Paper Info
Title
Dynamically Adaptive Parsons Problems.
Abstract
Parsons problems are code segments that must be placed in the correct order with the correct indention. Research on Parsons problems suggests that they might be a more effective and efficient learning approach than writing equivalent code, especially for time-strapped secondary teachers. I am exploring this hypothesis with empirical experiments, observations, and log file analyses. Our research team also plans to modify the open-source js-parsons software to allow Parsons problems to be dynamically adaptive, which means that the difficulty of the problem will change based on the user's past performance. I plan to compare dynamically adaptive Parsons problems to the current non-adaptive Parsons problems to determine which learners prefer and to see if solving dynamically adaptive Parsons problems leads to more efficient and effective learning than solving non-adaptive Parsons problems.
Year
DOI
Venue
2016
10.1145/2960310.2960342
ICER
Keywords
Field
DocType
Parsons problems, Learning programming, Online learning, Ebook, Adaptive Learning
Online learning,Computer science,Learning programming,Software,Artificial intelligence,Adaptive learning
Conference
Citations 
PageRank 
References 
1
0.34
6
Authors
1
Name
Order
Citations
PageRank
Barbara J. Ericson119924.10