Does quality work work? A systematic review of academic literature on quality initiatives in higher education

Bloch, Carter Walter; Degn, Lise; Nygaard, Signe; Haase, Sanne Schioldann

doi:10.1080/02602938.2020.1813250

Cited by 20 publications

(26 citation statements)

References 60 publications

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“…However, the research on curriculum quality has not been independent and has received due attention. As we all know, curriculum plays a central role in the entire education system, and education and teaching activities are also carried out on the basis of curriculum, which is the basic embodiment of educational goals and training goals [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Higher Education Course Evaluation Based on Deep Learning Model

Zheng

2022

Wireless Communications and Mobile Computing

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Higher education has completed a revolutionary transition stage from traditional elite education to mass quality education, and the improvement of higher education quality has increasingly become the focus of social attention. Courses are the most basic unit of university teaching, and the quality of courses directly affects the quality of personnel training. The expansion of higher education has resulted in insufficient teaching resources and a decline in the quality of courses. Improving quality is the eternal theme of higher education reform. How to formulate scientific curriculum quality standards and objectively evaluate curriculum quality is the most concerned issue of the society. Therefore, in-depth analysis of the factors that affect the quality of the curriculum and the establishment of the curriculum quality evaluation system and method has certain practical significance for improving the quality of the curriculum. This work combines the evaluation of higher education courses with deep learning models and proposes a network MSACNN for quality evaluation of higher education courses. This work proposes to use an attention-based multiscale network to explicitly learn the relationship between the qualities of various higher education courses. By using parallel networks with different convolution kernels, it combines different scale features at the same spatial location to better learn the relationship between the quality features of higher education courses. This work conducts sufficient experiments on the higher education curriculum quality dataset, and the experimental results demonstrate that the multiscale network based on the attention mechanism exhibits superior performance. MSACNN surpasses other machine learning methods in both precision and recall metrics.

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Section: Introductionmentioning

confidence: 99%

Higher Education Course Evaluation Based on Deep Learning Model

Zheng

2022

Wireless Communications and Mobile Computing

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“…On the one hand these policies advocate quality measurements while at the same time they have complicated the concept of quality and raised questions over performance management questioning what good performance is (Cave et al 1995 ). Performance Management remains fragmented and undefined (Bloch et al 2021 ). One major reason may be the lack of genuine attention by policy makers to performance quality, especially in terms of defining it (Pechmann and Haase 2021 ).…”

Section: Problems In Performance Managementmentioning

confidence: 99%

“…Recent practices focused upon quality can be divided into two categories. The first is ‘promoting knowledge reflection and transfer’ and ‘promoting feedback and observation processes’ (Bloch et al 2021 ). The second category involved competence development programmes focused mostly on initiatives such as promoting an active role for students in learning (Bloch et al 2021 ).…”

Section: Problems In Performance Managementmentioning

confidence: 99%

“…The first is ‘promoting knowledge reflection and transfer’ and ‘promoting feedback and observation processes’ (Bloch et al 2021 ). The second category involved competence development programmes focused mostly on initiatives such as promoting an active role for students in learning (Bloch et al 2021 ). According to Pechmann and Haase ( 2021 ), this continued existential crisis of ‘quality’ seemed to benefit policy makers as it is such a broadly defined and used term.…”

Section: Problems In Performance Managementmentioning

confidence: 99%

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Performance measurement and management in the British higher education sector

et al. 2022

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Theoretical enquiry and empirical studies demonstrate the significance of performance management (PM) in the higher education sector and it is a fulcrum for developing a strategic role for people management within universities. In spite of the perceived weaknesses of people management in the higher education sector, in general, the current period of rapid and substantial contextual change may necessitate greater formalisation of HR practices across the British higher education sector. In addition to the changing role of the HR function and line managers, these developments may result in an increasingly stringent performance regime across the sector, especially in more hard-pressed institutions. Through a literature review and a pilot study, this paper attempts to address two main research questions: (i) what are the current performance management practices in the British Higher Education sector? and (ii) what needs to be done to strategically align these practices within HEIs in the UK? This paper discusses the wider literature related to performance management in general and to academic institutions in particular. We also undertook a small-scale qualitative study to explore the views of HR professionals on the need for, and the current performance measurement systems in their universities in the UK. The preliminary findings confirmed that PM is a key issue in the respondents' institutions, with substantial and recent changes in policy. This underscores the need for a large-scale research agenda to capture the current dynamics of change the sector is undergoing. The paper concludes by stimulating a policy debate and placing a number of research calls, along with suggestions on how these research questions may be investigated.

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“…by Crozier et al (2006), Mudra (2015), Moroz and Moroz (2017), Schindler et al (2015) whose publications focus on the analysis, systematization, and synthesis of relevant terminology. The systematic review of academic literature on quality initiatives in higher education for 2008-2018 years conducted by Bloch et al (2021) showed its categorization "into three major areas:…”

Section: Literature Reviewmentioning

confidence: 99%

Construyendo el marco terminológico para la investigación: estudio de caso sobre la establecimiento del sistema de garantía interna de calidad en HEI

et al. 2022

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El artículo se centra en temas de construcción del aparato terminológico de estudios que reflejen la garantía de calidad de la educación a nivel local. Basado en la recopilación de opiniones de expertos y académicos, se destacan la esencia del área temática (la formación de un sistema de garantía interna de la calidad en la universidad) y los requisitos para la construcción del sistema terminológico. La construcción de alta calidad del término sistema es la base de la investigación teórica cualitativa, del desarrollo y la aplicación práctica del sistema interno de garantía de la calidad en la universidad. Los modelos de sistemas de términos se presentan en: términos básicos, y términos suplementarios. La tecnología cómo construir el sistema del término contiene las etapas siguientes: 1) identificar las áreas problemáticas, aclarando el tema y los objetivos del estudio; 2) muestreo y análisis del contenido de los términos básicos y complementarios; 3) racionalizar y estructurar las relaciones entre los términos básicos y complementarios; 4) especificar y verificar la calidad del sistema de términos para el cumplimiento del estudio. Los profesionales reciben apoyo terminológico para el caso de la construcción de un sistema interno de garantía de calidad en sus universidades.

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Does quality work work? A systematic review of academic literature on quality initiatives in higher education

Abstract: This is the accepted manuscript (post-print version) of the article.Contentwise, the post-print version is identical to the final published version, but there may be differences in typography and layout.

Cited by 20 publications

References 60 publications

Higher Education Course Evaluation Based on Deep Learning Model

Higher Education Course Evaluation Based on Deep Learning Model

Performance measurement and management in the British higher education sector

Construyendo el marco terminológico para la investigación: estudio de caso sobre la establecimiento del sistema de garantía interna de calidad en HEI

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