The Learner Data Institute

Harnessing The Data Revolution To Make The Learning Ecosystem More Effective, Engaging, Equitable, Efficient, Relevant, and Affordable

Lead Principal Investigator: Dr. Vasile Rus (vrus@memphis.edu)

The Learner Data Institute (LDI) is funded by the National Science Foundation (Award #1934745).


Overview of The Learner Data Institute

The paper below provides an overview of The Learner Data Institute.

Rus, V., Fancsali, S.E., Bowman, D., Pavlik Jr., P., Ritter, S., Venugopal, D., Morrison, D., and The LDI Team. (2020). The Learner Data Institute: Mission, Framework, & Activities. In V. Rus & S.E. Fancsali (Eds.) Proceedings of The First Workshop of the Learner Data Institute - Big Data, Research Challenges, & Science Convergence in Educational Data Science, The 13th International Conference on Educational Data Mining (EDM 2020), July 10-13, Ifrane, Morroco (held online). [PDF] [use this paper to cite The Learner Data Institute]

An additional paper about LDI is the update provided at the 2nd Learner Data Institute Workshop at EDM 2021:

Rus, V., Fancsali, S.E., Venugopal, D., Pavlik Jr., P., Graesser, A.C., Bowman, D., Ritter, and The LDI Team. (2021). The Learner Data Institute - Conceptualization: A Progress Report, Proceedings of The Second Workshop of the Learner Data Institute , The 14th International Conference on Educational Data Mining (EDM 2021), June 29 - July 2 , Paris, France (held online). [PDF]

Upcoming Events

  • Robert Sottilare will talk about his project on the Investigation of AI Methods to Support Accurate Root Cause Analysis of Learner States on August 4, 2021 at 1 PM CST. Join us on Zoom.

Recent Events & News

  • Leigh Harrell Williams and Christian Mueller talk about "M2P2 - Mathematics Motivation Profile Project" at the LDI All Team meeting, 07/28/2021 at 1 PM CST. Join us on Zoom or catch it later on Slack.

  • Autoencoders for Assessment presentation by PhD student Mahbubul Hasan (advisor: Dale Bowman) from 07/21/2021) can now be seen on Slack.

  • July 13, 2021: PhD student, Zeyad Alshaikh (advisor: Dr. Vasile Rus) successfully defended his dissertation entitled: Expert-generated and Auto-generated Socratic Tutors for Code Comprehension.

  • Xiangen Hu talked about his concrete task at 1 PM CST on July 7, 2021. "Systematically Evaluate Adaptive Instruction Systems (AIS)". Catch a repeat on Slack.

  • June 29, 2021: Second (Virtual) Workshop of the Learner Data Institute at the Fourteenth International Conference on Educational Data Mining! Dr. Ryan S. Baker delivered a keynote talk at the workshop. Dr. Baker is an Associate Professor in the Graduate School of Education at the University of Pennsylvania and the Director of the Penn Center for Learning Analytics.

  • June 2021: Dr. Laura Casey, Professor in the Department of Instruction and Curriculum Leadership, was awarded $1,622,400 and $1,111,500, respectively, from the Tennessee Department of Intellectual and Developmental Diabetes with the U.S. Department of Health and Human Services for her projects “UofM Home/Community Based Early Intervention (HCBEI) Services” and “UofM CBEI Services.”

  • June 2021: Dr. John Sabatini, Distinguished Research Professor in the Department of Psychology and the Institute for Intelligent Systems, was awarded $46,602 from the Education Testing Service with the U.S. Department of Education for his project “Exploring and Assessing the Development of Students' Argumentation Skills.”

  • May 26, 2021: Dr. Vasile Rus presents a paper entitled: "Recommendations for GIFT from The Learner Data Institute," at GIFT SYM 9 on the LDI.

  • April 1-2, 2021: The Learner Data Institute (LDI) Spring 2021 Meeting will take place virtually on Zoom!

    • Our keynote speaker on Day 2 is Dr. Justin Reich (Assistant Professor Of Comparative Media Studies/Writing & Executive Director Of Teaching Systems Lab, MIT). His recent book is Failure to Disrupt: Why Technology Alone Can't Transform Education. Learn more at failuretodisrupt.com.

  • December 1, 2020: Congratulations to Dr. Laura Casey, who was awarded over $1.1 million from the Tennessee Department of Education for her project “TEIS Home and Community Developmental therapy” as well as over $1.6 million for three years for "TEIS Centered Based Developmental Therapy".

  • October 1, 2020: Congratulations to Dr. Steve Ritter, who is Co-PI on a new, three-year NSF funded grant on "Exploring Algorithmic Fairness and Potential Bias in K-12 Mathematics Adaptive Learning" (NSF Award #2000638). Read more about the grant here.

  • October 1, 2020: Congratulations to Learner Data Institute (LDI) Co-PI Deepak Venugopal and PI Vasile Rus on the kick-off of their three-year NSF funded grant on "Investigating techniques that couple Markov Logic and Deep Learning with applications to discovering strategies to improve STEM learning" (NSF Award #2008812; PI Venugopal, Co-PI Rus). Read more about the grant here.

  • September 1, 2020: Congratulations to John Sabatini, Art Graesser, and their collaborators on the start of their project “Developing and Implementing a Technology-Based Reading Comprehension Instruction System for Adult Literacy Students" funded by the U.S. Department of Education, Institute for Education Sciences (IES Award #R305A200413; PI Sabatini, Co-PI Graesser). Read more about the four year project here.


MISSION

The Learner Data Institute’s mission is to harness the data revolution to further our understanding of how people learn, how to improve adaptive instructional systems (AISs), and how to make emerging learning ecosystems that include online and blended learning with AISs more effective, efficient, engaging, relevant, and affordable.

An Academia-Industry-Government Collaboration

Contact

Lead Principal Investigator: Dr. Vasile Rus (vrus@memphis.edu)

Project Coordinator: Jody Cockroft (jlcckrft@memphis.edu)