CEUR-WS.org/Vol-3667 - Joint Proceedings of LAK 2024 Workshops

CEUR-WS.org/Vol-3667 - Joint Proceedings of LAK 2024 Workshops
Vol-3667
urn:nbn:de:0074-3667-1
Copyright © 2024 for
the individual papers by the papers' authors.
Copyright ©
2024
for the volume
as a collection by its editors.
This volume and its papers are published under the
Creative Commons License Attribution 4.0 International
CC BY 4.0
LAK-WS 2024
Joint Proceedings of LAK 2024 Workshops
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
Edited by
Martin Hlosta
Ivan Moser
Brendan Flanagan
Gloria Milena Fernandez-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
10
Hiroaki Ogata
11
Vanessa Echeverria
Roberto Martinez-Maldonado
Yi-shan Tsai
Lu Lawrence
12
Shaveen Singh
Stanislav Pozdniakov
13
Lujie Karen Chen
14
Jiaqi Gong
15
Louise Yarnall
16
Andy Nguyen
17
Lele Sha
Jionghao Lin
18
Mutlu Cukurova
19
Kshitij Sharma
20
Linxuan Zhao
Yuheng Li
Yueqiao Jin
Dragan Gašević
Caitlin Mills
21
Stephen Hutt
22
The Swiss Distance University of Applied Sciences (Fernfachhochschule Schweiz – FFHS)
The Institute for Research in Open, Distance and eLearning (IFeL), Schinerstrasse 18, Brig, 3900, Switzerland
Kyoto University
Center for Innovative Research and Education in Data Science, Room 302 Konoe-kan, 69 Konoe-cho, Sakyo-ku, Yoshida, Kyoto, 606-8315, Japan
Monash University
Department of Human Centred Computing, Wellington Rd, Clayton VIC, 3800, Australia
University of Pittsburgh
4200 Fifth Ave, Pittsburgh, PA, 15213, United States
The Open University of Israel
1 University Road, POB 808, Raanana 4353701, Israel
University of Johannesburg
Faculty of Education, PO Box 524, Auckland Park, Kingsway Campus, 2006, South Africa
Kyushu University
Faculty of Information Science and Electrical Engineering, 744 Motooka, Nishi-ku, Fukuoka, 819-0395, Japan
National Central University
Department of Information Management, 300 Jhongda Road, Zhongli District, Taoyuan City, 32001, Taiwan (R.O.C.)
National Chung-Hsing University
Department of Computer Science and Engineering, 145 Xingda Road, South District, Taichung, 40221, Taiwan (R.O.C.)
10
National Chengchi University
International College of Innovation (ICI), No. 64, Sec 2, Zhinan Rd, Wenshan District, Taipei City, 11065, Taiwan (R.O.C.)
11
Kyoto University
Academic Center for Computing and Media Studies, Kyoto University, Yoshida Nihonmatsu-cho , Sakyo-ku, Kyoto, 606-8501, Japan
12
Utah State University
Instructional Technology of Learning Sciences, Old Main Hill, 2830, United States
13
The University of Queensland
Faculty of Engineering, Architecture and Information Technology, St Lucia QLD, 4072, Australia
14
University of Maryland Baltimore County
Department of Information Systems, 1000 Hilltop Circle, Baltimore, MD 21250, United States
15
The University of Alabama
College of Engineering, Tuscaloosa, AL 35487, United States
16
SRI
SRI Education, 333 Ravenswood Ave, Menlo Park, CA 94025, United States
17
University of Oulu
Faculty of Education and Psychology, Pentti Kaiteran katu 1 Linnanmaa, Finland
18
Carnegie Mellon University
Human-Computer Interaction Institute, 4804 Forbes Avenue, Pittsburgh, PA 15213, United States
19
University College London
UCL Knowledge Lab, 20 Bedford Way, London, WC1H 0AL, United Kingdom
20
Norwegian University of Science and Technology
Department of Computer Science, IT-bygget, 147, Gløshaugen, Norway
21
University of Minnesota
250 Education Sciences Bldg, 56 E River Rd, Minneapolis, MN 55455, United States
22
University of Denver
2155 E Wesley Drive, Denver, CO, 80210, United States
Table of Contents
The 6th Workshop on Predicting Performance Based on the Analysis of Reading and Learning Behavior (DC-LAK24)
Preface
1-2
Summary: There were
11
papers submitted for peer-review to this workshop. Out of these,
11
papers were accepted for this volume,
as regular papers and
as short paper.
Trustworthy and Explainable AI for Learning Analytics
3-12
Min-Jia Li
Shun-Ting Li
Albert C. M. Yang
Anna Y.Q. Huang
Stephen J.H. Yang
Using a Hierarchical Clustering Algorithm to Explore the Relationship Between Students' Program Debugging and Learning Performance
13-22
Chao-Hung Liu
Ting-Chia Hsu
Predicting Learning Achievement through Self-Regulated Learning Strategies, Motivation, and Programming Behaviors
23-31
Pei-Xuan Wang
Ting-Chia Hsu
Personalized Navigation Recommendation for E-book Page Jump
32-41
Boxuan Ma
Li Chen
Min Lu
Enhancing Personalized Learning with MBTI Forecasts and ChatGPT's Tailored Study Advice
42-46
Yi-Chun Hsieh
Albert C.M. Yang
Educational Data Analysis using Generative AI
47-55
Abdul Berr
Sukrit Leelaluk
Cheng Tang
Li Chen
Fumiya Okubo
Atsushi Shimada
The Feasibility of Utilizing ChatGPT in Learning Analytics for the Identification of At-Risk Students
56-63
Zhi Qi Liu
Owen H.T. Lu
Hsiao-Ting Tseng
Explore the Explanation and Consistency of Explainable AI in the LBLS Data Set
64-72
Tiffany T.Y. Hsu
Owen H.T. Lu
Educational Data Analysis using Generative AI
73-82
Shuaileng Yuan
Sukrit Leelaluk
Cheng Tang
Li Chen
Fumiya Okubo
Atsushi Shimada
Classroom Monitoring using Emotional Data
83-88
Mohammad Nehal Hasnine
Ho Tan Nguyen
Gökhan Akçapınar
Ryugo Morita
Hiroshi Ueda
Chatbots and English as a Foreign Language Learning: A Systematic Review
89-98
Steve Woollaston
Brendan Flanagan
Hiroaki Ogata
Data Storytelling and Learning Analytics Workshop (DS-LAK24)
Preface
99
Summary: There were
papers submitted for peer-review to this workshop. Out of these,
papers were accepted for this volume,
as regular papers and
as short papers.
Data Storytelling on Multi-Modal Knowledge Graph via Data Comics: a Case Study in Yanyuwa Language
100-117
Zhiping Liang
Zijie Zeng
Gloria Fernandez Nieto
Yuheng Li
Yi-Shan Tsai
Guanliang Chen
Zachari Swiecki
Dragan Gašević
John Bradley
Lele Sha
Data Storytelling for Feedback Analytics
118-123
Bhagya Maheshi
Mikaela Elizabeth Milesi
Hiruni Palihena
Aaron Zheng
Roberto Martinez-Maldonado
Yi-Shan Tsai
YarnSense: Automated Data Storytelling for Multimodal Learning Analytics
124-138
Gloria Milena Fernández-Nieto
Vanessa Echeverria
Roberto Martinez-Maldonado
Simon Buckingham Shum
Use of SHAP Values for Identifying Differences in Behaviors for Subpopulations Under Intervention
139-149
Juan A. Talamás-Carvajal
Hector G. Ceballos-Cancinob
Roberto Martinez-Maldonado
Yi-Shan Tsai
Automating Data Narratives in Learning Analytics Dashboards using GenAI
150-161
Adriano Pinargote
Eddy Calderón
Kevin Cevallos
Gladys Carrillo
Katherine Chiluiza
Vanessa Echeverria
From Visualizing to Narrativizing: Powerful Data Storytelling through Non-Player Characters
162-170
Maurice A. Boothe Jr
Jeffrey S. Brenneman
Generative AI for Learning Analytics (GenAI-LA)
Preface
171-172
Summary: There were
12
papers submitted for peer-review to this workshop. Out of these,
papers were accepted for this volume,
as regular papers and
as short papers.
3DG: A Framework for Using Generative AI for Handling Sparse Learner Performance Data From Intelligent Tutoring Systems
173-184
Liang Zhang
Jionghao Lin
Conrad Borchers
Meng Cao
Xiangen Hu
An AI Agent Facilitating Student Help-Seeking: Producing Data on Student Support Needs
185-194
Joonas Merikko
Anni Silvola
Enhancing Trust in Generative AI: Investigating Explainability of LLMs to Analyse Confusion in MOOC Discussions
195-204
Yuanyuan Hu
Nasser Giacaman
Claire Donald
Generative AI for Critical Analysis: Practical Tools, Cognitive Offloading and Human Agency
205-213
Simon Buckingham Shum
Generative Multimodal Analysis (GMA) for Learning Process Data Analytics
214-218
Ridwan Whitehead
Andy Nguyen
Sanna Järvelä
GPT-3.5, GPT-4, Bard, and Claude’s Performance on the Chinese Reading Comprehension Test
219-222
Bor-Chen Kuo
Pei-Chen Wu
Chen-Huei Liao
Supporting Self-Regulated Learning with Generative AI: A Case of Two Empirical Studies
223-229
Jacqueline Wong
Olga Viberg
Supporting Student Decisions on Learning Recommendations: An LLM-Based Chatbot with Knowledge Graph Contextualization for Conversational Explainability and Mentoring
230-239
Hasan Abu-Rasheed
Mohamad Hussam Abdulsalam
Cristian Weber
Madjid Fathi
Tamil Co-Writer: Towards Inclusive Use of Generative AI for Writing Support
240-248
Antonette Shibani
Faerie Mattins
Srivarshan Selvaraj
Ratnavel Rajalakshmi
Gnana Bharathy
Learning Analytics from Virtual Reality (LAVR)
Preface
249-250
Summary: There were
papers submitted for peer-review to this workshop. Out of these,
papers were accepted for this volume,
as regular papers and
as short papers.
A Learning Analytics Dashboard to Investigate the Influence of Interaction in a VR Learning Application
251-259
Birte Heinemann
Sergej Görzen
Ana Dragoljić
Lars Meiendresch
Marc Troll
Ulrik Schroeder
Towards using the xAPI specification for Learning Analytics in Virtual Reality
260-271
Sergej Görzen
Birte Heinemann
Ulrik Schroeder
Approximating eye gaze with head pose in a virtual reality microteaching scenario for pre-service teachers
272-283
Ivan Moser
Martin Hlosta
Per Bergamin
Umesh Ramnarain
Christo Van Der Westhuizen
Mafor Penn
Noluthando Mdlalose
Koketso Pila
Ogegbo Ayodele
Towards Learning Analytics for Student Evaluation in the Metaversity
284-291
Amir Winer
Nitza Geri
Marrying Asset- and Deficit-Based Approaches: A Data Feminist Perspective in Learning Analytics
Preface
292-294
Summary: There was
paper submitted for peer-review to this workshop.
paper was accepted for this volume.
Exploring Strength- and Growth-Based Learning Analytics: Possibilities and Challenges for New Data, Models and Tools
295-301
Alyssa Wise
Fanjie Li
2024-03-15: submitted by Martin Hlosta,
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2024-04-20
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