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Title:
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FEATURES STUDENTS REALLY EXPECT FROM LEARNING ANALYTICS |
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Author(s):
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Clara Schumacher, Dirk Ifenthaler |
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ISBN:
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978-989-8533-55-5 |
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Editors:
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Demetrios G. Sampson, J. Michael Spector, Dirk Ifenthaler and Pedro Isaías |
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Year:
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2016 |
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Edition:
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Single |
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Keywords:
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Learning analytics; higher education; students expectations; self-regulated learning |
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Type:
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Full Paper |
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First Page:
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67 |
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Last Page:
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76 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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In higher education settings more and more learning is facilitated through online learning environments. To support and understand students learning processes better, learning analytics offers a promising approach. The purpose of this study was to investigate students expectations toward features of learning analytics systems. In a first qualitative exploratory study a total of 20 university students participated. They were interviewed about their expectations of learning analytics features. The findings of the qualitative study were validated in a second quantitative study in which 216 students took part. Findings show that students expect learning analytics features to support their planning and organization of learning processes, provide self-assessments, deliver adaptive recommendations, and produce personalized analyses of their learning activities. |
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