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should be clear as to what your project is adding onto what's already known. Different population? Different question? Etc. If your project is not adding anything additional beyond what's already known, encouraging y'all to pivot to a related/similar question, but distinct enough that you're not just reporting what your background section already has determined.
Hypothesis
P
Data
D
What is the size of your ideal dataset? For the variables, with what frequency do you want these data? Do you need daily counts? or weekly? be specific
Ethics
P
Team expectations
P
Timeline
P
Rubric
Unsatisfactory
Developing
Proficient
Excellent
Abstract
The abstract is confusing or fails to offer important details about the issue, variables, context, or methods of the project.
The abstract lacks relevance or fails to offer appropriate details about the issue, variables, context, or methods of the project.
The abstract is relevant, offering details about the research project.
The abstract is informative, succinct, and clear. It offers specific details about the educational issue, variables, context, and proposed methods of the study.
Research question
The research issue remains unclear. The research purpose, questions, hypotheses, definitions variables, and controls are still largely undefined, or when they are poorly formed, ambiguous, or not logically connected to the description of the problem. Unclear connections to the literature.
The research issue is identified, but the statement is too broad or fails to establish the importance of the problem. The research purpose, questions, hypotheses, definitions or variables, and controls are poorly formed, ambiguous, or not logically connected to the description of the problem. Unclear connections to the literature.
Identifies a relevant research issue. Research questions are succinctly stated, connected to the research issue, and supported by the literature. Variables and controls have been identified and described. Connections are established with the literature.
Presents a significant research problem. Articulates clear, reasonable research questions given the purpose, design, and methods of the project. All variables and controls have been appropriately defined. Proposals are clearly supported by the research and theoretical literature. All elements are mutually supportive.
Background
Did not have at least 2 reliable and relevant sources. Or relevant sources were not used in relevant ways
A key component was not connected to the research literature. Selected literature was from unreliable sources. Literary supports were vague or ambiguous.
Key research components were connected to relevant, reliable theoretical and research literature.
The narrative integrates critical and logical details from the peer-reviewed theoretical and research literature. Each key research component is grounded in the literature. Attention is given to different perspectives, threats to validity, and opinion vs. evidence.
Hypothesis
Lacks most details; vague or interpretable in different ways. Or seems completely unrealistic.
A key detail to understand the hypothesis or the rationale behind it was not described well enough
The hypothesis is clear. All elements needed to understand the rationale were described in sufficient detail
The hypothesis and its rationale were described succinctly and with clarity about how they are connected to each other
Data
Did not describe ideal dataset fully AND does not include at least one reference to an external source of data.
Either does not describe the ideal dataset fully AND does not include at least one reference to an external source of data that could be used to answer the proposed question.
Ideal dataset(s) well-described and includes everything needed for answering question(s) posed. Includes at least one reference to a source of data that would be needed to fully answer the question proposed.
Ideal dataset(s) well-described and includes everything needed for answering question(s) posed. Includes references to all sources of data that would be needed to fully answer the question proposed. The details of the descriptions also make it clear how they support the needs of the project and discuss the differences betweeen the ideal and real datasets.
Ethics
No effort or just says we have no ethical concerns
Minimal ethical section; probably just talks about data privacy and no unintended consequences discussion. Ethical concerns raised seem irrelevant.
The ethical concerns described are appropriate and sufficient.
Ethical concerns are described clearly and succinctly. This was clearly a thorough and nuanced approach to the issues
Team expectations
Lack of expectations
The list of expectations feels incomplete and perfunctory
It feels like the list of expectations is complete and seems appropriate
The list clearly was the subject of a thoughtful approach and already indicates a well-working team
Timeline
Lack of timeline. Or timeline is completely unrealistic
The timeline feels incomplete and perfunctory. The timeline feels either too fast or too slow for the progress you expect a group can make
It feels like the timeline is complete and appropriate. it can likely be completed as is in the available amount of time
The timeline was clearly the subject of a thoughtful approach and indicates that the team has a detailed plan that seems appropriate and completeable in the allotted time.
Scoring: Out of 9 points
Each Developing => -0.75 pts
Each Unsatisfactory/Missing => -1.5 pts
until the score is 0
If students address the detailed feedback in a future checkpoint, they will earn these points back.
Comments
The text was updated successfully, but these errors were encountered:
For our checkpoint we changed the background to detail what the previous work has shown us, as well as what we plan to do to add on and use that previous work to do.
For the ideal dataset points, we added a small paragraph in the data section detailing our ideal set, as well as how the real data differs from it.
Project Proposal Feedback
Score (out of 9 pts)
Score = 9
Feedback:
Rubric
Scoring: Out of 9 points
If students address the detailed feedback in a future checkpoint, they will earn these points back.
Comments
The text was updated successfully, but these errors were encountered: