NDLI: A Measurement Model of Microgenetic Transfer for Improving Instructional Outcomes

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A Measurement Model of Microgenetic Transfer for Improving Instructional Outcomes

Content Provider	Springer Nature Link
Author	Yudelson, Michael Koedinger, Kenneth R. Pavlik, Philip I.
Copyright Year	2015
Abstract	Efforts to improve instructional task design often make reference to the mental structures, such as “schemas” (e.g., Gick & Holyoak, 1983) or “identical elements” (Thorndike & Woodworth, 1901), that are common to both the instructional and target tasks. This component based (e.g., Singley & Anderson, 1989) approach has been employed in psychometrics (Tatsuoka, 1983), cognitive science (Koedinger & MacLaren, 2002), and most recently in educational data mining (Cen, Koedinger, & Junker, 2006). A typical assumption of these theory based models is that an itemization of “knowledge components” shared between tasks is sufficient to predict transfer between these tasks. In this paper we step back from these more cognitive theory based models of transfer and suggest a psychometric measurement model that removes most cognitive assumptions, thus allowing us to understand the data without the bias of a theory of transfer or domain knowledge. The goal of this work is to help provide a methodology that allows researchers to analyse complex data without the theoretical assumptions clearly part of other methods. Our experimentally controlled examples illustrate the non-intuitive nature of some transfer situations which motivates the necessity of the unbiased analysis that our model provides. We explain how to use this Contextual Performance Factors Analysis (CPFA) model to measure learning progress of related skills at a fine granularity. This CPFA analysis then allows us to answer questions regarding the best order of practice for related skills and the appropriate amount of repetition depending on whether students are succeeding or failing with each individual practice problem. We conclude by describing how the model allows us to test theories, in which we discuss how well two different cognitive theories agree with the qualitative results of the model.
Starting Page	346
Ending Page	379
Page Count	34
File Format	PDF
ISSN	15604292
Journal	International Journal of Artificial Intelligence in Education
Volume Number	25
Issue Number	3
e-ISSN	15604306
Language	English
Publisher	Springer New York
Publisher Date	2015-03-14
Publisher Institution	International AIED Society
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Student modelling Educational Technology Pedagogical strategy User Interfaces and Human Computer Interaction Artificial Intelligence (incl. Robotics) Computers and Education Human learning Transfer of learning
Content Type	Text
Resource Type	Article
Subject	Education Computational Theory and Mathematics E-learning

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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