PsyArXiv
metadata only
Generative AI Use in Selection Testing: Applicant Perceptions, Behaviors, and Test Performance
Generative artificial intelligence (GenAI) is potentially an effective tool for cheating unproctored internet tests (UIT). However, the practical threat posed by GenAI depends not only on its capabilities, but also whether applicants choose to use it and can do so effectively under real, high-stakes
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Generative AI Use in Selection Testing: Applicant Perceptions, Behaviors, and Test Performance#1148335
- Generative Artificial Intelligence Chatbots for Motivational Interviewing: A Scoping Review From System Design to Intervention Outcomes#1034876
- THE DIFFERENTIAL EFFECTS OF GENERATIVE ARTIFICIAL INTELLIGENCE, INTERNET AND TRADITIONAL LEARNING TOOLS#308641
- Beyond Productivity: Measuring Developers' Cognitive Load During GenAI-Supported Software Development#1141958
- Beyond Productivity: Measuring Developers' Cognitive Load During GenAI-Supported Software Development#1122357
Record · ID 1148196
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive