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Supporting Self-Regulated Learning and Student Success in Online Courses
Signals, nudges, or warnings sent to students, instructors, and/or administrators that are triggered when data-driven student performance or behaviors indicate a drop below a specified threshold or match a specified pattern.
Published in Chapter:
Supporting Student Self-Regulation: Designing and Deploying Effective Microsurveys and Warning Systems to Help Learners Help Themselves
Jeff Bergin (General Assembly, USA) and Kara McWilliams (ETS, USA)
DOI: 10.4018/978-1-6684-6500-4.ch006
Abstract
Microsurveys are a powerful tool to gather data to enable improved learner self-regulation, which can contribute to improved learner outcomes. However, for microsurveys to be effective, researchers may need to refactor their research, design, and evaluation processes to address microsurvey creation, deployment, and optimization. This chapter considers how researchers may develop microsurveys by formulating a research base, developing initial designs, and then conducting formative evaluation for ongoing improvement.
Full Text Chapter Download: US $37.50 Add to Cart
More Results
Capturing Student Affect: Designing and Deploying Effective Microsurveys
Signals, nudges, or warnings sent to students, instructors, and/or administrators that are triggered when data-driven student performance or behaviors indicate a drop below a specified threshold or match a specified pattern.
Full Text Chapter Download: US $37.50 Add to Cart
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