Paper Info
Title
Visualization, Assessment and Analytics in Data Structures Learning Modules.
Abstract
In recent years, interactive textbooks have gained prominence in an effort to overcome student reluctance to routinely read textbooks, complete assigned homeworks, and to better engage students to keep up with lecture content. Interactive textbooks are more structured, contain smaller amounts of textual material, and integrate media and assessment content. While these are an arguable improvement over traditional methods of teaching, issues of academic integrity and engagement remain. In this work we demonstrate preliminary work on building interactive teaching modules for data structures and algorithms courses with the following characteristics, (1) the modules are highly visual and interactive, (2) training and assessment are tightly integrated within the same module, with sufficient variability in the exercises to make it next to impossible to violate academic integrity, (3) a data logging and analytic system that provides instantaneous student feedback and assessment, and (4) an interactive visual analytic system for the instructor to see students/ performance at the individual, sub-group or class level, allowing timely intervention and support for selected students. Our modules are designed to work within the infrastructure of the OpenDSA system, which will promote rapid dissemination to an existing user base of CS educators. We demonstrate a prototype system using an example dataset.
Year
DOI
Venue
2018
10.1145/3159450.3159460
SIGCSE '18: The 49th ACM Technical Symposium on Computer Science Education Baltimore Maryland USA February, 2018
Keywords
Field
DocType
interactive textbook,student engagement,visualization,learning analytics,data structures,algorithms
Data structure,Data logger,Learning analytics,Academic integrity,Visualization,Computer science,Teaching method,Student engagement,Analytics,Multimedia
Conference
ISBN
Citations 
PageRank 
978-1-4503-5103-4
0
0.34
References 
Authors
17
5
Name
Order
Citations
PageRank
Matthew Mcquaigue101.69
David Burlinson2114.41
Kalpathi R. Subramanian325021.55
Erik Saule439533.68
Jamie Payton516625.37