Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models | Paper Citation Record

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This paper cites In: Griffin, P., Care, E.

Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models In: Griffin, P., Care, E

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This paper cites In- ternational Journal of Computer-Supported Collaborative Learning (2024).

Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models In- ternational Journal of Computer-Supported Collaborative Learning (2024)

Reference 2

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This paper cites Artif Intell Rev43(2), 155–177 (2015).

Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models Artif Intell Rev43(2), 155–177 (2015)

Reference 3

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This paper cites In: International Conference on Artificial Intelligence in Education.

Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models In: International Conference on Artificial Intelligence in Education

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Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models In: LAK23: 13th Interna- tional Learning Analytics and Knowledge Conference

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This paper cites Telematics and Informatics 91, 102135 (2024).

Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models Telematics and Informatics 91, 102135 (2024)

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This paper cites British Journal of Educational Technology 00, 1–20 (2024).

Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models British Journal of Educational Technology 00, 1–20 (2024)

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This paper cites British Journal of Educational Technology 51(5), 1441–1449 (2020).

Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models British Journal of Educational Technology 51(5), 1441–1449 (2020)

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This paper cites Computers & Education 116, 93–109 (2018).

Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models Computers & Education 116, 93–109 (2018)

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This paper cites In: Burstein, J., Doran, C., Solorio, T.

Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models In: Burstein, J., Doran, C., Solorio, T

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Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models 1–19 (1999)

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This paper cites User Modeling and User-Adapted Inter- action pp.

Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models User Modeling and User-Adapted Inter- action pp

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This paper cites In: Proceedings of the 21st ACM International Conference on Mul- timedia.

Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models In: Proceedings of the 21st ACM International Conference on Mul- timedia

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This paper cites Springer Science & Business Media6 (2007).

Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models Springer Science & Business Media6 (2007)

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This paper cites Engineering Applications of Artificial Intelligence115, 105151 (Oct 2022).

Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models Engineering Applications of Artificial Intelligence115, 105151 (Oct 2022)

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This paper cites International Journal of Information Management 48, 108–119 (2019).

Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models International Journal of Information Management 48, 108–119 (2019)

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This paper cites Psychological Science in the Public Interest 19(2), 59—-92 (2018).

Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models Psychological Science in the Public Interest 19(2), 59—-92 (2018)

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This paper cites In: Von, Davier, A.A., Zhu, M., Kyllonen, P.C.

Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models In: Von, Davier, A.A., Zhu, M., Kyllonen, P.C

Reference 19

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Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models Organizational Behavior and Human Decision Processes (1996)

Reference 20

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This paper cites In: Griffin, P., Care, E.

Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models In: Griffin, P., Care, E

Reference 21

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Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models IEEE Access8, 77060–77072 (2020)

Reference 22

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Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models Cognition and emotion (1989)

Reference 23

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Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models Sci- entific Reports 14(5515) (2024)

Reference 24

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Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models In: von Davier, A.A., Zhu, M., Kyllonen, P.C

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Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models IEEE Access 9, 7107–7126 (2021)

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Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models In: Proceedings of the 15th Learning Analytics and Knowledge Conference

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Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models In: 2011 IEEE International Conference on Automatic Face & Gesture Recognition (FG)

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Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models In: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models Has LLM Reached the Scaling Ceiling Yet? Unified Insights into LLM Regularities and Constraints

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Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models Handbook of Educational Psychology pp

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Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models In: Zitouni, I

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Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models Sensors20(23), 6856 (2020)

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Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models In: 2023 32nd IEEE International Conference on Robot and Human Interactive Communication

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Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models OECD Pub- lishing, Paris (2017), https://doi.org/10.1787/9789264281820-en

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Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models PISA, OECD Publishing, Paris (2017)

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Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models In: Ifenthaler, D., Pirnay- Dummer, P., Seel, N.M

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Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models In: Patrick, G., Barry, M., Esther, C

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Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models In: Proceedings of the 14th International Conference on Educational Data Mining, EDM 2021

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Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models Scientific Reports 14(1), 6086 (Mar 2024)

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Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models Computers & Education175, 104313 (2021)

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Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models Speech Communication pp

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Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models Journal of Big Data8 (2021)

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Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models IEEE Access 12, 143177–143192 (2024)

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Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models Journal of Computer Assisted Learning 34(4), 366–377 (2018)

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Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models User Modeling and User-Adapted Interaction 31(4), 713–751 (2021)

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Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models In: Proceedings of the ACM on Human- Computer Interaction

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Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models Computers and Education 143 (2020)

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Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models Journal of Learning Analytics8(1), 75–94 (2021-04-09)

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Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models In: Hovy, D., Spruit, S., Mitchell, M., Bender, E.M., Strube, M., Wallach, H

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Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models In: ACM Learning Analytics & Knowledge conference (LAK’24)

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This paper cites Radiology: Artificial Intelligence 4(4), e220007 (2022).

Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models Radiology: Artificial Intelligence 4(4), e220007 (2022)

Reference 55

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Observation d407066d-fab1-43df-a5a7-b418e744e369 · outbound

This paper cites In: Proceedings of the 30th ACM International Conference on Information & Knowledge Manage- ment.

Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models In: Proceedings of the 30th ACM International Conference on Information & Knowledge Manage- ment

Reference 56

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Unavailable: canonical work link unavailable.

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Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:35:56.154285Z

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Observation 28739270-e7e1-4c86-86b8-3cbf88684dbc · outbound

This paper cites In: ACM Learning Ana- lytics & Knowledge conference (LAK’20).

Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models In: ACM Learning Ana- lytics & Knowledge conference (LAK’20)

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-16T11:35:54.692283Z

Source-reported events for the cited work

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Observation 42de581a-362d-4bb7-9061-692d34f1945b · outbound

This paper cites In: 2008 IEEE International Conference on Sys- tems, Man and Cybernetics.

Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models In: 2008 IEEE International Conference on Sys- tems, Man and Cybernetics

Reference 59

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Observation 66095e25-3d2d-4c9c-8d5b-d0e2146786b1 · outbound

This paper cites British Journal of Educational Technology 55(4), 1673–1702 (2024).

Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models British Journal of Educational Technology 55(4), 1673–1702 (2024)

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-16T11:35:54.702924Z

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Unavailable: canonical work link unavailable.

Observation fdb34a22-2cd7-4d2a-b147-e47a7beda379 · outbound

This paper cites Education and Information Technologies29, 1071– 1098 (2024).

Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models Education and Information Technologies29, 1071– 1098 (2024)

Reference 61

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Observation 83541bdd-6765-46d2-98af-f89179148967 · outbound

This paper cites https://doi.org/10.1145/3636555.3636913, https://dl.acm.org/doi/10.1145/3636555.3636913.

Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models https://doi.org/10.1145/3636555.3636913, https://dl.acm.org/doi/10.1145/3636555.3636913

Reference 562

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers