The COVID-19 pandemic has accelerated the implementation and acceptance of remotely proctored high-stake assessments. While the flexible administration of the tests brings forth many values, it raises test security-related concerns. Meanwhile, artificial intelligence (AI) has witnessed tremendous advances in the last five years. Many AI tools (such as the very recent ChatGPT) can generate high-quality responses to test items. These new developments require test security research beyond the statistical analysis of scores and response time. Data analytics and AI methods based on clickstream process data can get us deeper insight into the test-taking process and hold great promise for securing remotely administered high-stakes tests. This chapter uses real-world examples to show that this is indeed the case.
@article{arxiv.2411.13699,
title = {Test Security in Remote Testing Age: Perspectives from Process Data Analytics and AI},
author = {Jiangang Hao and Michael Fauss},
journal= {arXiv preprint arXiv:2411.13699},
year = {2024}
}