Carrie Demmans Epp

University of Alberta

Assistant professor in the Department of Computing Science
 

Carrie Demmans Epp is an Assistant Professor in the Department of Computing Science at the University of Alberta. She joined the University of Alberta, where she teaches courses on human-computer interaction and the use of artificial intelligence in educational applications, after completing her postdoctoral research at the Learning Research and Development Center of the University of Pittsburgh. Before moving to Pittsburgh, Carrie held Weston and Walter C. Sumner Memorial Fellowships. She was also a visiting researcher with the Open Learner Models at Birmingham group (UK) and the Graduate School of Language, Communication, and Culture at Kwansei Gakuin University in Japan. She earned her PhD from the University of Toronto, where she developed an adaptive mobile-assisted language-learning tool and explored its use. While earning her MSc at the University of Saskatchewan, Carrie integrated her undergraduate studies in Russian and Computer Science by building an adaptive pronunciation tutor that supported student motivation.

Carrie’s work focuses on the development and study of adaptive educational technologies and the mechanisms that are used to provide feedback to learners within these environments. Her work integrates human-computer interaction, artificial intelligence, psychology, psychometrics, and education to support a variety of populations that include university students, underprivileged children, students in special education settings, and language learners.

http://www.cdemmansepp.com/

 

Speakers Session:

Predicting and Informing Learning through Analytics

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Guiding Questions

As a result of participating in this pre conference, you will have the opportunity to address these learning outcomes through these guiding questions:

  1. How can artificial intelligence be leveraged to build effective relationships and advance practice and enhance and extend access to learning for all students?
  2. How can system education leaders ensure policies provide an ethical  frame for potential uses in ways that support inclusion, equity, decolonization and optimum learning?
  3. What risks, barriers and biases must system education leaders mitigate?
    • What are the ethical considerations related to AI in teaching and learning?
  4. How can system education leaders use AI to inform decision-making, realize efficiencies and improve operations? ( e.g., business administration, strategic/education planning).

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Learning Outcomes

As a result of participating in this pre conference, you will have the opportunity to create the conditions for “optimum learning for all” through the following themes: (The following content was generated with the assistance of an AI language model, ChatPGP 3.5).

  • Fundamental Questions
    • Uncover the fundamental questions surrounding AI's influence on education and participate in discussions led by experts and system leaders.
  • Potential Benefits and Challenges
    • Gain insights into the potential benefits of AI in education while addressing the inherent challenges it brings.
  • Policy and Practice
    • Explore the implications of AI for policy and practice, paving the way for informed decision-making at various levels.

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