Preserving integrity in online assessment using feature engineering and machine learning

Author:

Garg ManikaORCID,Goel Anita

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference56 articles.

1. Ahmad Muhammad, B., Qi, C., Wu, Z., & Kabir Ahmad, H. (2022). GRL-LS: A learning style detection in online education using graph representation learning. Expert Systems with Applications, 201(June 2021), 117138. https://doi.org/10.1016/j.eswa.2022.117138.

2. Interaction of proctoring and student major on online test performance;Alessio;International Review of Research in Open and Distance Learning,2018

3. Copying@Scale: Using harvesting accounts for collecting correct answers in a MOOC;Alexandron;Computers and Education,2017

4. Towards a general purpose anomaly detection method to identify cheaters in massive open online courses;Alexandron,2019

5. Using learning analytics for preserving academic integrity;Amigud;International Review of Research in Open and Distance Learning,2017

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