Journal of Applied Testing Technology

The Journal of Applied Testing Technology (JATT) is a scholarly online publication that focuses on the role of technology in educational and psychological measurement. Sponsored by the Association of Test Publishers, its goal is to foster scientific dialogue about advances in applied psychometric practice, especially related to the use of technology. Papers are published at no expense to authors and are freely available to the public. The Journal's intended audience includes practitioners and researchers working in the areas of certification/licensure, clinical, health and public sector assessment, workforce credentialing, educational measurement and industrial-organizational psychology.

Current Issue

Vol 23(Special Issue 1), 2022

Published: 2022-12-07

Special Issue on Artificial Intelligence, Machine Learning, and Natural Language Processing Applications in Education

Okan Bulut

01-03
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Evaluating Coherence in Writing: Comparing the Capacity of Automated Essay Scoring Technologies

Jinnie Shin, Mark J. Gierl

04-20
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The Effect of Fine-tuned Word Embedding Techniques on the Accuracy of Automated Essay Scoring Systems Using Neural Networks

Tahereh Firoozi, Okan Bulut, Carrie Demmans Epp, Ali Naeimabadi, Denilson Barbosa

21-29
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Leveraging Machine Learning Technology to Improve Accuracy and Efficiency of Identification of Enemy Item Pairs

Ian Micir, Kimberly Swygert, Jean D’Angelo

30-40
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Identifying Enemy Item Pairs using Natural Language Processing

Kirk A. Becker, Shu-chuan Kao

41-52
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Using Machine Learning to Predict Bloom’s Taxonomy Level for Certification Exam Items

Alan D. Mead, Chenxuan Zhou

53-71
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Using Pupillometry to Validate a KSA-Mitigated Model of Cognitive Processes

Jay Thomas

72-94
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Artificial Intelligence: Transforming the Future of Feedback in Education

Tarid Wongvorachan, Ka Wing Lai, Okan Bulut, Yi-Shan Tsai, Guanliang Chen

95-116
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Journal of Applied Testing Technology

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