The analytical competency model to investigate the video-stimulated analysis of inclusive sciene education
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In: Progress in science education (PriSE), Vol. 5, No. 2, 10.05.2022, p. 48-63.
Research output: Journal contributions › Journal articles › Research › peer-review
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TY - JOUR
T1 - The analytical competency model to investigate the video-stimulated analysis of inclusive sciene education
AU - Egger, Daniela
AU - Abels, Simone
PY - 2022/5/10
Y1 - 2022/5/10
N2 - Background: Teachers are a key factor for an inclusive education for all learners. Science teachers are responsible for facilitating scientific literacy for all learners, reducing barriers and enabling participation to shape the society of tomor-row. Providing those opportunities means educating future teachers on how to plan, create and analyze inclusive sci-ence lessons for all learners and valuing diversity. Especially, the competence to analyze is seen as a necessity to develop high quality teaching.Purpose: To understand the competency development of future teachers regarding inclusive science education, ex-perts in this field are invited to analyze a video vignette showing inclusive science education. The experts identify and analyze inclusive science education within a video-stimulated reflection (VSRef) to create a reference norm for the investigation of future teachers’ competencies. For the purpose of context-related data analysis, we developed a five-stage model to categorize the VSRefs: The Analytical Competency Model (ACM).Sample/Setting: Our participants include experts in the field of inclusive science education (N=6): three PhD students and three post docs who do research and teach in inclusive science education. Five hold a Master of Education (biology, chemistry and/or physics for secondary schooling and one in primary education), one participant has a Master’s degree in Special Needs Education. The range in age is 25-35 and all experts are from Germany.Design and Methods: The experts watched a five-minute video vignette showing an inquiry-based learning setting on solubility. They were asked to observe, interpret and generate alternatives to the noticed teacher actions. We analyzed the VSRefs with a structured qualitative content analysis. We used expert validity to validate our ACM and calculated an intercoder reliability of the coding results regarding our ACM.Results: The experts targeted all five stages with varying strength and showed high analytical competency in reflecting inclusive science education in the presented video-vignette. This will be illustrated and explained with examples of the experts’ reflections.Conclusions: Our ACM can be used in higher education to evaluate the success of seminars on the topic of inclusive science education. The experts’ framing will be used in an investigation of a pre-service teacher sample to evaluate the development of their analytical competencies throughout a three-semester project-based seminar.
AB - Background: Teachers are a key factor for an inclusive education for all learners. Science teachers are responsible for facilitating scientific literacy for all learners, reducing barriers and enabling participation to shape the society of tomor-row. Providing those opportunities means educating future teachers on how to plan, create and analyze inclusive sci-ence lessons for all learners and valuing diversity. Especially, the competence to analyze is seen as a necessity to develop high quality teaching.Purpose: To understand the competency development of future teachers regarding inclusive science education, ex-perts in this field are invited to analyze a video vignette showing inclusive science education. The experts identify and analyze inclusive science education within a video-stimulated reflection (VSRef) to create a reference norm for the investigation of future teachers’ competencies. For the purpose of context-related data analysis, we developed a five-stage model to categorize the VSRefs: The Analytical Competency Model (ACM).Sample/Setting: Our participants include experts in the field of inclusive science education (N=6): three PhD students and three post docs who do research and teach in inclusive science education. Five hold a Master of Education (biology, chemistry and/or physics for secondary schooling and one in primary education), one participant has a Master’s degree in Special Needs Education. The range in age is 25-35 and all experts are from Germany.Design and Methods: The experts watched a five-minute video vignette showing an inquiry-based learning setting on solubility. They were asked to observe, interpret and generate alternatives to the noticed teacher actions. We analyzed the VSRefs with a structured qualitative content analysis. We used expert validity to validate our ACM and calculated an intercoder reliability of the coding results regarding our ACM.Results: The experts targeted all five stages with varying strength and showed high analytical competency in reflecting inclusive science education in the presented video-vignette. This will be illustrated and explained with examples of the experts’ reflections.Conclusions: Our ACM can be used in higher education to evaluate the success of seminars on the topic of inclusive science education. The experts’ framing will be used in an investigation of a pre-service teacher sample to evaluate the development of their analytical competencies throughout a three-semester project-based seminar.
KW - Didactics of sciences education
KW - Inclusive Science Education
KW - Professional vision
KW - Teacher professional development
KW - Analytical Competency
KW - qualitative methods
KW - Video analysis
UR - https://doi.org/10.25321/prise.2022.1319
U2 - 10.25321/prise.2022.1319
DO - 10.25321/prise.2022.1319
M3 - Journal articles
VL - 5
SP - 48
EP - 63
JO - Progress in science education (PriSE)
JF - Progress in science education (PriSE)
SN - 2405-6057
IS - 2
ER -