Title
Instructional Design + Knowledge Components: A Systematic Method for Refining Instruction.
Abstract
This paper reports on a systematic method used to improve an existing unit of instruction. The method is distinctive in combining steps of instructional design with "knowledge components" from a cognitively-based framework of learning. Instructional design is used to develop assessment instruments that incorporate information about student misconceptions. The method uses the assessment instruments to evaluate student performance and learning gains, while statistical analysis evaluates the quality of the instruments themselves using measures of difficulty and discrimination. Fine-grain insight into possible improvements is enabled by the knowledge components implicated by the assessment. The method is illustrated and evaluated by applying it to a unit of instruction on collection-based iteration in a computational thinking class. Data gathered during this evaluation highlights a number of opportunities within the unit to refine the instruction.
Year
DOI
Venue
2018
10.1145/3159450.3159478
SIGCSE '18: The 49th ACM Technical Symposium on Computer Science Education Baltimore Maryland USA February, 2018
Keywords
Field
DocType
Knowledge Components,CS1,CS Education,Assessment,Instructional Design
Software engineering,Computer science,Computational thinking,Instructional design,Multimedia,Statistical analysis
Conference
ISBN
Citations 
PageRank 
978-1-4503-5103-4
2
0.40
References 
Authors
6
5
Name
Order
Citations
PageRank
Luke Gusukuma162.25
Austin Cory Bart2257.21
Dennis G. Kafura3745134.03
Jeremy Ernst471.85
Katherine Cennamo520.40