Reducing interpretative ambiguity in an educational environment with ChatGPT

F Garcia-Varela, Z Bekerman, M Nussbaum… - Computers & …, 2025 - Elsevier
The study posits that both concrete and abstract words are crucial for effective
communication, particularly in educational contexts where the interplay between these forms …

Using ChatGPT in University Academic Writing: A Bibliometric Review Study on the Implications for Writing Reports, Papers, Essays, and Theses

WAA Medina, CHF Velásquez, SRO Zegarra… - International Journal of …, 2024 - ijlter.net
The use of ChatGPT in university academic writing has generated a growing debate about
its implications for the originality, quality, and authenticity of university writing. Its accelerated …

[HTML][HTML] Research on Intelligent Grading of Physics Problems Based on Large Language Models

Y Wei, R Zhang, J Zhang, D Qi, W Cui - Education Sciences, 2025 - mdpi.com
The automation of educational and instructional assessment plays a crucial role in
enhancing the quality of teaching management. In physics education, calculation problems …

EssayJudge: A Multi-Granular Benchmark for Assessing Automated Essay Scoring Capabilities of Multimodal Large Language Models

J Su, Y Yan, F Fu, H Zhang, J Ye, X Liu, J Huo… - arxiv preprint arxiv …, 2025 - arxiv.org
Automated Essay Scoring (AES) plays a crucial role in educational assessment by providing
scalable and consistent evaluations of writing tasks. However, traditional AES systems face …

[HTML][HTML] Integration of Generative Artificial Intelligence in Higher Education: Best Practices

J Cordero, J Torres-Zambrano, A Cordero-Castillo - Education Sciences, 2024 - mdpi.com
Generative artificial intelligence (GenAI) is transforming various sectors, including education.
This study investigates the integration of GenAI in higher education, focusing on its potential …

Beyond traditional learning: The llm revolution in bpm education at university

M Grzesiak, K Kluza, NR Potoczek, L Szała - International Conference on …, 2024 - Springer
Abstract Large Language Models (LLMs) significantly impact higher education, requiring
changes in educational processes, especially in Business Process Management (BPM) …

A Certified Robust Watermark For Large Language Models

X Feng, J Liu, K Ren, C Chen - arxiv preprint arxiv:2409.19708, 2024 - arxiv.org
The effectiveness of watermark algorithms in AI-generated text identification has garnered
significant attention. Concurrently, an increasing number of watermark algorithms have been …

Text mining technologies applied to free-text answers of students in e-assessment

A Charitopoulos, M Rangoussi, D Metafas… - Discover …, 2025 - Springer
Abstract Educational Text Mining is a rapidly growing field, thanks to the adoption of modern
probabilistic and machine learning algorithms. The current study focuses on student e …

[PDF][PDF] Educational justice. Reliability and consistency of large language models for automated essay scoring and its implications

SBQ Rony, TX Fei, S Arsovski - Journal of Applied Learning and …, 2025 - journals.sfu.ca
In the education sector, new technologies are used to further engage and create more
cohesive learning and teaching experiences. Ghosh (2024) investigates the usage of …