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Adhi Indra Hermanu; Diana Sari; Mery Citra Sondari; Muhammad Dimyati – International Journal of Educational Management, 2024
Purpose: This research aimed to examine the impact of input, process, output, productivity and outcome variables on university research performance and the indicators that represent them in order to improve academic quality and contribute to government policy. Design/methodology/approach: The quantitative approach was used through a survey method…
Descriptors: Foreign Countries, Universities, Institutional Research, Educational Research
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Yuan Cui; Xiao-Xi Xiao; Zhi-Li Zhan; Guo-Liang Yang – Research Evaluation, 2025
In the current higher education landscape, universities are facing expanding requirements beyond teaching and research. Evaluation methods must evolve accordingly to prevent universities from facing development dilemmas. Current mainstream evaluation methods primarily emphasize the research domain, often failing to holistically capture a…
Descriptors: Universities, Diversity, Equal Education, Evaluation Methods
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Kalkan, Ömür Kaya; Toprak, Emre – International Journal of Psychology and Educational Studies, 2022
All cognitive diagnostic models that evaluate educational test data require a Q-matrix that combines every item in a test with the required cognitive skills for each item to be answered correctly. Generally, the Q-matrix is constructed by education experts' judgment, leading to some uncertainty in its elements. Various statistical methods are…
Descriptors: Q Methodology, Matrices, Input Output Analysis, Models
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Quddus, Munir; Williams, Michael; Quazi, Rahim; Ojumu, Oluwagbemiga; Osho, Gbolahan – Research in Higher Education Journal, 2022
Prairie View A&M University (PVAMU) plays an important role in the social and economic life of the local, state and national economy. This study presents estimates of the economic impacts of the University's contributions, both short-term and long-term, on the local (Waller County), regional (Houston-The Woodlands-Sugar Land Metropolitan…
Descriptors: Universities, School Community Relationship, Economic Impact, Models
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Adhi Indra Hermanu; Diana Sari; Merry Citra Sondari; Muhammad Dimyati – Cogent Education, 2024
The study aims to investigate the mediating role of output, productivity, and outcome variables in the relationship between input or process variables and research performance. By examining how these variables interact, the study aims to enhance our understanding of the factors that influence research performance. This role was investigated using…
Descriptors: Mediation Theory, Models, Input Output Analysis, Productivity
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Herth, Annika; Blok, Kornelis – International Journal of Sustainability in Higher Education, 2023
Purpose: The purpose of this paper is to present a comprehensive analysis of the carbon footprint of the Delft University of Technology (TU Delft), including direct and indirect emissions from utilities, logistics and purchases, as well as a discussion about the commonly used method. Emissions are presented in three scopes (scope 1 reports direct…
Descriptors: Universities, Climate, Pollution, Real Estate
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Laursen, Bethany; O'Rourke, Michael – Issues in Interdisciplinary Studies, 2019
Integration is crucial to interdisciplinary and transdisciplinary work and it therefore deserves perennial attention by scholars and practitioners of such work. Few have thought so carefully, deeply, and tenaciously about integration as Julie Thompson Klein. In this article, we recount the development of Klein's thinking on integration, from her…
Descriptors: Interdisciplinary Approach, Educational Theories, Learning Theories, Input Output Analysis
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Shero, Jeffrey A.; Al Otaiba, Stephanie; Schatschneider, Chris; Hart, Sara A. – Journal of Experimental Education, 2022
Many of the analytical models commonly used in educational research often aim to maximize explained variance and identify variable importance within models. These models are useful for understanding general ideas and trends, but give limited insight into the individuals within said models. Data envelopment analysis (DEA), is a method rooted in…
Descriptors: Data Analysis, Educational Research, Nonparametric Statistics, Efficiency
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Stegemann, Kim Calder; Jaciw, Andrew P. – Learning Disabilities: A Contemporary Journal, 2018
Educational inclusion of children with special learning needs is a philosophy and movement with an international presence. Though Canada is a leader in educational inclusion, many would claim that our public educational systems have not yet fully realized the dream of inclusive education. As other countries have noted, making full-fledged changes…
Descriptors: Foreign Countries, Program Implementation, Inclusion, Models
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Parajuli, Rajan; McConnell, Eric; Tanger, Shaun; Henderson, James – Journal of Extension, 2019
State agencies and Extension professionals often employ IMPLAN software and associated data to conduct economic contribution analyses of the forest sector. Economic contribution reports often vary with regard to modeling, results presentation, and interpretation of estimates. We present practical guidelines for report users on how to better…
Descriptors: Forestry, Economic Impact, Input Output Analysis, Models
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Chang, Seung Ho; Lee, Jihyun – International Journal of Kinesiology in Higher Education, 2020
Physical education teachers should have sufficient content knowledge (CK) to provide high-quality physical education for students. CK is an important knowledge base for pedagogical content knowledge (PCK), which is considered the teacher's knowledge to adapt the instructions in the teaching and learning process. Mature PCK can be an indicator of…
Descriptors: Physical Education Teachers, Pedagogical Content Knowledge, Faculty Development, Inservice Teacher Education
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Moore, Kenneth; Coates, Hamish; Croucher, Gwilym – Studies in Higher Education, 2019
The paper contributes to the growing and often controversial study of higher education productivity measurement. The paper clarifies core productivity ideas, and considers alternative models for productivity assessment. Results from these models are explored using data from Australian higher education. Findings reveal implications for the…
Descriptors: Productivity, Higher Education, Measurement, Efficiency
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Basaran, Mehmet; Dursun, Busra; Gur Dortok, Hatice Damla; Yilmaz, Gokhan – Pedagogical Research, 2021
The main purpose of the research is the evaluation of the pre-school education program according to CIPP (context, input, process, and product) model belongs to Stufflebeam. Parallel design form mixed research methods was used in the research. Quantitative data of the research were collected from 122 preschool teachers working in public or private…
Descriptors: Program Evaluation, Preschool Education, Models, Public Schools
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Imansari, Nurulita; Sutadji, Eddy – International Journal of Evaluation and Research in Education, 2017
This evaluation is a conceptual framework that has been analyzed in the hope that can help research related an evaluation of the curriculum. The Model of evaluation used was CIPPO model. CIPPO Model consists of "context," "input," "process," "product," and "outcomes." On the dimension of the…
Descriptors: Foreign Countries, Curriculum Evaluation, Engineering Education, Models
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Zendler, Andreas; Seitz, Cornelia; Klaudt, Dieter – Journal of Educational Computing Research, 2016
A process model ("cpm.4.CSE") is introduced that allows the development of competence models in computer science education related to curricular requirements. It includes eight subprocesses: (a) determine competence concept, (b) determine competence areas, (c) identify computer science concepts, (d) assign competence dimensions to…
Descriptors: Competency Based Education, Models, Computer Science Education, Curriculum Development
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