Getting started in the Scholarship of Teaching and Learning (SoTL)
Janice Miller-Young, Ph.D. and Michelle Yeo, Ph.D.
Mount Royal University
- Learn what SoTL is and how to get started,
- Discuss conceptual and theoretical frameworks that can inform their study,
- Discuss a variety research questions related to student learning,
- Explore different approaches and methods for generating and analyzing data,
- Think through ethical considerations involved in SoTL.
This 3 hour session will be a combination of plenary presentations and small group activities. After a brief introduction to the scholarship of teaching and learning, participants will work in small groups led by facilitators as they identify something in their teaching practice that they are curious about. Different possibilities for data, methods, and approaches will be presented as individuals have a chance to see what features seem to fit their orientation and research question, along with discussion of the “fallacies of SoTL” (Grauerholz and Main). Common ethical dilemmas will be explored through case studies. An ethical matrix (TLI 1.2) will help participants think through ethical concerns.
I Have Qualitative Data; Now What?
Deb Bennett, Ph.D. and Karen Manarin, Ph.D.
Mount Royal University
- Discuss approaches, methods and methodology,
- Practice analyzing data qualitatively,
- Develop strategies for moving from data to evidence,
- Explore dissemination options.
This 3 hour session will be a combination of plenary presentations and small group activities. Participants will discuss methods and methodology that are relevant for their research question and/or data. Depending on participant interest, various methodologies will be explored. These approaches could include traditional approaches of grounded theory and case study, the interpretive approaches, critical theory, quantitative approaches and experimental designs. Participants in small groups, will have the opportunity to practice analyzing data. Participants will also be led through strategies to move from data to evidence.
Designing Quantitative Research in SoTL
Augusto Legaspi, Ph.D. (Bow Valley College)
Tim Loblaw, M.Ed. (Bow Valley College)
Wendy Buick, MSt. (Bow Valley College)
Marjorie Contenti, M.Ed (Bow Valley College)
The systematic study of teaching and/or learning builds upon our disciplinary epistemologies (McKinney, 2007; Potter, 2008). Kreber (2002) suggests that SoTL is informed by the same standards as
disciplinary scholarship. Yet for disciplines where quantitative data are emphasized, the fit between SoTL and quantification may not seem apparent. This hands-on workshop walks participants
through the process of designing SoTL research where quantification is preferable given the research question, but using correlational and quasi-experimental designs. Following the steps in
designing research, participants will go through a case-study, and then design a research project based on a question or topic of their interest.
Given that SoTL involves students and teachers in the natural classroom settings, practical and ethical issues must be considered. Workshop participants will examine potential sources of data; reliability and validity issues; control; data analysis; and the limits in attributing causal relationships (McKinney, 2007). In promoting high ethical standards of conduct in research involving humans (Canadian Institutes of Health Research et al., 2010), participants will also explore ethical issues of SoTL research.
This workshop is for early-career SoTL researchers who may or may not have a research background. The goals of this interactive workshop are such that participants will a) appreciate the criteria necessary to build a quantitative-based research design, and b) be able to create a quantitative-based research design based on their specific SoTL research question. This will help participants set the foundation for a quantitative-based SoTL research they can pursue after the workshop.
For additional information please contact the Institute for Scholarship of Teaching and Learning at Mount Royal University: email@example.com or 403.440.5503.