Overview

Educational assessment develops ways to measure learners’ knowledge, skills, progress, and learning needs, so results can support instruction, certification, and fair decisions. Common approaches include psychometric models such as item response theory, cognitive diagnosis, rubrics, and machine-learning or language-model systems for scoring responses, estimating item difficulty, and providing feedback. Current work also uses multimodal evidence, adaptive testing, and curriculum-aligned benchmarks, while testing whether tools generalize across learners, subjects, and task formats. A central challenge is ensuring that scores and feedback are valid, reliable, and fair; automated systems can help with structured tasks but still need careful evaluation and human oversight, especially when reasoning or context matters.

Latest papers

CardsList

151 papers15 papers in the last four weeks, up 67% on the four weeks before. 0.1% of all new papers.

  1. Are Agents Ready to Teach? A Multi-Stage Benchmark for Real-World Teaching Workflows

    May 14, 2026Zixin Chen, Peng Liu, Rui Sheng +6Intelligent Tutoring SystemsEducational Assessment

  2. K12-KGraph: A Curriculum-Aligned Knowledge Graph for Benchmarking and Training Educational LLMs

    May 10, 2026Hao Liang, Qihan Lin, Zhaoyang Han +5AI in EducationKnowledge Augmentation for Language Models

  3. Creating and Evaluating K-12 GenAI Assessment Graders Through Context Engineering

    May 8, 2026Zewei Tian, Alex Liu, Lief Esbenshade +6Educational AssessmentGenerative AI in Education

  4. From 0-Order Selection to 2-Order Judgment: Combinatorial Hardening Exposes Compositional Failures in Frontier LLMs

    May 8, 2026Hanmeng Liu, Shichao Weng, Xiulai Liu +3Logical ReasoningLLM Evaluation

  5. Counterargument for Critical Thinking as Judged by AI and Humans

    May 6, 2026Tosin Adewumi, Marcus Liwicki, Foteini Simistira Liwicki +3LLM-as-a-JudgeEducational Assessment

  6. Human-in-the-Loop Benchmarking of Heterogeneous LLMs for Automated Competency Assessment in Secondary Level Mathematics

    Apr 29, 2026Jatin Bhusal, Nancy Mahatha, Aayush Acharya +1LLM EvaluationEducational Assessment

  7. Your Students Don't Use LLMs Like You Wish They Did

    Apr 26, 2026Sebastian Kobler, Matthew Clemson, Angela Sun +1Educational AssessmentAI in Education

  8. Mathematical Modelling of Ethical AI Use in Higher Education: A Coordination Game Framework for Future-Facing Learning

    Apr 23, 2026Ndidi Bianca Ogbo, Zhao Song, Shatha Ghareeb +1Educational AssessmentGenerative AI in Education

  9. Cross-Dataset Bloom Question Classification: Supervised Models and Prompted LLMs

    Apr 22, 2026Abdolali Faraji, Mohammadreza Molavi, Zohreh Rasoulkhani +2LLM EvaluationEducational Assessment

  10. Catching The Correct Answer Trap: Characterising AI Tutor Blind Spots When Analysing Student Reasoning

    Apr 20, 2026Moiz Imran, Sahan BulathwelaIntelligent Tutoring SystemsEducational Assessment

  11. From Scoring to Explanations: Evaluating SHAP and LLM Rationales for Rubric-based Teaching Quality Assessment

    Apr 18, 2026Ivo Bueno, Babette Bühler, Philipp Stark +5Educational AssessmentShapley Value Attribution

  12. A Two-Stage, Object-Centric Deep Learning Framework for Robust Exam Cheating Detection

    Apr 17, 2026Van-Truong Le, Le-Khanh Nguyen, Trong-Doanh NguyenEducational Assessment

  13. Automatically Inferring Teachers' Geometric Content Knowledge: A Skills Based Approach

    Apr 15, 2026Ziv Fenigstein, Kobi Gal, Avi Segal +3Educational Assessment

  14. Use of AI Tools: Guidelines to Maintain Academic Integrity in Computing Colleges

    Apr 13, 2026Hatem M. El-boghdadi, Toqeer Ali Syed, Ali Akarma +1Academic IntegrityGenerative AI in Education

  15. Generating Multiple-Choice Knowledge Questions with Interpretable Difficulty Estimation using Knowledge Graphs and Large Language Models

    Apr 12, 2026Mehmet Can Şakiroğlu, H. Altay Güvenir, Kamer KayaMultiple-Choice Question GenerationAutomated Test Generation

  16. LLM-Based Data Generation and Clinical Skills Evaluation for Low-Resource French OSCEs

    Apr 9, 2026Tian Huang, Tom Bourgeade, Irina IllinaEducational AssessmentClinical Language Model Evaluation

  17. Chatbot-Based Assessment of Code Understanding in Automated Programming Assessment Systems

    Apr 8, 2026Eduard Frankford, Erik Cikalleshi, Ruth BreuEducational AssessmentAutomated Evaluation

  18. Embedding Enhancement via Fine-Tuned Language Models for Learner-Item Cognitive Modeling

    Apr 5, 2026Yuanhao Liu, Zihan Zhou, Kaiying Wu +5Cognitive Diagnostic ModelsComputerized Adaptive Testing

  19. A CEFR-Inspired Classification Framework with Fuzzy C-Means To Automate Assessment of Programming Skills in Scratch

    Apr 1, 2026Ricardo Hidalgo-Aragón, Jesús M. González-Barahona, Gregorio RoblesEducational AssessmentProgramming Education

  20. REFINE: Real-world Exploration of Interactive Feedback and Student Behaviour

    Mar 31, 2026Fares Fawzi, Seyed Parsa Neshaei, Marta Knezevic +2Educational Feedback GenerationGenerative AI in Education

  21. Multimodal Analytics of Cybersecurity Crisis Preparation Exercises: What Predicts Success?

    Mar 30, 2026Conrad Borchers, Valdemar Švábenský, Sandesh K. Kafle +2Educational Assessment

  22. A Framework for Human-AI Q-Matrix Refinement: A NeuralCDM Evaluation

    Mar 30, 2026Ying Zhang, Ningxi Cheng, Yizhu Gao +5Cognitive Diagnostic ModelsEducational Assessment

  23. Understanding Teacher Revisions of Large Language Model-Generated Feedback

    Mar 29, 2026Conrad Borchers, Luiz Rodrigues, Newarney Torrezão da Costa +2AI in EducationGenerative AI in Education