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Article
Publication date: 12 July 2018

Chin-Yuan Lai and Yung-Chin Yen

This paper aims to illustrate how mobile devices could be applied to substantiate cognitive apprenticeship model to optimize nursing students’ learning experiences in clinical…

Abstract

Purpose

This paper aims to illustrate how mobile devices could be applied to substantiate cognitive apprenticeship model to optimize nursing students’ learning experiences in clinical settings.

Design/methodology/approach

Eight female students from a nursing college in Taiwan were recruited in this study. They enrolled in a three-week nursing clinical practicum session in the area of psychiatric nursing.

Findings

Analysis of interview data from students and instructor showed that use of the mobile technology could promote the effectiveness of cognitive apprenticeship model, especially for processes of reflection, coaching, scaffolding and articulation.

Originality/value

The present study intended to bridge the gap between mobile technologies and cognitive apprenticeship. This study explores students’ experiences and expectations of using mobile technology in clinical nursing courses and clarifies how the cognitive apprenticeship model fits students’ experiences during using mobile technology in the clinical nursing course.

Details

Interactive Technology and Smart Education, vol. 15 no. 4
Type: Research Article
ISSN: 1741-5659

Keywords

Content available
Article
Publication date: 15 January 2019

Dirk Ifenthaler, Demetrios G. Sampson, Michael J. Spector and Pedro Isaias

713

Abstract

Details

Interactive Technology and Smart Education, vol. 15 no. 4
Type: Research Article
ISSN: 1741-5659

Article
Publication date: 5 June 2017

Shu-Hao Chang and Chin-Yuan Fan

Innovation plays a pivotal role in a national economy and in the research and development of science and technology. Because the elements, capability and development direction of…

Abstract

Purpose

Innovation plays a pivotal role in a national economy and in the research and development of science and technology. Because the elements, capability and development direction of innovation in various countries are dissimilar, national innovative capacity also varies by country. However, previous studies have predominantly measured national innovative capacity through empirical studies by using a single index of innovation output, ignoring that the forms of innovation are heterogeneous across countries and failing to examine the influence exerted by various innovation models on economic development. Thus, the purpose of this study is to fill this gap by using scientific driving force and technological driving force to present the influence of national innovative capacities on economic development.

Design/methodology/approach

This study used regression models to test the influence of different national innovative capacities (i.e. scientific and technological driving forces) on economic development and stability.

Findings

Using the data of 60 countries, this study determined that both scientific and technological driving forces influenced economic development; specifically, scientific driving force affected economic development through technological driving force. Moreover, both research paper quality and patent quality positively influenced economic stability, but patent quality was the mediator.

Originality/value

This study examined scientific output from both quantitative and qualitative perspectives to determine their influence on economic growth and particularly on economic stability, which lacks dedicated studies. This study strives to bridge this gap in the literature by asserting, from the concept of economic resilience, that high-quality science and technology can strengthen the stability of a country’s economy.

Details

International Journal of Innovation Science, vol. 9 no. 2
Type: Research Article
ISSN: 1757-2223

Keywords

Article
Publication date: 6 May 2021

Zhe Wang, Xisheng Li, Xiaojuan Zhang, Yanru Bai and Chengcai Zheng

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

Sensor Review, vol. 41 no. 2
Type: Research Article
ISSN: 0260-2288

Keywords

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