標題: Titlebook: Individual and Social Influences on Professional Learning; Supporting the Acqui Hans Gruber,Christian Harteis Book 2018 Springer Nature Swi [打印本頁] 作者: digestive-tract 時間: 2025-3-21 16:18
書目名稱Individual and Social Influences on Professional Learning影響因子(影響力)
書目名稱Individual and Social Influences on Professional Learning影響因子(影響力)學科排名
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書目名稱Individual and Social Influences on Professional Learning讀者反饋
書目名稱Individual and Social Influences on Professional Learning讀者反饋學科排名
作者: Hallowed 時間: 2025-3-21 21:39 作者: 牲畜欄 時間: 2025-3-22 01:30 作者: BORE 時間: 2025-3-22 05:37
Supporting the Acquisition of Expertise: A Challenge for Research, to the development of professional expertise. Even if one is interested only in individual or only in social contributions to professional development, the other component must not be neglected. Each perspective is one side of the same coin.作者: overreach 時間: 2025-3-22 09:52
Book 2018discussed in the book, comprises all kinds of occupational domains because employment and paid work usually follow the achievement principle, i.e. workers are expected to perform efficiently. The book suggests that the perspective of expertise research is an appropriate lens to use for gaining insig作者: 希望 時間: 2025-3-22 15:16
Book 2018dividual. It proposes an integrated model of individual and social components of expertisedevelopment, the i-PPP model. The model provides insight in and an understanding of how individuals can be enabled to develop and maintain professional expertise in the context of daily work...Across all paradi作者: 入會 時間: 2025-3-22 17:17 作者: 招募 時間: 2025-3-23 00:53 作者: Irrepressible 時間: 2025-3-23 05:21 作者: GOUGE 時間: 2025-3-23 09:04
Hans Gruber,Christian Harteisy out a in-depth analysis using real data of a station of the North West of Italy, that shows the effectiveness of our approach and the contribution that domain-specific techniques may have in efficiently solving the various instances of the problem. Finally, we also present a visualisation tool for作者: Fretful 時間: 2025-3-23 10:14 作者: 稀釋前 時間: 2025-3-23 17:08
Hans Gruber,Christian Harteis apply Huffman coding to the chain of movements, the purpose of which is to reduce the size and have a new representation. The experimental findings reveal that we could obtain better results than leading standards in bi-level image compression, including JBIG family methods. Our outcomes strengthen作者: Nebulizer 時間: 2025-3-23 22:04 作者: 極大痛苦 時間: 2025-3-24 02:08
Hans Gruber,Christian Harteis transfer learning approach. We collected the pictures of scenes from sites and created a small dataset with different flood affected activities. We have utilized transfer learning model, RESNET in our proposed work which showed an accuracy of 88.88% for ResNet50 and 91.04% for ResNet101 and endow w作者: foppish 時間: 2025-3-24 03:35 作者: Receive 時間: 2025-3-24 09:03
2210-5549 development, the i-PPP model. The model provides insight in and an understanding of how individuals can be enabled to develop and maintain professional expertise in the context of daily work...Across all paradi978-3-030-07289-6978-3-319-97041-7Series ISSN 2210-5549 Series E-ISSN 2210-5557 作者: 不容置疑 時間: 2025-3-24 14:23 作者: lipoatrophy 時間: 2025-3-24 16:34 作者: Compassionate 時間: 2025-3-24 19:59 作者: Intercept 時間: 2025-3-25 02:09 作者: 表被動 時間: 2025-3-25 06:14 作者: 正論 時間: 2025-3-25 10:16 作者: 蠟燭 時間: 2025-3-25 14:24 作者: chlorosis 時間: 2025-3-25 16:45
Professional and Practice-based Learninghttp://image.papertrans.cn/i/image/463727.jpg作者: 壁畫 時間: 2025-3-25 23:24
The Successful Individual,To develop a comprehensive understanding of professional development, this chapter analyses individuals who succeeded in their professional development. Even though discussing individual and social influences separately it becomes obvious that both perspectives permanently are interrelated.作者: 剝皮 時間: 2025-3-26 02:46 作者: 膠狀 時間: 2025-3-26 05:59 作者: 圍裙 時間: 2025-3-26 09:30
Meta-Theoretical Perspective on Workplace Learning Research,ical patterns that are applied in empirical?– qualitative as well as quantitative?– research. Chapter . discusses an ontogenesis of research on workplace and professional learning and clarifies paradigmatic approaches.作者: CT-angiography 時間: 2025-3-26 14:45 作者: 被告 時間: 2025-3-26 20:14
Supporting the Maintenance of Expertise,nto the maintenance of expertise. Hence, a further section of the book sketches those aspects that crucially change at workplaces and analyses research that addresses questions on how experts deal with such changes in order to maintain their high performance level. Doing so, experts themselves shape作者: parasite 時間: 2025-3-26 23:30 作者: lanugo 時間: 2025-3-27 01:26
e entity. This observation has led to the introduction of invariant machine learning methods, for example techniques that ignore shifts, rotations, or light and pose changes in images. These approaches typically utilize pre-defined invariant features or invariant kernels, and require the designer to作者: 石墨 時間: 2025-3-27 08:14 作者: 傾聽 時間: 2025-3-27 13:24
Hans Gruber,Christian Harteistion that reads the cards, and links their lemmas to a searchable list of dictionary entries, for a large historical dictionary entitled the ., which comprizes 2.8 million index cards. We apply a tailored handwritten text recognition (HTR) solution that involves (1) an optimized detection model; (2)作者: hypertension 時間: 2025-3-27 14:30 作者: agnostic 時間: 2025-3-27 20:41 作者: Infect 時間: 2025-3-28 01:32
Hans Gruber,Christian Harteision. Our model mainly depends on converting the digital data to a virtual environment with paths classified based on the allocation of the data in the original image. Then, we introduce virtual tigers to the environment to begin the encoding process. Tiger agents are separated from each other, and t作者: 成份 時間: 2025-3-28 04:43
Hans Gruber,Christian Harteish tedious processing techniques. With the advent of CNN and deep learning models have greatly accelerated the job of scene classification. In our paper we have considered an area of application where the deep learning can be used to assist in the civil and military applications and aid in navigation作者: 誤傳 時間: 2025-3-28 10:10
Hans Gruber,Christian Harteish tedious processing techniques. With the advent of CNN and deep learning models have greatly accelerated the job of scene classification. In our paper we have considered an area of application where the deep learning can be used to assist in the civil and military applications and aid in navigation作者: Incompetent 時間: 2025-3-28 14:00
