Evidence map›Paper›PMID 42783586›Full record

ArticleJournal of Intelligence2026

Second Language Learners' Cognitive Evaluation of GenAI Interactive Learning Experience: Scale Development and Network Analysis.

Hanwei Wu, Gurpinder Singh Lalli, Yongliang Wang

Abstract read
In one paragraph

Article in Journal of Intelligence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Hanwei WuDepartment of Foreign Languages, Basic Education College, National University of Defense Technology, Changsha 410072, China.ORCID 0000-0002-3876-110X
Gurpinder Singh LalliSchool of Education, University of Wolverhampton, Wolverhampton WS1 SBD, UK.ORCID 0000-0002-7493-4813
Yongliang WangSchool of Foreign Studies, North China University of Water Resources and Electric Power, Zhengzhou 450046, China.ORCID 0000-0002-4672-8481

Funding

National Education Science Planning Project FRA250474
6 · The paper itself

Abstract

As generative artificial intelligence (GenAI) becomes increasingly integrated into second language (L2) learning, there is a growing need for reliable instruments to assess learners' cognitive evaluation of GenAI-mediated interactive learning experiences. This study developed and validated the GenAI L2 Interactive Learning Experience Scale (AI-L2-ILES) among 1130 Chinese university students. Drawing on an interactive experience perspective and adapting it to L2 learning, the study conceptualized learners' cognitive evaluation of GenAI interaction as comprising five dimensions: Effectiveness, Sociability, Novelty, Flow, and Seamlessness. Exploratory and confirmatory factor analyses supported this five-factor structure, with satisfactory evidence of reliability, validity, and measurement invariance across gender and academic disciplines. Network analysis further revealed that Flow was the most central dimension, Sociability showed the strongest association with Effectiveness, and Novelty occupied a relatively peripheral position. The network structure was stable across academic disciplines. Overall, the AI-L2-ILES provides a psychometrically sound measure of learners' cognitive evaluation of GenAI-mediated interactive L2 learning experiences and captures five distinct but interconnected dimensions of this emerging construct. The scale offers a useful tool for examining how L2 learners cognitively evaluate their interactions with GenAI.

Indexed as

cognitive evaluationGenAIinteractive learning experienceL2 learningnetwork analysisscale development

Identifiers

PMID42783586
PMCPMC13608319

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.