Convenor: Richard Brock
This module will support students' critical understanding of, and ability to use, quantitative research methods and data using STEM education research as a context. Students will be introduced to the nature of quantitative research, the assumptions underlying quantitative research methods and the use of numerical data to describe and reform teaching and learning. Students will become able to critique the choice and application of quantitative methods and the analyses and inferences resulting from their use. These aims will be realised through the examination of data from quantitative case studies in STEM education research. The module will use publicly available datasets to give students experiences of engaging with educational research data, and to compare their analyses with those of other researchers. The use of international, national, and local datasets will ensure students can engage with contemporary educational issues across multiple contexts and scales.
Specifically, the module will enable students to:
- Explore the assumptions and theoretical frameworks underpinning the use of quantitative research.
- Develop proficiency in selecting appropriate quantitative tools.
- Use a range of quantitative tools to analyse educational data sets.
- Critique the quantitative tools and associated findings in published STEM education studies across international, national, and local contexts.
- Gain knowledge of quantitative research findings in STEM education.
The online book for the module, developed with funding from Wipro, is available here:
Convenor: Richard Brock
This module will support students' critical understanding of, and ability to use, quantitative research methods and data using STEM education research as a context. Students will be introduced to the nature of quantitative research, the assumptions underlying quantitative research methods and the use of numerical data to describe and reform teaching and learning. Students will become able to critique the choice and application of quantitative methods and the analyses and inferences resulting from their use. These aims will be realised through the examination of data from quantitative case studies in STEM education research. The module will use publicly available datasets to give students experiences of engaging with educational research data, and to compare their analyses with those of other researchers. The use of international, national, and local datasets will ensure students can engage with contemporary educational issues across multiple contexts and scales.
Specifically, the module will enable students to:
- Explore the assumptions and theoretical frameworks underpinning the use of quantitative research.
- Develop proficiency in selecting appropriate quantitative tools.
- Use a range of quantitative tools to analyse educational data sets.
- Critique the quantitative tools and associated findings in published STEM education studies across international, national, and local contexts.
- Gain knowledge of quantitative research findings in STEM education.
The online book for the module, developed with funding from Wipro, is available here:
Link to:-
Module introduction video
