@inproceedings{hamalainen-leiviska-2025-nlg,
title = "From {NLG} Evaluation to Modern Student Assessment in the Era of {C}hat{GPT}: The Great Misalignment Problem and Pedagogical Multi-Factor Assessment ({P}-{MFA})",
author = {H{\"a}m{\"a}l{\"a}inen, Mika and
Leivisk{\"a}, Kimmo Leivisk{\"a}},
editor = {H{\"a}m{\"a}l{\"a}inen, Mika and
Rie{\ss}ler, Michael and
Morooka, Eiaki V. and
Kharlashkin, Lev},
booktitle = "Proceedings of the 10th International Workshop on Computational Linguistics for Uralic Languages",
month = dec,
year = "2025",
address = "Joensuu, Finland",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.iwclul-1.1/",
pages = "1--5",
ISBN = "979-8-89176-360-9",
abstract = "This paper explores the growing epistemic parallel between NLG evaluation and grading of students in a Finnish University. We argue that both domains are experiencing a Great Misalignment Problem. As students increasingly use tools like ChatGPT to produce sophisticated outputs, traditional assessment methods that focus on final products rather than learning processes have lost their validity. To address this, we introduce the Pedagogical Multi-Factor Assessment (P-MFA) model, a process-based, multi-evidence framework inspired by the logic of multi-factor authentication."
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%0 Conference Proceedings
%T From NLG Evaluation to Modern Student Assessment in the Era of ChatGPT: The Great Misalignment Problem and Pedagogical Multi-Factor Assessment (P-MFA)
%A Hämäläinen, Mika
%A Leiviskä, Kimmo Leiviskä
%Y Hämäläinen, Mika
%Y Rießler, Michael
%Y Morooka, Eiaki V.
%Y Kharlashkin, Lev
%S Proceedings of the 10th International Workshop on Computational Linguistics for Uralic Languages
%D 2025
%8 December
%I Association for Computational Linguistics
%C Joensuu, Finland
%@ 979-8-89176-360-9
%F hamalainen-leiviska-2025-nlg
%X This paper explores the growing epistemic parallel between NLG evaluation and grading of students in a Finnish University. We argue that both domains are experiencing a Great Misalignment Problem. As students increasingly use tools like ChatGPT to produce sophisticated outputs, traditional assessment methods that focus on final products rather than learning processes have lost their validity. To address this, we introduce the Pedagogical Multi-Factor Assessment (P-MFA) model, a process-based, multi-evidence framework inspired by the logic of multi-factor authentication.
%U https://aclanthology.org/2025.iwclul-1.1/
%P 1-5
Markdown (Informal)
[From NLG Evaluation to Modern Student Assessment in the Era of ChatGPT: The Great Misalignment Problem and Pedagogical Multi-Factor Assessment (P-MFA)](https://aclanthology.org/2025.iwclul-1.1/) (Hämäläinen & Leiviskä, IWCLUL 2025)
ACL