I chose to use a mixed methods research approach to provide information as to how participants learn when using a flipped model. I chose this option because I wanted to see both quantitative measurements that I could compare between the control group and the rest of the cohort, and give room for individual insights about their learning experience through free response qualitative questions. I also included in-class observation and notes to supplement survey responses. A full detail of my METHODS SECTION of the research draft will offer further insight into this process.
The value of each method is dependent on the context and goal of the research. Qualitative research design is based on a social constructionist perspective. The problems that are addressed become research questions based on prior experience. Thus, it is a building up of supportive data on what is experienced, filtered through new models of instruction. The main component is the individual's experience, so methods to collect this data involves interview, observation, and/or archival (content) data. Analysis of qualitative data includes content analysis and coding of entries on the manifest level, what was said without interpretation, and the latent level, where interpretation brings the data to life. Quantitative methods emphasize objective measurements and the statistical, mathematical, or numerical analysis of data collected through polls, questionnaires, and surveys, or by manipulating pre-existing statistical data using computational techniques. Quantitative data is less interpretive, and helpful when looking at large sample sizes. The US census conducted every decade is an example of quantitative data collection. With such a large sample size, asking qualitative questions would be extremely time consuming, and the interpretation of such large sample sizes would be a challenge to code and interpret across such diversity of experience based on region, ethnicity, age, etc. Quantitative research is all about analyzing variables; their frequency, differences, and probability of validity. A mixed methods analysis is a combination of both qualitative and quantitative drawing from each methods strengths, to cover more pieces of the research question. Analysis of said data includes a combination of both analysis methods listed above. I chose a mixed methods analysis, because it provides the data needed to address my question: What is the impact of the flipped model on Social Emotional Learning (SEL)? This question is best addressed by collecting quantitative data about learning outcomes (i.e. what is the level of understanding of content), and also qualitative data which address the SEL learning and health while covering the content over the training weekend. I chose this mixed methods analysis because content and individuals' experiences are both important to this action research, understanding both dynamics of learning will guide how the program is taught in the future. The survey was administered via survey monkey site post intervention; the window to complete the survey lasts until 11/30/16, so not all data has been retrieved. Preliminary evaluation of the survey responses, has shown that those involved in the flipped learning did process the information with greater ease, maintaining a positive social emotional health. However, all participants seemed to be well supported to address the challenging topic of trauma awareness, the in-class portion of the training included enough scaffolding and SEL awareness to allow for most trainees to address the topics without feeling overwhelmed. My full analysis of the data collected (when it is completed and available), will investigate these variables. 11/26/16 Research Paper Draft: https://docs.google.com/document/d/1wP7Hm-HYKqUGoooZ8jqTHAc3n6orLb_ANlTJVaAvBfU/edit?usp=sharing Expanded Research Table: https://docs.google.com/document/d/13fuT3xR5FDZyQ_DSXTFn23CfRNI-6ReSaCXCeElb8Ig/edit?usp=sharing
5 Comments
Kelley S. Miller
11/26/2016 03:30:50 pm
It looks like you have a well thought-out method for data collection. Your test subjects will complete a survey regarding their experience with the flipped learning treatment, and you're making observations throughout the flipped learning process. It's also really neat to think about the application of flipped learning outside a typical school setting. If the model is showing promise in traditional education, then why not give it a broader scope?!
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zack
11/29/2016 07:33:59 pm
Yes, initially it looks like the flipped model worked. Anxiety is such a hindrance to learning, it paid off to prepare and ease that tension with front loading. I'm also excited to analyze the results!
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Todd
11/27/2016 07:46:11 am
A mixed method approach, especially in your research does seem to allow for the best of both the qualitative and quantitative analysis. I have opted for a quantitative approach, but as I look at my results, I am curious about the individual learner and their experience. As you describe this here, I think that I too will approach my next research with both the qualitative and quantitative analysis.
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11/29/2016 06:52:30 pm
I think the mixed methods study with the combination that you are using will work great in your study. It sounds very interesting and it sounds like you have a good understanding of which method to use and why.
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zack
11/29/2016 08:11:22 pm
I'm sold on the mixed method. I'm glad I put the open response questions in, they have revealed so much, you can tell in the tone of writing how they were affected by the experience. I will have to find a coding method for qualitative responses that includes looking at tone.. Good luck your work.
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AuthorAs a teacher and community advocate I strive to remedy the challenges of adverse childhood experiences (ACE), poverty and violence. I'm intrigued by the motivation that is cultivated by different supportive and discouraging learning environment, and how overcoming the achievement gap can transform our society. Archives
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