+ HEALTH BACKGROUND/OBJECTIVES: Cardiovascular diseases (CVDs) remain the leading cause of morbidity and mortality wor…+ LABOR We introduce GDPval, a benchmark evaluating AI model capabilities on realworld economically valuable tasks. G…+ LABOR Labor market forecasting relies heavily on economic time-series data, often overlooking the “health–wealth” g…− ENTERTAINMENT Generative artificial intelligence (AI) has transformed music production from a specialist studio practice in…+ CLIMATE Water holds great significance as a vital resource in our everyday lives, highlighting the important to conti…+ ENTERTAINMENT With YouTube Music becoming one of Google AI Mode’s new Connected Apps, I used these 7 prompts to create new…− ENTERTAINMENT Some musicians and artists in Peterborough are pushing back on the use of artificial intelligence to create c…+ LABOR Earlier this year Paul* discovered via a flurry of media stories that his business group had been targeted fo…
TruaceTracing the truth around AITuesday, July 21, 2026
Subscribe
Education·P Space·Evidence-backed problem·Published 2026-07-20

Artificial Intelligence in Education: Implications for Policymakers, Researchers, and Practitioners

Abstract One trending theme within research on learning and teaching is an emphasis on artificial intelligence (AI). While AI offers opportunities in the educational arena, blindly replacing human involvement is not the answer. Instead, current research suggests that the key lies in harnessing the strengths of both humans and AI to create a more effective and beneficial learning and teaching experience. Thus, the importance of ‘humans in the loop’ is becoming a central tenet of educational AI. As AI technology a…

TRV-2026-0401Peer-reviewedPermanent record — cite & verify
Artificial Intelligence in Education: Implications for Policymakers, Researchers, and Practitioners

"_PR10255" by US Department of Education is licensed under CC BY 2.0. To view a copy of this license, visit https://creativecommons.org/licenses/by/2.0/.

The quick read

Published June 4, 2024, this peer-reviewed paper examined AI in education through a Delphi study of 33 international professionals plus follow-up face-to-face discussions with international researchers. It found that effective use depends on keeping humans in the loop rather than blindly replacing human involvement.

The work matters because it reframes AI adoption in schools around governance risks that affect students and teachers directly, not just technical performance. What remains uncertain is how the identified priorities of privacy, algorithmic trustworthiness, and equity translate into enforceable policies and measurable classroom outcomes across diverse systems.

Main points
  • Delphi study surveyed N = 33 international professionals followed by in-depth face-to-face discussions with international researchers.
  • Three most important trends identified were privacy and ethical use of AI, importance of trustworthy algorithms, and equity and fairness.
  • Same three items were also identified as the three key challenges for deploying AI in education.
  • Paper outlines policy recommendations and a research agenda based on findings.
Problem

Deploying AI in education faces key challenges of ensuring privacy and ethical use, trustworthy algorithms, and equity and fairness.

The rundown

The authors conducted a Delphi study with a survey of 33 international professionals and then held in-depth face-to-face discussions with a panel of international researchers to surface trends and challenges.

Results converged on three priorities that were both most important and most challenging: privacy and ethical use, trustworthy algorithms, and equity and fairness, leading to policy recommendations and a proposed research agenda.

Sources

Reader signal

How should this claim be treated?

The debate