The role of school ICT construction and teacher information literacy in reducing teacher burnout: Based on SEM and fsQCA

Chen, Min; Zhou, Chi; Wang, Yiming; Li, Yating

doi:10.1007/s10639-022-10989-7

Cited by 9 publications

(7 citation statements)

References 70 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Findings indicated that AI applications significantly positively influenced the other three dimensions ( Zhao, Wu & Luo, 2022 ). Additionally, Chen et al (2022) employed a structural equation model and fuzzy set for qualitative comparative analysis to investigate the impact of school information and communication technology (ICT) infrastructure and teachers’ information literacy on teacher burnout. Their exploration delved into the comprehensive effects of these factors, revealing that constructing high-quality hardware facilities and software resources and implementing advanced school ICT-related policies can mitigate teacher burnout, with teacher information literacy playing a mediating role ( Chen et al, 2022 ).…”

Section: Discussionmentioning

confidence: 99%

“…Additionally, Chen et al (2022) employed a structural equation model and fuzzy set for qualitative comparative analysis to investigate the impact of school information and communication technology (ICT) infrastructure and teachers’ information literacy on teacher burnout. Their exploration delved into the comprehensive effects of these factors, revealing that constructing high-quality hardware facilities and software resources and implementing advanced school ICT-related policies can mitigate teacher burnout, with teacher information literacy playing a mediating role ( Chen et al, 2022 ). Comparatively, the application and evaluation model of teacher intelligent literacy based on the SOLO classification method outperforms the model relying on SVM concerning training time, accuracy, test time, and algorithmic complexity.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Using deep learning-based artificial intelligence electronic images in improving middle school teachers’ literacy

Zhai,

Chu,

Liu

et al. 2024

PeerJ Computer Science

View full text Add to dashboard Cite

With the rapid development of societal information, electronic educational resources have become an indispensable component of modern education. In response to the increasingly formidable challenges faced by secondary school teachers, this study endeavors to analyze and explore the application of artificial intelligence (AI) methods to enhance their cognitive literacy. Initially, this discourse delves into the application of AI-generated electronic images in the training and instruction of middle school educators, subjecting it to thorough analysis. Emphasis is placed on elucidating the pivotal role played by AI electronic images in elevating the proficiency of middle school teachers. Subsequently, an integrated intelligent device serves as the foundation for establishing a model that applies intelligent classification and algorithms based on the Structure of the Observed Learning Outcome (SOLO). This model is designed to assess the cognitive literacy and teaching efficacy of middle school educators, and its performance is juxtaposed with classification algorithms such as support vector machine (SVM) and decision trees. The findings reveal that, following 600 iterations of the model, the SVM algorithm achieves a 77% accuracy rate in recognizing teacher literacy, whereas the SOLO algorithm attains 80%. Concurrently, the spatial complexities of the SVM-based and SOLO-based intelligent literacy improvement models are determined to be 45 and 22, respectively. Notably, it is discerned that, with escalating iterations, the SOLO algorithm exhibits higher accuracy and reduced spatial complexity in evaluating teachers’ pedagogical literacy. Consequently, the utilization of AI methodologies proves highly efficacious in advancing electronic imaging technology and enhancing the efficacy of image recognition in educational instruction.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Using deep learning-based artificial intelligence electronic images in improving middle school teachers’ literacy

Zhai,

Chu,

Liu

et al. 2024

PeerJ Computer Science

View full text Add to dashboard Cite

show abstract

“…Oleh karena itu sebisa mungkin guru harus bisa menggunakan media pembelajaran dalam proses belajar. Chen et al,(2022) dalam penelitiannya menunjukkan hasil bahwa media adalah bagian yang tidak terpisahkan dari proses belajar mengajar demi tercapainya Pendidikan yang berbasis pada kompetensi yang lebih baik. Ini artinya media merupakan salah satu alat dalam mewujudkan capaian pembelajaran yang disusun dengan baik sesuai kebutuhan siswa.…”

Section: Pendahuluanunclassified

Pengaruh Pembelajaran Berbasis Media Pembelajaran Terhadap Motivasi Belajar Siswa

Amaliyah,

Marlina

2023

JIPMHT

View full text Add to dashboard Cite

Penelitian ini berusaha mengkaji penggunaan media pembelajaran yang berfokus pada salah satu aplikasi presentasi berbasis edukasi yaitu Microsoft PowerPoint. Penelitian ini bertujuan untuk mengetahui besarnya pengaruh penggunaan media pembelajaran PowerPoint terhadap motivasi belajar siswa. Penelitian ini menggunakan pendekatan kuantitatif dengan metode deskriptif analisis korelasional dengan menggunakan instrument kuesioner yang disebar pada 93 sampel dari total 1.462 populasi seluruh siswa di Sekolah Menengah Kejuruan di Jakarta. Adapun instrument kuesioner berjumlah 20 butir pernyataan positif dan negative pada masing- masing variabel X dan Y. Hasil penelitian ini menunjukkan bahwa terdapat pengaruh media pembelajaran dengan menggunakan PowerPoint terhadap motivasi belajar siswa, hal ini dibuktikan uji hipotesis ro rt dengan hasil ro sebesar 0,448 maka hasil tersebut lebih besar daripada “rt” taraf signifikan 5% sebesar 0,207% dan taraf signifikan 1% sebesar 0,267%. Dan hasil penelitian ini adalah pengaruh media pembelajaran dengan menggunakan PowerPoint terhadap motivasi belajar siswa. Apabila dilihat rxy yang diperoleh yaitu 0,448 ternyata terletak antara 0,40 – 0,70 berdasarkan pedoman yang terdapat pada tabel. Sehingga dapat dinyatakan bahwa antara korelasi variabel X (Media Pembelajaran PowerPoint) dan Variabel Y (Motivasi Belajar) adalah korelasi yang tergolong sedang atau cukup. Dengan demikian hasil penelitian ini menunjukkan bahwa media pembelajaran menggunakan PowerPoint memiliki korelasi yang sedang/cukup terhadap motivasi belajar siswa dalam mata pelajaran PAI dengan nilai sebesar 0,448 atau 44,8%.

show abstract

“…Since TB has become a global issue, 19 , 20 many researchers, school administrators, and teachers themselves have focused on finding ways to successfully reduce TB. 8 , 21 Scholars have found that teachers’ psychological characteristics significantly affect burnout. 22 Previous studies have shown that improving psychological capital (PsyCap) is a useful strategy when it comes to preventing burnout.…”

Section: Introductionmentioning

confidence: 99%

The Symptom Network Structure of Teachers’ Burnout and Its Connection to Psychological Capital

Xue,

Sun,

et al. 2023

PRBM

View full text Add to dashboard Cite

Background Teacher burnout is characterized by emotional and physical exhaustion resulting from excessive work-related stress. Previous research based on traditional latent variable theory has revealed a significant negative relationship between TB and psychological capital (PsyCap). This study explored the complex symptoms of TB and the contact points of PsyCap in reducing TB using psychometric network analysis. Methods A total of 3991 teachers completed the burnout subscale of the Professional Quality of Life and Psychological Capital Scale. Results The results showed that: (a) In the TB network, the core symptoms displayed by teachers due to burnout are difficulty feeling “I am a very caring person”, “I am happy”, and “I am the person I always wanted to be”; (b) The TB-PsyCap network was closely connected, and the symptoms affected each other. PsyCap affected the TB network through “I feel optimistic and happy almost every day” and “I often feel that there is a future as a teacher”; (c) PsyCap’s bridge symptoms had a negative impact on TB, and PsyCap may reduce TB primarily through optimistic, hopeful dimensions. Conclusion and Implications Psychometric network analysis helps us understand the complex symptoms of TB and the contact points of PsyCap in reducing TB. This study offers valuable insights into the prevention of, and intervention in, burnout within the teaching community.

show abstract

The role of school ICT construction and teacher information literacy in reducing teacher burnout: Based on SEM and fsQCA

Cited by 9 publications

References 70 publications

Using deep learning-based artificial intelligence electronic images in improving middle school teachers’ literacy

Using deep learning-based artificial intelligence electronic images in improving middle school teachers’ literacy

Pengaruh Pembelajaran Berbasis Media Pembelajaran Terhadap Motivasi Belajar Siswa

The Symptom Network Structure of Teachers’ Burnout and Its Connection to Psychological Capital

Contact Info

Product

Resources

About