One-size does not fit all: Towards an adaptive model to develop preservice teachers' digital competencies. (March 2021)
- Record Type:
- Journal Article
- Title:
- One-size does not fit all: Towards an adaptive model to develop preservice teachers' digital competencies. (March 2021)
- Main Title:
- One-size does not fit all: Towards an adaptive model to develop preservice teachers' digital competencies
- Authors:
- Tondeur, Jo
Howard, Sarah K.
Yang, Jie - Abstract:
- Abstract: Despite the existing knowledge base, it remains unclear how to best prepare preservice teachers with different profiles. While it is generally agreed that multiple strategies are required to develop preservice teachers' digital competency, the question remains how these strategies may come together to support preservice teachers' different needs in training. Therefore, this study examines 1) the key relationships among strategies to develop preservice teachers' digital competencies and 2) how the self-organization of these strategies changes in relation to pre-service teachers' attitudes towards digital technology. To explore these questions, we analyzed preservice teacher questionnaire data ( N = 931) from 20 teacher training institutions in Belgium. Data is analyzed through the grouping of preservice teachers based on high and low attitudes towards digital technologies. Association rules analysis was then run on each group to identify patterns among six strategies to teach digital competency. Results were visualised as directed graphs. Findings show different patterns of associations among strategies for the two groups. Results from preservice teachers with more positive attitudes showed a very specific focus on Collaboration, while those with lower attitudes had an emphasis on Feedback. This finding suggests that important differences may exist in how preservice teachers experience the development of digital competency in their training, which can inform futureAbstract: Despite the existing knowledge base, it remains unclear how to best prepare preservice teachers with different profiles. While it is generally agreed that multiple strategies are required to develop preservice teachers' digital competency, the question remains how these strategies may come together to support preservice teachers' different needs in training. Therefore, this study examines 1) the key relationships among strategies to develop preservice teachers' digital competencies and 2) how the self-organization of these strategies changes in relation to pre-service teachers' attitudes towards digital technology. To explore these questions, we analyzed preservice teacher questionnaire data ( N = 931) from 20 teacher training institutions in Belgium. Data is analyzed through the grouping of preservice teachers based on high and low attitudes towards digital technologies. Association rules analysis was then run on each group to identify patterns among six strategies to teach digital competency. Results were visualised as directed graphs. Findings show different patterns of associations among strategies for the two groups. Results from preservice teachers with more positive attitudes showed a very specific focus on Collaboration, while those with lower attitudes had an emphasis on Feedback. This finding suggests that important differences may exist in how preservice teachers experience the development of digital competency in their training, which can inform future design of teacher training programs. Highlights: The development of digital competencies should be considered an integral part of the functioning of an individual teacher. The findings show different relationships among strategies to develop digital competencies. Results from preservice teachers with more positive attitudes showed a very specific focus on collaboration. Preservice teachers with low ICT attitudes have an emphasis on feedback. The results provide a first step in developing an adaptive model to reveal which strategies support preservice teachers. … (more)
- Is Part Of:
- Computers in human behavior. Volume 116(2021)
- Journal:
- Computers in human behavior
- Issue:
- Volume 116(2021)
- Issue Display:
- Volume 116, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 116
- Issue:
- 2021
- Issue Sort Value:
- 2021-0116-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-03
- Subjects:
- Attitudes -- Teacher training -- Digital competence -- Data mining -- SQD strategies
Interactive computer systems -- Periodicals
Man-machine systems -- Periodicals
004.019 - Journal URLs:
- http://www.sciencedirect.com/science/journal/07475632 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.chb.2020.106659 ↗
- Languages:
- English
- ISSNs:
- 0747-5632
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.921600
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 15476.xml