Conducting online design-based research: START e-business training as an educational intervention
Keywords:Online Educational Intervention, Online Design-Based Research (DBR), Adult Education, Chamilo Learning Management System LMS, e-Business Training, Employability Training, Mixed Methods Research
Design researchers undertake continual refinement, based on findings from analysed data, to make iterative changes to educational research that is particularly concerned with improving the effectiveness of the educational design. This includes generating a range of artefacts that bridge educational theories with practice, resulting in new knowledge that is useful for teaching and learning in complex settings. This research focuses on teaching business skills and computer skills through transformational, reflective, and experiential learning interactions and practices. It is argued that constructivism theory provides a suitable approach for educating adult Arabic-speaking migrants to build on their skills, so they can make sense of their experiences, and continue their professional education. While we teach the Arabic-speaking migrants both business and computer skills directly, we can indirectly enhance English skills, if we focus on different aspects of English as suggested by English for specific purpose theory. This intervention constitutes a new approach to educational design. In developing the intervention, we applied the ADDIE model for instructional design. The learning management system that hosts the educational design is Chamilo. The research design uses quantitative and qualitative data collected through Chamilo including an online survey, data logs, and practical tests and quizzes. As well as data collection methods embedded in Chamilo, participant observations during Skype support sessions provide another data source for evaluating trainees’ learning and design effectiveness. This paper coalesces some considerations and limitations of online design-based research, while it also draws some reflections and action plans to overcome potential challenges in data collection as part of DBR iterative refining processes.
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