You can use the following AI tools to assist you in the process of generating your design:
Step 1: Paradigmatic View of the Researcher
AI: You could use Google Bard, Perplexity, or ChatGPT, to ask for the differences between the key wordlviews that a researcher can bring to a given study.
For instance, we could use the following prompt: What are the defining characteristics of the main worldviews or paradigmatic positioning (positivistic worldviews, post-positivistic worldview; constructivistic worldview; transformative worldview, and; pragmatic worldview) a researcher can bring to a given study?
Step 2: Topics & Goals of the Study
AI: Consensus could be used to assist users in the identification of relevant topics that have been published in peer-reviewed articles. Consensus is an AI-powered search engine designed to take in research questions, find relevant insights within research papers, and synthesize the results using large language models. It is not a chatbot. Consensus only searches through peer-reviewed scientific research articles to find the most credible insights to your queries.
AI: Carrot2 could be used to identify potential research topics. Carrot2 organizes your search results into topics. With an instant overview of what’s available, you will quickly find what you’re looking for.
Step 3: Conceptual framework of the study
AI: ResearchRabbit is a scholarly publication discovery tool supported by artificial intelligence (AI). The tool is designed to support your research without you switching between searching modes and databases, a process that is time-consuming and often escalates into further citation mining; a truly unpleasant rabbit hole (and that’s what inspired the name ResearchRabbit)
AI: 2Dsearch is a radical alternative to conventional ‘advanced search’. Instead of entering Boolean strings into one-dimensional search boxes, queries are formulated by manipulating objects on a two-dimensional canvas. This eliminates syntax errors, makes the query semantics more transparent, and offers new ways to collaborate, share, and optimize search strategies and best practices.
Step 4: Research Design/tradition
AI: Google Bard could be used to help users of Hopscotch understand the differences between research traditions for a certain topic.
For instance, we could use the following prompt: Generate a brief description of the key elements of a qualitative case study research design regarding the long-term impact of competency-based assessment on secondary education students in a secondary school in Marietta (Georgia). To do this, use the following nine steps proposed by the Hopscotch Model:
Step 1: Paradigmatic View of the Researcher
Step 2: Topics & Goals of the Study
Step 3: Conceptual framework of the study
Step 4: Research Design/tradition
Step 5: Research Questions
Step 6: Data Gathering Methods
Step 7: Data Analysis
Step 8: Trustworthiness/Validity
Step 9: Ethics driving the study
Step 5: Research Questions
AI: Consensus could be used to identify research questions that have been used in previously published studies. Consensus is an AI-powered search engine designed to take in research questions, find relevant insights within research papers, and synthesize the results using large language models. It is not a chatbot. Consensus only searches through peer-reviewed scientific research articles to find the most credible insights to your queries.
AI: Google Bard could be used to identify potential questions for a particular research tradition or design.
For instance, we could use the following prompt: Generate examples of research questions that could be used to drive a qualitative case study regarding the long-term impact of competency-based assessment on secondary education students in a secondary school in Marietta (Georgia).
Step 6: Data Gathering Methods
AI: We could use Google Bard to develop a draft of a data collection protocol for a given study.
For instance, we could use the following prompt: Generate an interview protocol for students involved in a qualitative case study regarding the long-term impact of competency-based assessment on secondary education students in a secondary school in Marietta (Georgia).
Step 7: Data Analysis
AI: We could use the AI module of Atlas.ti to analyze qualitative data
Step 8: Trustworthiness/Validity
AI: Google Bard could be used to identify potential strategies we could implement as researchers to ensure the trustworthiness/validity of a given study.
For instance, we could use the following prompt: What strategies could a researcher use to ensure the trustworthiness qualitative case study regarding the long-term impact of competency-based assessment on secondary education students in a secondary school in Marietta (Georgia).
Step 9: Ethics driving the study
AI: Google Bard could be used to identify potential ethical principles a researcher could define to ethically conduct a given study.
For instance, we could use the following prompt: What principles could a researcher define to ethically conduct a qualitative case study regarding the long-term impact of competency-based assessment on secondary education students in a secondary school in Marietta (Georgia)?
En el siguiente enlace puede encontrar una descripción detallada de todos los pasos que debe seguir para generar diseños de investigación sólidos y bien informados en ciencias sociales y educación. Rayuela le proporcionará información textual y multimedia que podría ayudar al diseño de su propio estudio.
Rayuela también ofrece tres itinerarios interactivos con el objetivo de proporcionar una guía paso a paso para la generación de diseños de investigación cualitativos, cuantitativos y / o de método mixto. Después de completar los formularios interactivos que encontrará en los sitios web anteriores, el sistema enviará automáticamente un correo electrónico al usuario, con el diseño completo generado en formato pdf. Además, el usuario también obtendrá un enlace que le permitirá actualizar el diseño de investigación tantas veces como fuera necesario.
