scholarly journals The Power of Self-evaluation Based Cross-Sparring in Developing the Quality of Engineering Programmes

Author(s):  
Katriina Schrey-Niemenmaa ◽  
Robin Clark ◽  
Ásrún Matthíasdóttir ◽  
Fredrik Georgsson ◽  
Juha Kontio ◽  
...  
Keyword(s):  
2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Samuel Frey ◽  
Lucile Figueres ◽  
François Pattou ◽  
Maëlle Le Bras ◽  
Cécile Caillard ◽  
...  

PEDIATRICS ◽  
1983 ◽  
Vol 72 (4) ◽  
pp. 577-577
Author(s):  
J. B. GOUYON ◽  
M. ALISON ◽  
J. L. NIVELON ◽  
L. DUSSERRE

To the Editor.— We have been very interested in the various uses of microcomputers in pediatric units as proposed by Schwartz and Hammer.1 Following our experience in a neonatal unit, we have found another utilization.2 Microcomputers can be used for self-evaluation of the quality of care treatment in a pediatric unit. According to the number of variables studied, a microcomputer or minicomputer could be used. For example, using a minicomputer (Hewlett-Packard 9045 B), we store 400 variables for each newborn.


2003 ◽  
Vol 3 ◽  
pp. 412-421 ◽  
Author(s):  
Soren Ventegodt ◽  
Eskild W. Henneberg ◽  
Joav Merrick ◽  
Jes S. Lindholt

Population screening may harm quality of life (QoL), and traditional health-related QoL tools could be inadequate to evaluate this risk. Two global and generic QoL instruments were developed for studying the QoL consequences of screening (SCREENQOL), and QoL variation in a normal population (SEQOL). SCREENQOL and SEQOL (Self-Evaluation of Quality of Life Questionnaire) are self-administered questionnaires with items rated on 5-point Likert scales. SCREENQOL consists of 21 items measuring QoL across 6 different dimensions based upon validated QoL questionnaires. SEQOL consists of 317 items measuring QoL across 8 different dimensions, based on an integrative theory of QoL, a theoretical framework from a Danish QoL survey involving 7,222 persons 31 to 33 years old. For further validation, SEQOL and SCREENQOL were sent to 2,460 persons 18 to 88 years old randomly selected from the Danish Central Person Register together with Nottingham Health Profile (NHP) and Sickness Impact Profile (SIP). For SCREENQOL and SEQOL, test-retest reliability correlation was both >0.8, Cronbach�s alpha was 0.65 and 0.75, correlation (r) to NHP was 0.67 and 0.49, to SIP 0.46 and 0.27, respectively (p


2020 ◽  
Vol 4 (2) ◽  
pp. 135-149
Author(s):  
Etrie Jayanti

Abstract: According to demands of curriculum 2013, assessment carried out on school should have led to increasing of higher order thinking skill. The lack of availability of questions are specifically designed to develop student’s higher order thinking skill causes students are not really proficient in solving higher order thinking skill questions. This study was research and development research purposing to determine development steps and quality of higher order thinking skill test instrument in one of high schools chemistry topic, i.e. colloid. The process of developing a higher order thinking skill test instrument used a formative research designed by Tessmer through 4 stages, namely: preliminary, self-evaluation, prototyping (expert reviews, one-to-one and small group) and field test. The data were obtained from the results of filling out validation sheets by expert reviews, questionnaires filled out by students, and test/trial of higher order thinking skill test instrument on students. The results of the development were categorically valid logically and empirically. The reliability of the test instrument was 0,65 with the high category. The item’s difficulty level was in the medium category. Six questions had good distinguishing power and one question had enough distinguishing power. The higher order thinking skill of students were in excellent, good, adequate, lacking and very poor categories respectively: 15,14%;  12,12%;  42,42%;  24,24%;  6,06%.


2018 ◽  
Vol 6 (1) ◽  
pp. 18-18
Author(s):  
Семен Резник ◽  
Semen Reznik

The article discusses methodological approaches to the preparation, writing and submission of scientific articles to the journal. Particular attention is paid to the generalization of typical mistakes of young scientists in writing articles, as well as the criteria for self-assessment of the quality of the article prepared for submission to the scientific journal. The materials of the article are based on the author's many years of experience in the management of the dissertation Council, work in the expert Council of the WAC, editorial boards of scientific economic journals, his research, published monographs, textbooks and scientific articles, management of the preparation of candidate and doctoral theses, as well as on the experience and recommendations of well-known scientists.


Author(s):  
Zulaima Chiquin ◽  
Kenyer Domínguez ◽  
Luis E. Mendoza ◽  
Edumilis Méndez

This chapter presents a Model to Estimate the Human Factor Quality in Free/Libre Open Source Software (FLOSS) Development, or EHFQ-FLOSS. The model consists of three dimensions: Levels (individual, community, and foundation), Aspects (internal or contextual), and Forms of Evaluation (self-evaluation, co-evaluation, and hetero-evaluation). Furthermore, this model provides 145 metrics applicable to all three levels, as well as an algorithm that guides their proper application to estimate the systemic quality of human resources involved in the development of FLOSS, guide the decision-making process, and take possible corrective actions.


Author(s):  
Kenneth J. Gergen ◽  
Scherto R. Gill

Relationships are of paramount importance for adolescents whose lives are undergoing changes in many dimensions. With appropriate support and care grounded in relational processes, young people can more readily overcome disaffection and apathy. In this chapter, the authors place special emphasis on the quality of interaction and exchange among students and between students and teachers, especially when exploring and reflecting on their experiences and processes of learning. Carefully facilitated dialogic and collaborative approaches in the classroom can provide meaningful feedback on the learning tasks as well as help sustain students’ engagement in learning. Other practices such as portfolio work, learning agreements, journaling, and personal records can further nurture students’ capacity to reflect on learning, including self-evaluation and co-evaluation with peers. Likewise, learning groups and collaborative projects are excellent illustrations of how a relational orientation to evaluation can enrich students’ potential to build positive relations with others and with learning.


Author(s):  
Komang Budiarta ◽  
Putu Agung Ananta Wijaya ◽  
Cokorde Gede Indra Partha

College accreditation by BAN-PT is one of the parameters in determining the quality of universities in Indonesia. As consideration to achieve the standard from BAN-PT, so they have an evaluation process itself in study program or college to be meet the standard universities when set by the BAN-PT. In carrying out the process of self evaluation, required data source that is used as the basis in assessing on a criteria. In most of the study program, all data spread on the system information and physical document that different, that is require more time and effort to integrate up to interpret. Data warehouse fight important in collecting data that spread and become an information. The process data warehouse with ETL used to integrate, extract, clean, transforming and reload into the data warehouse. With the existence of the data warehouse on Academic STIMIK STIKOM Bali can make it easier for executives to get the information to support the standard accreditation standart three and can be used as a reference in decision making.


Author(s):  
Johan Malmqvist

The CDIO approach intends to raise the quality of engineering education programs, worldwide by including a number of quality assurance (QA) tools such as the CDIO Standards, Syllabus, and self-evaluation model. CDIO programmes are also evaluated by external standards. Therefore, a CDIO programme needs a quality assurance system that fulfills external requirements and is able to produce the necessary evidence and documentation with minimal additional effort above and beyond the CDIO QA components. Efficient execution of this task requires understanding the similarities and differences between the CDIO and external quality assurance systems, in this case, the European Accreditation of Engineering Programmes (EUR-ACE) system. This article compares and contrasts these two QA approaches, in particular the CDIO Syllabus and the EUR-ACE programme outcomes and the CDIO Standards and EUR-ACE accreditation criteria. Also considered are the pros and cons of a continuous improvement rating scale-based system and a threshold-based accreditation model.


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