Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses | Paper Citation Record

Observation b374fb50-8656-4277-bdf4-8e1e1995a044 · outbound

This paper cites Becoming a teacher: Student teachers’ experiences and perceptions about teaching practice.European journal of teacher education, 35(2):163–178, 2012.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Becoming a teacher: Student teachers’ experiences and perceptions about teaching practice.European journal of teacher education, 35(2):163–178, 2012

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:02:42.846133Z

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Observation 52fb8475-ebfb-42ca-98f7-ccd8896013ce · outbound

This paper cites A survey on evaluation of large language models.ACM Transactions on Intelligent Systems and Technology, 15(3):1–45, 2024.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses A survey on evaluation of large language models.ACM Transactions on Intelligent Systems and Technology, 15(3):1–45, 2024

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Resolution: unresolved; no resolver link, observed 2026-08-04T21:02:41.651003Z

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Observation 979b5014-9090-42d2-ab05-0ad606152c3f · outbound

This paper cites When large language models meet personalization: Perspectives of challenges and opportunities.World Wide Web, 27(4):42, 2024.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses When large language models meet personalization: Perspectives of challenges and opportunities.World Wide Web, 27(4):42, 2024

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T21:02:41.655106Z

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Observation 04a882f6-5f59-4b8a-949d-ade1d93afd64 · outbound

This paper cites Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T21:02:41.659555Z

Source-reported events for the cited work

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Observation cc74fce4-7f43-4906-a197-e9fa493761d0 · outbound

This paper cites https://www.intelligent.com/one-third-of-college-students-used-chatgpt-for-schoolwork-during-the-2022-23-academic-year/ ,.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses https://www.intelligent.com/one-third-of-college-students-used-chatgpt-for-schoolwork-during-the-2022-23-academic-year/ ,

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:02:42.813546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 96396b17-6829-4ea2-bc11-bac05b35507f · outbound

This paper cites Students’ voices on generative ai: Perceptions, benefits, and challenges in higher education.International Journal of Educational Technology in Higher Education, 20(1):43, 2023.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Students’ voices on generative ai: Perceptions, benefits, and challenges in higher education.International Journal of Educational Technology in Higher Education, 20(1):43, 2023

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:02:42.790277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4f4f3d7b-f1b6-4651-828f-b1a9c484482e · outbound

This paper cites Student perspectives on using a large language model (llm) for an assignment on professional ethics.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Student perspectives on using a large language model (llm) for an assignment on professional ethics

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:02:42.776639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1d4f5139-89a4-423e-a572-2ad4f5dce372 · outbound

This paper cites Chatgpt has entered the classroom: how llms could transform education.Nature, 623(7987):474– 477, 2023.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Chatgpt has entered the classroom: how llms could transform education.Nature, 623(7987):474– 477, 2023

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:02:42.763185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 59cf3a8f-6b1a-47eb-9788-45c7d9325584 · outbound

This paper cites Large Language Models for Education: A Survey and Outlook.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Large Language Models for Education: A Survey and Outlook

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Resolution: unresolved; no resolver link, observed 2026-08-04T21:02:41.682979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7941acf3-67ca-4fe6-bece-1696e7723f5d · outbound

This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T21:02:41.687008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1263cd6-7e8c-4e44-b83d-d317908063a4 · outbound

This paper cites On assessing the faithfulness of llm-generated feedback on student assignments.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses On assessing the faithfulness of llm-generated feedback on student assignments

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:02:42.749677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f78e498f-f55c-4190-b13b-57e336de0cc0 · outbound

This paper cites Chatgpt.https://chatgpt.com/, 2024.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Chatgpt.https://chatgpt.com/, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:02:42.736285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2378ff8e-c653-4149-b2c3-3bdd03d5af07 · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Sparks of Artificial General Intelligence: Early experiments with GPT-4

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Resolution: unresolved; no resolver link, observed 2026-08-04T21:02:41.698766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df2f4aed-260e-4ef2-a123-0f4be97d83e4 · outbound

This paper cites Student-AI Interaction: A Case Study of CS1 students.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Student-AI Interaction: A Case Study of CS1 students

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Unavailable: canonical work link unavailable.

Observation 4538be96-86cd-4bc5-9bdc-11ed625ad417 · outbound

This paper cites Student interaction with newtbot: An llm-as-tutor chatbot for secondary physics education.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Student interaction with newtbot: An llm-as-tutor chatbot for secondary physics education

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:02:42.723032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 074da2fc-6600-458a-82a2-7b293dab8dd0 · outbound

This paper cites The life cycle of large language models in education: A framework for understanding sources of bias.British Journal of Educational Technology, 55(5):1982–2002, 2024.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses The life cycle of large language models in education: A framework for understanding sources of bias.British Journal of Educational Technology, 55(5):1982–2002, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:02:42.707667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 84529cb5-c9b5-4193-bff3-32c697d1f093 · outbound

This paper cites Phases of inquiry-based learning: Definitions and the inquiry cycle.Educational research review, 14:47–61, 2015.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Phases of inquiry-based learning: Definitions and the inquiry cycle.Educational research review, 14:47–61, 2015

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:02:42.693211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 394c8e7d-b38b-4fd2-bcf9-c296a2d0a4b7 · outbound

This paper cites The effect of inquiry-based learning method on students’ academic achievement in science course.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses The effect of inquiry-based learning method on students’ academic achievement in science course

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:02:42.679541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5130df70-d399-47f4-875c-8c400ae61801 · outbound

This paper cites A Complete Survey on LLM-based AI Chatbots.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses A Complete Survey on LLM-based AI Chatbots

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Unavailable: canonical work link unavailable.

Observation 924cba06-7ac0-4769-82e6-46a0ddb151be · outbound

This paper cites Chat gpt in supporting education instruction sector: an empirical literature review.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Chat gpt in supporting education instruction sector: an empirical literature review

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:02:42.666845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 77b024d7-c1e0-48c5-af2a-221554a2fb1a · outbound

This paper cites Claude.https://www.anthropic.com/, 2024.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Claude.https://www.anthropic.com/, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:02:42.653243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c442ac7c-b10b-42d0-86d8-f57d5d7395d3 · outbound

This paper cites A Survey on Retrieval-Augmented Text Generation.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses A Survey on Retrieval-Augmented Text Generation

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Source-reported events for the cited work

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Observation 76577c91-ee58-4b25-9476-6064c00d3e3f · outbound

This paper cites Retrieval-augmented generation for knowledge- intensive nlp tasks.Advances in Neural Information Processing Systems, 33:9459–9474, 2020.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Retrieval-augmented generation for knowledge- intensive nlp tasks.Advances in Neural Information Processing Systems, 33:9459–9474, 2020

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Resolution: unresolved; no resolver link, observed 2026-08-04T21:02:41.735518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43bb3331-99a4-4ad3-8edf-aba93b582e36 · outbound

This paper cites an unresolved cited work.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Unresolved cited work

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fb5502cb-765a-4603-beb7-ae24438fd0ce · outbound

This paper cites Search engine guided neural machine translation.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Search engine guided neural machine translation

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8d5a853a-9934-4fff-a512-04f1e975af38 · outbound

This paper cites Teaching cs50 with ai: leveraging generative artificial intelligence in computer science education.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Teaching cs50 with ai: leveraging generative artificial intelligence in computer science education

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4aa0f357-df1f-4f44-8f10-2c13d629b2eb · outbound

This paper cites Large language models in education: A focus on the complementary relationship between human teachers and chatgpt.Education and Information Technologies, 28(12):15873–15892, 2023.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Large language models in education: A focus on the complementary relationship between human teachers and chatgpt.Education and Information Technologies, 28(12):15873–15892, 2023

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9a2207ac-6641-4726-aaff-4cd7ec365ec5 · outbound

This paper cites Chatgpt for good? on opportunities and challenges of large language models for education.Learning and individual differences, 103:102274, 2023.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Chatgpt for good? on opportunities and challenges of large language models for education.Learning and individual differences, 103:102274, 2023

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Resolution: unresolved; no resolver link, observed 2026-08-04T21:02:41.753307Z

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Observation 7aed9adf-3b88-4cd7-904c-46fa786fa3f3 · outbound

This paper cites Chatgpt user experience: Implications for education.Available at SSRN 4312418, 2022.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Chatgpt user experience: Implications for education.Available at SSRN 4312418, 2022

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:02:42.567572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6f27f6b1-2b9d-466c-98a5-428e788d3373 · outbound

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Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Artificial intelligence and the future of teaching and learning

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8f5f20f7-0d3b-43bf-9000-b7dd859c3af9 · outbound

This paper cites Oatutor: An open-source adaptive tutoring system and curated content library for learning sciences research.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Oatutor: An open-source adaptive tutoring system and curated content library for learning sciences research

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e9cee413-e6fc-46c1-b131-db6cea4fb36e · outbound

This paper cites CodeAid: Evaluating a Classroom Deployment of an LLM-based Programming Assistant that Balances Student and Educator Needs.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses CodeAid: Evaluating a Classroom Deployment of an LLM-based Programming Assistant that Balances Student and Educator Needs

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Resolution: unresolved; no resolver link, observed 2026-08-04T21:02:41.767748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1c31d1f-e821-4a15-ab1a-c4aff31c6548 · outbound

This paper cites Jill watson doesn’t care if you’re pregnant: Grounding ai ethics in empirical studies.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Jill watson doesn’t care if you’re pregnant: Grounding ai ethics in empirical studies

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:02:42.526413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6676e739-f87b-4281-a8a5-304172e28c47 · outbound

This paper cites How Do Students Interact with an LLM-powered Virtual Teaching Assistant in Different Educational Settings?.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses How Do Students Interact with an LLM-powered Virtual Teaching Assistant in Different Educational Settings?

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 68c38570-6268-4264-b30c-98633a556dd2 · outbound

This paper cites EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01f4d410-e9bf-4214-a34e-171fbf9b909d · outbound

This paper cites Hita: A rag-based educational platform that centers educators in the instructional loop.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Hita: A rag-based educational platform that centers educators in the instructional loop

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:02:42.512645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a40e52f2-8aec-43a8-bd7b-84d445bfea6a · outbound

This paper cites Understanding student engagement with large language model-powered course assistants.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Understanding student engagement with large language model-powered course assistants

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8cdb4707-589a-473b-ba7c-15309577ce5b · outbound

This paper cites Automatic generation of programming exercises and code explanations using large language models.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Automatic generation of programming exercises and code explanations using large language models

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:02:42.485158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 99c156ec-354b-4c6f-b4f4-389146bb484e · outbound

This paper cites Assessing the efficacy of large language models in generating accurate teacher responses.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Assessing the efficacy of large language models in generating accurate teacher responses

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Resolution: verified exact; local_arxiv, observed 2026-08-04T21:02:42.053259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 84e25f02-14ee-40c1-972b-6760859adb72 · outbound

This paper cites How Novices Use LLM-Based Code Generators to Solve CS1 Coding Tasks in a Self-Paced Learning Environment.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses How Novices Use LLM-Based Code Generators to Solve CS1 Coding Tasks in a Self-Paced Learning Environment

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Resolution: unresolved; no resolver link, observed 2026-08-04T21:02:41.797589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3959992e-3615-49a9-86f3-c9e5bddece4f · outbound

This paper cites LLMs are Biased Teachers: Evaluating LLM Bias in Personalized Education.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses LLMs are Biased Teachers: Evaluating LLM Bias in Personalized Education

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Resolution: unresolved; no resolver link, observed 2026-08-04T21:02:41.801247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 213ac605-e995-4f45-bd60-fc2fa2425698 · outbound

This paper cites Leveraging large language models to power chatbots for collecting user self-reported data.Proceedings of the ACM on Human-Computer Interaction, 8(CSCW1):1–35, 2024.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Leveraging large language models to power chatbots for collecting user self-reported data.Proceedings of the ACM on Human-Computer Interaction, 8(CSCW1):1–35, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:02:42.471733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ca78b24e-2e53-47eb-bfd4-4092ee7edacf · outbound

This paper cites Significant productivity gains through programming with large language models.Proceedings of the ACM on Human-Computer Interaction, 8(EICS):1–29, 2024.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Significant productivity gains through programming with large language models.Proceedings of the ACM on Human-Computer Interaction, 8(EICS):1–29, 2024

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Resolution: unresolved; no resolver link, observed 2026-08-04T21:02:41.809063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7904a0c4-ebc8-4c34-a4d4-f80b253e7f23 · outbound

This paper cites Is a seat at the table enough? engaging teachers and students in dataset specification for ml in education.Proceedings of the ACM on Human-Computer Interaction, 8(CSCW1):1–32, 2024.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Is a seat at the table enough? engaging teachers and students in dataset specification for ml in education.Proceedings of the ACM on Human-Computer Interaction, 8(CSCW1):1–32, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:02:42.447949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7c956afc-2ecd-4456-92e7-77e0bda0dbfc · outbound

This paper cites it’s all about conversation.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses it’s all about conversation

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:02:42.434378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5d640f6a-34ef-4f5e-bb1b-37be3c6ec4c7 · outbound

This paper cites Characterizing student engagement moods for dropout prediction in question pool websites.Proc.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Characterizing student engagement moods for dropout prediction in question pool websites.Proc

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:02:42.420556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 846a5f9d-ef0e-4997-88bb-4f5fa57c1eb8 · outbound

This paper cites Using cipherbot: An exploratory analysis of student interaction with an llm-based educational chatbot.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Using cipherbot: An exploratory analysis of student interaction with an llm-based educational chatbot

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:02:42.406612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f6da1af0-e399-464d-a2aa-5db3131b487b · outbound

This paper cites Investigating interaction modes and user agency in human-llm collaboration for domain-specific data analysis.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Investigating interaction modes and user agency in human-llm collaboration for domain-specific data analysis

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:02:42.391221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f94448f5-97b0-4d7a-bc54-5981e8a08ea2 · outbound

This paper cites an unresolved cited work.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-04T21:02:42.378070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cd97f31d-4590-4f5f-b766-f73b2405c25f · outbound

This paper cites GPT-4 Technical Report.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses GPT-4 Technical Report

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-04T21:02:41.833440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c7fb973-f50c-46a2-860e-35c00cc06cf6 · outbound

This paper cites an unresolved cited work.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-04T21:02:42.364312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 215b2a96-91ab-4c61-97e7-dc9ea59eeb2f · outbound

This paper cites Pearson Education India, 2010.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Pearson Education India, 2010

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:02:42.351189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1e32caaa-55ed-40a4-8403-2d27d94f396e · outbound

This paper cites Text-embedding-ada-002.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Text-embedding-ada-002

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:02:42.337534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b8ec6f83-ca93-47c1-9998-4049ea494771 · outbound

This paper cites Addison Wesley Longman, Inc., 2001.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Addison Wesley Longman, Inc., 2001

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-04T21:02:41.847730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb181fa9-9dc1-40cc-85e5-c347e6350196 · outbound

This paper cites Taxonomy of educational objectives, handbook i: the cognitive domain.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Taxonomy of educational objectives, handbook i: the cognitive domain

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:02:42.314083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7821e788-0c19-403f-8d1d-311a351f00c7 · outbound

This paper cites Table meets llm: Can large language models understand structured table data? a benchmark and empirical study.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Table meets llm: Can large language models understand structured table data? a benchmark and empirical study

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-04T21:02:41.856500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a820b19b-8af1-4fe6-9359-e35d637966c7 · outbound

This paper cites Evaluating Large Language Models on Graphs: Performance Insights and Comparative Analysis.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Evaluating Large Language Models on Graphs: Performance Insights and Comparative Analysis

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-04T21:02:41.860043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 472c8cfe-d2b1-4545-ae80-da61c394eecd · outbound

This paper cites Inquiry-based learning: A review of the research literature.Alberta Ministry of Education, 32:1–32, 2013.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Inquiry-based learning: A review of the research literature.Alberta Ministry of Education, 32:1–32, 2013

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:02:42.291599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5b5cdbc7-d315-41cc-8edf-5c07501cb38e · outbound

This paper cites GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-04T21:02:41.867858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fac753d2-d1ab-4f2a-ae8a-9f75b1094054 · outbound

This paper cites Logicbench: Towards systematic evaluation of logical reasoning ability of large language models.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Logicbench: Towards systematic evaluation of logical reasoning ability of large language models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-04T21:02:41.872116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c8184b4-1694-46f7-86e3-3d62280d12bd · outbound

This paper cites Mindful-RAG: A Study of Points of Failure in Retrieval Augmented Generation.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Mindful-RAG: A Study of Points of Failure in Retrieval Augmented Generation

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-04T21:02:41.875593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 957ef3d2-6a08-450f-b93f-ea8c968fd20a · outbound

This paper cites Ragas: Automated Evaluation of Retrieval Augmented Generation.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Ragas: Automated Evaluation of Retrieval Augmented Generation

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-04T21:02:41.879204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de187e30-386b-45a4-af1c-3775d707bbd8 · outbound

This paper cites Hallucination is Inevitable: An Innate Limitation of Large Language Models.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Hallucination is Inevitable: An Innate Limitation of Large Language Models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-04T21:02:41.882949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85cf3c39-71da-4089-a6a8-22745393b6b3 · outbound

This paper cites an unresolved cited work.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-04T21:02:42.267986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 06746ae6-97e7-4b03-a859-58b152a13b87 · outbound

This paper cites Kizilcec, and Allison Koenecke.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Kizilcec, and Allison Koenecke

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:02:42.253724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dcaa5561-8c79-40aa-9a59-4ced95b7d962 · outbound

This paper cites Towards an educator-centered method for measuring bias in large language model-based chatbot tutors.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Towards an educator-centered method for measuring bias in large language model-based chatbot tutors

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:02:42.239503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5e33d0f6-36e3-42bc-9c16-b71f5081f6e4 · outbound

This paper cites don’t forget the teachers.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses don’t forget the teachers

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:02:42.225617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bb860cf9-3287-40c5-9b4c-cee3a23ad284 · outbound

This paper cites To advance ai use in education, focus on understanding educators.International Journal of Artificial Intelligence in Education, 34(1):12–19, 2024.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses To advance ai use in education, focus on understanding educators.International Journal of Artificial Intelligence in Education, 34(1):12–19, 2024

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:02:42.211457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dba18f58-8b87-4b68-9774-16ef68823984 · outbound

This paper cites an unresolved cited work.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Unresolved cited work

Reference 2023

Resolution: parse uncertain; no resolver link, observed 2026-08-04T21:02:41.667735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers