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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