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Information and Intelligent Engineering (Boxuan Ma) Lab
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A lab that explores mechanisms for supporting learning using learning data.
AboutAbout the lab
Designing learning support from learning data.
Assistant Professor Boxuan Ma's research areas are educational data mining, learning analytics, human-computer interaction, and recommender systems.
The lab's research themes include systems that help learning and mechanisms that read learners' states in order to support them.
At the School of Interdisciplinary Science and Innovation, Assistant Professor Ma teaches the courses "Real Data Analysis Techniques 1" and "Real Data Analysis Techniques 2."
Assistant Professor Ma belongs to the Faculty of Arts and Science at Kyushu University and holds a concurrent appointment at the School of Interdisciplinary Science and Innovation.
Key terms
- Learning analytics
- An approach that analyzes the log data left in the course of learning to capture how students learn and how well they understand, and uses the results to support learning.
- Recommender system
- A mechanism that selects and suggests items likely to suit a user. In this research, the targets include recommending courses to take.
- Jump-back
- The action of returning to an earlier page while reading digital learning materials. It offers clues about how students read.
ResearchResearch themes
Assistant Professor Boxuan Ma studies systems that support learning, using data obtained in learning settings as clues. The topics include language learning, course recommendation, and how digital learning materials are read.
*Illustrative imageDiagnosing Knowledge in Language Learning
Language learning apps focus mainly on word-level questions, which makes it difficult to define units of skill or knowledge. The lab proposes a framework that defines units based on linguistic features and diagnoses knowledge states using neural networks.
*Illustrative imageModeling Learning and Forgetting
In language learning, even words that have been learned are easily forgotten without practice. The lab proposes a model that predicts the probability of recalling a word from records of past practice. The model also uses the question format and the semantic closeness between words.
*Illustrative imageCourse Recommendation Systems
The lab studies course recommendation systems that help university students choose courses. It lets students explore courses through visual interaction on screen, and tests designs that make recommendations easier to understand and raise user satisfaction.
*Illustrative imageAnalyzing How Digital Learning Materials Are Read
From operation logs of digital learning materials used in university classes, the lab analyzes jump-back, the action of returning to an earlier page. It organizes the reasons for going back as reading patterns and looks for clues for designing digital learning materials.
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: “WAPUG support let's connect learning clinic” JBequio / CC BY-SA 4.0 (cropped)
- Diagnosing Knowledge in Language Learning: “Learning the Language- Turkish class connects members with Türkiye (8865288)” U.S. Air Force photo by Staff Sgt. Nicole Molignano / Public domain (cropped)
- Modeling Learning and Forgetting: “EnglishFlashCardsSample” Original uploader was Tomchiukc at zh.wikipedia / CC BY-SA 3.0 (cropped)
- Course Recommendation Systems: “University diploma” Oregon State University / CC BY-SA 2.0 (cropped)
- Analyzing How Digital Learning Materials Are Read: “Digital Learning Network ( )” NASA Goddard Photo and Video / 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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