns in different types of online quiz-based activities within learning management systems (LMS). Analyzing students’ behavior in online learning activities and detecting specific patterns of interaction in LMS is a topic of great interest for the educational data mining (EDM) and learning analytics (LA) research communities. Previous studies have focused primarily on frequency analysis without addressing the temporal aspects of students’ learning behavior. Therefore, we apply a process-oriented approach, investigating perspectives on using process mining methods in the context of online learning and assessment. To explore a broad range of possible student behavior patterns, we analyze students’ interactions in several online quizzes from different courses and with different settings. Using process mining methods, we identify specific types of interaction sequences that shed new light on students’ quiz-taking strategies in LMS. We believe that these findings bring important implications for researchers studying student behavior in online environments as well as practitioners using online quizzes for learning and assessment.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
50301 - Education, general; including training, pedagogy, didactics [and education systems]
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Computers in Human Behavior
ISSN
0747-5632
e-ISSN
—
Volume of the periodical
92
Issue of the periodical within the volume
March 2019
Country of publishing house
GB - UNITED KINGDOM
Number of pages
11
Pages from-to
496-506
UT code for WoS article
000457504100049
EID of the result in the Scopus database
2-s2.0-85039452844