Eric Fouh

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Data Structures and Algorithms (DSA) courses are considered critical in any computer science curriculum. DSA courses emphasize topics related to procedural dynamics (how an algorithm works) and algorithm analysis (the algorithm's efficiency). Historically, algorithm visualizations (AVs) have dealt almost exclusively with portraying algorithm dynamics, and(More)
We present an analysis of log data from a semester's use of the OpenDSA eTextbook system with the goal of determining the most difficult course topics in a data structures course. While experienced instructors can identify which topics students most struggle with, this often comes only after much time and effort, and does not provide real-time analysis that(More)
As the use of online interactive tutorials becomes more widespread, there will be more opportunities to use fine-grained interaction log data to deduce student behavior. Log data can help debug usability or pedagogical problems with the tutorials, or guide redesign to discourage pedagogically poor student behavior. OpenDSA is a collection of open source(More)
We present a study to evaluate OpenDSA, an open source, online system combining textbook-quality content with algorithm visualizations and interactive exercises for data structures and algorithms courses. We hypothesize that answering many questions and exercises with immediate feedback allows students to know whether they are on track with their learning.(More)
OpenDSA is an open-source, community-based effort to create a complete active-eBook for Data Structures and Algorithms courses at the undergraduate level. Active-eBooks go beyond hypertextbooks, being a close integration of text and images with interactive visualizations and assessment activities. They solve two major problems: The difficulty of conveying(More)
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