Cover Image

How well do Large Language Models Recognize Instructional Moves? Establishing Baselines for Foundation Models in Educational Discourse

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Vanacore, Kirk, Kizilcec, Rene F.
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Tutor Move Taxonomy: A Theory-Aligned Framework for Analyzing Instructional Moves in Tutoring
by: Zhou, Zhuqian, et al.
Published: (2026)

LLM Reasoning Predicts When Models Are Right: Evidence from Coding Classroom Discourse
by: Ahtisham, Bakhtawar, et al.
Published: (2026)

Domain-Adapted Retrieval for In-Context Annotation of Pedagogical Dialogue Acts
by: Lee, Jinsook, et al.
Published: (2026)

Optimizing LLM Annotation of Classroom Discourse through Multi-Agent Orchestration
by: Ahtisham, Bakhtawar, et al.
Published: (2026)

Sandpiper: Orchestrated AI-Annotation for Educational Discourse at Scale
by: Hedley, Daryl, et al.
Published: (2026)

Codebook-Injected Dialogue Segmentation for Multi-Utterance Constructs Annotation: LLM-Assisted and Gold-Label-Free Evaluation
by: Lee, Jinsook, et al.
Published: (2026)

The Life Cycle of Large Language Models: A Review of Biases in Education
by: Lee, Jinsook, et al.
Published: (2024)

Cultural Bias and Cultural Alignment of Large Language Models
by: Tao, Yan, et al.
Published: (2023)

Poor Alignment and Steerability of Large Language Models: Evidence from College Admission Essays
by: Lee, Jinsook, et al.
Published: (2025)

Utility-Preserving De-Identification for Math Tutoring: Investigating Numeric Ambiguity in the MathEd-PII Benchmark Dataset
by: Zhou, Zhuqian, et al.
Published: (2026)

Modernizing Ground Truth: Four Shifts Toward Improving Reliability and Validity in AI in Education
by: Thomas, Danielle R., et al.
Published: (2026)

"Don't Forget the Teachers": Towards an Educator-Centered Understanding of Harms from Large Language Models in Education
by: Harvey, Emma, et al.
Published: (2025)

Recognizing Limits: Investigating Infeasibility in Large Language Models
by: Zhang, Wenbo, et al.
Published: (2024)

From Words to Wisdom: Discourse Annotation and Baseline Models for Student Dialogue Understanding
by: Mim, Farjana Sultana, et al.
Published: (2025)

Cultural Adaptation in Large Language Models for Political Discourse
by: Zaghouani, Wajdi
Published: (2026)

Recognizing Emotion Regulation Strategies from Human Behavior with Large Language Models
by: Müller, Philipp, et al.
Published: (2024)

Resilience of Large Language Models for Noisy Instructions
by: Wang, Bin, et al.
Published: (2024)

Can Language Models Recognize Convincing Arguments?
by: Rescala, Paula, et al.
Published: (2024)

Million Tutoring Moves (MTM): An Open Multimodal Dataset for the Science of Tutoring
by: Kizilcec, René, et al.
Published: (2026)

Does the TalkMoves Codebook Generalize to One-on-One Tutoring and Multimodal Interaction?
by: Focsan, Corina Luca, et al.
Published: (2026)

Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models
by: Hayati, Shirley Anugrah, et al.
Published: (2024)

Digital Diagnostics: The Potential Of Large Language Models In Recognizing Symptoms Of Common Illnesses
by: Gupta, Gaurav Kumar, et al.
Published: (2024)

Leveraging Large Language Models for Knowledge-free Weak Supervision in Clinical Natural Language Processing
by: Hsu, Enshuo, et al.
Published: (2024)

Establishing Vocabulary Tests as a Benchmark for Evaluating Large Language Models
by: Martínez, Gonzalo, et al.
Published: (2023)

Large Language Models' Varying Accuracy in Recognizing Risk-Promoting and Health-Supporting Sentiments in Public Health Discourse: The Cases of HPV Vaccination and Heated Tobacco Products
by: Kim, Soojong, et al.
Published: (2025)

Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges
by: Li, Qingyao, et al.
Published: (2023)

Instruction-Following Pruning for Large Language Models
by: Hou, Bairu, et al.
Published: (2025)

Cross-lingual Collapse: How Language-Centric Foundation Models Shape Reasoning in Large Language Models
by: Park, Cheonbok, et al.
Published: (2025)

Large Language Models are Zero-Shot Recognizers for Activities of Daily Living
by: Civitarese, Gabriele, et al.
Published: (2024)

Discursive Circuits: How Do Language Models Understand Discourse Relations?
by: Miao, Yisong, et al.
Published: (2025)

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring?
by: Yang, Kaixun, et al.
Published: (2025)

Establishing Knowledge Preference in Language Models
by: Zhou, Sizhe, et al.
Published: (2024)

Does "Reasoning" with Large Language Models Improve Recognizing, Generating, and Reframing Unhelpful Thoughts?
by: Qi, Yilin, et al.
Published: (2025)

Opportunities for Large Language Models and Discourse in Engineering Design
by: Göpfert, Jan, et al.
Published: (2023)

Discourse Graph Guided Document Translation with Large Language Models
by: Pham, Viet-Thanh, et al.
Published: (2025)

Towards an Analysis of Discourse and Interactional Pragmatic Reasoning Capabilities of Large Language Models
by: Robrecht, Amelie, et al.
Published: (2024)

Stronger Baselines for Retrieval-Augmented Generation with Long-Context Language Models
by: Laitenberger, Alex, et al.
Published: (2025)

An Evaluation on Large Language Model Outputs: Discourse and Memorization
by: de Wynter, Adrian, et al.
Published: (2023)

Fine-tuning Large Language Models with Sequential Instructions
by: Hu, Hanxu, et al.
Published: (2024)

Patches of Nonlinearity: Instruction Vectors in Large Language Models
by: Bigoulaeva, Irina, et al.
Published: (2026)