EFFECTIVE DEEP LEARNING REQUIRES A “BALANCE” BETWEEN NEED FOR COGNITION, FLOW EXPERIENCE, AND POSITIVE ACADEMIC EMOTIONS

• Authors: Xiao Qianguo , Dai Qian , Ma Jialan , Yuan Fangzhou
• Languages of publication: EN

Abstracts

EN

As deep learning emphasizes the development of higher-order thinking, criticality, and creativity, it has higher requirements for cognitive motivation (such as the need for cognition, NFC) and positive academic emotion investment, but excessive physiological and emotional arousal may reduce learning efficiency. Therefore, deep learning seems to require an optimal, balanced mind-body engagement. However, there is a lack of empirical research on the interaction between NFC, positive academic emotion, flow experience and deep learning. To this end, 503 undergraduates and senior high school students were recruited to investigate the interrelationships among NFC, deep learning strategies, flow experience, and positive academic emotions with self-rating scales. Through the analysis of the mediation and moderation model, the results suggested that: 1) a substantial positive correlation exists between deep learning and NFC, flow experience and positive academic emotions; 2) flow experience exerts a significant mediating effect on the relationship between NFC and deep learning; 3) the moderating effect of positive academic emotion between NFC and deep learning is different from that between flow experience and deep learning. An excessively high NFC may attenuate the beneficial effect of positive academic emotions on deep learning, but an elevated level of positive academic emotion has a more facilitative association between flow experience and deep learning. These results imply that optimization of deep learning necessitates a considerable “balance” among NFC, flow experience, and positive academic emotions.

Keywords

EN

DEEP LEARNING; NFC; FLOW EXPERIENCE; ACADEMIC EMOTION

• Publisher: Institute of Experimental Psychology, Slovak Academy of Sciences
• Journal: Studia Psychologica
• Year: 2024
• Volume: 66
• Issue: 4
• Pages: 237 - 252

Contributors

author

Xiao Qianguo

• Research centre of Humanities and Medicine, Zunyi Medical University, 563000, Zunyi, China

• https://orcid.org/0000-0001-9515-0690

author

Dai Qian

• https://orcid.org/0009-0005-6822-075X

author

Ma Jialan

• https://orcid.org/0009-0000-0958-5859

author

Yuan Fangzhou

• https://orcid.org/0009-0005-1373-8914

Identifiers

DOI

https://doi.org/10.31577/sp.2024.04.903