Folgen
Boxuan Ma
Boxuan Ma
Sonstige Namen马 博轩, 馬 博軒
Assistant Professor, Faculty of Arts and Science, Kyushu University
Bestätigte E-Mail-Adresse bei artsci.kyushu-u.ac.jp - Startseite
Titel
Zitiert von
Zitiert von
Jahr
CourseQ: the impact of visual and interactive course recommendation in university environments
B Ma, M Lu, Y Taniguchi, S Konomi
Research and practice in technology enhanced learning 16, 1-24, 2021
362021
Course Recommendation for University Environments
B Ma, Y Taniguchi, S Konomi
Proceedings of The 13th International Conference on Educational Data Mining …, 2020
282020
Exploration and Explanation: An Interactive Course Recommendation System for University Environments.
B Ma, M Lu, Y Taniguchi, Shin'ichi Konomi
IUI Workshops, 2021
152021
Investigating course choice motivations in university environments
B Ma, M Lu, Y Taniguchi, S Konomi
Smart Learning Environments 8, 1-18, 2021
142021
Exploring jump back behavior patterns and reasons in e-book system
B Ma, M Lu, Y Taniguchi, S Konomi
Smart Learning Environments 9, 1-23, 2022
122022
Enhancing Programming Education with ChatGPT: A Case Study on Student Perceptions and Interactions in a Python Course
B Ma, L Chen, S Konomi
International Conference on Artificial Intelligence in Education, 113-126, 2024
92024
Each encounter counts: Modeling language learning and forgetting
B Ma, GP Hettiarachchi, S Fukui, Y Ando
LAK23: 13th International Learning Analytics and Knowledge Conference, 79-88, 2023
52023
Design a course recommendation system based on association rule for hybrid learning environments
B Ma, Y Taniguchi, S Konomi
Information processing society of Japan 7, 2019
52019
Making Course Recommendation Explainable: A Knowledge Entity-Aware Model using Deep Learning
T Yang, B Ren, B Ma, MAZ Khan, T He, S Konomi
The 17th International Conference on Educational Data Mining, 658–663, 2024
42024
Format-aware item response theory for predicting vocabulary proficiency
B Ma, GP Hettiarachchi, Y Ando
Proceedings of the 15th International Conference on Educational Data Mining, 695, 2022
42022
Understanding Jump Back Behaviors in E-book System
B Ma, J Chen, C Li, L Liu, M Lu, Y Taniguchi, S Konomi
Companion Proceedings of the 10th International Conference on Learning …, 2020
42020
How Do Strategies for Using ChatGPT Affect Knowledge Comprehension?
L Chen, G Li, B Ma, C Tang, F Okubo, A Shimada
International Conference on Artificial Intelligence in Education, 151-162, 2024
32024
A Survey on Explainable Course Recommendation Systems
B Ma, T Yang, B Ren
International Conference on Distributed, Ambient, and Pervasive Interactions …, 2024
22024
CourseQ: the impact of visual and interactive course recommendation in university environments. Research and Practice in Technology Enhanced Learning 16, 1 (Dec. 2021), 18
B Ma, M Lu, Y Taniguchi, S Konomi
22021
Understanding Student Slide Reading Patterns During The Pandemic
B Ma, M Lu, S Konomi
18th International Conference on Cognition and Exploratory Learning in …, 2021
22021
Exploring the Design Space for Explainable Course Recommendation Systems in University Environments
B Ma, M Lu, Y Taniguchi, S Konomi
Companion Proceedings of the 10th International Conference on Learning …, 2020
22020
Design of an elective course recommendation system for university environment
B Ma
12th International Conference on Educational Data Mining, EDM 2019, 699-701, 2019
22019
Enhancing E-Book Learning Dashboards with GPT-Assisted Page Grouping and Adaptive Navigation Link Visualization
M Lu, B Ma, X Geng, M Yamada
The 15th International Learning Analytics and Knowledge Conference (LAK 2025), 2025
1*2025
LEVERAGING CHATGPT FOR AUTOMATED KNOWLEDGE CONCEPT GENERATION
T YANG, B REN, C GU, B MA, S KONOMI
21th International Conference on Cognition and Exploratory Learning in …, 2024
12024
A THREE-STEP KNOWLEDGE GRAPH APPROACH USING LLMS IN COLLABORATIVE PROBLEM SOLVING-BASED STEM EDUCATION
L Chen, G Li, B Ma, C Tang, M Yamada
21th International Conference on Cognition and Exploratory Learning in …, 2024
1*2024
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20