Elle Wang

Lead Research Scientist at National AI Institute for Adult Learning and Online Education

San Francisco, California, United States of America

Research Expertise

Online learning

Intelligent technologies

Learning Analytics

MOOCs

Education

Computer Science Applications

Communication

Molecular Biology

Biochemistry

Organizational Behavior and Human Resource Management

Strategy and Management

About

Ellen (Elle) Wang is a cognitive scientist with a focus on educational applications of artificial intelligence (AI). She is currently a lead research scientist at the National AI Institute for Adult Learning and Online Education and a staff research scientist at the Action Lab at Arizona State University. Wang received her PhD in Cognitive Science in Education from Columbia University in 2017. Her research focuses on how AI can be used to support and improve learning outcomes, with a particular focus on online and adult learners. She has developed and evaluated AI-based programs and systems for a variety of applications, including tutoring, intelligent course recommendation, and assessment. Wang’s work has been published in a variety of prestigious journals, including the Journal of Educational Psychology, the British Journal of Educational Technology, and the Journal of Experimental Psychology: Applied. She has also presented her work at numerous international conferences, including the Association for the Advancement of Artificial Intelligence (AAAI) and the International Conference on Intelligent Tutoring Systems (ITS).

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Publications

Grit and Intention: Why Do Learners Complete MOOCs?

The International Review of Research in Open and Distributed Learning

2018

EDUCATIONAL DATA MINING

Data Mining and Learning Analytics

2016

Longitudinal engagement, performance, and social connectivity

Proceedings of the Sixth International Conference on Learning Analytics & Knowledge - LAK '16

2016

A conceptual peer review model for arXiv and other preprint databases

Learned Publishing

2019

The Beginning of a Beautiful Friendship? Intelligent Tutoring Systems and MOOCs

Lecture Notes in Computer Science

2015

A Longitudinal Study on Learner Career Advancement in MOOCs

Journal of Learning Analytics

2014

Negativity in Massive Online Open Courses: Impacts on Learning and Teaching and How Instructional Teams May Be Able to Address It

InSight: A Journal of Scholarly Teaching

2015

The Evolution and Impact of Anonymous Preference in Online Communities

Academy of Management Proceedings

2015

A Statistical Learning Theory Framework for Supervised Pattern Discovery

Proceedings of the 2014 SIAM International Conference on Data Mining

2014

Towards adapting to learners at scale

Proceedings of the Fifth Annual ACM Conference on Learning at Scale

2018

Workshop on integrated learning analytics of MOOC post-course development

Proceedings of the Seventh International Learning Analytics & Knowledge Conference

2017

Automated Identification of Verbally Abusive Behaviors in Online Discussions

Proceedings of the Third Workshop on Abusive Language Online

2019

Commentary: Massive open online courses

Biochemistry and Molecular Biology Education

2013

Editorial: Beyond Cognitive Ability

Journal of Learning Analytics

2020

K-MOOC(Korea Massive Open Online Course) learner motivation: Initial motivation for enrollment and continuing motivation for completion

Korean Association For Learner-Centered Curriculum And Instruction

2017

Bringing Non-programmer Authoring of Intelligent Tutors to MOOCs

Proceedings of the Third (2016) ACM Conference on Learning @ Scale

2016

Motivating Students to Ask More Questions

Lecture Notes in Computer Science

2019

Open Scale Courses: Exploring Access and Opportunity for Less-Educated Learners

2018 Learning With MOOCS (LWMOOCS)

2018

Mapping the Landscape of Social and Emotional Learning Analytics

Social and Emotional Learning and Complex Skills Assessment

2022

Re-contextualizing Inclusiveness & SEL in Learning Analytics

Social and Emotional Learning and Complex Skills Assessment

2022

What more do we need to know about the learning organization?

The Learning Organization

2007

The reasons behind Motorola’s success in China

Strategic Direction

2003

Do Massive Open Online Course Platforms Support Employability?

Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing

2016

Measuring learned skill behaviors post-MOOC

CHI '14 Extended Abstracts on Human Factors in Computing Systems

2014

Education

Columbia University

PhD, Cognitive Science in Education / 2017

New York, New York, United States of America

Experience

National AI Institute for Adult Learning and Online Education

Lead Research Scientist / 2021 — Present

Develop AI Agents to enable ‘weak-tie’ human-human relationship building in large-scale socio-technical ecosystems. Use social and emotional learning analytics to holistically measure and support effective learning & upskilling at scale

Action Lab at ASU

Staff Research Scientist / 2017 — Present

Lead and conduct core research projects on 1) Assessing Social and Emotional Learning (SEL) at Scale 2) Building prediction models to connect online learning and career advancement 3) Assessing trans-national online learning efficacy

Links & Social Media

Research Web Site

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