The quality of teaching has a clear impact on student success, but how can good teaching be defined? The European QualiTePE research project, funded by the Erasmus+ programme and involving ten European countries, seeks to adress this question specifically for Physical Education (PE). The QualiTePE instrument was designed for use in teacher training and further training to enable criteria-based observation and assessment of the quality of Physical Education lessons. The instrument is designed for diverse PE teaching and learning scenarios, alongside teacher resources, facilitating the practical assessment of teaching quality in PE. The QualiTePE instrument quantifies teaching quality by assessing specific, observable teaching characteristics via questionnaire items. Each assessment is conducted by three different population groups: 1) the students 2) the PE teacher 3) an observer. The comparative analysis of the data collected from these three perspectives enables systematic and criteria‐based feedback for (prospective) teachers, identifies areas of improvement, and informs content development for PE across Europe. The QualiTePE digital web-based evaluation tool for assessing the “Quality of Teaching in Physical Education” is now available in English, German, French, Italian, Spanish, Dutch, Swedish, Slovenian, Czech and Greek.
There are lots of definitions of quality, and also of quality in education. Garvin (1984)discerns five approaches: the transcendental approach, the product-oriented approach, the customeroriented approach, the manufacturing-oriented approach and the value-for-money approach. Harvey and Green (1993) give five interrelated concepts of quality as: exceptional, perfection (or consistency), fitness for purpose, value for money and transformative. A new definition of quality is needed to explain recent quality issues in higher education. This article describes a quality concept with four constituents: object, standard, subject and values. The article elaborates on the values. Four value systems derived from Beck and Cowan (1996) are transformed into four value systems on quality and quality management: control, continuous improvement, commitment and breakthrough. These value systems make it possible to explain some recent developments in quality management in higher education.
BACKGROUND: The quality standards of the Dutch Society of Intensive Care require monitoring of the satisfaction of patient's relatives with respect to care. Currently, no suitable instrument is available in the Netherlands to measure this. This study describes the development and psychometric evaluation of the questionnaire-based Consumer Quality Index 'Relatives in Intensive Care Unit' (CQI 'R-ICU'). The CQI 'R-ICU' measures the perceived quality of care from the perspective of patients' relatives, and identifies aspects of care that need improvement.METHODS: The CQI 'R-ICU' was developed using a mixed method design. Items were based on quality of care aspects from earlier studies and from focus group interviews with patients' relatives. The time period for the data collection of the psychometric evaluation was from October 2011 until July 2012. Relatives of adult intensive care patients in one university hospital and five general hospitals in the Netherlands were approached to participate. Psychometric evaluation included item analysis, inter-item analysis, and factor analysis.RESULTS: Twelve aspects were noted as being indicators of quality of care, and were subsequently selected for the questionnaire's vocabulary. The response rate of patients' relatives was 81% (n = 455). Quality of care was represented by two clusters, each showing a high reliability: 'Communication' (α = .80) and 'Participation' (α = .84). Relatives ranked the following aspects for quality of care as most important: no conflicting information, information from doctors and nurses is comprehensive, and health professionals take patients' relatives seriously. The least important care aspects were: need for contact with peers, nuisance, and contact with a spiritual counsellor. Aspects that needed the most urgent improvement (highest quality improvement scores) were: information about how relatives can contribute to the care of the patient, information about the use of meal-facilities in the hospital, and involvement in decision-making on the medical treatment of the patient.CONCLUSIONS: The CQI 'R-ICU' evaluates quality of care from the perspective of relatives of intensive care patients and provides practical information for quality assurance and improvement programs. The development and psychometric evaluation of the CQI 'R-ICU' led to a draft questionnaire, sufficient to justify further research into the reliability, validity, and the discriminative power of the questionnaire.
MULTIFILE
Smart city technologies, including artificial intelligence and computer vision, promise to bring a higher quality of life and more efficiently managed cities. However, developers, designers, and professionals working in urban management have started to realize that implementing these technologies poses numerous ethical challenges. Policy papers now call for human and public values in tech development, ethics guidelines for trustworthy A.I., and cities for digital rights. In a democratic society, these technologies should be understandable for citizens (transparency) and open for scrutiny and critique (accountability). When implementing such public values in smart city technologies, professionals face numerous knowledge gaps. Public administrators find it difficult to translate abstract values like transparency into concrete specifications to design new services. In the private sector, developers and designers still lack a ‘design vocabulary’ and exemplary projects that can inspire them to respond to transparency and accountability demands. Finally, both the public and private sectors see a need to include the public in the development of smart city technologies but haven’t found the right methods. This proposal aims to help these professionals to develop an integrated, value-based and multi-stakeholder design approach for the ethical implementation of smart city technologies. It does so by setting up a research-through-design trajectory to develop a prototype for an ethical ‘scan car’, as a concrete and urgent example for the deployment of computer vision and algorithmic governance in public space. Three (practical) knowledge gaps will be addressed. With civil servants at municipalities, we will create methods enabling them to translate public values such as transparency into concrete specifications and evaluation criteria. With designers, we will explore methods and patterns to answer these value-based requirements. Finally, we will further develop methods to engage civil society in this processes.
