Paper Info
Title
Data-driven design pattern production: a case study on the ASSISTments online learning system.
Abstract
Recently, online learning systems such as cognitive tutors, online courses, and massive open online courses (MOOCS) increased in popularity in various domains. The design quality of online learning systems is difficult to maintain. Multiple stakeholders are involved (e.g., software developers, interaction designers, learning scientists, teachers), the system is complex, there are rapid changes in software, platforms (e.g., mobile, tablet, desktop) and learning subject content, and so forth. Many existing online learning systems collect a significant amount of data that describe students' learning gains and affective states, which are indirect measures of system quality. Analysis of online learning system data can uncover linkages between particular design choices made and student learning. In this paper, we describe the data-driven design pattern production (3D2P) methodology to prospect, mine, write, and evaluate design patterns for online learning systems from collected data. Design patterns are high quality solutions for recurring problems in a particular context. Patterns identified with 3D2P can guide the addition of new content and the modification of system designs to maintain the quality of online learning systems. A case study on the ASSISTments math online learning system is presented to demonstrate the 3D2P methodology and discuss its benefits and limitations.
Year
DOI
Venue
2015
10.1145/2855321.2855336
EuroPLoP 2015: 20th European Conference on Pattern Languages of Programs Kaufbeuren Germany July, 2015
Keywords
Field
DocType
Pattern prospecting, pattern mining, pattern writing, pattern evaluation, online learning systems, ASSISTments
Educational technology,Data-driven,Active learning (machine learning),Computer science,Popularity,Software design pattern,Synchronous learning,Software,Multimedia,Design pattern
Conference
ISBN
Citations 
PageRank 
978-1-4503-3847-9
2
0.44
References 
Authors
19
2
Name
Order
Citations
PageRank
Paul Salvador Inventado1167.35
Peter Scupelli225520.89