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• W2838962014 abstract "An important role of open learner models (OLMs) is to support self-reflection. We explore how to do this for an OLM based on fine-grained long term physical activity tracker data that many people are accumulating. We aim to tackle two well-documented challenges that people face, in making effective use of an OLM for reflection. 1. We created a tutorial to scaffold sense-making needed to understand the meaning of the OLM. 2. We integrated an interface scaffold to help users consider key questions for effective reflection. We report the results of a qualitative think-aloud lab study with 21 participants viewing their own long term OLM. To evaluate the tutorial scaffolding, we split participants into an experimental group, who did a tutorial before exploring the OLM and a control group which explored the interface without the tutorial. To evaluate the reflection scaffolding, all participants first explored the interface as they wished. We then provided goal prompts to scaffold reflection. Our study revealed that, under lab conditions, the tutorial scaffolding was not needed - all participants in both groups could readily understand the OLM. However, we found that several of the goal prompts were important to help participants consider key questions for effective reflection. Our key contribution is insights into the design of scaffolding for reflection in a life-long learning context of gaining insights and setting goals for physical activity." @default.
• W2838962014 created "2018-07-19" @default.
• W2838962014 creator A5052920900 @default.
• W2838962014 creator A5085056759 @default.
• W2838962014 date "2018-07-03" @default.
• W2838962014 modified "2023-10-06" @default.
• W2838962014 title "Scaffolding for an OLM for Long-Term Physical Activity Goals" @default.
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• W2838962014 doi "https://doi.org/10.1145/3209219.3209220" @default.
• W2838962014 hasPublicationYear "2018" @default.
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