Assessment2Vec: Learning Distributed Representations of Assessments to Reduce Marking Workload. - Shuang Wang 012; Amin Beheshti; Yufei Wang 003; Jianchao Lu; Quan Z. Sheng; Stephen Elbourn; Hamid Alinejad-Rokny; Elizabeth Galanis (AIED (2), 2021)

Resolving Learners Misunderstandings Using an Adaptive Divide and Correct Technique. - Alireza Tabebordbar; Amin Beheshti; Nabi Rezvani; Mohsen Asadnia; Stephen Elbourn (MoMM, 2022)

Learning Distributed Representations and Deep Embedded Clustering of Texts. - Shuang Wang 012; Amin Beheshti; Yufei Wang 003; Jianchao Lu; Quan Z. Sheng; Stephen Elbourn; Hamid Alinejad-Rokny (Algorithms, 2023)

The Impact of Generative AI on Student Churn and the Future of Formal Education. - Stephen Elbourn (CoRR, 2024)

An Intelligence Cattle Reidentification System Over Transport by Siamese Neural Networks and YOLO. - Ivan Bakhshayeshi; Eila Erfani; Firouzeh Rosa Taghikhah; Stephen Elbourn; Amin Beheshti; Mohsen Asadnia (IEEE Internet Things J., 2024)

Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams. - Masoud Safilian; Amin Beheshti; Stephen Elbourn (CoRR, 2025)