Psychological Test Adaptation and Development
Official Open Access Organ of the European Association of Psychological Assessment (EAPA)

Call for Papers
Special Collection: Advancing Psychological Assessments With Machine Learning and Artificial Intelligence

Full paper submission deadline April 30, 2025 – extended to July 31, 2025
We are delighted to announce a forthcoming special collection of Psychological Test Adaptation and
Development (PTAD), entitled “Advancing Psychological Assessments With Machine Learning and
Artificial Intelligence.” This special collection aims to foster dialogue and innovation at the intersection of psychological assessment and machine learning/artificial intelligence (AI).

Aims and Scope
Machine learning and generative AI are transforming the fields of psychological and educational
assessment by providing new methodologies for test development, scoring, and evaluation. This
special collection seeks to explore these advancements and highlight their potential to
complement traditional psychometric approaches. Submissions should focus on how these
technologies are applied to generate and analyze numerical, textual, and visual data in ways that
enrich psychological and educational assessments.

Topics of Interest
We invite submissions addressing, but not limited to, the following topics:
• Applications of large language models (LLMs) in psychological and educational testing
• Automated item and test generation using machine learning approaches
• AI-driven essay scoring and other forms of automated performance evaluation
• Hybrid methods combining traditional psychometric frameworks with machine learning
techniques
• Interdisciplinary applications of AI in behavioral measurement and assessment
• Ethical and fairness considerations in the deployment of AI for psychological assessments
• Validation and reliability of AI-generated assessment results

Submission Guidelines
Manuscripts must adhere to the general author guidelines of PTAD and must be submitted through the journal’s online submission system. Submissions will undergo a double-blind peer review process to ensure rigor and quality. Authors are encouraged to include Open Data, Open Materials, and Open Analytic Code wherever possible to align with PTAD’s commitment to transparency and
open science.
 

We encourage you to check the detailed information: https://www.hogrefe.com/index.php?eID=dumpFile&t=f&f=18182&token=1d231bea7a6bccee02ae66b5c9480aaac130cd89