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Moise Busogi received his bachelor’s degree in industrial and system engineering, with a minor in management science, in 2011 from Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea. He received his Ph.D. in system design and control engineering at Ulsan Institute of Science and Technology (UNIST), Republic of Korea in 2017. His Ph.D. focused on modeling and simulation of human-centered complex systems with a direct application to mixed-model assembly lines. During his doctorate, he worked with General Motors (GM) to assess and mitigate the increasing complexity in mixed-model assembly lines while maintaining the flexibility the assembly. He also worked on a number of industrial and government projects including the development of machine learning-based automated quality monitoring system for automotive door trim process. After his graduation, he joined the Center for 3D Advanced Additive Manufacturing where he worked a research associate for two years prior to joining CMU Africa. His research interest include operation research, machine learning, and agent based modeling and simulation.

Paulo Carvalho is Systems Scientist in the Human-Computer Interaction Institute. His research uses the tools of cognitive science (experimentation, computational modeling, and big data analytics) to understand how we acquire new knowledge and how we can improve student learning and outcomes through interventions and technology.

KENNETH R. KOEDINGER is a professor of Human Computer Interaction and Psychology at Carnegie Mellon University. Dr. Koedinger has an M.S. in Computer Science, a Ph.D. in Cognitive Psychology, and experience teaching in an urban high school. His multidisciplinary background supports his research goals of understanding human learning and creating educational technologies that increase student achievement. His research has contributed new principles and techniques for the design of educational software and has produced basic cognitive science research results on the nature of student thinking and learning. Koedinger directs LearnLab, which started with 10 years of National Science Foundation funding and is now the scientific arm of CMU’s Simon Initiative. LearnLab builds on the past success of Cognitive Tutors, an approach to online personalized tutoring that is in use in thousands of schools and has been repeatedly demonstrated to increase student achievement, for example, doubling what algebra students learn in a school year. He was a co-founder of CarnegieLearning, Inc. that has brought Cognitive Tutor based courses to millions of students since it was formed in 1998, and leads LearnLab, now the scientific arm of CMU’s Simon Initiative. Dr. Koedinger has authored over 250 peer-reviewed publications and has been a project investigator on over 45 grants. In 2017, he received the Hillman Professorship of Computer Science and in 2018, he was recognized as a fellow of Cognitive Science.

Marti Louw is faculty in the Human-Computer Interaction Institute at Carnegie Mellon University where she directs the Learning Media Design Center. She also serves as the Assistant Dean of Curriculum for the Integrative Design Arts & Technology (IDeATe) network, teaches in the Masters of Educational Technology and Applied Learning Sciences (METALS) and undergraduate IDeATe Design for Learning minor programs. As a design-based researcher, she focuses on how design as a creative problem-solving form of systematic inquiry can be used to collaboratively envision and create technology-enhanced learning environments that are socially co-constructed, personally relevant, and emancipatory. Current research areas include: scaffolding disciplinary forms of observation, identification and reflection in citizen science, museum and informal learning contexts.

Edith Luhanga joined CMU-Africa as a postdoctoral researcher in June 2021 and transitioned to assistant research professor in September 2022. Prior to that, she was a lecturer at the Nelson Mandela African Institution of Science and Technology in Tanzania (NM-AIST). She holds a Ph.D. in information science from Nara Institute of Science and Technology in Japan, an MSc in advanced computing science, and a BEng (Hons) in electronic and computer engineering from the University of Nottingham, UK.

Luhanga’s research focuses on designing theory-based behavior change systems that consider people’s personal and socio-cultural contexts, through a human-centered approach. Her main domains of interest are health (particularly nutrition, maternal and child health, and disabilities management), financial inclusion, and privacy and security.

Prof. Bruce M. McLaren is an Associate Research Professor at Carnegie Mellon University, current Secretary and Treasurer and past President of the International Artificial Intelligence in Education Society (2017-2019). McLaren is passionate about how technology can support education and has dedicated his work and research to projects that explore how students can learn with educational games, intelligent tutoring systems, e-learning principles, and collaborative learning. In addition to his research background, Prof. McLaren has over 20 years experience in the commercial sector, applying research ideas to practical problems using Artificial Intelligence techniques. As Director of eCommerce Technologies at OpenWebs Corporation from 2000 to 2002, he led a group of engineers in the development of an intelligent inter-company (B2B) trading product. He was also the leader of many expert system projects during over 10 years working for Carnegie Group, Inc.

I am an educational technologist focusing on ways to make learning experiences more engaging, effective, and enjoyable. My training spans many disciplines, with undergraduate degrees in Computer Science and Spanish, and a Ph.D. in Human-Computer Interaction supported by a fellowship from the Institute of Education Sciences (IES). I have been named a Rising Star in EECS by MIT, a World Economic Forum Young Scientist, received the McCandless Chair and the Thomas and Lydia Moran Professorship in Learning Science, and been awarded the Jacobs Early Career Fellowship to study the use of educational technologies in emerging economies.