Data analysis in traditional research involves rigorous statistical analysis

Data analysis in traditional research involves

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questions derive from specific situation and practice (Cooperrider, Whitney & Stavros, 2008). Data analysis in traditional research involves rigorous statistical analysis, while in action research data analysis focus, not in statistical, but practical significance. While traditional research is for everybody and involves representative or random sampling, action research is carried out by education individuals or institutions and sampling is on the students with whom they work (Cooperrider, Whitney & Stavros, 2008). References Cooperrider, D.L., Whitney, D. & Stavros, J.M. (2008). Appreciative Inquiry Handbook (2nd Ed.) Brunswick, OH: Crown Custom Publishing
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PRINCIPLES OF BEST PRACTICE IN AR 6 Journal Four: Appreciative Inquiry in Research This is a reflective journal entry about appreciative inquiry in research. The journal is written reflecting on my experience developing the interview questions and on the 4-D model of organizational improvement. Change is inevitable in every organization; it only depends how the change occurs. Appreciative inquiry (AI) as a model seeks to engage an organization’s stakeholders in a self-determined change (American Association of Community Colleges, 2013). Using appreciative inquiry, the model efforts to ask questions and envisioning the future. This occurs in order to nurture positive relationships and build on the current potential of a given situation, organization or person. In AI, the most commonly used model utilizes a cycle of four processes, also called the 4-D model. The 4-D model focuses on: - Discover: This involves identifying the best organizational processes, which works well; for instance, advantages of being an effective teacher over mere classroom instruction - Dream: This involves envisioning of processes, which would work well in future; for instance, how can I become an effective teacher? - Design: involves planning and prioritizing processes, which would work well; for instance, what activities must an effective teacher do during instruction to learners? - Deploy (Or Destiny): is the execution (implementation) of the proposed design; for instance, will being an effective teacher increase my classroom interaction? The aim of AI, with 4-D, is to build – or to rebuild – the organization around what works well, rather than focusing on what doesn't. AI practitioners try to convey this approach as the opposite
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PRINCIPLES OF BEST PRACTICE IN AR 7 of problem solving. For instance, the results of Discovery can include the formation of new relationships and alliances, which bridge across traditional barriers. Dream will create a bold and compelling vision, like how to become an effective teacher (American Association of Community Colleges. 2013). Instructors or teachers can gain a deeper appreciation of each other on a personal and professional level using AI-4D cycle. Incremental change can also take place through the AI 4-D Cycle. For instance, in a seminar teacher team members can undertake training in technology and other pedagogical related professional development and use the AI-4D model to increase their chances of success. They can discover new ways to collaborate and integrate their teaching becoming effective in their instruction to students.
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