Cómo escribir un artículo de investigación con IA

Introduction to Manuscript Writing

Background of the Speaker

• Nilda Sanchez introduces herself as a Doctor in Sciences with a focus on biomedicine, emphasizing her experience with scientific articles and literature reviews.

Overview of the Topic

• The discussion centers around writing manuscripts, particularly focusing on research related to the effectiveness of AI-generated feedback in academic writing for undergraduate students.

Research Hypothesis

• A hypothesis is presented: AI intervention in teaching improves writing quality more than traditional feedback methods. This serves as a foundation for potential thesis work.

Structuring Your Manuscript

Initial Steps in Manuscript Preparation

• Researchers often start with rough notes that include project titles, research questions, and hypotheses. The structure may differ between social sciences and biological sciences but generally includes methodology, results, and analysis.

Using Size Space for Organization

• Notes can be organized using Size Space by creating a new notebook where researchers can copy or import their existing documents to facilitate manuscript development.

Conducting a Literature Review

Importance of Literature Review

• A comprehensive literature review is essential at the beginning of any manuscript or research project to gather relevant information and data from previous studies.

Utilizing Size Space for Literature Searches

• Instructions are provided on how to use Size Space for conducting literature reviews effectively by specifying search parameters such as publication years and topics related to AI in education. This ensures recent and relevant findings are included.

Analyzing Collected Articles

Organizing Findings from Literature Review

• After reviewing articles, researchers can create tables summarizing key details like study results, limitations, and conclusions from each article found during the search process. This helps streamline reference management for future use in manuscripts.

Building a Personal Library

• Researchers are encouraged to save relevant articles into a personal library within Size Space for easy access when drafting their manuscripts later on. This organization aids in maintaining an efficient workflow throughout the research process.

How to Conduct a Literature Review

Importance of Organizing Articles

• The speaker emphasizes the significance of exporting articles of interest into a library for easy access and organization.

• A specific example is given where 84 selected articles are stored in a folder, showcasing how they can be organized by title or methodology.

• Users can upload additional articles to their bibliographic references, creating a comprehensive library tailored to their research needs.

Exporting and Structuring References

• Once the desired articles are compiled, they should be exported in CSV format, which aids in maintaining essential references for the study.

• The process includes organizing articles by themes before re-exporting them, enhancing the quality of the manuscript being developed.

Utilizing AI for Enhanced Research Quality

• The speaker discusses using prompts to categorize articles based on themes, improving manuscript structure and clarity.

• Properly ordered references contribute significantly to the overall quality of the manuscript by ensuring that all relevant information is easily accessible.

Contextualizing Information for AI Efficiency

• It’s crucial to provide context when working with artificial intelligence tools; this helps narrow down search results and improves accuracy.

• Without sufficient context, AI may return overly general information that does not align with specific project goals.

Creating an Outline from Organized Notes

• The speaker highlights the importance of providing structured notes and references when generating preliminary outlines for manuscripts.

• Instructions are given on how to create sections such as introduction, methods, results, and discussion within a manuscript outline.

Manuscript Creation and AI Assistance

Structuring the Final Manuscript

• The final manuscript consists of essential sections, allowing flexibility in word count and structure. A detailed introduction is crucial for guiding the writing process.

• Documents can be saved on the platform "size space" and downloaded in Macdown format, which is optimal for AI readability. PDF format is also available but less recommended.

Drafting the Introduction

• Begin drafting with a structured introduction that incorporates citations from provided references. This ensures logical flow and adherence to academic standards.

• Use CSV formatted references to guide AI in generating an introduction based on pre-approved sources, preventing the inclusion of unverified information.

Reviewing AI Outputs

• It's important to specify reference usage when prompting AI to create content, ensuring it only utilizes known sources for accuracy.

• Provide clear instructions within prompts to generate a coherent draft while maintaining citation formats as required.

Quality Control in Drafting

• Regularly review outputs from the AI after multiple tasks are assigned; errors may accumulate if not checked promptly.

• Implement "contra prompts" to verify that generated content adheres to specified guidelines, enhancing overall quality without excessive manual effort.

Methodology Section Development

• When drafting methodology sections, clarify tasks within prompts and emphasize that no fictitious data should be created by the AI. This helps maintain scientific integrity throughout the manuscript creation process.

Methodology and Data Analysis in Manuscript Preparation

Crafting a Detailed Methodology

• The methodology outline generated with AI allows for specific instructions on how to present the methods, ensuring that the output closely resembles what the author would write.

• Intermediate files are provided during manuscript creation, which helps in tracking the development of sections like the final methodology.

Analyzing Results Effectively

• When analyzing results, it's crucial to inform the AI about the complexity of data; this includes creating an analysis plan that structures logical reasoning similar to the manuscript outline.

• Steps such as checking for missing values, normalizing data against means, and calculating standard deviations must be clearly outlined for effective processing by AI tools.

Ensuring Ethical Data Handling

• It is emphasized that AI cannot generate data ethically; it should only work with actual research notes and datasets provided by the user.

• Users must instruct AI not to fabricate data but rather focus solely on analyzing existing datasets while preparing results sections.

Structuring Results Presentation

• During result drafting, users can supervise and review outputs to ensure no fabricated information is included. This oversight maintains integrity in reporting findings.

• The AI generates figures based on statistical analyses and integrates them into a results section draft, providing placeholders for tables and graphs.

Transitioning from Results to Discussion

• After obtaining results, users can request a discussion section that synthesizes all previous components (introduction, methods, results).

• Providing final versions of earlier sections enhances context for generating a robust discussion. Users should specify tone and citation styles (e.g., APA format).

This structured approach ensures clarity in manuscript preparation while leveraging technology effectively without compromising ethical standards or scientific rigor.

Discussion on Document Preparation and Review Process

Importance of Verification in Document Preparation

• The speaker emphasizes the necessity for intermediate verification steps during document preparation, ensuring that contributors check their work before submission.

• Once the discussion is finalized, all created documents can be utilized to summarize the research effectively.

• Contributors are encouraged to include drafts or additional discussions to enhance the final summary.

Structuring the Summary

• The summary must follow a specific structure: introduction, methods, results, and discussion, as required by some journals.

• It is crucial that no new data or unsupported claims are included in the summary; it should strictly reflect provided context and results.

• Initial submissions often contain excessive information; thus, word limits should be enforced for quality summaries.

Finalizing the Manuscript

• After preparing a comprehensive summary, a complete manuscript needs to be assembled from various sections created earlier.

• Contributors should be instructed not to expand sections or add new statements but only use provided text to maintain accuracy and relevance.

Quality Assurance in Document Creation

• The final document should exhibit high quality suitable for publication, including all necessary components like references and results tables.

• Contextual instructions are vital; providing examples of preferred writing styles helps align contributions with expectations.

Cross-verification and Data Analysis

• Cross-verification is essential for each task assigned; errors may arise when multiple tasks are given simultaneously.

• When analyzing data, it's important to specify what data must be included or excluded within prompts for accurate analysis outcomes.