Contact
Assistant Professor, Faculty of Science - Computing Science
- demmanse@ualberta.ca
Overview
Research
I am interested in the use of technology for supporting learning and assessment. I have done this through the development, deployment, and study of educational technologies for language learning and other domains. A large portion of this work has involved the development and visualization of models and analytics. These models and analytics are then used to support the decision making of computational agents and users.
To build these systems, I have employed techniques from the areas of software engineering, human-computer interaction, artificial intelligence, and psychology. I have also exploited ubiquitous computing technologies to support the learning opportunities that are present in the learner’s non-academic environment.
Lab - EdTeKLA Research Group
The Educational Technology, Knowledge, Language, and Learning Analytics (EdTeKLA) Research Group creates technologies to support people's learning and then uses those technologies to study how people learn. We develop
- experimental technologies to support learning,
- language-learning technologies,
- adaptive learning technologies,
- learning analytics, and
- ways of communicating information about learning.
We then use those technologies to understand how people learn so that we can make better technologies that enable people to get the support that they need.
Teaching
At the undergraduate level, I teach human-computer interaction (CMPUT 302).
At the graduate level, I teach adaptive educational technologies (CMPUT 664).
I also co-teach introduction to natural language processing with Greg Kondrak and Denilson Barbosa (CMPUT497/501)
Courses
CMPUT 272 - Formal Systems and Logic in Computing Science
An introduction to the tools of set theory, logic, and induction, and their use in the practice of reasoning about algorithms and programs. Basic set theory; the notion of a function; counting; propositional and predicate logic and their proof systems; inductive definitions and proofs by induction; program specification and correctness. Prerequisites: CMPUT 101, 174, 175, 274, or SCI 100.
CMPUT 399 - Topics in Computing Science
This topics course is designed for a one on one individual study course between a student and an instructor. Prerequisites are determined by the instructor in the course outline. See Note (3) above.
CMPUT 499 - Topics in Computing Science
This topics course is designed for a one on one individual study course between a student and an instructor. Prerequisites are determined by the instructor in the course outline. See Note (3) above.
CMPUT 605 - Topics in Computing Science
CMPUT 701 - Essay in Computing Science I
A major essay on an agreed topic.