Porter, Karen
(2023).
Studies of Teachers' Emotion Percepts in Relation to Their Self-efficacy and Agency, 2020-2022.
[Data Collection]. Colchester, Essex:
UK Data Service.
10.5255/UKDA-SN-856301
A doctoral research project examining the role of emotion percepts on teachers' beliefs about their professional efficacy, sense of agency, and subsequent behaviours.
Consideration of teacher agency to date has not examined the role of emotion percepts on the beliefs that teachers have about their capabilities to perform effectively, their goals and values, and the degree of choice that they perceive themselves to have to act in ways that are congruent with their percepts and cognitions that are relevant to the circumstances in which they operate. This project aims to elucidate which, if any, emotion percepts serve to motivate teachers to respond to difficulties and opportunities that arise in their professional lives.
Studies using a variety of methods examine what themes relate to emotions that motivate teachers to engage in teaching, how the emotions identified link to beliefs and actions both individually and collectively. Having identified four percepts of CARE, CURIOSITY, COOPERATION and CHALLENGE, studies also consider the effect of awareness of the percepts on teachers' beliefs and actions.
Data description (abstract)
A series of studies were conducted to gather data illuminating teachers' experiences of emotions that motivate their professional engagement, together with associated relevant cognitions and actions. The first qualitative study involved interviewing teachers at the start of the pandemic lockdown. Analysis of interview transcripts confirmed an a priori assumption that teachers were motivated by CURIOSITY about the subjects they taught, and about effective pedagogical practice. Additionally, themes of motivation by CARE, COOPERATION and CHALLENGE were identified. Links to teachers' beliefs about their efficacy and their volitional actions were also identified.
Survey data was then collected to examine relations between the four emotional motivators and teachers' self-efficacy and agency. Based on emotional motivations, five profile types were identified, each with distinct levels of self-efficacy and agency.
A subsequent qualitative study gathered interview data from seven primary teachers who were initially introduced to findings from the first two studies, giving them insight into four proposed emotional motivators. Over the course of four interviews each, participants demonstrated how they used their new awareness as a framework to reflect on their practice, resulting in them prioritising self-care to optimise their capacity to perform effectively and persistently.
Data creators: |
Creator Name |
Affiliation |
ORCID (as URL) |
Porter Karen |
University of St Andrews |
|
|
Contributors: |
Name |
Affiliation |
ORCID (as URL) |
Lucie Kelly |
University of St Andrews |
|
|
Sponsors: |
ESRC
|
Grant reference: |
ES/P000681/1
|
Topic classification: |
Education Psychology
|
Keywords: |
TEACHERS, EMOTIONAL STATES, HUMAN BEHAVIOUR, TEACHER BEHAVIOUR
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Project title: |
As easy as ABC? A novel psychological approach to teacher agency: exploring the influence of affect on behaviour and cognition.
|
Grant holders: |
Karen Porter
|
Project dates: |
From | To |
---|
27 January 2020 | 21 June 2023 |
|
Date published: |
28 Jul 2023 12:35
|
Last modified: |
28 Jul 2023 12:36
|
Collection period: |
Date from: | Date to: |
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1 March 2020 | 29 March 2022 |
|
Geographical area: |
Scotland |
Country: |
United Kingdom |
Data collection method: |
Interviews and surveys. Participants in the qualitative studies were recruited using opportunistic sampling through advertisements on professional support groups on Facebook and other social media platforms whose members were primarily teachers in Scottish secondary schools. Potential participants who contacted the researcher were provided with a participant information sheet giving details of what was required, inclusion criteria, and a consent form. All respondents agree to participate in an interview and none were excluded for failing to match the inclusion criteria. One set of transcripts is of interviews carried out between March and June 2020 between Karen Porter, a PhD student, and teachers (13) working in secondary schools in Scotland. These 13 participants were interviewed only once each. The second set of transcripts is of a series of interviews carried out between December 2021 and March 2022 between an undergraduate student and seven teachers working in primary schools in Scotland. Each teacher was interviewed four times, at approximately monthly intervals. In addition to completing interviews, the seven teachers also answered survey questions prior to the first interview and just prior to the final interview. In all cases, interviews were transcribed in full using a combination of otter.ai software and manual transcription by the PhD student and the undergraduate student. Participants in the study collecting survey data were recruited through an online platform (prolific.co) that allows for pre-selection of participants matching defined inclusion criteria. In the current case, potential participants had to be teachers working at any stage in educational settings in the United Kingdom. Potential participants had to read the participant information sheet and agree to the consent form. The resultant quantitative data files include the raw data of over 500 teachers working in the United Kingdom. Over a series of worksheets, the data extraction and transformation steps are recorded that enabled relevant analysis to be carried out on the data. |
Observation unit: |
Individual |
Kind of data: |
Numeric, Text |
Type of data: |
Other surveys, Qualitative and mixed methods data |
Resource language: |
English |
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Data sourcing, processing and preparation: |
Interviews recorded on Microsoft Teams, transcribed as Microsoft Word files. Pseudonyms assigned to all participants and any geographical or otherwise identifying information has been redacted or generalised. For example, where relevant, a school may be identified as "large rural school".
Quantitative data gathered via Qualtrics software, downloaded into Microsoft Excel and manipulated across a number of worksheets in Excel.
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Rights owners: |
Name |
Affiliation |
ORCID (as URL) |
Porter Karen |
University of St Andrews |
|
|
Contact: |
Name | Email | Affiliation | ORCID (as URL) |
---|
Porter, Karen | kp81@st-andrews.ac.uk | University of St Andrews | Unspecified |
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Notes on access: |
The Data Collection is available for download to users registered with the UK Data Service.
|
Publisher: |
UK Data Service
|
Last modified: |
28 Jul 2023 12:36
|
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