1. LearnSphere: A community data infrastructure
to support learning improvement online
● Led by Carnegie Mellon
University (CMU) and bringing
together multiple top players in
learning analytics
Massachusetts
Institute of
Technology
Stanford
CMU
Workflow
Analysis
Tool
Optimal Learning Lab
Institute for Intelligent Systems and Psychology Department
University of Memphis - Dr. Philip Pavlik Jr
➔ Current opportunities available for the 2017 graduate admission year
➔ Seeking motivated students with an interest in theoretically based
based work on educational applications
➔ Full funding available for qualified students pursuing cognitive
psychology PhD work
➔ Email ppavlik@memphis.edu with specific questions
➔ In addition to conducting experiments on a variety of learning
phenomenon we have 2 main software projects described here
➔ New ideas are welcome if they fit within the overall lab goals for
doing good science to help students
➔ Checkout http://optimallearning.org
Providing:
● Data storage
● Data sharing
● Data
management
● Data analysis
● Data
visualization
● NSF funded
until 12/19

2. Mobile Fact and Concept Training System
(MoFaCTS)
● is an advanced adaptive practice and learning experimentation
system that helps students learn information such as facts or
concepts with multimedia drill practice
● is a browser-based web-application, with source code available
https://bitbucket.org/ppavlik/mofacts.
● is now available with multiple sample content modules.
● uses a quantitative model of your performance to select an item to
learn that will optimally balance the challenge relative to your
current ability.
● tracks both prior performance (i.e. past successes and failures) and
memory factors, such as recency, frequency, spacing and
forgetting and saves all of your results to track your learning over
multiple sessions.
● was designed by Dr. Philip Pavlik, and many other important
collaborators who have been his co-authors, listed here
https://www.researchgate.net/profile/Phil_Pavlik_Jr/publications
and was implemented by a series of talented programmers.
● exports data to a convenient format for sharing or analysis
https://datashop.memphis.edu/.
● was developed over multiple years with funding from the IES:
DOED, NSF, and R. Zdrojkowski.
● is explained in this paper
https://mofacts.optimallearning.org/ITS2016final.pdf presented at
the 2016 Intelligent Tutoring Systems Conference.