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Understanding Student Learning Pathways in Traditional Online History Courses: Utilizing Process Mining Analysis on Clickstream Data

Title: Understanding Student Learning Pathways in Traditional Online History Courses: Utilizing Process Mining Analysis on Clickstream Data
Language: English
Authors: Crosslin, Matt (ORCID 0000-0003-0107-7715); Breuer, Kimberly; Milikic, Nikola; Dellinger, Justin T.
Source: Journal of Research in Innovative Teaching & Learning. 2021 14(3):399-414.
Availability: Emerald Publishing Limited. Howard House, Wagon Lane, Bingley, West Yorkshire, BD16 1WA, UK. Tel: +44-1274-777700; Fax: +44-1274-785201; e-mail: emerald@emeraldinsight.com; Web site: http://www.emerald.com/insight
Peer Reviewed: Y
Page Count: 16
Publication Date: 2021
Document Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Descriptors: Online Courses; History Instruction; Learning Processes; Student Centered Learning; Independent Study; Peer Relationship; Computer Mediated Communication; Decision Making; Interaction Process Analysis; Learning Strategies; Learning Analytics; State Universities; Integrated Learning Systems; Undergraduate Students
DOI: 10.1108/JRIT-03-2021-0024
ISSN: 1947-1017
Abstract: Purpose: This study explores ongoing research into self-mapped learning pathways that students utilize to move through a course when given two modalities to choose from: one that is instructor-led and one that is student-directed. Design/methodology/approach: Process mining analysis was utilized to examine and cluster clickstream data from an online college-level History course designed with dual modality choices. This paper examines some of the results from different approaches to clustering the available data. Findings: By examining how often students interacted with others, whether they were more internal or external facing with their pathway choices, and whether or not they completed a learning pathway, this study identified five general tactics from the data: Individualistic Internal; Non-completing Internal; Completing, Interactive Internal; Completing, Interactive, and Reflective and Completing External. Further analysis of when students used each tactic led to the identification of four different strategies that learners utilized during class sessions. Practical implications: The results of this analysis could potentially lead to the creation of customizable design models that can assist learners as they navigate modality choices in learner-centered or less-structured learning design methodologies. Originality/value: Few courses are designed to give the learners the options to follow the instructor or create their own learning pathway. Knowing how to identify what choices a learner might take in these scenarios is even less explored. Preliminary data for this paper was originally presented as a poster session at the Learning Analytics and Knowledge conference in 2019.
Abstractor: As Provided
Entry Date: 2022
Accession Number: EJ1334536
Database: ERIC