• 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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  • Mar 06, 2019

What the USA Rugby Sevens Champions Can Teach Us about Soft Skills

In a recent interview with the Guardian the USA Rugby Sevens head coach, Mike Friday, talked about the training program that they implemented to achieve this success. A key focus has been on developing the players’ communication skills. I found this intriguing. How could soft skills such as communication be important for a tough game like rugby?

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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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  • Sep 04, 2018

Data-Driven Development (D3): Instructional Design for the AI Age

For artificial intelligence (AI) to enter the mainstream of education, instructional designers must have design methodologies that enable them to efficiently create AI-driven learning products. The most commonly used instructional design methodology, ADDIE (analyze, design, develop, implement, and evaluate), does not address the needs of AI-driven learning systems, because it adequately define the role of data in the design process. In fact, none of the instructional design methodologies commonly used today take into account the opportunities and challenges that AI and big data bring to the design process.

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  • Aug 16, 2018

Case Study: Evaluation of Enskill® English at the University of Novi Sad, Serbia

Alelo, in collaboration with the Faculty of Technical Sciences of the University of Novi Sad, Serbia, conducted an evaluation of Alelo Enskill® English with students in the University’s English for information technology purposes (EIT) program. This was the first major test of the new version of Alelo’s AI-driven Enskill platform, which utilizes statistical natural language processing and machine learning to engage in realistic spoken dialogues with English language learners.

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