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Today weβre discussing how to develop effective research questions. Whatβs the challenge in formulating these questions?
I think they can sometimes be too narrow or too broad, making them hard to answer.
Exactly! If a question is too narrow, there may not be enough evidence to support it. But if itβs too broad, it becomes overwhelming. To help with this, we can use something called a feasibility matrix to map our ideas against the available resources. Can someone tell me what that might involve?
Maybe we list questions on one side and see if we have enough sources for each?
Great idea! This visual helps us assess which questions are viable for research. Remember the acronym "SPB"βSpecific, Plausible, Broadβto keep in mind what kind of question you need.
So, can I turn a very broad question into something more specific easily?
Yes! Think about breaking the broad question down into sub-questions. This way, you can research each part deeply. Let's summarize the key points: we want our questions to be specific enough to gather evidence yet broad enough to explore different angles.
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Now, let's dive into how Bloom's taxonomy can guide us in formulating our research questions. Who remembers what Bloom's levels are?
Yeah, I know it includes levels from remembering to creating questions.
Exactly! By employing this taxonomy, we can create questions that require higher-order thinking. For example, you might ask 'How did�' which encourages analysis, or 'To what extent�' for evaluation. Can anyone suggest another question format we could use?
What about βIn what ways might...?β That sounds like it would inspire creativity!
Absolutely! This format can lead to innovative solutions and discussions. Remember to apply the taxonomy as a checklist during your question development.
That makes it way easier to focus on the type of question I want to ask.
Great insight! Let's recap: Bloom's taxonomy is a tool that can help us create questions at various levels such as analysis, evaluation, and creation.
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Finally, letβs talk about refining your research questions. We can use an iterative workshop model. What does that mean?
It means we keep adjusting our question based on feedback?
Spot on! Youβll draft a question, evaluate it against criteria like relevance and originality, get peer feedback, and revise accordingly. Why do you think this process is valuable?
It helps make sure the question is strong and really focused on what matters.
Exactly! This process cultivates a robust inquiry approach. Remember the acronym 'R.A.O.E.'βRelevance, Originality, Accessibility, and Ethicsβas the criteria for evaluation.
Thatβs a good way to remember what to look for!
Thank you for your participation! Let's summarize: refining research questions iteratively ensures they are well-defined, relevant, and ethically sound.
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The section elaborates on the process of formulating effective research questions by focusing on precision versus breadth, employing Bloomβs taxonomy, and refining questions through iterative feedback. This process is essential for conducting rigorous research and contributing meaningfully to the Capstone Project.
In this section, you will learn the importance of carefully crafting research questions that guide your inquiry in a meaningful way. Effective research questions should strike a balance between being specific enough to allow deep analysis while also being broad enough to ensure sufficient evidence is available for exploration. The key elements covered in this section include:
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Learn to calibrate questions so they are neither so narrow that no evidence exists nor so broad that analysis becomes superficial. Create βfeasibility matricesβ that map available class texts to potential questions.
The first step in developing a research question is finding the right balance between precision and breadth. A question that is too narrow may not have enough information available to analyze thoroughly, while a question that is too broad can lead to vague and superficial analysis. To help in this calibration, you can create feasibility matrices, which are essentially charts that help you understand what information is available in the texts you have and how they relate to potential research questions. This way, you can choose a question that you can effectively research and analyze with the available resources.
Imagine you're planning a road trip. If your destination is too specific, say, 'the exact spot where history was made 200 years ago,' you might struggle to find any information or roads leading there. Conversely, if your destination is too broad, like 'any interesting place in the world,' you'll waste time looking for a focus. A feasible destination might be 'historic towns in your state,' where you have plenty of maps and guides available.
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Employ Bloomβs taxonomy to craft questions targeting analysis (βHow didβ¦β), evaluation (βTo what extentβ¦β), and creation (βIn what ways mightβ¦β).
Using Bloom's taxonomy is a great way to formulate more rigorous and impactful research questions. This taxonomy categorizes different levels of thinking. For instance, when crafting a question that aims for analysis, you might ask, 'How did specific events influence outcomes?' For evaluation, a question could be, 'To what extent did this policy improve social equity?' And for questions that encourage creativity, you could ask, 'In what ways might we address this issue in the future?' By structuring your questions around these types, you ensure you are engaging deeply with the material and encouraging critical thinking.
Think of crafting your research question like preparing a dish. If you're just heating frozen pizza (a low-level thinking task), you won't engage your culinary skills much. However, if you decide to analyze flavors and create a new recipe that blends different cuisines, youβre taking steps to create a more complex and satisfying meal. Each question typeβanalysis, evaluation, and creationβadds layers to your dish, enabling a richer exploration of your topic.
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Use a workshop model where you draft a question, test it against 3β5 criteria (relevance, originality, scope, resource availability, ethical considerations), receive peer feedback, and revise.
Iterative refinement is a process of continuously improving your research question through feedback and self-evaluation. In this model, you start by drafting a question that interests you. Then, assess it using specific criteria: Is it relevant to your field? Is it original or does it overlap with existing research? Is its scope manageable within your resources and timeframe? Additionally, consider ethical considerationsβensure your question respects all voices that contribute to the topic. After evaluating your question against these criteria, it's crucial to get peer feedback to gain different perspectives, followed by revising your question to enhance its clarity and focus. This process ensures you refine your question into one that is well-suited for deeper inquiry.
Consider preparing a group presentation. You start with ideas (the rough draft), then discuss them with your team (peer feedback), and maybe realize some ideas worked better than others (testing against criteria). You go back, refine your points, and by the end, your presentation is not only clearer but also more engaging. Just like that, refining your research question can lead to a much stronger and more focused investigation.
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Key Concepts
Effective Research Question: A clear and concise question guiding research efforts.
Feasibility: The measure of whether a research question can be answered based on available resources.
Higher-Order Thinking: Critical thinking skills that enable analysis, evaluation, and creativity.
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Example of a precise research question: 'How did the implementation of the Magna Carta influence modern democracy?'
Broad question turned precise: From 'What is governance?' to 'How has the concept of governance evolved from ancient to modern times?'
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To find the right question, let them define, specific and clear, they'll shine and align.
Imagine a student who wants to research how climate change affects cities. They start broad but then refine to focus on just their town, leading them to powerful insights. This journey teaches the value of specificity.
Remember SPB for Research: Specific, Plausible, Broad questions lead to better inquiries.
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Review the Definitions for terms.
Term: Precision
Definition:
The quality of being exact and accurate in formulating research questions.
Term: Feasibility Matrix
Definition:
A tool used to evaluate the viability of research questions in relation to available resources.
Term: Bloom's Taxonomy
Definition:
A hierarchical classification of cognitive skills used to create educational goals, questions, and assessments.
Term: Iterative Refinement
Definition:
The process of repeatedly revisiting and improving a question based on feedback and evaluation criteria.
Term: Research Question
Definition:
A specific query that guides the investigation and serves as the focus of a research project.