Discover here The Founder Spirit's podcast interview with Subra Suresh on the key challenges and opportunities of artificial intelligence and their implications for scaling access to education globally.

Affect detectors can be very effective in detecting whether a student using learning software is bored, unmotivated, or otherwise not engaged.

This case study looks at students who persistently fail in solving problems using cognitive tutors in mathematics. Although the software repeatedly poses endless practice problems, this group of students continues to get them wrong.

The ability to identify students who might soon decide to drop out of a given academic program allows those in charge to not only understand the causes, but it also provides room for the development of early intervention systems to assist such students.

The rapid digital shift to distance teaching in the context of the global pandemic gave new impetus to the discourse in higher education to address digital teaching and learning.

The contributing authors of the Global Learning Report 2022 deliver their messages with an urgency that was lacking in last year’s paper.

The Knowledge Learning Instruction (KLI) Framework is a set of instructional principles that can be generalized across the macro and micro levels of analysis, while explicitly identifying constraints and opportunities for detailed analysis of the knowledge students may acquire in courses.

LearnSphere is a large repository of educational data. It is a global portal for the sharing, storage, and analysis of public and private education datasets.

Called the “most important higher ed story of 2015,” the goal of the UC Davis iAMSTEM team was to improve learner outcomes in large-section introductory STEM courses and improve STEM retention rates, especially among vulnerable student populations.