Personal informatics for learning
نویسندگان
چکیده
Learning analytics dashboards support learners and teachers by enabling awareness, reflection, sensemaking and improved understanding of learning behavior. Our experiments show that many such applications do not meet student expectations. Challenges include promoting change of behavior and increasing motivation. In this paper, we present our results in the learning analytics. Author
منابع مشابه
Analysis of M.D. Learning Environment Regarding Attention to Education Personal Development Competency
Background: One of the necessities of doctor of medicine (M.D.) curriculum is educating seven competencies, including personal development competency, which helps students acquire and use effective abilities in their personal and professional life, including self-knowledge, psychology of change, strategic and management principles, and informatics. Given the importance of this ...
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A main challenge in designing for children with Attention Deficit Hyperactivity Disorder (ADHD) is to support the learning process of supressing undesired behaviour on daily routines by means of positive feedback and rewards. Personal Informatics (PI) is a model that supports capturing and integration of personal data to facilitate reflection and action that is used as a design platform to supp...
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متن کاملErtek, G., Demiriz, A., Çakmak, F. (2012) “Linking Behavioral Patterns to Personal Attributes through Data Re-Mining” in Behavior Computing: Modeling, Analysis, Mining and Decision. Eds:
A fundamental challenge in behavioral informatics is the development of methodologies and systems that can achieve its goals and tasks, including behavior pattern analysis. This study presents such a methodology, that can be converted into a decision support system, by the appropriate integration of existing tools for association mining and graph visualization. The methodology enables the linki...
متن کاملResearch and applications: Automatic glaucoma diagnosis through medical imaging informatics
BACKGROUND Computer-aided diagnosis for screening utilizes computer-based analytical methodologies to process patient information. Glaucoma is the leading irreversible cause of blindness. Due to the lack of an effective and standard screening practice, more than 50% of the cases are undiagnosed, which prevents the early treatment of the disease. OBJECTIVE To design an automatic glaucoma diagn...
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تاریخ انتشار 2013