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Jionghao Lin
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2020 – today
- 2024
- [j8]Jionghao Lin
, Mladen Rakovic
On the role of politeness in online human-human tutoring. Br. J. Educ. Technol. 55(1): 156-180 (2024) - [j7]Linxuan Zhao
Towards automated transcribing and coding of embodied teamwork communication through multimodal learning analytics. Br. J. Educ. Technol. 55(4): 1673-1702 (2024) - [j6]Jionghao Lin
Enhancing Educational Dialogue Act Classification With Discourse Context and Sample Informativeness. IEEE Trans. Learn. Technol. 17: 258-269 (2024) - [c21]Conrad Borchers, Kexin Yang, Jionghao Lin, Nikol Rummel, Kenneth R. Koedinger, Vincent Aleven:
Combining Dialog Acts and Skill Modeling: What Chat Interactions Enhance Learning Rates During AI-Supported Peer Tutoring? EDM 2024 - [c20]Jionghao Lin, Eason Chen, Zifei FeiFei Han, Ashish Gurung, Danielle R. Thomas, Wei Tan, Ngoc Dang Nguyen, Kenneth R. Koedinger:
How Can I Improve? Using GPT to Highlight the Desired and Undesired Parts of Open-ended Responses. EDM 2024 - [c19]Liang Zhang, Jionghao Lin
Predicting Learning Performance with Large Language Models: A Study in Adult Literacy. HCI (44) 2024: 333-353 - [c18]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. LAK Workshops 2024: 173-184 - [c17]Danielle R. Thomas
Improving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation. LAK 2024: 404-415 - [c16]Danielle R. Thomas
Learning and AI Evaluation of Tutors Responding to Students Engaging in Negative Self-Talk. L@S 2024: 481-485 - [c15]Eason Chen
GPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation. L@S 2024: 539-541 - [c14]Jionghao Lin
MuFIN: A Framework for Automating Multimodal Feedback Generation using Generative Artificial Intelligence. L@S 2024: 550-552 - [c13]Jionghao Lin
HAROR: A System for Highlighting and Rephrasing Open-Ended Responses. L@S 2024: 553-555 - [e2]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 [contents] - [i19]Sanjit Kakarla, Danielle Thomas, Jionghao Lin, Shivang Gupta, Kenneth R. Koedinger:
Using Large Language Models to Assess Tutors' Performance in Reacting to Students Making Math Errors. CoRR abs/2401.03238 (2024) - [i18]Liang Zhang
3DG: A Framework for Using Generative AI for Handling Sparse Learner Performance Data From Intelligent Tutoring Systems. CoRR abs/2402.01746 (2024) - [i17]Zifei FeiFei Han, Jionghao Lin, Ashish Gurung, Danielle R. Thomas, Eason Chen, Conrad Borchers
Improving Assessment of Tutoring Practices using Retrieval-Augmented Generation. CoRR abs/2402.14594 (2024) - [i16]Liang Zhang, Jionghao Lin, Conrad Borchers
Predicting Learning Performance with Large Language Models: A Study in Adult Literacy. CoRR abs/2403.14668 (2024) - [i15]Jionghao Lin, Eason Chen, Zeifei Han, Ashish Gurung, Danielle R. Thomas, Wei Tan, Ngoc Dang Nguyen, Kenneth R. Koedinger:
How Can I Improve? Using GPT to Highlight the Desired and Undesired Parts of Open-ended Responses. CoRR abs/2405.00291 (2024) - [i14]Jionghao Lin, Zifei FeiFei Han, Danielle R. Thomas, Ashish Gurung, Shivang Gupta, Vincent Aleven, Kenneth R. Koedinger:
How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses. CoRR abs/2405.00970 (2024) - [i13]Liang Zhang, Jionghao Lin, Ziyi Kuang, Sheng Xu, Mohammed Yeasin, Xiangen Hu
SPL: A Socratic Playground for Learning Powered by Large Language Model. CoRR abs/2406.13919 (2024) - [i12]Jiarui Rao, Jionghao Lin:
RAMO: Retrieval-Augmented Generation for Enhancing MOOCs Recommendations. CoRR abs/2407.04925 (2024) - [i11]Eason Chen, Jia-En Lee, Jionghao Lin, Kenneth R. Koedinger:
GPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation. CoRR abs/2407.09484 (2024) - [i10]Liang Zhang, Mohammed Yeasin, Jionghao Lin
Generative Adversarial Networks for Imputing Sparse Learning Performance. CoRR abs/2407.18875 (2024) - [i9]Liang Zhang, Jionghao Lin, John Sabatini, Conrad Borchers, Daniel Weitekamp, Meng Cao, John Hollander, Xiangen Hu, Arthur C. Graesser:
Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI. CoRR abs/2409.15631 (2024) - 2023
- [j5]Yuheng Li
Can large language models write reflectively. Comput. Educ. Artif. Intell. 4: 100140 (2023) - [j4]Xieling Chen, Di Zou
Exploring contributors, collaborations, and research topics in educational technology: A joint analysis of mainstream conferences. Educ. Inf. Technol. 28(2): 1323-1358 (2023) - [j3]Lele Sha
Is the Latest the Greatest? A Comparative Study of Automatic Approaches for Classifying Educational Forum Posts. IEEE Trans. Learn. Technol. 16(3): 339-352 (2023) - [c12]Jionghao Lin, Danielle R. Thomas, Feifei Han, Shivang Gupta, Wei Tan, Ngoc Dang Nguyen, Kenneth R. Koedinger:
Using Large Language Models to Provide Explanatory Feedback to Human Tutors. Human-AI Math Tutoring@AIED 2023: 12-23 - [c11]Dollaya Hirunyasiri, Danielle R. Thomas, Jionghao Lin, Kenneth R. Koedinger, Vincent Aleven:
Comparative Analysis of GPT-4 and Human Graders in Evaluating Human Tutors Giving Praise to Students. Human-AI Math Tutoring@AIED 2023: 37-48 - [c10]Jionghao Lin, Wei Tan, Ngoc Dang Nguyen, David Lang, Lan Du, Wray L. Buntine
Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets. AIED 2023: 114-125 - [c9]Wei Tan, Jionghao Lin, David Lang, Guanliang Chen, Dragan Gasevic, Lan Du, Wray L. Buntine
Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification. AIED 2023: 176-188 - [c8]Wei Dai, Jionghao Lin
Can Large Language Models Provide Feedback to Students? A Case Study on ChatGPT. ICALT 2023: 323-325 - [c7]Tongguang Li
Do Learners Appreciate Adaptivity? An Epistemic Network Analysis of How Learners Perceive Adaptive Scaffolding. ICQE 2023: 3-17 - [c6]Jionghao Lin
Learner-centred Analytics of Feedback Content in Higher Education. LAK 2023: 100-110 - [e1]Danielle R. Thomas, Jionghao Lin, Kenneth R. Koedinger:
Proceedings of the Workshop "Towards the Future of AI-augmented Human Tutoring in Math Learning" co-located with The 24th International Conference on Artificial Intelligence in Education (AIED 2023), Tokyo, Japan, July 3, 2023. CEUR Workshop Proceedings 3491, CEUR-WS.org 2023 [contents] - [i8]Wei Tan
Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification. CoRR abs/2304.05578 (2023) - [i7]Jionghao Lin, Wei Tan
Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets. CoRR abs/2304.07499 (2023) - [i6]Jionghao Lin, Danielle R. Thomas, Feifei Han, Shivang Gupta, Wei Tan, Ngoc Dang Nguyen, Kenneth R. Koedinger:
Using Large Language Models to Provide Explanatory Feedback to Human Tutors. CoRR abs/2306.15498 (2023) - [i5]Dollaya Hirunyasiri, Danielle R. Thomas, Jionghao Lin, Kenneth R. Koedinger, Vincent Aleven:
Comparative Analysis of GPT-4 and Human Graders in Evaluating Praise Given to Students in Synthetic Dialogues. CoRR abs/2307.02018 (2023) - [i4]Cassie Chen Cao
AI Chatbots as Multi-Role Pedagogical Agents: Transforming Engagement in CS Education. CoRR abs/2308.03992 (2023) - [i3]Cassie Chen Cao, Zijian Ding, Gyeong-Geon Lee, Jiajun Jiao, Jionghao Lin, Xiaoming Zhai:
Elucidating STEM Concepts through Generative AI: A Multi-modal Exploration of Analogical Reasoning. CoRR abs/2308.10454 (2023) - [i2]Danielle R. Thomas, Jionghao Lin, Erin Gatz, Ashish Gurung, Shivang Gupta, Kole Norberg, Stephen E. Fancsali, Vincent Aleven, Lee G. Branstetter, Emma Brunskill, Kenneth R. Koedinger:
Improving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation. CoRR abs/2312.11274 (2023) - 2022
- [j2]Jionghao Lin
Is it a good move? Mining effective tutoring strategies from human-human tutorial dialogues. Future Gener. Comput. Syst. 127: 194-207 (2022) - [c5]Jionghao Lin
Exploring the Politeness of Instructional Strategies from Human-Human Online Tutoring Dialogues. LAK 2022: 282-293 - 2021
- [j1]Sharon L. Oviatt, Jionghao Lin
I Know What You Know: What Hand Movements Reveal about Domain Expertise. ACM Trans. Interact. Intell. Syst. 11(1): 4:1-4:26 (2021) - [c4]Florian 'Floyd' Mueller, Tim Dwyer, Sarah Goodwin
Data as Delight: Eating data. CHI 2021: 621:1-621:14 - 2020
- [b1]Jionghao Lin:
An Accurate and Explainable Multimodal Deep Fusion Network for Affect Recognition. Monash University, Australia, 2020 - [c3]Jionghao Lin
Investigating the Role of Politeness in Human-Human Online Tutoring. AIED (2) 2020: 174-179
2010 – 2019
- 2019
- [c2]Jionghao Lin
An Explainable Deep Fusion Network for Affect Recognition Using Physiological Signals. CIKM 2019: 2069-2072 - [c1]Abishek Sriramulu, Jionghao Lin
Dynamic Adaptive Gesturing Predicts Domain Expertise in Mathematics. ICMI 2019: 105-113 - 2018
- [i1]Jionghao Lin, Yiren Liu:
A Neural Network Based Explainable Recommender System. CoRR abs/1812.11740 (2018)
Coauthor Index
aka: Danielle Thomas
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last updated on 2024-10-31 21:09 CET by the dblp team
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