Student Assessment and Feedback

Neueste Paper

• Scaling Peer Assessments: An Integrity Report from a Large Engineering Internship

  Jinal Gupta, Pavani Ayinampudi, Aditya B. M. V., Prakash Hegade, Rohit Sharma, Sakshi Sharma, Meenakshi V, S. R. S. Iyengar · 2. Oktober 2026

  Assessing learning in large classrooms presents a significant challenge for individual instructors, who may have limited capacity to evaluate the understanding, participation, and assessment behaviour of every student. Peer assessments have been a way of distributing this responsibility among learne…

• An Audit of Measurement Quality and Answer Bias in a Large Classroom-Poll Corpus

  Rohit Sharma, Pavani Ayinampudi, Aditya B. M. V., Jinal Gupta, Prakash Hegade, Sakshi Sharma, Meenakshi V, SRS Iyengar · 1. Oktober 2026

  Real-time classroom polls are widely used and increasingly generated with automated assistance, yet the questions themselves are rarely evaluated as measurements. We audit a large corpus of authentic classroom polls, 604 items across 47 sessions answered 340,668 times by 2,807 learners, as a measure…

• Grading Needs a Rubric, Not Intelligence

  Jhen-Ke Lin · 19. August 2026

  Small language models can grade open-ended examination answers as reliably as substantially more expensive models when they grade against an explicit rubric. We test this claim as the design principle behind any-to-bench: a frontier model reads source documents once, at ingestion, to extract each qu…

• Dynamic Evidence Collection Ecosystem for Assessment Integrity and Authentic Competence

  Rajan Kadel, Bellal Hossain, Samar Shailendra, Bushra Naeem · 18. August 2026

  Generative Artificial Intelligence (GenAI) can produce high-quality essays, code, and design artefacts, challenging the validity of conventional assessments that rely on single-point submissions and product-only grading. This paper proposes a design framework called "Dynamic Evidence Collection Ecos…

• The Effect of High-Frequency, Automatically-marked Formative Assessments on Student Outcomes in A-Level Sciences

  Matey Yordanov, Mikhail Bychkov, Andrei Kuchma · 28. Juli 2026

  Traditional human marking in upper-secondary STEM education creates a structural bottleneck that restricts the frequency of formative mock examinations. This quasi-experimental, mixed-methods longitudinal study (N = 142) investigates the efficacy of deploying a fully automated, handwritten assessmen…

• Students' Perceptions of Peer Grading

  Uchswas Paul, Jash Shah, Keira McArthur, Aref Babaei, Niranjan Rajendran, Parvez Rashid, Edward Gehringer · 21. Juli 2026

  Peer grading is widely used in education, yet it elicits mixed reactions from educators and students. Although many studies have examined students' views of peer grading, their findings are scattered, and no clear overall picture has emerged. To address this gap, we conducted a mixed-source thematic…

• Student Evaluation of Repeated AI Feedback Across a Semester of Writing

  Andres Karjus, Janika Leoste, Tiia \~Oun · 20. Juli 2026

  Generative AI is increasingly used for feedback in higher education, but evidence from repeated classroom use remains limited. This short paper analyses 2988 reflective essay-feedback-appraisal instances from 283 Estonian bachelor students across one semester. Students obtained and assessed feedback…

• SEFORA: Student Essays with Feedback Corpus and LLM Feedback Evaluation Framework

  Shayan Peyghambari Oskoui, Norah Almousa, Zhaoyi Joey Hou, Carolina Gustafson, Gayle Rogers, Raquel Coelho, Diane Litman, Xiang Lorraine Li · 2. Juli 2026

  Effective writing feedback is among the strongest drivers of student learning, yet producing it at scale is labor-intensive. LLMs offer a natural path to scaling writing support, but two gaps stand in the way: few public corpora capture how instructors actually deliver feedback in real classrooms, a…

• A Comparative Study of Student Perspectives on Technical Writing Feedback Quality: Evaluating LLMs, SLMs, and Humans in Computer Science Topics

  Suqing Liu, Runlong Ye, Christopher Eaton, Bogdan Simion, Michael Liut · 9. Juni 2026

  To address the scalability of feedback in computer science while mitigating the privacy and cost limitations of commercial Large Language Models (LLMs), this study evaluates a locally hosted Small Language Model (SLM). We deployed a quantized Llama-3.1, GPT-4, and human instructors across introducto…

• Hybrid E-Assessment in Higher Education: Semi-Automated Grading of Paper-Based Written Examinations

  Hartwig Grabowski, Michael Canz · 9. Juni 2026

  This paper examines the limitations of fully digital and partially digital e-assessment approaches in summative examinations in higher education. The analysis focuses on the didactic narrowing caused by closed question formats and on organizational, technical, and legal constraints that become parti…

• AICoFe: Implementation and Deployment of an AI-Based Collaborative Feedback System for Higher Education

  Alvaro Becerra, Alejandra Palma, Ruth Cobos · 7. Mai 2026

  Effective peer feedback is essential for developing critical reflection in higher education, yet its impact is often limited by the inconsistent quality of student-generated comments. This paper presents the implementation and deployment of AICoFe (AI-based Collaborative Feedback), a system designed…

• AISSA: Implementation and Deployment of an AI-based Student Slides Analysis tool for Academic Presentations

  Alvaro Becerra, Diego Gomez, Ruth Cobos · 7. Mai 2026

  Providing timely and actionable feedback on oral presentation slides is challenging in higher education, particularly in large classes where teachers cannot realistically deliver detailed formative feedback before students present. This paper introduces AISSA (AI-based Student Slides Analysis tool),…

• A Large-Scale Observational Study on Obtaining Lightweight, Randomized Weekly Student Feedback

  Yunsung Kim, Hansol Lee, Candace Thille, Chris Piech · 5. Mai 2026

  Conventional methods of obtaining student feedback on course experience face a fundamental tradeoff between feedback frequency and quality: as feedback requests become more frequent, participation often declines, and responses become less thoughtful over time. To obtain both timely and thoughtful fe…

• Evaluation of Large Language Models' educational feedback in Higher Education: potential, limitations and implications for educational practice

  Daniele Agostini, Federica Picasso · 4. Februar 2026

  The importance of managing feedback practices in higher education has been widely recognised, as they play a crucial role in enhancing teaching, learning, and assessment processes. In today's educational landscape, feedback practices are increasingly influenced by technological advancements, particu…

• A Comparative Study of Technical Writing Feedback Quality: Evaluating LLMs, SLMs, and Humans in Computer Science Topics

  Suqing Liu, Bogdan Simion, Christopher Eaton, Michael Liut · 21. Januar 2026

  Feedback is a critical component of the learning process, particularly in computer science education. This study investigates the quality of feedback generated by Large Language Models (LLMs), Small Language Models (SLMs), compared with human feedback, in three computer science course with technical…

• Exposía: Teaching and Assessment of Academic Writing Skills for Research Project Proposals and Peer Feedback

  Dennis Zyska, Alla Rozovskaya, Ilia Kuznetsov, Iryna Gurevych · 13. Januar 2026

  We present Exposía, the first public dataset that connects writing and feedback in higher education, enabling research on educationally grounded computational approaches to teaching and evaluating academic writing. Exposía includes student research project proposals and peer and instructor feedback …

• AI-Driven Grading and Moderation for Collaborative Projects in Computer Science Education

  Songmei Yu, Andrew Zagula · 8. Januar 2026

  Collaborative group projects are integral to computer science education, as they foster teamwork, problem-solving skills, and industry-relevant competencies. However, assessing individual contributions in group settings has long been challenging. Traditional assessment strategies, such as the equal …

• Hybrid Instructor Ai Assessment In Academic Projects: Efficiency, Equity, And Methodological Lessons

  Hugo Roger Paz · 28. Oktober 2025

  In technical subjects characterized by high enrollment, such as Basic Hydraulics, the assessment of reports necessitates superior levels of objectivity, consistency, and formative feedback; goals often compromised by faculty workload. This study presents the implementation of a generative artificial…