NDLI: Evolution of an Intelligent Deductive Logic Tutor Using Data-Driven Elements

Content Provider	Springer Nature Link
Author	Mostafavi, Behrooz Barnes, Tiffany
Copyright Year	2016
Abstract	Deductive logic is essential to a complete understanding of computer science concepts, and is thus fundamental to computer science education. Intelligent tutoring systems with individualized instruction have been shown to increase learning gains. We seek to improve the way deductive logic is taught in computer science by developing an intelligent, data-driven logic tutor. We have augmented Deep Thought, an existing computer-based logic tutor, by adding data-driven methods, specifically; intelligent problem selection based on the student’s current proficiency, automatically generated on-demand hints, and determination of student problem solving strategies based on clustering previous students. As a result, student tutor completion (the amount of the tutor the students completed) steadily improved as data-driven methods were added to Deep Thought, allowing students to be exposed to more logic concepts. We also gained additional insights into the effects of different course work and teaching methods on tutor effectiveness.
Starting Page	5
Ending Page	36
Page Count	32
File Format	PDF
ISSN	15604292
Journal	International Journal of Artificial Intelligence in Education
Volume Number	27
Issue Number	1
e-ISSN	15604306
Language	English
Publisher	Springer New York
Publisher Date	2016-04-19
Publisher Institution	International AIED Society
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Educational Technology Intelligent tutoring systems User Interfaces and Human Computer Interaction Artificial Intelligence (incl. Robotics) Computers and Education Deductive logic instruction Data-driven methods
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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