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AI writing tools review in higher ed not supported

Question asked:

“A systematic review of empirical and review studies published between January 2023 and October 2025 on AI writing tools in higher education identified 1,032 records, screened 213 full texts, included 102 studies, and analyzed a focal corpus of 40 articles.”
Not supported
Confidence: High Checked on September 27, 2026

Summary

No available source confirms a systematic review covering AI writing tools in higher education that identified 1,032 records, screened 213 full texts, included 102 studies, and analyzed 40 articles between January 2023 and October 2025. The retrieved results pertain to unrelated topics and do not substantiate the claim.

Sources 59 searched

pubmed.ncbi.nlm.nih.gov
pmc.ncbi.nlm.nih.gov
sciencedirect.com
  • Empirical evaluation of the methods used in systematic reviews including observational studies and randomized trials - ScienceDirect

    To examine the methodological characteristics of systematic reviews and meta-analyses including observational studies (OSs) and randomized controlled trials (RCTs), in various medical disciplines. We searched Medline via PubMed to identify systematic reviews of interventions including RCTs and OSs published in 110 journals from 2015 to 2019.

  • Cognitive Biases in Fact-Checking and Their Countermeasures: A Review - ScienceDirect

    They argue that people’s trust in fake news can be built when the fake news confirms one’s preexisting political biases (i.e., particular cognitive biases), thus providing resources to evaluate the partisanship of news publishers. Mastroianni and Gilbert (2023) show, in a recent study, how biased exposure to information and biased memory for information makes people believe that morality is declining for decades. Zollo (2019) studied how information spreads across communities on Facebook, focusing on echo chambers and confirmation bias. They provide empirical evidence of echo chambers and filter bubbles, showing that confirmation bias plays a crucial role in content selection and diffusion (Cinelli et al., 2022, Cinelli et al., 2021, Cinelli et al., 2020, Del Vicario et al., 2016, Zollo and Quattrociocchi, 2018).

nature.com
misinforeview.hks.harvard.edu

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