Search results

Lesson study (LS) is generally regarded as a pathway for teachers' professional development and a method for teachers' instructional research. LS has been regarded as having the potential to drive large-scale reform but little is known about how it does so from a district level. Therefore, this paper aims to reveal how lesson study promote district education reform.

This study offers an in-depth case study of how District Y of Shanghai, China, took LS as the primary method in promoting its District Project of Building Curriculum Leadership in Schools. By analyzing the key project documents and achievements in project promotion, and interviews with the major Project leaders at District and school levels, this study explored the practice and impact of LS as a tool to promote district reform.

In the District Project, LS has been a medium to address each individual school's real problems of practice and turn them into reform vision and reform will in alignment with District goals. Five levels of school curriculum texts have been planned, designed, translated, implemented, reflected on, updated and mutually adjusted systematically through LS to ensure consistency in transforming District reform vision into classroom practice. Different models of teaching-research community building were found in sampled project schools and professional expertise was built with district support to promote reform. The curriculum leadership development through LS has shaped reform leader schools and formed a collection of LS exemplars circulated in schools as high-quality curriculum packages, which laid the foundation for district-wide reform.

The innovative practice of LS in China's education reform has expanded its reach from within one classroom to the entire district curriculum system and made it an important tool to drive large-school district-based education reform.

The aim of this paper is to synthesise polyester/silica hybrid resins and their hybrid polyurethanes via in situ (IS) and blending (BL) methods and to evaluate the effect of preparation method, interaction type and silica content on the physico‐chemical and thermal properties of polyurethane/silica (PU/Silica) hybrid coatings.

Silica particle‐containing silica sol was prepared according to Stöber method using tetraethylorthosilicate as the precursor and then introduced into polyester matrix by in situ and direct blending method. The modified polyester/silica resin was further crosslinked with TMP‐TDI adduct to synthesise PU/Silica hybrid coatings and studied for thermo‐mechanical, physico‐chemical properties.

It was found IS polymerisation caused more polyester segments to chemically bond onto the surface of silica particles than BL process. Results also reveal that due to stronger interaction between silica particles and PU matrix, hybrid resins prepared by IS method confers better properties than BL method and exhibit optimal properties at the critical concentration of 8 wt% silica.

In the present study, silica particles are used to modify properties of polyurethane resins. Many other countless combinations in terms of inorganic filler or organic matrices can be explored to obtain a wide range of interesting properties and applications.

The results obtained in this study will be extremely useful to enhance the understanding of this class of hybrid materials.

Hybrid organic‐inorganic networks offer a new area of material science that has extraordinary implications for developing novel materials that exhibit a diverse range of multi‐functional properties.

The purpose of this paper is to present and develop an ontology-based approach for automatic generation of assembly sequences.

In this approach, an assembly sequence planning ontology is constructed to represent the structure and interrelationship of product geometry information and assembly process information. In the constructed ontology, certain reasoning rules are defined to describe the knowledge and experience. Based on the ontology with reasoning rules, the algorithm for automatically generating assembly sequences is designed and implemented.

The effectiveness of this approach is verified via applying it to generate the assembly sequences of a gear reducer.

The main contribution of the paper is presenting and developing an ontology-based approach for automatically generating assembly sequences. This approach can provide a feasible solution for the issue that mathematics-based assembly sequence generation approaches have great difficulty in explicitly representing assembly experience and knowledge.

The owners of mega projects typically assemble multiple academic research units and enterprises to form an innovation alliance, which carries out knowledge transfer and knowledge creation targeting technical challenges in the process of engineering construction. Due to high technical and management complexity of mega projects, factors affecting knowledge transfer among innovation subjects are complex and diverse. This study proposes a mixed system dynamics (SD) method to build and simulate the process of knowledge transfer in mega projects innovation and analyzes the driving mechanism that enhances knowledge stock of enterprises and engineering innovation results.

First, this paper proposes a conceptual model for knowledge transfer in mega projects by adopting event analysis of the data gained from investigations and interviews. Then, a qualitative model of knowledge transfer that considers mutual influences of the owner, academic research unit and enterprises is developed. Based on that, mathematical relationship among variables of the qualitative model is determined and a quantitative model of knowledge transfer that considers heterogeneity of knowledge sender is built. Finally, simulation is achieved using Vensim software.

The factors affecting knowledge stock of enterprises are analyzed from three aspects: (1) the individual motives and capability of academic research units and enterprises; (2) the gap between academic research units and enterprises; (3) the heterogeneity of academic research units. The results show that the willingness and capability of knowledge reception by enterprises, specific knowledge transfer context such as relational distance and organization distance between academic research units and enterprises and academic research units with high knowledge stock have key influences on the knowledge stock of enterprises.

Factors affecting knowledge transfer within the alliance of innovation in mega projects and their correlations are highly complicated and difficult to determine. Despite massive investigations and interviews on many long-span bridges in China in this study, it is barely possible to directly obtain accurate data for all variables in the model. Limitations of historical data result in limitations on applications of the proposed model.

By building the mega projects knowledge transfer model and conducting simulation analysis, this paper has generated practical values for the owners of mega projects on fostering, organizing, coordinating and managing of innovations. Especially, this study provides specific strategies and suggestions on selection of innovation subjects, motivation and guaranteed efficiency of knowledge transfer and knowledge creation of academic research units and enterprises.

This study proposes a conceptual model for factors affecting knowledge transfer that applies to innovations in mega project context, which fills the gap in the research of knowledge management in mega project innovations. Additionally, combining with the method of SD, the unique role of owner in knowledge transfer of mega projects and the differences among various knowledge senders and their influences on knowledge stocks of enterprises are thoroughly considered, and the research method of modeling and simulation of knowledge transfer mechanism is supplemented and extended.

How to model blind image deblurring that arises when a camera undergoes ego-motion while observing a static and close scene. In particular, this paper aims to detail how the blurry image can be restored under a sequence of the linear model of the point spread function (PSF) that are derived from the 6-degree of freedom (DOF) camera’s accurate path during the long exposure time.

There are two existing techniques, namely, an estimation of the PSF and a blind image deconvolution. Based on online and short-period inertial measurement unit (IMU) self-calibration, this motion path has discretized a sequence of the uniform speed of 3-DOF rectilinear motion, which unites with a 3-DOF rotational motion to form a discrete 6-DOF camera’s path. These PSFs are evaluated through the discrete path, then combine with a blurry image to restoration through deconvolution.

This paper describes to build a hardware attachment, which is composed of a consumer camera, an inexpensive IMU and a 3-DOF motion mechanism to the best of the knowledge, together with experimental results demonstrating its overall effectiveness.

First, the paper proposes that a high-precision 6-DOF motion platform periodically adjusts the speed of a three-axis rotational motion and a three-axis rectilinear motion in a short time to compensate the bias of the gyroscope and the accelerometer. Second, this paper establishes a model of 6-DOF motion and emphasizes on rotational motion, translational motion and scene depth motion. Third, this paper addresses a novel model of the discrete path that the motion during long exposure time is discretized at a uniform speed, then to estimate a sequence of PSFs.

Introduction: Numerous decision-making situations are faced in education where Artificial Intelligence may be prevalent as a decision-making support tool to capture streams of learners’ behaviours.

Purpose: The purpose of the present study is to understand the role of AI in student performance assessment and explore the future role of AI in educational performance assessment.

Scope: The study tries to understand the adaptability of AI in the education sector for supporting the educator in automating assessment. It supports the educator to concentrate on core teaching-learning activities.

Objectives: To understand the AI adaption for educational assessment, the positives and negatives of confidential data collections, and challenges for implementation from the view of various stakeholders.

Methodology: The study is conceptual, and information has been collected from sources comprised of expert interactions, research publications, survey and Industry reports.

Findings: The use of AI in student performance assessment has helped in early predictions for the activities to be adopted by educators. Results of AI evaluations give the data that may be combined and understood to create visuals.

Research Implications: AI-based analytics helps in fast decision-making and adapting the teaching curriculum’s fast-changing industry needs. Students’ abilities, such as participation and resilience, and qualities, such as confidence and drive, may be appraised using AI assessment systems.

Theoretical Implication: Artificial intelligence-based evaluation gives instructors, students, and parents a continuous opinion on how students learn, the help they require, and their progress towards their learning objectives.

Based on Chinese incubators as the research sample, this paper aims to examine whether and how incubators' entrepreneurial mentoring and financial support affect incubator patent licensing. Entrepreneurial mentoring functions through the buffering mechanism and financial support functions through the bridging and curating mechanisms.

A negative binomial model is used to empirically explain the relation between entrepreneurial mentoring or financial support and incubator patent licensing. In addition, a cross-sectional test is performed to explore whether province-level incubator support policies strengthen the effect of entrepreneurial mentoring and financial support on incubator patent licensing.

The results reveal that incubators' entrepreneurial mentoring positively affects patent licensing. In contrast, incubators' financial support has an inverted U-shaped relationship with patent licensing. In addition, the two relations are stronger when an incubator locates in a province with more incubator support policies.

The authors contribute to the literature on incubator performance by identifying an important but less discussed factor: entrepreneurial mentoring. Through the connection with mentors, tenants efficiently commercialize the value of their patents, facilitate patent licensing and expand the product market. Furthermore, the inverted U-shaped association between financial support and patent licensing shows that incubation support does not always have a linear effect on incubator patent licensing. Overall, this study provides evidence on the effect of incubator support on incubator patent licensing.

This paper aims to monitor the urban landscape through the perceptions of residents and visitors, identifying features that cause visual impacts and providing insights for landscape management decision-makers. Captured impressions about the city whilst moving around are important to assess the satisfaction of city residents and city visitors through key elements, such as directional signage, outdoor advertising, restaurants’ outdoor terrace furniture, urban furniture, green spaces, traffic, cleaning, pedestrian areas, visitor flow and conservation of monuments, museums and buildings.

A survey was applied in the historical Porto city centre (Portugal) to understand residents’ and visitors’ perceptions of the city landscape and assess the differences between these two groups. Cronbach’s alpha was used to assess the reliability of the constructs (dimensions) of urban landscape. Non-parametric Mann-Whitney test was used to find significant differences in the perceptions of residents and visitors.

The results suggest significant differences in the perceptions. Residents value more two constructs of the landscape (heritage conservation and transport mobility) whilst visitors value more other two (pedestrian mobility and aesthetic quality). It is showed that residents have a strong sense of place and are concerned with the conservation of historical heritage. Visitors are more concerned with dimensions intrinsically related to tourism.

This research allowed to fill a gap found in the literature, namely, the importance of considering the perceptions of different actors in the urban landscape monitoring. These results are an important contribution for local authorities to understand the value of urban landscape elements from the perspective of residents and visitors. This study opened the possibility of comparing the results from different historical cities centres.

The purpose of this paper is to examine consumer behavior towards Greek convenience stores chains and to determine the criteria on which store selection is based. The paper also analyses the stores’ position in the retail sector.

A random sample of 360 convenience store consumers was surveyed across four major cities. Data were collected through personal interviews, using a structured questionnaire. Statistical analysis was applied to further evaluate the information.

Consumers choose convenience stores mainly to cover their daily needs and save time on shopping, despite their dissatisfaction with the provided services. The survey also identified the characteristics of convenience store customers and their preferences.

The principal contribution of the present research is its focus on consumer behavior towards convenience stores in Greece.

China after 1949, especially since entering the 21st century, significant progress has been made in leadership research under Chinese context. However, so far there has been no systematic review and prospect of China's leadership research in the past 70 years. Therefore, with the help of scientific visualization software Citespace, this paper analyzes the research papers on leadership in the context of China from the top international journals of management science and applied psychology (1949–2018), supplemented and verified the previous research conclusions based on qualitative review, and quantitatively demonstrated the research evolution of leadership field.

Using a scientific visualization tool CiteSpace and 145 international leadership works, which were published in 64 top international journals and collected from the Web of Science database, and 852 domestic works which were published in 28 top domestic journals and collected from the CNKI database from 1949 to 2018, we draws keyword co-occurrence knowledge graph and keyword strategy map to visualize the landscape and evolution of leadership research and analyze the hot topics and research trends in the field of leadership.

The research found that: (1) Before 2002, there were only 7 articles published in 64 international top journal, mainly focusing on Western leadership theories such as transformational, cross-cultural comparison and the adaptability in Chinese context; (2) From 2003 to 2012, scholars had begun to introduce mainstream quantitative research paradigm in international academic community; (3) From 2013 to 2018, researches tended to be synchronized, with 461 and 99 papers published respectively. How emerging leaderships (such as ethical leadership) affect on various emerging outcome variables (such as creativity, voice behavior, unethical pro-organizational behavior etc.) is hot topic for future research.

Different from the previous qualitative reviews on organizational culture research, this paper, for the first time, uses bibliometric research methods to systematically analyze the evolution path of leadership research during the 70 years of China(1949–2018, and puts forward the future research prospects.