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Bárbara Mariana Gutiérrez-Pérez; Antonio Víctor Martín-García – Journal of Educators Online, 2023
Quality assessment systems have recently expanded, serving as indicators for the assessment and ranking of higher education institutions worldwide. The growing development of new educational methodologies, like Blended Learning, requires the design and validation of tools that allow for their assessment. The objective of this article is to…
Descriptors: Psychometrics, Validity, Educational Quality, Blended Learning
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James, David; Schraw, Gregory; Kuch, Fred – Assessment & Evaluation in Higher Education, 2019
We proposed an extended form of the Govindarajulu and Barnett margin of error (MOE) equation and used it with an analysis of variance experimental design to examine the effects of aggregating student evaluations of teaching (SET) ratings on the MOE statistic. The interpretative validity of SET ratings can be questioned when the number of students…
Descriptors: Student Evaluation of Teacher Performance, Statistical Analysis, Validity, Computation
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Zulfa; Nusi, Ahmad; Ananda, Azwar; Efi, Agusti; Pernantah, Piki Setri – International Journal of Instruction, 2022
This study aims to find a simulation project-based learning model for the Minangkabau Natural Culture subject in higher education. This research method uses the research and development (R and D) development procedure using the Plomp development design that goes through 3 steps, namely: Preliminary Research, Prototyping Phase, and Assessment…
Descriptors: Student Projects, Active Learning, Higher Education, Models
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Holland, Charlotte; Lorenzi, Francesca; Hall, Tony – Policy Futures in Education, 2016
The current recessionary economic climate in Ireland has (re-) awakened a neoliberal agenda that is changing the dynamic of what is being valued within research assessment exercises, specifically across Arts, Humanities and Social Sciences (AHSS) disciplines in higher education. Research assessment exercises in AHSS disciplines now place a greater…
Descriptors: Foreign Countries, Anxiety, Higher Education, Performance
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Jones, Lewis C. R.; McDermott, Hilary J.; Tyrer, John R.; Zanker, Nigel P. – European Journal of Engineering Education, 2018
The supply of students motivated to study engineering in higher education is critical to the sector. Results are presented from the 'Mindsets STEM Enhancement Project.' Fifty-seven new resources packs, designed to improve STEM education in Design and Technology, were given to schools across London. A modified Intrinsic Motivation Inventory…
Descriptors: Engineering Education, Secondary School Students, Student Motivation, STEM Education
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Maxwell-Stuart, Rebecca; Taheri, Babak; Paterson, Audrey S.; O'Gorman, Kevin; Jackson, William – Studies in Higher Education, 2018
This study extends our knowledge on co-creation of value in higher education. The paper examines the relationship between support, co-creation of value and students' satisfaction, as well as moderating factors including mode of study and fee status, via 979 survey responses from undergraduate students. Analysis using partial least squares found…
Descriptors: Student Attitudes, Higher Education, Undergraduate Students, Fees
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Hsieh, Ming-Yuan – EURASIA Journal of Mathematics, Science & Technology Education, 2016
Because the development of Taiwanese Massive Open Online Course (MOOCs) websites is at this moment full of vitality, this research employs a series of analytical cross-measurements of Quality Function Deployment method of House of Quality (QFD-HOQ) model and Multiple Criteria Decision Making (MCDM) methodology to cross-evaluate the weighted…
Descriptors: Electronic Learning, Online Courses, Higher Education, Foreign Countries
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Rathwell, Scott; Young, Bradley W. – Measurement in Physical Education and Exercise Science, 2016
Limited tools assess positive development through university sport. Such a tool was validated in this investigation using two independent samples of Canadian university athletes. In Study 1, 605 athletes completed 99 survey items drawn from the Youth Experience Scale (YES 2.0), and separate a priori measurement models were evaluated (i.e., 99…
Descriptors: Factor Analysis, Structural Equation Models, College Athletics, Athletes
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Zhoc, Karen C. H.; Li, Johnson C. H.; Webster, Beverley J. – Journal of Psychoeducational Assessment, 2017
Emotional Intelligence Scale (EIS) is a popular EI measure. Yet, it has been criticized for an unclear factor structure, and its psychometric properties were mainly examined in the Western context. This study was to evaluate its psychometric properties based on 1,724 Hong Kong undergraduate students, including its (a) factor structure, (b)…
Descriptors: Validity, Reliability, Emotional Intelligence, Measures (Individuals)
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Zimmermann, Judith; von Davier, Alina; Heinimann, Hans Rudolf – International Journal of Educational Management, 2017
Purpose: Graduate admission has become a critical process for quality assurance in tertiary education. Hitherto, most research has investigated the validity of admissions instruments. However, surprisingly little work has been conducted on the overall organization of admission, which often remains "informal, ad hoc, and lacking in…
Descriptors: College Admission, Decision Making, Validity, Admission Criteria
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McGowan, Veronica – International Journal of Education and Development using Information and Communication Technology, 2016
Institutional report cards are increasingly being used by higher educational institutions to present academic outcomes to external audiences of prospective students and parents, as well as program and institutional evaluators. While some prospective students are served by national transparency measures most users mine information from the…
Descriptors: Institutional Evaluation, Educational Indicators, Accountability, Higher Education
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Green, Teegan – Studies in Higher Education, 2016
Despite increases in the number of articles published in higher education journals using structural equation modelling (SEM), research addressing their statistical sufficiency, methodological appropriateness and quantitative rigour is sparse. In response, this article provides a census of all covariance-based SEM articles published up until 2013…
Descriptors: Higher Education, Educational Research, Structural Equation Models, Sample Size
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Tymon, Alex; Batistic, Sasa – Teaching in Higher Education, 2016
This study contributes to proactivity theory and debate on how universities meet competing stakeholder demands in an increasingly marketized higher education environment. We explore how the interplay between the stable facet of proactive personality and the situated behaviour of personal initiative influence academic performance. We hypothesized…
Descriptors: Academic Achievement, Employment Potential, Marketing, Higher Education
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Tataroglu, Eylem – Educational Research and Reviews, 2016
Meta-aesthetics is the aesthetic field relating to the images of products where the conversion value, separate from the product's function, takes part directly in its value. Meta-aesthetics is among the subjects that today's art and design world must address more sensitively. This study was based on a 2009 dissertation measuring university…
Descriptors: Comparative Analysis, Aesthetic Education, Aesthetics, Fine Arts
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Grapragasem, Selvaraj; Krishnan, Anbalagan; Joshi, Prem Lal; Krishnan, Shubashini; Azlin, Azlin – International Journal of Higher Education, 2015
The classroom is a learning environment where active interactions and meaningful learning occur between learners and knowledge providers. The teachers and the learners have a unique relationship and this relationship is highly determined by their backgrounds and experiences. Teachers have the responsibility to manage the classroom with the aim of…
Descriptors: Classroom Techniques, Teacher Attitudes, Statistical Analysis, Foreign Countries
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