Order from us for quality, customized work in due time of your choice.
I need to make changes to my chapter 3
1. Refine and Clarify Theoretical Framewo
I need to make changes to my chapter 3
1. Refine and Clarify Theoretical Framework
Feedback: Your theoretical framework needs clear definition and explanation.
Action: Clearly articulate the theoretical underpinnings of your study. Highlight how constructivism and the Bloom-Texan model relate to your research on AI literacy. Explain why you chose these and how they guide your research design.
2. Population and Sample Size
Feedback: Your population and sample size are broad; they need specification and justification.
Action:
Specify the exact number of participants you aim to include in your study, distinguishing between teachers, students, parents, and administrators.
Detail the sampling strategy (e.g., stratified sampling across four districts).
Include your intention to survey approximately 400 participants per grade level but clarify expected response rates and realistic final sample sizes.
3. Data Collection Methodology
Feedback: There was uncertainty about how data will be stored and handled.
Action:
Explicitly state that data will be stored securely on the school district’s systems, ensuring FERPA compliance.
Describe each data collection tool you will use, including surveys, interviews, and classroom observations.
Include sample forms and the multilingual consent forms in an appendix.
Explain the process of survey distribution and collection, ensuring clarity on how anonymity and confidentiality will be maintained.
4. Ethical Considerations and IRB Approval
Feedback: Need for detailed ethical practices and IRB processes.
Action:
Outline the ethical considerations in detail, including data encryption, informed consent processes, and handling of sensitive information.
Provide a roadmap of the IRB approval process, expected timelines, and documentation to be submitted for ethical review.
5. Mixed Methods Justification
Feedback: The rationale behind using mixed methods was questioned.
Action:
Justify the use of mixed methods in your study. Discuss how qualitative and quantitative approaches will complement each other to provide a fuller understanding of AI literacy impacts.
Detail what specific qualitative and quantitative methods you will use and why they are appropriate for your research questions.
6. Detailed Methodological Approach
Feedback: Need for a more detailed explanation of methodologies.
Action:
Provide a step-by-step breakdown of your research methods, including structured interviews, focus groups, and statistical analyses.
Mention specific software (e.g., SPSS, NVivo) you will use for data analysis and why these tools were selected.
7. Operational Definitions and Key Terms
Feedback: Some key terms and operational definitions were rushed.
Action:
Ensure all key terms such as “AI literacy”, “digital competencies”, and “technological pedagogy” are clearly defined.
Include a glossary if necessary to aid reader comprehension.
8. Scope and Delimitations
Feedback: The scope of your study is too broad; it needs narrowing.
Action:
Clearly delineate the boundaries of your study. Focus more narrowly on specific aspects of AI literacy, perhaps by selecting key grade levels or a subset of schools.
Discuss the delimitations of your study, explaining why certain schools, grades, or subjects were chosen or excluded.
9. Longitudinal Study Clarification
Feedback: Clarification needed regarding the longitudinal aspect.
Action:
Clarify that while this study provides a snapshot, you propose continued research post-dissertation. State explicitly that this current study is not longitudinal but could lead to a longitudinal study.
10. Data Security and Longevity
Feedback: Concerns about long-term data security.
Action:
Detail how data will be preserved securely for the required duration (7-10 years), following both school district and Alverno College guidelines.
11. Expected Outcomes and Data Analysis
Feedback: Need more on how data will be interpreted.
Action:
Describe the expected outcomes and how you plan to analyze the data. Include potential correlations, thematic analyses, and how these will contribute to understanding AI literacy.
12. Feedback Integration
Feedback: Committee’s feedback needs full integration into your proposal.
Action:
Revise based on feedback to include more precise details in all sections.
Engage with your advisor to ensure that all committee feedback is adequately addressed and reflected in the revised Chapter 3.
Order from us for quality, customized work in due time of your choice.