Zhai Jiayu, Aryadoust Vahid
School of English Studies, Sichuan International Studies University, Chongqing, China.
National Institute of Education, Nanyang Technological University, Singapore, Singapore.
Front Psychol. 2022 Jun 10;13:930075. doi: 10.3389/fpsyg.2022.930075. eCollection 2022.
This study aims to investigate whether and how test takers' academic listening test performance is predicted by their metacognitive and neurocognitive process under different test methods conditions. Eighty test takers completed two tests consisting of while-listening performance (WLP) and post-listening performance (PLP) test methods. Their metacognitive awareness was measured by the Metacognitive Awareness Listening Questionnaire (MALQ), and gaze behavior and brain activation were measured by an eye-tracker and functional near-infrared spectroscopy (fNIRS), respectively. The results of automatic linear modeling indicated that WLP and PLP test performances were predicted by different factors. The predictors of WLP test performance included two metacognitive awareness measures (i.e., person knowledge and mental translation) and fixation duration. In contrast, the predictors of the PLP performance comprised two metacognitive awareness measures (i.e., mental translation and directed attention), visit counts, and importantly, three brain activity measures: the dmPFC measure in the answering phase, IFG measure in the listening phase, and IFG measure in the answering phase. Implications of these findings for language assessment are discussed.
本研究旨在调查在不同测试方法条件下,考生的元认知和神经认知过程是否以及如何预测其学术听力测试成绩。80名考生完成了两项测试,包括听力过程表现(WLP)和听力后表现(PLP)测试方法。他们的元认知意识通过元认知意识听力问卷(MALQ)进行测量,注视行为和大脑激活分别通过眼动仪和功能近红外光谱(fNIRS)进行测量。自动线性建模结果表明,WLP和PLP测试成绩由不同因素预测。WLP测试成绩的预测因素包括两项元认知意识指标(即个人知识和心理翻译)以及注视持续时间。相比之下,PLP成绩的预测因素包括两项元认知意识指标(即心理翻译和定向注意)、访问次数,重要的是,还包括三项大脑活动指标:回答阶段的背内侧前额叶皮层(dmPFC)指标、听力阶段的额下回(IFG)指标以及回答阶段的额下回指标。本文讨论了这些研究结果对语言评估的启示。