ObjectivesUnder the COVID-19 prevention and control policy, online learning has been widely used. The current study aimed to identify latent profiles of self-regulated learning in the context of online mathematics learning during the recurrent outbreak of COVID-19, and examine the mechanisms underlying the relationship between self-regulated learning and online mathematics learning engagement among Chinese junior high school students using variable-and person-centered approaches.MethodsA sample of 428 Chinese junior high school students (47.66% female) completed questionnaires on self-regulated learning, perceived academic control, and learning engagement. Mplus7.0 was used to analyze the latent classes of self-regulated learning. A mediation model was conducted using the software SPSS PROCESS macro.ResultsThree profiles of self-regulated learning were identified and named as low self-regulated learning (16.12%), medium self-regulated learning (43.23%), and high self-regulated learning (40.65%). In the mediating analysis, results of the variable-centered approach showed that perceived academic control mediated the effects of self-regulated learning on learning engagement. For the person-centered approach, we selected the low self-regulated learning type as the reference profile, and the analysis revealed that compared with the reference profile, perceived academic control partially mediated the link between the medium self-regulated learning profile and learning engagement; perceived academic control partially mediated the relationship between the high self-regulated learning profile and learning engagement.ConclusionThis study showed the heterogeneity in the online mathematics self-regulated learning patterns of Chinese junior high school students during the COVID-19 pandemic, revealing the internal mechanisms of Chinese junior high school students’ online mathematics learning engagement using variable-and person-centered approaches. Furthermore, the findings of the study have important implications for promoting online mathematics learning engagement among junior high students during the pandemic.
"In our daily life, the ability of processing the other people's facial features (such as race, emotion, etc.) are of great significance of us to adapt to social environment and participate in social interaction. In this study, a 2 (race: own-race/ other-race) ×2 (emotion: positive/ negative) within-subjects design was used to investigate how the race and emotion on face affect the processing of cognition and the processing of metacognition. There are five tasks: ease-of-learning (EOL) judgement, remembering, judgement of learning (JOL), recognition and judgement of confidence (JOC). The results revealed that :(1) EOL judgement was only affected by race, which showed that participants made higher EOL judgement for other-race faces than for own-race. (2) The processing fluency was only affected by emotion, which showed that participants spend less time for learning the faces with negative emotion. (3) JOL is not only affected by race, but also moderated by emotion. The results showed that: in the positive emotion condition, JOLs of foreign faces was significantly higher than that of native faces, whereas, in the condition of negative emotion, the difference between the two was not significant. (4) Other-race effect was found in recognition scores, and the other-race effect was moderated by emotion. The results showed that the recognition performance of native face was significantly better than that foreign face in the negative emotion condition. In the condition of positive emotion, the difference between the two was not significant. (5) The trend of confidence judgment was the same as recognition scores. The conclusions were as follows :(1) Emotion has a significant influence on face image cod, while race information has a significant influence on face image cod, and emotional information plays a moderating role; (2) The metacognitive processing of face was influenced by multiple factors such as ethnicity, emotion and cognitive processing information. In conclusion, when processing face image, there is significant separation between cognition and metacognition at different stages, under the influence of ethnicity and emotion. In addition, this study also provides a partial explanation for the difference in accuracy between prospective and retrospective metacognitive monitoring."
The relationship between metacognition and mindreading was investigated by examining how well one can monitor their own learning (Self) compared to another person’s learning (Other). Here, we used functional near-infrared spectroscopy (fNIRS) to systematically investigate the brain area activation during metacognition and mindreading. The evidence indicated that metacognition and mindreading are underpinned by distinct neural systems. Metacognition is associated with activation in brain regions important for memory retrieval, such as the fusiform gyrus, while mindreading is associated with activation in brain regions important for understanding and reasoning about others’ intentions, such as the right temporoparietal junction (rTPJ).
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