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Information and Intelligent Engineering Lab
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A lab exploring mechanisms that support learning, based on learning data.

AboutAbout the lab
Research on information technology that supports learning
Assistant Professor Boxuan Ma studies educational data mining, learning analytics, and related topics.
Human-computer interaction and recommender systems are also listed among the research fields.
The papers cover course recommendation, language learning diagnosis, and the use of ChatGPT in programming education.
In the School of Interdisciplinary Science and Innovation, Assistant Professor Ma teaches the approach courses "Real Data Analysis Techniques 1" and "Real Data Analysis Techniques 2."
Key terms
- Learning analytics
- An approach of collecting and analyzing learning records and using them to improve how people learn and teach
- Recommender system
- A mechanism that selects and suggests courses, products, and other items likely to suit the user
- Knowledge graph
- A data format that represents things and their relationships by connecting points and lines
ResearchResearch themes
The research themes listed include learning support systems, language learning support, knowledge tracing, recommender systems, learning diagnosis, user interfaces, and learning analytics. The lab explores mechanisms that analyze learning records to support learning and course selection.
*Illustrative imageCourse recommendation to help choose classes
The lab collaborates on research into course recommendation mechanisms that help students choose university classes. It proposes a model that links student and course information in a knowledge graph and can also show the reasons for its recommendations.
*Illustrative imageDiagnosing mastery in language learning
The lab studies a framework for diagnosing learners' mastery of language knowledge in language learning apps. It proposes a way to define knowledge and skills using the linguistic features of words.
*Illustrative imageChatGPT in programming classes
There is a case study that examined how ChatGPT affects learning in a Python class for first-year university students. It analyzes student surveys and records of students' conversations with ChatGPT.
*Illustrative imageAnalyzing re-reading in e-books
The lab analyzes how students go back and re-read slides, using operation logs from e-books used in class. It organizes reading patterns that can explain why students re-read.
MembersFaculty
- Assistant ProfessorBoxuan Ma
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Learning-management-system.schon” Sandra Schon / CC BY 2.0 (cropped)
- Course recommendation to help choose classes: “Mathematics lecture at the Helsinki University of Technology” Tungsten / Public domain (cropped)
- Diagnosing mastery in language learning: “Second Language Acquisition Books” ParentingPatch / CC BY-SA 3.0 (cropped)
- ChatGPT in programming classes: “Codes, Bukit, Bali, Indonesia” Vyacheslav Argenberg / CC BY 4.0 (cropped)
- Analyzing re-reading in e-books: “Amazon Kindle Paperwhite 5 Eleventh Generation (C2V2L3) 6-inch e-reader. Font Bookerly, size 9” WrS.tm.pl / Public domain (cropped)
- Related lab (Informatics Lab): “Spire 24h AIS Archive over Gulf of Oman” Quentin Gollier / CC BY-SA 4.0 (cropped)
- Related lab (Haptic Informatics Lab): “Braille closeup” Lrcg2012 / CC BY-SA 3.0 (cropped)
- Related lab (Resources Processing Engineering (Gde Pandhe Wisnu Suyantara) Lab): “Flotation cell” Dhatfield / CC BY-SA 3.0 (cropped)
- Related lab (Health and Medical Informatics Lab): “Heart rate monitor” Vi..Cult... / CC BY-SA 3.0 (cropped)
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