arbiter
JournalsPricingAccount

Using Artificial Intelligence in Test Construction: A Practical Guide

Javier Suárez‐Álvarez et al.

Psicothema2026https://doi.org/10.70478/psicothema.2026.38.01article
AJG 1
Weight
0.37

What the paper says

We propose a practical guide for using generative AI in test development and calibration, targeting challenges related to validity, reliability, and fairness by linking each issue to specific guidelines that promote responsible, effective implementation.

1 citation

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.70478/psicothema.2026.38.01

Or copy a formatted citation

@article{javier2026,
  title        = {{Using Artificial Intelligence in Test Construction: A Practical Guide}},
  author       = {Javier Suárez‐Álvarez et al.},
  journal      = {Psicothema},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.70478/psicothema.2026.38.01},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Using Artificial Intelligence in Test Construction: A Practical Guide

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.