V
Ville Karavirta
Researcher at Aalto University
Publications - 55
Citations - 2167
Ville Karavirta is an academic researcher from Aalto University. The author has contributed to research in topics: Visualization & Software visualization. The author has an hindex of 21, co-authored 55 publications receiving 1934 citations. Previous affiliations of Ville Karavirta include Information Technology University & Helsinki University of Technology.
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Proceedings ArticleDOI
Review of recent systems for automatic assessment of programming assignments
TL;DR: It is stated that too many new systems are developed, but also acknowledge the current reasons for the phenomenon, and encourages opening up the existing systems and joining efforts on developing those further.
Journal ArticleDOI
A Review of Generic Program Visualization Systems for Introductory Programming Education
TL;DR: It is illustrated that program visualization systems for beginners are often short-lived research prototypes that support the user-controlled viewing of program animations; a recent trend is to support more engaging modes of user interaction.
Journal ArticleDOI
Visual Algorithm Simulation Exercise System with Automatic Assessment: TRAKLA2
TL;DR: A new framework, TRAKLA2, for building interactive algorithm simulation exercises, which supports automatic generation of model solutions as algorithm animations and the logging of statistical data about the interaction process resulting as students' exercises.
Proceedings ArticleDOI
How do students solve parsons programming problems?: an analysis of interaction traces
TL;DR: An online environment for Parsons problems in Python is used to record a detailed trace of all the interaction during the solving session to provide insights into students' solving process for these types of problems and ideas on how to improve the assignment environment and its use in programming education are provided.
Journal ArticleDOI
Experiences on automatically assessed algorithm simulation exercises with different resubmission policies
TL;DR: It is concluded that an encouraging grading policy, i.e., the more exercises students solve the better grades they achive, combined with an option to resubmit the solution is a very important factor promoting students' learning, but the number of resubmissions allowed per assignment should be carefully controlled.