Predicting Preservice Science Teachers' TPACK through ICT Usage
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| Title: | Predicting Preservice Science Teachers' TPACK through ICT Usage |
|---|---|
| Language: | English |
| Authors: | Kadioglu-Akbulut, Cansel (ORCID |
| Source: | Education and Information Technologies. Sep 2023 28(9):11269-11289. |
| 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: | 21 |
| Publication Date: | 2023 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Preservice Teachers, Pedagogical Content Knowledge, Technological Literacy, Educational Technology, Science Teachers, Technology Uses in Education, Predictor Variables |
| DOI: | 10.1007/s10639-023-11657-0 |
| ISSN: | 1360-2357 1573-7608 |
| Abstract: | Designing effective and efficient learning environments by integrating recent educational technologies into the teaching process has become an important goal of education for nearly two decades. However, earlier studies showed that a higher level of technology knowledge does not guarantee the development of TPACK. At this point, studies guided by the transformative approach defining TPACK as a unique knowledge revealed encouraging results for a better understanding of technology-integrated instruction. This study aims to investigate to what extent ICT usage categories predict preservice science teachers' TPACK. Totally 326 preservice science teachers with a mean age of 21.62 (SD = 1.41) from seven different universities participated. For that purpose, a correlational study was conducted. The ICT-TPACK-Science Scale and the ICT Usage Questionnaire were used to collect data. Six separate multiple regression analyses were conducted to predict TPACK measures using ICT measures. Results indicated that approximately a third of the variability in total-TPACK scores can be accounted for by three ICT measures. The relative importance of individual predictors is arranged in the following order desktop software, emerging ICTs, and hardware. As for the dimensions of the ICT-TPACK-Science Scale, the overall effect of the ICT predictors decreased in the following order: Designing, implementing, planning, proficiency, and ethics. Emerging ICTs made the highest contribution to the designing and proficiency dimensions; while desktop software made the highest contribution to the implementing, planning, and ethics dimensions. To sum up, this study describes the association between ICT usage and TPACK in the view of the transformative ICT-TPACK-Science framework. The utilization and transformation of ICT tools as a cognitive partner for effective and efficient science teaching in different TPACK dimensions needs further investigation. |
| Abstractor: | As Provided |
| Entry Date: | 2023 |
| Accession Number: | EJ1390254 |
| Database: | ERIC |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: eric DbLabel: ERIC An: EJ1390254 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predicting Preservice Science Teachers' TPACK through ICT Usage – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kadioglu-Akbulut%2C+Cansel%22">Kadioglu-Akbulut, Cansel</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0002-6908-1684">0000-0002-6908-1684</externalLink>)<br /><searchLink fieldCode="AR" term="%22Cetin-Dindar%2C+Ayla%22">Cetin-Dindar, Ayla</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0003-3086-163X">0000-0003-3086-163X</externalLink>)<br /><searchLink fieldCode="AR" term="%22Acar-Sesen%2C+Burçin%22">Acar-Sesen, Burçin</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0002-1585-0441">0000-0002-1585-0441</externalLink>)<br /><searchLink fieldCode="AR" term="%22Küçük%2C+Sevda%22">Küçük, Sevda</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0002-2679-5177">0000-0002-2679-5177</externalLink>) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Education+and+Information+Technologies%22"><i>Education and Information Technologies</i></searchLink>. Sep 2023 28(9):11269-11289. – 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: 21 – Name: DatePubCY Label: Publication Date Group: Date Data: 2023 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Reports - Research – Name: Audience Label: Education Level Group: Audnce Data: <searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink> – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Preservice+Teachers%22">Preservice Teachers</searchLink><br /><searchLink fieldCode="DE" term="%22Pedagogical+Content+Knowledge%22">Pedagogical Content Knowledge</searchLink><br /><searchLink fieldCode="DE" term="%22Technological+Literacy%22">Technological Literacy</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Technology%22">Educational Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Science+Teachers%22">Science Teachers</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Predictor+Variables%22">Predictor Variables</searchLink> – Name: DOI Label: DOI Group: ID Data: 10.1007/s10639-023-11657-0 – Name: ISSN Label: ISSN Group: ISSN Data: 1360-2357<br />1573-7608 – Name: Abstract Label: Abstract Group: Ab Data: Designing effective and efficient learning environments by integrating recent educational technologies into the teaching process has become an important goal of education for nearly two decades. However, earlier studies showed that a higher level of technology knowledge does not guarantee the development of TPACK. At this point, studies guided by the transformative approach defining TPACK as a unique knowledge revealed encouraging results for a better understanding of technology-integrated instruction. This study aims to investigate to what extent ICT usage categories predict preservice science teachers' TPACK. Totally 326 preservice science teachers with a mean age of 21.62 (SD = 1.41) from seven different universities participated. For that purpose, a correlational study was conducted. The ICT-TPACK-Science Scale and the ICT Usage Questionnaire were used to collect data. Six separate multiple regression analyses were conducted to predict TPACK measures using ICT measures. Results indicated that approximately a third of the variability in total-TPACK scores can be accounted for by three ICT measures. The relative importance of individual predictors is arranged in the following order desktop software, emerging ICTs, and hardware. As for the dimensions of the ICT-TPACK-Science Scale, the overall effect of the ICT predictors decreased in the following order: Designing, implementing, planning, proficiency, and ethics. Emerging ICTs made the highest contribution to the designing and proficiency dimensions; while desktop software made the highest contribution to the implementing, planning, and ethics dimensions. To sum up, this study describes the association between ICT usage and TPACK in the view of the transformative ICT-TPACK-Science framework. The utilization and transformation of ICT tools as a cognitive partner for effective and efficient science teaching in different TPACK dimensions needs further investigation. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2023 – Name: AN Label: Accession Number Group: ID Data: EJ1390254 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1390254 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10639-023-11657-0 Languages: – Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 11269 Subjects: – SubjectFull: Preservice Teachers Type: general – SubjectFull: Pedagogical Content Knowledge Type: general – SubjectFull: Technological Literacy Type: general – SubjectFull: Educational Technology Type: general – SubjectFull: Science Teachers Type: general – SubjectFull: Technology Uses in Education Type: general – SubjectFull: Predictor Variables Type: general Titles: – TitleFull: Predicting Preservice Science Teachers' TPACK through ICT Usage Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kadioglu-Akbulut, Cansel – PersonEntity: Name: NameFull: Cetin-Dindar, Ayla – PersonEntity: Name: NameFull: Acar-Sesen, Burçin – PersonEntity: Name: NameFull: Küçük, Sevda IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 1360-2357 – Type: issn-electronic Value: 1573-7608 Numbering: – Type: volume Value: 28 – Type: issue Value: 9 Titles: – TitleFull: Education and Information Technologies Type: main |
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