Meta-LAD: a dashboard supporting metacognition

Meta-LAD: a dashboard supporting metacognition The project aims to support online learners’ self-regulated learning, performance, and retention by designing a learning analytics dashboard (LAD). The research questions: What are indicators predicting learners’...

Higher Education Leaders Showcase Innovation Strategies

Throughout the pandemic, leaders of higher education have successfully rethought and retooled pedagogy to embrace the blended learning world. During Fierce Education’s “2021 Fierce Leaders in Higher Ed”, higher education leaders, faculty, and technologists discussed...

Integrating Community Teaching in MOOCs – at EMOOCs 2021

Presented by: Eva Ponce, Sindhu Srinath, and Laura Allegue The MITx MicroMasters Program in Supply Chain Management (SCM) is a Massive Open Online Course (MOOC) based program that aims to impart quantitative and qualitative knowledge to SCM enthusiasts all around the...

Covid-Driven Shift to Online Education Fuels Supply Chain MicroMasters Growth

A surge in the number of registrants and verified learners in the MITx MicroMasters® Program in Supply Chain Management attests to the increasing appeal of online education during the Covid-19 pandemic. The numbers also suggest that supply chain management — a subject popularized by the pandemic — is attracting a growing number of virtual learners.

Converting zombies into learners

The project aims at increasing learners’ engagement in massive, open, and online education in Supply Chain Management by applying learning analytics.

Learning & Assessment

In this project we investigate the fundamental trade-off involved with providing an educational platform for both learning and assessment, and propose strategies to ensure academic integrity in a MOOC-based program

A data-driven framework to evaluate design changes in MOOCs

This research aims to develop a data-driven framework to evaluate design changes in MOOCs. We explore a change from multiple angles-process, proficiency, and perception- and apply various analytical methods-temporal, causal and predictive to map out the outcome of instruction along multiple dimensions of learning.