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Update the attached proposal to include the following below:
Connectivism theory Proposal: The final research proposal should contain:
Motivation and Problem Definition – Grab the attention of your reader and convince them it is a worthy problem to solve. Emphasize real-world and practical aspects of the problem (1 page).
Literature-based Rationale – Elaborate your motivation section with a discussion of the limitations of solving or understanding the problem as published in the scholarly literature. (2 pages)
Positionality and Context – Discuss who you are and where you are situated, how you are uniquely positioned to study / solve the problem, and what the impacts of your positionality will be on the study. (1 page)
Project Purpose and Approach Overview – Clearly define the broad goals / purpose of the study and overview the two contrasting approaches (theory, methodology, overall study design). Consider making a graphical figure overview for clarity which could double as good oral presentation material. (1 page / figure)
Present Research Approach1 –
Theoretical Framework Discussion and Operationalization – Discuss the theoretical framework and the original context it was developed in and its key purpose or insights from originator. Discuss usage in the DBER field (e.g., engineering or computing education) of your choice and any limitations or critiques to that usage.
Research questions – The RQs can be a simple restatement of those in the project purpose, or they may be somewhat refined based on influence of the theory. There is no requirement for the number or type of questions – it is based on your research interests and should align with your research design.
Research Design 1 –
Cite and discuss a methodological approach.
Discuss institutional context, target population(s) or phenomena, researcher access procedures (e.g., participant recruitment, selection), quantitative experimental hypotheses, etc. (as appropriate)
Discuss data collection procedures. Include sample protocols for observation, survey, interview, etc., possibly in an Appendix.
Data analysis procedures – how exactly will you answer your research questions. Data analysis is more than coding.
Contingency plans – what can go wrong and how would you resolve it if it did? I suggest brainstorming the top ~5 things that can go wrong and making a table of problems and solution ideas.
Present Research Approach 2 (as above) – Change theory
Critical appraisal of the research designs.
Strengths and contributions of each research design
Consider strengths for societal impact (what your work can help contribute positively to the world), ethics (how it cares for participants’ well-being or privacy) and validity and quality of research strengths (how your work is well-designed, theoretically informed, methodologically robust)
Weaknesses and plan to address them
What are the apparent concerns for ethics (power dynamics, participants feeling coerced to reveal sensitive information or agree with the researcher, biased perspective) and validity and quality (possibility of cherry picking only the data you like, finding data that doesn’t relate to the phenomenon)?
How could you mitigate these concerns in your research?
As discipline-based education change agents, we should always consider the implications, audiences, and practical utility for our work. This section should include a discussion of potential implications of your results for (1) researchers and (2) practitioners (e.g., teachers, staff, faculty, administrators, students, as appropriate).
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