NDLI: The Future of Adaptive Learning: Does the Crowd Hold the Key?

Content Provider	Springer Nature Link
Author	Xiong, Xiaolu Selent, Douglas Kelly, Kim Heffernan, Neil T. Williams, Joseph Jay Ostrow, Korinn S. Inwegen, Eric G.
Copyright Year	2016
Abstract	Due to substantial scientific and practical progress, learning technologies can effectively adapt to the characteristics and needs of students. This article considers how learning technologies can adapt over time by crowdsourcing contributions from teachers and students – explanations, feedback, and other pedagogical interactions. Considering the context of ASSISTments, an online learning platform, we explain how interactive mathematics exercises can provide the workflow necessary for eliciting feedback contributions and evaluating those contributions, by simply tapping into the everyday system usage of teachers and students. We discuss a series of randomized controlled experiments that are currently running within ASSISTments, with the goal of establishing proof of concept that students and teachers can serve as valuable resources for the perpetual improvement of adaptive learning technologies. We also consider how teachers and students can be motivated to provide such contributions, and discuss the plans surrounding PeerASSIST, an infrastructure that will help ASSISTments to harness the power of the crowd. Algorithms from machine learning (i.e., multi-armed bandits) will ideally provide a mechanism for managerial control, allowing for the automatic evaluation of contributions and the personalized provision of the highest quality content. In many ways, the next 25 years of adaptive learning technologies will be driven by the crowd, and this article serves as the road map that ASSISTments has chosen to follow.
Starting Page	615
Ending Page	644
Page Count	30
File Format	PDF
ISSN	15604292
Journal	International Journal of Artificial Intelligence in Education
Volume Number	26
Issue Number	2
e-ISSN	15604306
Language	English
Publisher	Springer New York
Publisher Date	2016-02-02
Publisher Institution	International AIED Society
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Crowdsourcing Feedback Educational Technology User Interfaces and Human Computer Interaction Artificial Intelligence (incl. Robotics) Learnersourcing Learning gains Adaptive learning technologies Computers and Education Online learning platform ASSISTments
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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