Psychological factors influencing successful music learning using deep learning technologies

Xu, Zhibin; Xu, Qiang

doi:10.1080/10494820.2023.2205449

Cited by 3 publications

(1 citation statement)

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“…These factors intricately intertwine with an individual's mental, emotional (Derakhshan et al, 2023;Simpson et al, 2023), personal characteristics (Luo et al, 2023), and attitudes (Leung & McPherson, 2011), personal characteristics (Luo et al, 2023), and more, shaping the complex landscape of their thoughts, feelings, and reactions to various stimuli. Internal factors influencing musical performance improvement also include physiological factors (Xu & Xu, 2023), especially innate physical conditions (Belingheri et al, 2023) and psycho-physiological differences (Delleli et al, 2023). Another internal factor affecting the enhancement of musical performance is preparation factors (Antonini Philippe et al, 2020;Goehr, 2015).…”

Section: Introductionmentioning

confidence: 99%

Current Situation and Factors Affecting the Musical Performance of Prospective Music Teachers

Cheng,

Kirliauskienė

2024

PED

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Musical performance is the key content in the process of music education. Therefore, it is important for us to explore the current situation and factors affecting musical performance and further develop relevant skills for prospective music teachers. This study surveying 586 prospective music teachers using a questionnaire, the results indicate that physiological factors are the most important factors affecting musical performance, followed by psychological factors.

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Section: Introductionmentioning

confidence: 99%

Current Situation and Factors Affecting the Musical Performance of Prospective Music Teachers

Cheng,

Kirliauskienė

2024

PED

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How do learners participate in interaction in different types of discussion topics and learning tools of cMOOCs?

Huang,

Guo,

Xie

2024

Interactive Learning Environments

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Factors affecting deep learning of EFL students in higher vocational colleges under small private online courses‐based settings: A grounded theory approach

Jiang,

Lv,

Cheng

et al. 2024

Computer Assisted Learning

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BackgroundThe introduction of Small Private Online Courses (SPOCs) in English as a Foreign Language (EFL) instruction at Higher Vocational Colleges (HVCs) signifies a shift in education. Understanding the factors that affect deep learning in this SPOC context is crucial for improving educational outcomes.ObjectivesBy employing grounded theory, we seek to explore the key factors that shape deep learning experiences for students in SPOC learning environments at HVCs and clarify the interrelationships among these influencing factors.MethodsSemi‐structured interviews were conducted with 18 EFL students and 4 teachers and NVivo 11 software was utilised to aid in the qualitative analysis of the collected data. Through a rigorous three‐tier coding analysis, an “environment‐person‐mediation ‐behaviour” (EPMB) model was constructed, aiming to clarify the mechanisms that influence deep learning among EFL students in HVCs.ResultsOur findings reveal that intrinsic motivation and cognitive abilities are crucial for deep learning among EFL students in HVCs. Blended learning settings, English curriculum satisfaction, and English teachers' teaching methods serve as situational influencing factors. These factors are interconnected, mediating positive or negative effects on deep learning through various intermediaries like continuity, attraction, guidance, motivation, and regulation.ImplicationsThe findings offer pedagogical insights for HVC stakeholders, enabling them to enhance students' deep learning experiences.

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Psychological factors influencing successful music learning using deep learning technologies

Cited by 3 publications

References 40 publications

Current Situation and Factors Affecting the Musical Performance of Prospective Music Teachers

Current Situation and Factors Affecting the Musical Performance of Prospective Music Teachers

How do learners participate in interaction in different types of discussion topics and learning tools of cMOOCs?

Factors affecting deep learning of EFL students in higher vocational colleges under small private online courses‐based settings: A grounded theory approach

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