Quais são os benefícios e desafios do uso de métodos mistos na pesquisa em edtechs? (2024)

Furthermore, this integration not only adds depth to the study but also helps in the interpretation of quantitative data, making the findings more credible and applicable. Furthermore, mixed-method research supports the development of evidence-based practice by allowing researchers to address complex research questions that cannot be answered using either method alone. This method is particularly useful in multidisciplinary settings and complex situational or societal research, where a nuanced understanding of the subject matter is crucial. The flexibility of mixed methods also allows researchers to tailor their research design to the specific needs of their study, making it a versatile tool for addressing a wide range of research questions

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Mixed methods in edtech research combine quantitative and qualitative approaches. Quantitative gathers numerical data, while qualitative delves into insights and perspectives. This combination enriches understanding, providing both statistical evidence and deep context. Benefits include a comprehensive view and more robust results.However, challenges exist, like integrating diverse methods and handling larger workloads. Proper planning and skilled analysis are crucial. In edtech research, mixed methods offer a holistic view, but they demand careful execution to harness their full potential and deliver insightful and impactful findings.

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The research question, data, and purpose determine the mixed-methods design, which has pros and cons. Common designs are:Sequential explanatory: Quantitative data first, then qualitative data to explain it.Sequential exploratory: Qualitative data first, then quantitative data to confirm it.Convergent: Quantitative and qualitative data to validate and enrich each other.Embedded: One method is primary, the other is secondary. E.g., quantitative survey with qualitative interview.Transformative: Quantitative and qualitative data to understand and solve a social problem.Multiphase: Several qualitative and quantitative data collection and analysis phases.Triangulation: Multiple methods to cross-check data from different sources.

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Mixed-method research is highly beneficial in research for several reasons. It combines the strengths of both quantitative and qualitative research methods, providing a more comprehensive understanding of the phenomena under study. This approach allows for a fuller picture that enhances the description and understanding of the research topic. By integrating quantitative data, such as survey results, with qualitative data, like interviews or observations, mixed-method research can capture a broader range of information, including unanticipated facets of the topic that may be relevant to the research problem.

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Some benefits of using mixed-methods are:- They help researchers study a problem in-depth and comprehensively.- They increase the validity and reliability of the findings by using data from different sources.- They offer flexibility to researchers in choosing data collection and analysis methods that fit their question, context, and participants.- They provide nuanced insights into the experiences, perceptions, and attitudes of participants, which quantitative methods may not capture.

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Besides considering the typology of design, it also helps to create a visual model to understand the relationships between variables in your mixed methods research: the independent, dependent and moderating variables. Taking a look at that visual may help decide the typology that’s most relevant to your research questions. For example, if I’d like to understand engagement patterns of children with animated media, engagement as a variable may be dependent on child’s interests and context, joint-engagement with a caregiver, quality of the animated media etc. I chose a convergent typology for this study to get a holistic perspective by analyzing qual/quant data separately first and combined later.

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New research needs to ensure that it offers the transparency required to overcome the embedded discriminatory practices in previous studies so that it can adequately address the issues of minority populations, as participants in the study and/or as members of the team conducting the study. This transition will take time and focus to overcome. The mixed method protocol is a grounded tool to begin the process of ensuring that as we begin to build a foundation of research-based methodology at the same time we are ensuring that our approach is centered through the lens of the diversity of the collective human experience.

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When studying the efficacy of a curriculum, a tool, or a platform, using only quantitative methods creates the risk that conclusions will be based only on the largest groups. Groups with small membership may not generate high statistical confidence levels or are often left out of the data set entirely. This is sometimes called the "Small-N Problem." Combining quantitative and qualitative methodologies to use data to understand the question being answered at scale, and then rigorously interrogating the same question in depth using qualitative methods can help researchers combat this Small-N Problem, and provide richer, more valuable findings.

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I’ll need to reflect on this article. Perhaps I’m reading it differently than intended and am considering different approaches.

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