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Publication search results
found 32 matches
- 2024
- Hasan Abu-Rasheed, Mohamad Hussam Abdulsalam, Cristian Weber, Madjid Fathi:
Supporting Student Decisions on Learning Recommendations: An LLM-Based Chatbot with Knowledge Graph Contextualization for Conversational Explainability and Mentoring. LAK Workshops 2024: 230-239 - Abdul Berr, Sukrit Leelaluk, Cheng Tang, Li Chen, Fumiya Okubo, Atsushi Shimada:
Educational Data Analysis using Generative AI. LAK Workshops 2024: 47-55 - Maurice A. Boothe Jr., Jeffrey S. Brenneman:
From Visualizing to Narrativizing: Powerful Data Storytelling through Non-Player Characters. LAK Workshops 2024: 162-170 - Gloria Milena Fernández Nieto, Vanessa Echeverría, Roberto Martínez-Maldonado, Simon Buckingham Shum:
YarnSense: Automated Data Storytelling for Multimodal Learning Analytics. LAK Workshops 2024: 124-138 - Sergej Görzen, Birte Heinemann, Ulrik Schroeder:
Towards using the xAPI specification for Learning Analytics in Virtual Reality. LAK Workshops 2024: 260-271 - Mohammad Nehal Hasnine, Ho Tan Nguyen, Gökhan Akçapinar, Ryugo Morita, Hiroshi Ueda:
Classroom Monitoring using Emotional Data. LAK Workshops 2024: 83-88 - 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. LAK Workshops 2024: 251-259 - Yi-Chun Hsieh, Albert C. M. Yang:
Enhancing Personalized Learning with MBTI Forecasts and ChatGPT's Tailored Study Advice. LAK Workshops 2024: 42-46 - Tiffany T. Y. Hsu, Owen H. T. Lu:
Explore the Explanation and Consistency of Explainable AI in the LBLS Data Set. LAK Workshops 2024: 64-72 - Yuanyuan Hu, Nasser Giacaman, Claire Donald:
Enhancing Trust in Generative AI: Investigating Explainability of LLMs to Analyse Confusion in MOOC Discussions. LAK Workshops 2024: 195-204 - 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. LAK Workshops 2024: 219-222 - 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. LAK Workshops 2024: 3-12 - 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. LAK Workshops 2024: 100-117 - Chao-Hung Liu, Ting-Chia Hsu:
Using a Hierarchical Clustering Algorithm to Explore the Relationship Between Students' Program Debugging and Learning Performance. LAK Workshops 2024: 13-22 - 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. LAK Workshops 2024: 56-63 - Boxuan Ma, Li Chen, Min Lu:
Personalized Navigation Recommendation for E-book Page Jump. LAK Workshops 2024: 32-41 - Bhagya Maheshi, Mikaela Elizabeth Milesi, Hiruni Palihena, Aaron Zheng, Roberto Martínez-Maldonado, Yi-Shan Tsai:
Data Storytelling for Feedback Analytics. LAK Workshops 2024: 118-123 - Joonas Merikko, Anni Silvola:
An AI Agent Facilitating Student Help-Seeking: Producing Data on Student Support Needs. LAK Workshops 2024: 185-194 - 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. LAK Workshops 2024: 272-283 - Adriano Pinargote, Eddy Calderón, Kevin Cevallos, Gladys Carrillo, Katherine Chiluiza, Vanessa Echeverría:
Automating Data Narratives in Learning Analytics Dashboards using GenAI. LAK Workshops 2024: 150-161 - Antonette Shibani, Faerie Mattins, Srivarshan Selvaraj, Ratnavel Rajalakshmi, Gnana Bharathy:
Tamil Co-Writer: Towards Inclusive Use of Generative AI for Writing Support. LAK Workshops 2024: 240-248 - Simon Buckingham Shum:
Generative AI for Critical Analysis: Practical Tools, Cognitive Offloading and Human Agency. LAK Workshops 2024: 205-213 - 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. LAK Workshops 2024: 139-149 - Pei-Xuan Wang, Ting-Chia Hsu:
Predicting Learning Achievement through Self-Regulated Learning Strategies, Motivation, and Programming Behaviors. LAK Workshops 2024: 23-31 - Ridwan Whitehead, Andy Nguyen, Sanna Järvelä:
Generative Multimodal Analysis (GMA) for Learning Process Data Analytics. LAK Workshops 2024: 214-218 - Amir Winer, Nitza Geri:
Towards Learning Analytics for Student Evaluation in the Metaversity. LAK Workshops 2024: 284-291 - Alyssa Wise, Fanjie Li:
Exploring Strength- and Growth-Based Learning Analytics: Possibilities and Challenges for New Data, Models and Tools. LAK Workshops 2024: 295-301 - Jacqueline Wong, Olga Viberg:
Supporting Self-Regulated Learning with Generative AI: A Case of Two Empirical Studies. LAK Workshops 2024: 223-229 - Steve Woollaston, Brendan Flanagan, Hiroaki Ogata:
Chatbots and English as a Foreign Language Learning: A Systematic Review. LAK Workshops 2024: 89-98 - Shuaileng Yuan, Sukrit Leelaluk, Cheng Tang, Li Chen, Fumiya Okubo, Atsushi Shimada:
Educational Data Analysis using Generative AI. LAK Workshops 2024: 73-82
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