Towards reliable generative AI-driven scaffolding: Reducing hallucinations and enhancing quality in self-regulated learning support

Authors

Publication Details

Journal
Computers & Education
Published
2025-09-02
DOI
https://doi.org/10.1016/j.compedu.2025.105448
Citations
5
Primary Topic
Innovative Teaching and Learning Methods
Type
article
Field-Weighted Citation Impact
17.22

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Towards reliable generative AI-driven scaffolding: Reducing hallucinations and enhancing quality in self-regulated learning support

Sadia Nawaz, Dragan Gašević, Inge Molenaar, Lixiang Yan et al.
5 citations
Computers & Education
Innovative Teaching and Learning Methods
17.22
article

Towards reliable generative AI-driven scaffolding: Reducing hallucinations and enhancing quality in self-regulated learning support

Sadia Nawaz, Dragan Gašević, Inge Molenaar, Lixiang Yan, Zachari Swiecki, Tongguang Li, Mladen Raković, Xinyu Li, Shiqi Liu, Keyang Qian, Rui Guan
article en
5 citations

Abstract

No abstract available for this paper.
Computers & EducationVol. 240
Jacobs Foundation
Openalex Percentile: Top 1%
Innovative Teaching and Learning Methods
17.22
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.