Research Areas

Educational Technologies

As technologies advance, so does education. In addition to learning and teaching new technologies, we can also use technology to better understand how people learn. Research on educational technologies explores how technologies can not only better understand how people learn, but also how to help people learn as well as the role of technology in learning and evaluating learning. 

Research Highlights

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Dr. Peter Brusilovsky receives NSF grant to develop a learning system for computer science education

Dr. Peter Brusilovsky received a National Science Foundation (NSF) grant for his project "C-3PE: Comprehensive Personalized Programming Practice Environment." C-3PE will be a personalized learning system to help students in introductory programming classes master Java and Python skills. 

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Uses of Generative AI in the Assessment of Learning Explored in Jan. 19 Panel

How can students and instructors use generative artificial intelligence (AI) to create and assess content for writing assignments? This salient topic was discussed in “Generative AI and Teaching: Uses in Assessment of Learning,” a panel hosted by The Sara Fine Institute and the Research, Ethics, and Society Initiative on Jan. 19.

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Dr. Dmitriy Babichenko receives funding for STEM Through Games project

Dr. Dmitriy Babichenko received Pitt Seed funding for his project STEM Through Games as part of the program's 2023-24 cohort. This project will develop and then pilot an immersive media design and research program for high school students.

Affiliated Faculty
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Peter Brusilovsky, Professor

Dr. Brusilovsky's research interests include Social Web, user modeling, adaptive information systems, intelligent tutoring systems, e-learning, and human-computer interaction.

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Raquel Coelho, Assistant Professor

Dr. Coelho's research - grounded in learning sciences principles and human-centered frameworks - is focused on theorizing about, supporting learning with, and learning about emerging technologies.

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Paul Cohen, Professor

Dr. Cohen's research is in aspects of artificial intelligence and cognitive science, with an interest in language, communication, and AI methods to help us understand very complicated systems.

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Nadine von Frankenberg, Teaching Assistant Professor

Dr. von Frankenberg's research interests include ubiquitous computing, smart buildings, IEQ, human-in-the-loop control, digital health, and educational research.

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Aakash Gautam, Assistant Professor

Dr. Gautam's research lies at the intersection of human-computer interaction, learning sciences, and community development. 

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Timothy Hoffman, Teaching Assistant Professor

Dr. Hoffman graduated from Pitt in 1991 with a Master of Science in Telecommunications and taught at nearby Carnegie Mellon University from 1999 to 2011 before returning to Pitt to teach.

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Alexandros Labrinidis, Professor

Dr. Labrinidis' research focuses on user-centric data management for scalable network-centric applications, including web-databases, data stream management systems, sensor networks, and scientific data management (with an emphasis on big data).

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Diane Litman, Professor

Dr. Litman’s current research focuses on enhancing the effectiveness of educational technology through the use of spoken and natural language processing techniques such as argument mining, summarization, and dialogue systems.

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Daniel Mosse, Professor

Dr. Mosse's main research interest is in the allocation of resources (computing and network resources) in the realm of real-time, with main concerns being power management, security, and fault tolerance. 

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Angela Stewart, Assistant Professor

Dr. Stewart conducts research at the intersection of the learning sciences, artificial intelligence, and human-computer interaction. She uses multimodal data to understand students' social and cognitive states, particularly in collaborative STEM learning.