Understanding the roles of expert teacher workshops in building teachers' capacity in Shanghai turnaround primary schools: A Teacher's perspective

Liu, Peng

doi:10.1016/j.tate.2021.103574

Cited by 7 publications

(5 citation statements)

References 25 publications

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“…Traditional TDAs based on manual-extracted features have slow progress and low performance. It was not until 2012 that the rise of CNN pushed the field of object detection to a new level[17,18].ere are two main technical development routes for CNNbased TDAs: anchor-based and anchor-free methods. Anchor-based methods include one-stage and two-stage detection algorithms.…”

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confidence: 99%

Teachers’ Teaching Ability Promotion Strategies Based on Lightweight Deep Learning Combined with Target Detection Algorithm

Jin

2022

Computational Intelligence and Neuroscience

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With the popularization of standardized classrooms in colleges and universities, it is possible to collect video data of students’ class status through the camera device in the classroom. With abundant video data sources, it is easy to obtain big data of students’ class status images. Unstructured video big data is a topic worthy of research in improving teaching quality. First, the current teaching ability of teachers in colleges and universities is investigated, and its problems are found. Then, the You Only Look Once (YOLO) network in the object detection network is mainly studied. The deficiencies in the network structure are further explored and optimized. It is used in real classroom scenarios as well as on student expression detection problems. Finally, the proposed scheme is tested. The test results show that at present, 20% and 38% of teachers in higher vocational colleges think that they are “dissatisfied” with their classroom teaching and practical guidance ability. And 38% of teachers wanted to improve the bad situation. The accuracy of the proposed model for student expression detection is higher than that of faster-region convolutional neural network and mask-region convolutional neural network by more than 8%, higher than the YOLO v3 model by more than 4%, and higher than YOLO v3 Tiny model above 6%. The proposed model provides some ideas for the application of deep learning technology in the improvement of teachers’ teaching ability.

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confidence: 99%

Teachers’ Teaching Ability Promotion Strategies Based on Lightweight Deep Learning Combined with Target Detection Algorithm

Jin

2022

Computational Intelligence and Neuroscience

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“…The results indicated that limited collaborative learning in a professional learning community might be an external factor that hinders preservice teachers’ development in China. For example, Liu (2022) reported the significant contributions of expert teachers in building teacher capacity through professional learning communities in turnaround primary schools in Shanghai.…”

Section: Discussionmentioning

confidence: 99%

How Would Preservice Teachers With Deeper Reflection Emerge as Teacher Leaders?

Wang

2022

ECNU Review of Education

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Purpose This study aimed to identify the potential attributes of teacher leadership among preservice teachers with higher levels of reflection, especially in the Chinese context. Design/Approach/Methods A mixed research method was adopted in this study. First, a quantitative research method was conducted to examine preservice teachers’ reflection depth. The top 10% of the preservice teachers with higher levels of reflection were selected as the target respondents for comparison. Second, qualitative data analysis was conducted to identify potential attributes of emergent teacher leadership in these preservice teachers. Findings This study identified five potential attributes of emergent teacher leadership among preservice teachers who showed deeper reflection depth. Additionally, this study identified how the unique attributes fit into preservice teachers’ professional development in the Chinese context. Originality/Value This study proposes a new development model to develop preservice teachers that emphasizes the role of continuous reflections in context for professional growth. This study provides implications for understanding the potential attributes of emergent teacher leadership among Chinese preservice teachers. Additionally, this study appeals to the importance of cultivating preservice teachers to practice teacher leadership during the teacher training stage to support them to become outstanding future teachers.

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“…Even the same mathematical concept can spark different coping reactions in them. Under the LHDA teaching research model, mathematics teachers' diverse approaches per se are a valuable resource for mathematics teaching (21).…”

Section: Individual Lesson Planningmentioning

confidence: 99%

Lesson Honing through Different Approaches: A Meaningful Practice of Teaching Research among Chinese Basic Education Teachers

Zhao

2024

Sci Insights

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Understanding the roles of expert teacher workshops in building teachers' capacity in Shanghai turnaround primary schools: A Teacher's perspective

Cited by 7 publications

References 25 publications

Teachers’ Teaching Ability Promotion Strategies Based on Lightweight Deep Learning Combined with Target Detection Algorithm

Teachers’ Teaching Ability Promotion Strategies Based on Lightweight Deep Learning Combined with Target Detection Algorithm

How Would Preservice Teachers With Deeper Reflection Emerge as Teacher Leaders?

Lesson Honing through Different Approaches: A Meaningful Practice of Teaching Research among Chinese Basic Education Teachers

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