This paper introduces ISLE (Interactive Statistics Learning Environment), an authoring framework for building interactive statistics lessons that supplement classroom instruction. Using a case study of two university courses at Carnegie Mellon University (\u201cR Programming for Analytics\u201d for graduate students,\u201cReasoning with Data\u201d for undergraduates) we show how ISLE helps to blend off-line and on-line instruction. Features that facilitate ISLE\u2019s blended learning approach include 1) a hint, assessment, and feedback system 2), on-the-fly data collection from students eg through surveys, and 3) real-time peer-to-peer communication and monitoring of student actions. ISLE also allows collection of all user interactions, including mouse clicks and text inputs along with their associated timestamps. It is our hope that this will give instructors new insights into patterns of student learning.<\/p>\n","protected":false},"excerpt":{"rendered":"
This paper introduces ISLE (Interactive Statistics Learning Environment), an authoring framework for building interactive statistics lessons that supplement classroom instruction. Using a case study of two university courses at Carnegie Mellon University (\u201cR Programming for Analytics\u201d for graduate students,\u201cReasoning with Data\u201d for undergraduates) we show how ISLE helps to blend off-line and on-line instruction. 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