Academic Journal
Evaluating Computer Science Students Reading Comprehension of Educational Multimedia-Enhanced Text Using Scalable Eye-Tracking Methodology
| Title: | Evaluating Computer Science Students Reading Comprehension of Educational Multimedia-Enhanced Text Using Scalable Eye-Tracking Methodology |
|---|---|
| Language: | English |
| Authors: | Milan Turcáni, Zoltan Balogh (ORCID |
| Source: | Smart Learning Environments. 2024 11. |
| 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: | 28 |
| Publication Date: | 2024 |
| Document Type: | Journal Articles Reports - Research |
| Descriptors: | Computer Science Education, Eye Movements, Reading Comprehension, Knowledge Level, Tests, Video Technology, Open Source Technology, Cost Effectiveness, Illustrations, Vocabulary Development, High Achievement, Learning Problems, Comparative Analysis, Identification, Readability, Educational Benefits, Multimedia Materials |
| DOI: | 10.1186/s40561-024-00318-5 |
| ISSN: | 2196-7091 |
| Abstract: | In this research, a mixed-method approach was employed to conduct large-scale eye-tracking measurements, traditionally associated with high costs and extensive time commitments. Utilizing consumer-grade webcams in conjunction with open-source software, data was collected from an expansive cohort of students, thereby demonstrating the scalability and cost-effectiveness of this innovative methodology. The primary objective of this research was to discern the disparities in reading behaviour when students were presented with standard text accompanied by illustrations, compared to the same text with highlighted key terms. The participants, comprised of first-year university students, completed a questionnaire and an introductory test to ascertain their knowledge level. Subsequently, they were segregated into two groups and participated in two reading sessions, during which their ocular movements were recorded. The amassed data underwent both qualitative analyses, facilitated by visualizations, and quantitative analysis, employing statistical measures on the data and test results. Notably, no significant difference was observed in the gaze patterns or test results between the experimental and control groups. However, a significant divergence in gaze patterns was identified between high-achieving students and those experiencing difficulties, as evidenced by the averaged composite heatmaps generated from the data. The findings underscore two pivotal points. Firstly, the feasibility of conducting large-scale eye-tracking experiments is demonstrated. Traditional studies in this field often employ small population samples due to the time and financial constraints associated with methods that utilize specialized eye-tracking hardware. In contrast, our methodology is scalable, relying on low-end hardware and enabling students to record data on their personal devices. Secondly, while eye-tracking may not provide substantial benefits for fine-tuning text already optimized for readability, it could serve as a valuable tool for identifying and assisting learners who are struggling. This mixed-method approach holds significant potential to revolutionize the conduct and interpretation of eye-tracking studies within educational settings. |
| Abstractor: | As Provided |
| Notes: | https://www.scidb.cn/en/detail?dataSetId=3c958d74e4c74790a48334a952ff0b67 |
| Entry Date: | 2024 |
| Accession Number: | EJ1428658 |
| Database: | ERIC |
| FullText | Links: – Type: other Url: https://resolver.ebsco.com:443/public/rma-ftfapi/ejs/direct?AccessToken=46C7B74606130C6463C6&Show=Object Text: Availability: 0 CustomLinks: – Url: https://dx.doi.org/doi:10.1186/s40561-024-00318-5 Name: EDS - Springer Nature Journals (s7799221) Category: fullText Text: View record at Springer |
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| Items | – Name: Title Label: Title Group: Ti Data: Evaluating Computer Science Students Reading Comprehension of Educational Multimedia-Enhanced Text Using Scalable Eye-Tracking Methodology – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Milan+Turcáni%22">Milan Turcáni</searchLink><br /><searchLink fieldCode="AR" term="%22Zoltan+Balogh%22">Zoltan Balogh</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0002-8900-0693">0000-0002-8900-0693</externalLink>)<br /><searchLink fieldCode="AR" term="%22Michal+Kohútek%22">Michal Kohútek</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Smart+Learning+Environments%22"><i>Smart Learning Environments</i></searchLink>. 2024 11. – Name: Avail Label: Availability Group: Avail Data: 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/ – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 28 – Name: DatePubCY Label: Publication Date Group: Date Data: 2024 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Reports - Research – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Computer+Science+Education%22">Computer Science Education</searchLink><br /><searchLink fieldCode="DE" term="%22Eye+Movements%22">Eye Movements</searchLink><br /><searchLink fieldCode="DE" term="%22Reading+Comprehension%22">Reading Comprehension</searchLink><br /><searchLink fieldCode="DE" term="%22Knowledge+Level%22">Knowledge Level</searchLink><br /><searchLink fieldCode="DE" term="%22Tests%22">Tests</searchLink><br /><searchLink fieldCode="DE" term="%22Video+Technology%22">Video Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Open+Source+Technology%22">Open Source Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Cost+Effectiveness%22">Cost Effectiveness</searchLink><br /><searchLink fieldCode="DE" term="%22Illustrations%22">Illustrations</searchLink><br /><searchLink fieldCode="DE" term="%22Vocabulary+Development%22">Vocabulary Development</searchLink><br /><searchLink fieldCode="DE" term="%22High+Achievement%22">High Achievement</searchLink><br /><searchLink fieldCode="DE" term="%22Learning+Problems%22">Learning Problems</searchLink><br /><searchLink fieldCode="DE" term="%22Comparative+Analysis%22">Comparative Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Identification%22">Identification</searchLink><br /><searchLink fieldCode="DE" term="%22Readability%22">Readability</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Benefits%22">Educational Benefits</searchLink><br /><searchLink fieldCode="DE" term="%22Multimedia+Materials%22">Multimedia Materials</searchLink> – Name: DOI Label: DOI Group: ID Data: 10.1186/s40561-024-00318-5 – Name: ISSN Label: ISSN Group: ISSN Data: 2196-7091 – Name: Abstract Label: Abstract Group: Ab Data: In this research, a mixed-method approach was employed to conduct large-scale eye-tracking measurements, traditionally associated with high costs and extensive time commitments. Utilizing consumer-grade webcams in conjunction with open-source software, data was collected from an expansive cohort of students, thereby demonstrating the scalability and cost-effectiveness of this innovative methodology. The primary objective of this research was to discern the disparities in reading behaviour when students were presented with standard text accompanied by illustrations, compared to the same text with highlighted key terms. The participants, comprised of first-year university students, completed a questionnaire and an introductory test to ascertain their knowledge level. Subsequently, they were segregated into two groups and participated in two reading sessions, during which their ocular movements were recorded. The amassed data underwent both qualitative analyses, facilitated by visualizations, and quantitative analysis, employing statistical measures on the data and test results. Notably, no significant difference was observed in the gaze patterns or test results between the experimental and control groups. However, a significant divergence in gaze patterns was identified between high-achieving students and those experiencing difficulties, as evidenced by the averaged composite heatmaps generated from the data. The findings underscore two pivotal points. Firstly, the feasibility of conducting large-scale eye-tracking experiments is demonstrated. Traditional studies in this field often employ small population samples due to the time and financial constraints associated with methods that utilize specialized eye-tracking hardware. In contrast, our methodology is scalable, relying on low-end hardware and enabling students to record data on their personal devices. Secondly, while eye-tracking may not provide substantial benefits for fine-tuning text already optimized for readability, it could serve as a valuable tool for identifying and assisting learners who are struggling. This mixed-method approach holds significant potential to revolutionize the conduct and interpretation of eye-tracking studies within educational settings. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: Note Label: Notes Group: Note Data: https://www.scidb.cn/en/detail?dataSetId=3c958d74e4c74790a48334a952ff0b67 – Name: DateEntry Label: Entry Date Group: Date Data: 2024 – Name: AN Label: Accession Number Group: ID Data: EJ1428658 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s40561-024-00318-5 Languages: – Text: English PhysicalDescription: Pagination: PageCount: 28 Subjects: – SubjectFull: Computer Science Education Type: general – SubjectFull: Eye Movements Type: general – SubjectFull: Reading Comprehension Type: general – SubjectFull: Knowledge Level Type: general – SubjectFull: Tests Type: general – SubjectFull: Video Technology Type: general – SubjectFull: Open Source Technology Type: general – SubjectFull: Cost Effectiveness Type: general – SubjectFull: Illustrations Type: general – SubjectFull: Vocabulary Development Type: general – SubjectFull: High Achievement Type: general – SubjectFull: Learning Problems Type: general – SubjectFull: Comparative Analysis Type: general – SubjectFull: Identification Type: general – SubjectFull: Readability Type: general – SubjectFull: Educational Benefits Type: general – SubjectFull: Multimedia Materials Type: general Titles: – TitleFull: Evaluating Computer Science Students Reading Comprehension of Educational Multimedia-Enhanced Text Using Scalable Eye-Tracking Methodology Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Milan Turcáni – PersonEntity: Name: NameFull: Zoltan Balogh – PersonEntity: Name: NameFull: Michal Kohútek IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 2196-7091 Numbering: – Type: volume Value: 11 Titles: – TitleFull: Smart Learning Environments Type: main |
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