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発表文献

2024年度

論文誌 (査読有)

  1. Sukrit Leelaluk, Cheng Tang, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada
    Attention-Based Artificial Neural Network for Student Performance Prediction Based on Learning Activities
    IEEE Access 2024, Vol.12, pp.100659-100675, 2024.07
    BibTeX
  2. Cheng Tang, Yuki Todo, Sachiko Kodera, Rong Sun, Atsushi Shimada, Akimasa Hirata
    A novel multivariate time series forecasting dendritic neuron model for COVID-19 pandemic transmission tendency
    Neural Networks, p.106527, 2024.07
    BibTeX
  3. Yiding Li, Atsushi Shimada, Tsubasa Minematsu, Cheng Tang
    A framework of specialized knowledge distillation for Siamese tracker on challenging attributes
    Machine Vision and Applications, Vol.35, No.4, pp.1-18, 2024.07
    BibTeX
  4. Dirk Ifenthaler, Rwitajit Majumdar, Pierre Gorissen, Miriam Judge, Shitanshu Mishra, Juliana Raffaghelli, Atsushi Shimada
    Artificial intelligence in education: implications for policymakers, researchers, and practitioners
    Technology, Knowledge and Learning, Vol.29, pp.1693–1710, 2024.06
    BibTeX
  5. Cheng Tang, Junkai Ji, Yuki Todo, Atsushi Shimada, Weiping Ding, Akimasa Hirata
    Dendritic Neural Network: A Novel Extension of Dendritic Neuron Model
    IEEE Transactions on Emerging Topics in Computational Intelligence, Vol.8, No.3, pp.2228-2239, 2024.06
    BibTeX

国際会議 (査読有)

  1. Sukrit Leelaluk, Cheng Tang, Valdemar Švábenský, , Atsushi Shimada
    Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance
    In The 40th ACM/SIGAPP Symposium on Applied Computing (SAC '25), 2025.03
    BibTeX, Doi Foundation, Paper Information
  2. Valdemar Švábenský, Conrad Borchers, Elizabeth B. Cloude, , Atsushi Shimada
    Evaluating the Impact of Data Augmentation on Predictive Model Performance
    The 15th International Learning Analytics and Knowledge Conference (LAK 2025), 2025.03
    BibTeX, Doi Foundation, Paper Information
  3. Jan Vykopal, Valdemar Švábenský, Michael Tuscano Lopez II, Pavel Čeleda
    Cybersecurity Study Programs: What's in a Name?
    Proceedings of the 56th ACM Technical Symposium on Computer Science Education (Association for Computing Machinery), Vol.25, p.7, 2025.02
    BibTeX
  4. Erwin D. LOPEZ Z., Cheng TANG, Atsushi SHIMADA
    Attention-Seeker: Dynamic Self-Attention Scoring for Unsupervised Keyphrase Extraction
    The 31st International Conference on Computational Linguistics (COLING2025), pp.5011-5026, 2025.01
    BibTeX
  5. Ryunosuke HAMADA, Tsubasa MINEMATSU, Cheng TANG, Atsushi SHIMADA
    Analysis of adapter in attention of change detection Vision Transformer
    AI-based All-Weather Surveillance System, AWSS 2024, 2024.12
    BibTeX
  6. Erwin D. LOPEZ Z., Cheng TANG, Yuta TANIGUCHI, Fumiya OKUBO, Shimada ATSUSHI
    Automated Recommendations for Revising Lecture Slides Using Reading Activity Data
    The 32nd International Conference on Computers in Education (ICCE 2024), pp.246-255, 2024.11
    BibTeX
  7. Tsubasa Minematsu, Atsushi Shimada
    Large Language Model Detuning in Learning Content Understanding
    21st International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2024), 2024.10
    BibTeX
  8. Ken Goto, Li Chen, Tsubasa Minematsu, Atsushi Shimada
    Integrating Gaze Data and Digital Textbook Reading Logs for Enhanced Analysis of Learning Activities
    21st International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2024), 2024.10
    BibTeX
  9. Ryusei Munemura, Fumiya Okubo, Tsubasa Minematsu, Yuta Taniguchi, Atsushi Shimada
    Generating Explanatory Texts on Relationships Between Subjects and Their Positions in a Curriculum Using Generative AI
    21st International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2024), 2024.10
    BibTeX
  10. Ivo Lodovico Molina, Valdemar Svabensky, Tsubasa Minematsu, Li Chen, Fumiya Okubo, Atsushi Shimada
    Comparison of Large Language Models for Generating Contextually Relevant Questions
    Technology Enhanced Learning for Inclusive and Equitable Quality Education (EC-TEL 2024), Vol.15160, No.2, pp.137–143, 2024.09
    BibTeX
  11. Yongle Ren, Cheng Tang, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada
    QA-Knowledge Attention for Exam Performance Prediction
    Technology Enhanced Learning for Inclusive and Equitable Quality Education (EC-TEL 2024), Vol.15159, No.1, pp.375-389, 2024.09
    BibTeX
  12. Gen Li, Cheng Tang, Li Chen, Daisuke Deguchi, Takayoshi Yamashita, Atsushi Shimada
    LLM-Driven Ontology Learning to Augment Student Performance Analysis in Higher Education
    International Conference on Knowledge Science, Engineering and Management (KSEM 2024), Vol.3, pp.57-68, 2024.08
    BibTeX
  13. Cheng Tang, Li Chen, Gen Li, Tsubasa Minematsu, Fumiya Okubo, Yuta Taniguchi, Atsushi Shimada
    Visual Analytics of Learning Behavior Based on the Dendritic Neuron Model
    International Conference on Knowledge Science, Engineering and Management (KSEM 2024), Vol.2, pp.192-203, 2024.08
    BibTeX
  14. Svabensky Valdemar, Melina Verger, Maria Mercedes T. Rodrigo, Clarence James G. Monterozo, Ryan S. Baker, Miguel Zenon Nicanor Lerias Saavedra, Sebastien Lalle, Atsushi Shimada
    Evaluating Algorithmic Bias in Models for Predicting Academic Performance of Filipino Students
    The 17th International Conference on Educational Data Mining (EDM2024), 2024.07
    BibTeX
  15. Yuma Miyazaki, Svabensky Valdemar, Yuta Taniguchi, Fumiya Okubo, Tsubasa Minematsu, Atsushi Shimada
    E2Vec: Feature Embedding with Temporal Information for Analyzing Student Actions in E-Book Systems
    The 17th International Conference on Educational Data Mining (EDM2024), 2024.07
    BibTeX
  16. Boxuan Ma, Li Chen, Shin’ichi Konomi
    Enhancing Programming Education with ChatGPT: A Case Study on Student Perceptions and Interactions in a Python Course
    25th International Conference on Artificial Intelligence in Education (AIED 2024), No.1, pp.113-126, 2024.07
    BibTeX
  17. Li Chen, Gen Li, Boxuan Ma, Cheng Tang, Fumiya Okubo, Atsushi Shimada
    How Do Strategies for Using ChatGPT Affect Knowledge Comprehension?
    25th International Conference on Artificial Intelligence in Education (AIED 2024), No.1, pp.151-162, 2024.07
    BibTeX
  18. Yunyu Zhou, Cheng Tang, Atsushi Shimada
    A Novel Approach: Enhancing Data Extraction from Student Handwritten Notes Using Multi-Task U-Net and GPT-4
    Joint International Conference on Automation-Intelligence-Safety & International Symposium on Autonomous Systems (ICAIS&ISAS2024), 2024.05
    BibTeX
  19. Li Yiding, Cheng Tang, Tsubasa Minematsu, Atsushi Shimada
    A High-speed and Lightweight Siamese Tracker based on RepVGG Network
    Joint International Conference on Automation-Intelligence-Safety & International Symposium on Autonomous Systems (ICAIS&ISAS2024), 2024.05
    BibTeX
  20. Li Yiding, Cheng Tang, Tsubasa Minematsu, Atsushi Shimada
    Visibility-aware Multi-teacher Knowledge Distillation for Siamese Tracker
    Joint International Conference on Automation-Intelligence-Safety & International Symposium on Autonomous Systems (ICAIS&ISAS2024), 2024.05
    BibTeX

国内学会 (査読無し)

  1. 米田 俊祐, 大久保文哉, 峰松 翼, 出口 大輔, 島田 敬士
    差分特徴を用いた連合学習によるAt-risk学生検出の検討
    第103回先進的学習科学と工学研究会 (ALST), Vol.103, pp.45-50, 2025.03
    BibTeX
  2. 齊藤 光志, 峰松 翼, 島田 敬士
    農作業の定量化による農業実習支援の検討
    第103回先進的学習科学と工学研究会 (ALST), Vol.103, No.10, pp.105-110, 2025.03
    BibTeX
  3. Vimeanseth Thorng, 大久保 文哉, 島田 敬士
    AIチャットボットによるフィードバックが学習に与える影響の検討
    第45回教育学習支援情報システム研究会 (CLE45), 2025.03
    BibTeX
  4. 武石 航汰, 陳 莉, 島田 敬士
    グループディスカッションの可視化システムの開発
    第45回教育学習支援情報システム研究会 (CLE45), 2025.03
    BibTeX
  5. 米田 俊祐, 大久保文哉, 峰松 翼, 出口 大輔, 島田 敬士
    連合学習によるAt-risk学生検出の検討
    信学技報教育工学（ET2024-34）, Vol.124, No.205, pp.49-54, 2024.10
    BibTeX
  6. 宮崎佑馬, 峰松翼, 谷口雄太, 大久保文哉, 島田敬士
    電子教材の閲覧行動とコンテンツの分散表現による学習活動分析
    信学技報教育工学（ET2024-27）, Vol.124, No.205, pp.5-12, 2024.10
    BibTeX
  7. 川畑 考太朗, 大久保 文哉, 谷口 雄太, 唐 成, 島田 敬士
    デジタル教科書のログデータを用いたKnowledge Tracingモデルの拡張
    第23回情報科学技術フォーラム (FIT2024), 2024.09
    BibTeX
  8. 濵田 龍之介, 峰松 翼, 唐 成, 島田 敬士
    変化検出ViTのattentionへのadapter導入に関する分析
    第27回 画像の認識・理解シンポジウム (MIRU2024), 2024.08
    BibTeX
  9. 十時 蒼太, 陳 莉, 峰松 翼, 島田 敬士
    ブルームの分類法の低次カテゴリ別問題の自動生成
    第43回教育学習支援情報システム研究会 (CLE43), 2024.06
    BibTeX
  10. 宗村 隆世, 大久保 文哉, 峰松 翼, 谷口 雄太, 島田 敬士
    生成AIを用いた科目間の関連性および科目の位置付けに関する説明文生成手法
    第43回教育学習支援情報システム研究会 (CLE43), 2024.06
    BibTeX
  11. 松本 大輝, 谷口 雄太, 大久保 文哉, 島田 敬士
    LLMによるプログラムエラーの説明に基づく教材ページ推薦手法
    第43回教育学習支援情報システム研究会 (CLE43), 2024.06
    BibTeX