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LAK Workshops 2024: Kyoto, Japan
- Martin Hlosta, Ivan Moser, Brendan Flanagan, Gloria Milena Fernández Nieto, Lixiang Yan, Angela Stewart, Amir Winer, Nitza Geri, Umesh Ramnarain, Christo van der Westhuizen, Atsushi Shimada, Fumiya Okubo, Hsiao-Ting Tseng, Albert C. M. Yang, Owen H. T. Lu, Hiroaki Ogata, Vanessa Echeverría, Roberto Martínez Maldonado, Yi-Shan Tsai, LuEttaMae Lawrence, Shaveen Singh, Stanislav Pozdniakov, Lujie Karen Chen, Jiaqi Gong, Louise Yarnall, Andy Nguyen, Lele Sha, Jionghao Lin, Mutlu Cukurova, Kshitij Sharma, Linxuan Zhao, Yuheng Li, Yueqiao Jin, Dragan Gasevic, Caitlin Mills, Stephen Hutt:
Joint Proceedings of LAK 2024 Workshops co-located with 14th International Conference on Learning Analytics and Knowledge (LAK 2024), Kyoto, Japan, March 18-22, 2024. CEUR Workshop Proceedings 3667, CEUR-WS.org 2024
The 6th Workshop on Predicting Performance Based on the Analysis of Reading and Learning Behavior (DC-LAK24)
- Min-Jia Li, Shun-Ting Li, Albert C. M. Yang, Anna Y. Q. Huang, Stephen J. H. Yang:
Trustworthy and Explainable AI for Learning Analytics. 3-12 - Chao-Hung Liu, Ting-Chia Hsu:
Using a Hierarchical Clustering Algorithm to Explore the Relationship Between Students' Program Debugging and Learning Performance. 13-22 - Pei-Xuan Wang, Ting-Chia Hsu:
Predicting Learning Achievement through Self-Regulated Learning Strategies, Motivation, and Programming Behaviors. 23-31 - Boxuan Ma, Li Chen, Min Lu:
Personalized Navigation Recommendation for E-book Page Jump. 32-41 - Yi-Chun Hsieh, Albert C. M. Yang:
Enhancing Personalized Learning with MBTI Forecasts and ChatGPT's Tailored Study Advice. 42-46 - Abdul Berr, Sukrit Leelaluk, Cheng Tang, Li Chen, Fumiya Okubo, Atsushi Shimada:
Educational Data Analysis using Generative AI. 47-55 - Zhi Qi Liu, Owen H. T. Lu, Hsiao-Ting Tseng:
The Feasibility of Utilizing ChatGPT in Learning Analytics for the Identification of At-Risk Students. 56-63 - Tiffany T. Y. Hsu, Owen H. T. Lu:
Explore the Explanation and Consistency of Explainable AI in the LBLS Data Set. 64-72 - Shuaileng Yuan, Sukrit Leelaluk, Cheng Tang, Li Chen, Fumiya Okubo, Atsushi Shimada:
Educational Data Analysis using Generative AI. 73-82 - Mohammad Nehal Hasnine, Ho Tan Nguyen, Gökhan Akçapinar, Ryugo Morita, Hiroshi Ueda:
Classroom Monitoring using Emotional Data. 83-88 - Steve Woollaston, Brendan Flanagan, Hiroaki Ogata:
Chatbots and English as a Foreign Language Learning: A Systematic Review. 89-98
Data Storytelling and Learning Analytics Workshop (DS-LAK24)
- Zhiping Liang, Zijie Zeng, Gloria Fernández-Nieto, Yuheng Li, Yi-Shan Tsai, Guanliang Chen, Zachari Swiecki, Dragan Gasevic, John Bradley, Lele Sha:
Data Storytelling on Multi-Modal Knowledge Graph via Data Comics: a Case Study in Yanyuwa Language. 100-117 - Bhagya Maheshi, Mikaela Elizabeth Milesi, Hiruni Palihena, Aaron Zheng, Roberto Martínez Maldonado, Yi-Shan Tsai:
Data Storytelling for Feedback Analytics. 118-123 - Gloria Milena Fernández Nieto, Vanessa Echeverría, Roberto Martínez Maldonado, Simon Buckingham Shum:
YarnSense: Automated Data Storytelling for Multimodal Learning Analytics. 124-138 - Juan Andrés Talamás-Carvajal, Hector G. Ceballos-Cancinob, Roberto Martínez Maldonado, Yi-Shan Tsai:
Use of SHAP Values for Identifying Differences in Behaviors for Subpopulations Under Intervention. 139-149 - Adriano Pinargote, Eddy Calderón, Kevin Cevallos, Gladys Carrillo, Katherine Chiluiza, Vanessa Echeverría:
Automating Data Narratives in Learning Analytics Dashboards using GenAI. 150-161 - Maurice A. Boothe Jr., Jeffrey S. Brenneman:
From Visualizing to Narrativizing: Powerful Data Storytelling through Non-Player Characters. 162-170
Generative AI for Learning Analytics (GenAI-LA)
- Liang Zhang, Jionghao Lin, Conrad Borchers, Meng Cao, Xiangen Hu:
3DG: A Framework for Using Generative AI for Handling Sparse Learner Performance Data From Intelligent Tutoring Systems. 173-184 - Joonas Merikko, Anni Silvola:
An AI Agent Facilitating Student Help-Seeking: Producing Data on Student Support Needs. 185-194 - Yuanyuan Hu, Nasser Giacaman, Claire Donald:
Enhancing Trust in Generative AI: Investigating Explainability of LLMs to Analyse Confusion in MOOC Discussions. 195-204 - Simon Buckingham Shum:
Generative AI for Critical Analysis: Practical Tools, Cognitive Offloading and Human Agency. 205-213 - Ridwan Whitehead, Andy Nguyen, Sanna Järvelä:
Generative Multimodal Analysis (GMA) for Learning Process Data Analytics. 214-218 - Bor-Chen Kuo, Pei-Chen Wu, Chen-Huei Liao:
GPT-3.5, GPT-4, Bard, and Claude's Performance on the Chinese Reading Comprehension Test. 219-222 - Jacqueline Wong, Olga Viberg:
Supporting Self-Regulated Learning with Generative AI: A Case of Two Empirical Studies. 223-229 - Hasan Abu-Rasheed, Mohamad Hussam Abdulsalam, Christian Weber, Madjid Fathi:
Supporting Student Decisions on Learning Recommendations: An LLM-Based Chatbot with Knowledge Graph Contextualization for Conversational Explainability and Mentoring. 230-239 - Antonette Shibani, Faerie Mattins, Srivarshan Selvaraj, Ratnavel Rajalakshmi, Gnana Bharathy:
Tamil Co-Writer: Towards Inclusive Use of Generative AI for Writing Support. 240-248
Learning Analytics from Virtual Reality (LAVR)
- Birte Heinemann, Sergej Görzen, Ana Dragoljic, Lars Meiendresch, Marc Troll, Ulrik Schroeder:
A Learning Analytics Dashboard to Investigate the Influence of Interaction in a VR Learning Application. 251-259 - Sergej Görzen, Birte Heinemann, Ulrik Schroeder:
Towards using the xAPI specification for Learning Analytics in Virtual Reality. 260-271 - Ivan Moser, Martin Hlosta, Per Bergamin, Umesh Ramnarain, Christo van der Westhuizen, Mafor Penn, Noluthando Mdlalose, Koketso Pila, Ogegbo Ayodele:
Approximating eye gaze with head pose in a virtual reality microteaching scenario for pre-service teachers. 272-283 - Amir Winer, Nitza Geri:
Towards Learning Analytics for Student Evaluation in the Metaversity. 284-291
Marrying Asset- and Deficit-Based Approaches: A Data Feminist Perspective in Learning Analytics
- Alyssa Wise, Fanjie Li:
Exploring Strength- and Growth-Based Learning Analytics: Possibilities and Challenges for New Data, Models and Tools. 295-301
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last updated on 2024-12-26 00:34 CET by the dblp team
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