ArticleFrontiers in psychology2021
Supporting Learner Success: Revisiting Strategic Competence Through Developing an Inventory for Computer-Assisted Speaking Assessment.
Article in Frontiers in psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
The trial behind it
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Who cites it
5 citing papers in PubMed.
- From self-regulated learning to computer-delivered integrated speaking testing: Does monitoring always monitor?Frontiers in psychology · 2023Article
- Understanding Individual Differences in Metacognitive Strategy Use, Task Demand, and Performance in Integrated L2 Speaking Assessment Tasks.Frontiers in psychology · 2022Article
- Understanding learners' metacognitive experiences in learning to write in English as a foreign language: A structural equation modeling approach.Frontiers in psychology · 2022Article
- Investigating Students' Metacognitive Experiences: Insights From the English as a Foreign Language Learners' Writing Metacognitive Experiences Questionnaire (EFLLWMEQ).Frontiers in psychology · 2021Article
- Using Assessment for Learning: Multi-Case Studies of Three Chinese University English as a Foreign Language (EFL) Teachers Engaging Students in Learning and Assessment.Frontiers in psychology · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study investigated English-as-a-foreign-language (EFL) learners' strategic competence in the computer-assisted integrated speaking tests (CAIST) through the development and validation of the
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Registered trials
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 OpenQuestion graph.