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Article
Publication date: 29 December 2022

Chunxia Qi, Mun Yee Lai, Lizhe Liu, Siyu Zuo, Haili Liang and Ruisi Li

This study explored how teachers change, what teachers learn and how they learn during the implementation of project-based learning through lesson study.

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Abstract

Purpose

This study explored how teachers change, what teachers learn and how they learn during the implementation of project-based learning through lesson study.

Design/methodology/approach

In this study, three university researchers, one doctoral student and six mathematics school teachers formed a lesson study team. Using a qualitative research method, this study employed a locally integrating networking strategy to combine the modified Interconnected Model of Teacher Professional Growth (IMTPG) and Bannister's framework to describe the teachers' knowledge change when participating in a lesson study on project-based learning.

Findings

The research revealed that the school teachers' knowledge about authenticity and assessment in the context of project-based learning was changed after the lesson study and how the changes were triggered.

Originality/value

The study demonstrates how the networking of two different theories—modified IMTPG and Bannister's framework—contributes to a better understanding of the process of teachers' collective practice, as well as the knowledge change in PjBL. This networking was done by combining the two theories, which were superimposed at the domain of practice.

Details

International Journal for Lesson & Learning Studies, vol. 12 no. 1
Type: Research Article
ISSN: 2046-8253

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Article
Publication date: 28 March 2023

Siyu Su, Youchao Sun, Yining Zeng and Chong Peng

The use of aviation incident data to carry out aviation risk prediction is of great significance for improving the initiative of accident prevention and reducing the occurrence of…

213

Abstract

Purpose

The use of aviation incident data to carry out aviation risk prediction is of great significance for improving the initiative of accident prevention and reducing the occurrence of accidents. Because of the nonlinearity and periodicity of incident data, it is challenging to achieve accurate predictions. Therefore, this paper aims to provide a new method for aviation risk prediction with high accuracy.

Design/methodology/approach

This paper proposes a hybrid prediction model incorporating Prophet and long short-term memory (LSTM) network. The flight incident data are decomposed using Prophet to extract the feature components. Taking the decomposed time series as input, LSTM is employed for prediction and its output is used as the final prediction result.

Findings

The data of Chinese civil aviation incidents from 2002 to 2021 are used for validation, and Prophet, LSTM and two other typical prediction models are selected for comparison. The experimental results demonstrate that the Prophet–LSTM model is more stable, with higher prediction accuracy and better applicability.

Practical implications

This study can provide a new idea for aviation risk prediction and a scientific basis for aviation safety management.

Originality/value

The innovation of this work comes from combining Prophet and LSTM to capture the periodic features and temporal dependencies of incidents, effectively improving prediction accuracy.

Details

Aircraft Engineering and Aerospace Technology, vol. 95 no. 7
Type: Research Article
ISSN: 1748-8842

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Article
Publication date: 25 March 2022

Ratri Parida, Rajesh Katiyar and Kirti Rajhans

Achieving sustainable development in terms of people, prosperity and partnership is the main aspect in any country’s plan for development. This sustainable development has to be…

591

Abstract

Purpose

Achieving sustainable development in terms of people, prosperity and partnership is the main aspect in any country’s plan for development. This sustainable development has to be achieved in three major dimensions, that is, economic, social and environmental in an integrated, balanced and systematic way. The same is highlighted in the United Nations’ (UN) vision for sustainable development by 2030. The purpose of this study is to identify the critical barriers of urban sustainability and gender equality with reference to Indian context, to suggest the strategies to achieve sustainable development in the referred area and to evaluate the relationship between them.

Design/methodology/approach

The major contribution of this study lies in the development of a contextual relationship model from the various identified critical barriers in Indian context, using interpretive structural modeling with MICMAC analysis.

Findings

Of the 17 goals given by UN, considering the Indian context, the goals of building resilient infrastructure, promoting inclusive and sustainable industrialization and fostering innovation; promoting sustained and inclusive economic growth along with full and productive employment and decent work for all; and gender equality and empowering women at all levels seem to be the major challenges and the same are selected in this study for further analysis. To understand the major challenges in these areas and also to find the way forward, the study has set following three major objectives: to identify the critical barriers of urban sustainability and gender equality with reference to Indian context; to suggest the strategies to achieve sustainable development in the referred area; and to evaluate the relationship between them.

Originality/value

Considering the highly volatile and complex demand requirements, this approach may help to enable the government to tackle issues/challenges related to both urban sustainability and gender inequality on priority basis and in a holistic manner to achieve the goals of sustainable development, thereby improving the quality of life.

Details

Journal of Modelling in Management, vol. 18 no. 3
Type: Research Article
ISSN: 1746-5664

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