Team-Based Learning Software for TBL Educators, by TBL educators
InteDashboard was conceived by a passionate team of Team-Based Learning educators at Duke-NUS Medical School with the mission of enabling more learners to benefit from Team-Based Learning using technology, in higher education, workforce training and schools.
Digital Team-Based Learning
If you are a professor or an institute, conduct face-to-face, virtual or hybrid classes, and teach using Team-Based Learning, InteDashboard is for you.
Save Faculty Time
Replace scratch cards and paper with digital IRAT, TRAT, Applications and Peer Evaluation
Improve Outcomes with Data
Identify and address trouble spots quickly with real-time data
Ensure Consistent TBL Experience
Streamline TBL process across classes and campuses, physical and online classrooms
Integrate with Existing Systems
Connect with existing learning management systems (LMS) for seamless experience
Our Customer Satisfaction Rates
Faculty satisfaction rate
(2018 TBLC Conference)
Student Satisfaction Rate
(2018 TBLC Conference)
Improved Learning Outcomes
(2017 TBLC Conference)
Experience all-in-one TBL with InteDashboard
Before Class
During Class
After Class
Prework
Upload readings, class slides, audio and video files for students to access before class.
IRAT
Run an Individual Readiness Assurance Test digitally to measure students' understanding of prework.
TRAT
Run Team Readiness Assurance Test digitally that allows teams to collectively work on the same questions as in IRAT and receive immediate feedback.
Applications
Allow students to solve real-world application cases, in teams or individually. Students can also upload images, videos, or files as a part of the answers.
Peer Evaluation
Allow students to anonymously evaluate their teammates’ performance, themselves, overall team dynamics and the instructor.
Confidence-Based Testing
Simultaneously test confidence and accuracy with point spreading techniques.
Clarifications
Allow teams to submit clarification requests electronically during and after the TRAT.
e-Gallery Walk
Allow teams to vote and comment on other teams’ application case responses and identify different perspectives.
Automated Grading
Allows faculty to auto-grade individual and team assessments and readily access data for performance analysis.
Before Class
Prework
Allow teams to vote and comment on other teams’ application case responses and identify different perspectives.
During Class
IRAT
Run an Individual Readiness Assurance Test digitally to measure students' understanding of prework.
Confidence-Based Testing
Simultaneously test confidence and accuracy with point spreading techniques.
During Class
TRAT
Run Team Readiness Assurance Test digitally that allows teams to collectively work on the same questions as in IRAT and receive immediate feedback.
Clarifications
Allow teams to submit clarification requests electronically during and after the TRAT.
During Class
Applications
Allow students to solve real-world application cases, in teams or individually. Students can also upload images, videos, or files as a part of the answers.
e-Gallery Walk
Allow teams to vote and comment on other teams’ application case responses and identify different perspectives.
Automated Grading
Allows faculty to auto-grade individual and team assessments and readily access data for performance analysis.
After Class
Peer Evaluation
Allow students to anonymously evaluate their teammates’ performance, themselves, overall team dynamics and the instructor.
Who We Help
If you are a professor or an institution who conducts in-person, virtual or hybrid classes with Team-Based Learning, InteDashboard is for You
Individual Professor
If you are teaching your class with TBL or want to switch to TBL, we can help you get started right away!
Institutions
If you want InteDashboard for your entire institution, we have programs to support and meet all your needs, including faculty training!
Online Education
If you conduct online TBL classes, we can help you deliver online TBL classes synchronously & asynchronously
Institutions That Love Us
