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Exploring Jump Back Behavior Patterns and Reasons in E-Book System

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Title: Exploring Jump Back Behavior Patterns and Reasons in E-Book System
Language: English
Authors: Ma, Boxuan (ORCID 0000-0002-1566-880X), Lu, Min, Taniguchi, Yuta, Konomi, Shin'ichi
Source: Smart Learning Environments. 2022 9.
Availability: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Peer Reviewed: Y
Page Count: 23
Publication Date: 2022
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Behavior Patterns, Electronic Publishing, Books, Reading Processes, Learning Analytics, Interaction, Intention, College Students
DOI: 10.1186/s40561-021-00183-6
ISSN: 2196-7091
Abstract: With the increasing use of digital learning materials in higher education, the accumulated operational log data provide a unique opportunity to analyzing student learning behaviors and their effects on student learning performance to understand how students learn with e-books. Among the students' reading behaviors interacting with e-book systems, we find that jump-back is a frequent and informative behavior type. In this paper, we aim to understand the student's intention for a jump-back using user learning log data on the e-book materials of a course in our university. We at first formally define the "jump-back" behaviors that can be detected from the click event stream of slide reading and then systematically study the behaviors from different perspectives on the e-book event stream data. Finally, by sampling 22 learning materials, we identify six reading activity patterns that can explain jump backs. Our analysis provides an approach to enriching the understanding of e-book learning behaviors and informs design implications for e-book systems.
Abstractor: As Provided
Entry Date: 2022
Accession Number: EJ1322164
Database: ERIC
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  Data: <searchLink fieldCode="AR" term="%22Ma%2C+Boxuan%22">Ma, Boxuan</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0002-1566-880X">0000-0002-1566-880X</externalLink>)<br /><searchLink fieldCode="AR" term="%22Lu%2C+Min%22">Lu, Min</searchLink><br /><searchLink fieldCode="AR" term="%22Taniguchi%2C+Yuta%22">Taniguchi, Yuta</searchLink><br /><searchLink fieldCode="AR" term="%22Konomi%2C+Shin'ichi%22">Konomi, Shin'ichi</searchLink>
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  Data: With the increasing use of digital learning materials in higher education, the accumulated operational log data provide a unique opportunity to analyzing student learning behaviors and their effects on student learning performance to understand how students learn with e-books. Among the students' reading behaviors interacting with e-book systems, we find that jump-back is a frequent and informative behavior type. In this paper, we aim to understand the student's intention for a jump-back using user learning log data on the e-book materials of a course in our university. We at first formally define the "jump-back" behaviors that can be detected from the click event stream of slide reading and then systematically study the behaviors from different perspectives on the e-book event stream data. Finally, by sampling 22 learning materials, we identify six reading activity patterns that can explain jump backs. Our analysis provides an approach to enriching the understanding of e-book learning behaviors and informs design implications for e-book systems.
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