Tutoring & Learning
24 gains4 Traces1 problem
Every measured gain and problem on the record for this topic, newest first. Updated .
One square per record, darker for stronger evidence:Evidence: 2 high24 moderate3 emerging
AI in tutoring and learning
A Trace is one record with both a gain and a problem, so it counts on both sides: 28 records show a gain and 5 show a problem. 15 context records are in the record list but not counted, because they report no measured gain or problem.
| Evidence | Gain side | Problem side |
|---|---|---|
| HighStrong study design, backed by at least two independent sources | 2 | 0 |
| ModerateA measured study or an official source | 23 | 4 |
| EmergingEarly, small, unreviewed or reported second-hand | 3 | 1 |
By type of evidence: 6 observational studies; 6 randomized trials; 5 surveys; 5 controlled comparisons; 4 systematic reviews or meta-analyses; 1 interview study; 1 case report; 1 commentary or narrative review. How evidence is scored
In a four-month randomized trial, 75 Chinese English learners taught with robots scored significantly higher on questionnaires of classroom engagement and willingness to attend classes than 80 controls.
Among 360 senior high school students in Ghana, AI-enhanced teaching was linked to higher mathematical language proficiency, partly through better digital literacy and learning engagement.
Among 853 university students in Melilla, Ceuta and Granada, students said AI is a valuable tool for learning mathematics when they know how to use it.
A review of 103 papers found brain-signal adaptive learning systems are not yet deployable at scale, with unresolved data privacy and security risks, algorithmic bias, and unequal access.
The AI-assisted videos still needed expert oversight and saved no production time, and the AI-assisted group's score gain was not significant at one week (p = 0.16).
A review of 40 articles flags unresolved risks in multilingual education: data privacy, algorithmic bias, unequal access, and a loss of relational and cultural aspects of teaching, which it calls an empathy gap.
24 records · page 2 of 2
"student_ipad_school - 063" by flickingerbrad, CC BY 2.0.This October 2025 scoping review synthesized 65 empirical studies up to mid-April 2025 on AI-mediated informal language learning, defined as self-directed out-of-class L2 learning with AI tools.
ReCALL
Researchers surveyed 853 university students from Melilla, Ceuta and Granada in 2026 with a validated questionnaire to assess whether AI is perceived as valid and reliable for mathematics teaching,…
By December 2025, researchers surveyed EFL students in two stages to understand AI acceptance. The first survey of 460 students linked digital literacy to higher perceived ease of use and usefulness and greater trust in…
Researchers surveyed 385 senior high school students in Ghana to test how teachers' AI-supported pedagogical practices relate to mathematics problem-solving, whether student engagement explains that link, and whether…
Researchers evaluated an AI-powered learning framework called the Educational AI Hub in undergraduate civil and environmental engineering courses at a large R1 public university in early 2026.
On March 4, 2026, a peer-reviewed study in Frontiers in Artificial Intelligence reported results from 280 university students on an ESG-informed framework for Sustainable AI-Metaverse Adoption.
In a 2026 single-case study in Yanbu, Saudi Arabia, three male elementary students aged 9-11 with dyslexia received GenAI-based visual instruction using ChatGPT-generated visual explanations aligned…
In a four-month randomized trial reported April 30, 2026, 155 Chinese EFL students were split into a control group of 80 and an experimental group of 75 that received robot-assisted language…
Published May 26, 2026, this peer-reviewed study investigated AI-enhanced pedagogical practices and mathematical language proficiency among 360 senior high school students in Ghana.
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