• Oct 10, 2019

The Baker Learning Analytics Prizes

A field only moves forward if it chooses the right problems: big goals that make a difference. Many–perhaps most–of the adaptive learning systems out there are based on the same technology from the 1990s. Much of the research published today is tiny optimizations on small problems. Incremental progress can be valuable. But it shouldn’t be the primary focus of a field.

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  • Aug 12, 2019

Alelo Webinars for Teachers and Trainers

Do your students need more opportunities to practice speaking English? Is lack of self-confidence holding them back? This webinar introduces Alelo’s Enskill simulation platform and explains how to use Alelo simulations to help your students develop self-confidence and increase fluency.

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  • Apr 26, 2019

Why Online Mastery Learning Platforms Aren’t All They’re Cracked Up to Be

In Educational Technology communities, there is a debate about the best way to structure online learning programs. Should platforms focus on the individual student or the classroom? Should teachers act as a leader of the class, or supplement students’ independent practice?

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  • Apr 07, 2019

A Shared Scientific Infrastructure to do Randomized Controlled Trials and Longitudinal Studies

By Neil Heffernan, Worcester Polytechnic University Shared scientific instruments help address big challenges in research. The Hubble Space Telescope has helped hundreds of astronomers do studies that none of them could have done if they had to also build the instrument they use. Physicists benefit from shared particle accelerators that are expensive to build and…

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  • Feb 25, 2019

From AI-Enabled CSCL in the Classroom Towards Team Based Learning in the Workplace

What does the field of CSCL (computer-supported collaborative learning) have to say to the problem that the World Economic Forum estimates that up to 5 million jobs may be lost to disruptive labor changes by 2020? We suggest an answer that is designed to enable embedding collaborative learning opportunities within project work.

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  • Feb 18, 2019

Improving Comprehension Strategies of Struggling Adult Readers through Conversational Trialogues with AutoTutor

For many millennia, adult learning has primarily consisted of interactions with human mentors, tutors, teachers, and peers. During the last 25 years, these communicative actions and interactions have been simulated by computer agents in learning environments that have often shown significant learning gains.

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  • Feb 12, 2019

Human Intelligence (HI) as the Focus of Attention

The rapid progress of Machine Learning AI that has been built in our human image brings into stark relief the need for us to re-conceptualise Human Intelligence (HI) for an AI augmented world. We have built smart machines in our own intelligent image and these machines can now complete some of the intelligent activities that have traditionally been valued in our education systems, such as passing exams through memorizing and applying knowledge.

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  • Oct 12, 2018

Beyond Academics: Intelligent Mentoring Systems for Career Success

One of the ultimate goals of education is to effectively prepare students for long-term career and workforce success. Most existing intelligent systems in education focus on tutoring for specific academic subjects and deliver personalized learning on a relatively short timescale. As we face an ever-changing 21st century job market due to increased automation and AI technologies, it is more important and challenging than ever to deliver learning and mentorship that leads to long-term success in the workforce. In my webinar, I discuss some of the unique challenges presented by this goal as well as promising approaches that can address the challenges and move us closer to building effective, workforce-driven intelligent mentoring systems.

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  • Sep 19, 2018

Can AI help us create more inclusive education and society?

Artificial Intelligence (AI) gets quite a lot of bad press. It is understood by few and feared by many. It is overhyped through media, sci-fi movies and eye-watering financial investments by the tech giants (LINK), and increasingly – governments. As such AI does not yet sit comfortably with many who care about human development and wellbeing, or social justice and prosperity.

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  • Jul 10, 2018

Back to the Future of Pedagogical Agents

The recent paper “Pedagogical Agents: Back to the Future” by Dr. Lewis Johnson of Alelo Inc. and Professor James Lester of North Carolina State University reviews the history and likely future of pedagogical agents, which are autonomous, interactive computer-based characters that engage in rich, face-to-face interactions with learners.

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