Analytical tools for evaluating student learning and performance
作者： Marsha C. Lovett , Christopher R. Genovese
DOI:
关键词: Student learning 、 Computer science 、 Blended learning 、 Data science 、 Statistical analysis 、 Human–computer interaction 、 Association (object-oriented programming) 、 Domain (software engineering)
摘要: In various embodiments, tools, strategies, and techniques are provided for analyzing student performance learning activity to facilitate enhancing the experience in different environments. A analysis system can be that uses a statistical framework making inferences about level of both individual students classes multiple association with knowledge components included domain.
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