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Journal articles on the topic 'Model development and evaluation'

Author: Grafiati

Published: 25 May 2024

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1

Kadir, Nuraeni. "The Integrated Silk Business Development, The Weavers Evaluation, and the Silk Development Model." Journal of Advanced Research in Dynamical and Control Systems 12, no. 5 (May 30, 2020): 478–86. http://dx.doi.org/10.5373/jardcs/v12i5/20201964.

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2

KURUM, Gul, and Sakir CINKIR. "An Authentic Look at Evaluation in Education: A School Self- Evaluation Model Supporting School Development." Eurasian Journal of Educational Research 19, no. 83 (October 1, 2019): 1–34. http://dx.doi.org/10.14689/ejer.2019.83.12.

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3

FanYun Pai. "Website Development and Evaluation Model." INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences 5, no. 7 (April 15, 2013): 362–71. http://dx.doi.org/10.4156/aiss.vol5.issue7.43.

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4

Alqalyoobi, Shehabaldin. "Prediction Model Development and Evaluation." CHEST 165, no. 4 (April 2024): e131. http://dx.doi.org/10.1016/j.chest.2023.11.045.

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5

AHMADI, I. "Development and evaluation of full-vehicle vibration model of MF 285 tractor." Research in Agricultural Engineering 60, No. 3 (September 12, 2014): 107–14. http://dx.doi.org/10.17221/5/2013-rae.

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The vibration transmitted to the tractor driver not only leads to the driver health problems, but also reduces the driver working efficiency. One of the methods utilized to reduce driver vibration is the seat suspension system. Development of the tractor vibration model is the first step toward the implementation of the tractor seat suspension. In this research development and evaluation of full-vehicle vibration model of MF 285 tractor was considered. At validation phase, the developed model simulated the predictable outputs correctly. The modified parameters of the model reduced the simulation error by 30% compared to the model with primary parameters. Furthermore, considering the operation status of tractor engine in the simulated tractor, the simulation error was reduced from 45% to 27%.

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6

Kim. "Development of Optimum Traffic Safety Evaluation Model Using the Back-Propagation Algorithm." Journal of the Korean Society of Civil Engineers 35, no. 3 (2015): 679. http://dx.doi.org/10.12652/ksce.2015.35.3.0679.

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7

Cichota, Rogerio, Russell McAuliffe, Julia Lee, Elena Minnee, Kirsty Martin, Hamish E. Brown, Derrick J. Moot, and Val O. Snow. "Forage chicory model: Development and evaluation." Field Crops Research 246 (February 2020): 107633. http://dx.doi.org/10.1016/j.fcr.2019.107633.

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8

Ellison, Constance M. "Talent development professional development evaluation model: A paradigm shift." New Directions for Evaluation 2004, no. 101 (2004): 63–78. http://dx.doi.org/10.1002/ev.108.

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9

Favaro, Paul, and Marie Billinger. "A Comprehensive Evaluation Model for Organizational Development." Canadian Journal of Program Evaluation 8, no. 2 (September 1993): 45–60. http://dx.doi.org/10.3138/cjpe.8.004.

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Abstract: Most organizations implement evaluation studies to determine how to improve aprogram or to decide if a program should be continued. However, evaluation can be used to help organizations make relevant and valid decisions for the cycle of program planning, development, implementation, and operation. This article describes a “comprehensive evaluation model” used at Sacred Heart Child and Family Centre, Toronto, Ontario, that provides a framework for understanding the importance of evaluation activities within all program phases. Four sequential evaluation stages are presented as the framework for the Sacred Heart model, and it is argued that consideration of these stages is essential to an adequate assessment of a program’s efficiency and effectiveness. The use of the comprehensive evaluation model is illustrated through two case studies: the design and implementation of an automated management information system and an evaluation of a primary prevention program.

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Divayana, Dewa Gede Hendra, P. Wayan Arta Suyasa, and Ni Ketut Widiartini. "Development of instruments for DIVAYANA evaluation model." Psychology, Evaluation, and Technology in Educational Research 3, no. 2 (April 7, 2021): 62–76. http://dx.doi.org/10.33292/petier.v3i2.68.

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The purpose of this research showed a valid DIVAYANA evaluation model instruments were used to evaluate the implementation of e-learning. This research approach was the development of evaluation instruments. The evaluation instruments developed were in the form of interview guides and questionnaires. The interview guidelines that resulted were related to several DIVAYANA evaluation components, included: the Description component, Input component, Verification component, and Yack component. Questionnaires were generated on several DIVAYANA evaluation components, included: the Verification component, Action component, and Yack component. The subjects involved in the content validity test of the interview guidelines were two experts, including an informatics education expert and an educational evaluation expert. The content validity tests of questionnaires were conducted by six experts, including three education evaluation experts and three informatics education experts. The content validity calculation process of the interview guidelines used the Gregory formula, while the content validity of the questionnaires used Lawsheâ€™s CVR formula. The content validity average of interview guidelines on the Description, Input, Verification, and Yack components was 0.882 so it was included in the very good category. The content validity average of questionnaires on the Verification, Action, and Yack components was 0.774 so it was in a good category. The implication of this research is the realization of valid measuring instruments that can be used in evaluating the implementation of e-learning.

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11

Tola, Burhanuddin. "Effective School Evaluation Model: A Development Study." Journal of Modern Education Review 4, no. 9 (September 20, 2014): 679–91. http://dx.doi.org/10.15341/jmer(2155-7993)/09.04.2014/004.

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12

Noda, H., R. Takahashi, T. Kobayashi, A. Hotta, Y. Uchida, R. Carlson, and S. Roos. "Development of Evaluation Model for Substation Damage." IEEE Transactions on Power Delivery 26, no. 3 (July 2011): 1920–26. http://dx.doi.org/10.1109/tpwrd.2011.2116161.

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13

Bani-Salameh, Hani, Sanaa Alwidian, Maen Hammad, and Fadi Wedyan. "An Evaluation Model for Social Development Environments." International Journal of Software Engineering and Its Applications 8, no. 1 (January 31, 2014): 323–36. http://dx.doi.org/10.14257/ijseia.2014.8.1.28.

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14

Mishra, Upendra Nath. "Development of Geoid Model and comparative evaluation." Abstracts of the ICA 6 (August 11, 2023): 1–2. http://dx.doi.org/10.5194/ica-abs-6-167-2023.

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15

Tvrdoň, J. "Some model approaches of natural resources efficiency evaluation." Agricultural Economics (Zemědělská ekonomika) 51, No. 2 (February 20, 2012): 47–50. http://dx.doi.org/10.17221/5075-agricecon.

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The article deals with problems of sustainable development of agriculture from the viewpoint of efficient use of environmental resources. Environmental resources are factors of creation both usual economic goods and stabilization of environment. Analysis proved that classical indicators of economic performance are necessary to be modified by the ecological threshold of economic activities. However its level is not fixed and follows factors introduced in the paper which arose in frame of solution of the Institutional Research Intention MSM 411100013.

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16

Eichhorn, Joachim, and Anke Kniffka. "The numerical flow model MISKAM: State of development and evaluation of the basic version." Meteorologische Zeitschrift 19, no. 1 (February 1, 2010): 81–90. http://dx.doi.org/10.1127/0941-2948/2010/0425.

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17

Sharma, Gaurav, and Dr Rajiv Khanduja. "Development of Simulation Model for Performance Evaluation of Refining System in a Sugar Plant." Indian Journal of Applied Research 3, no. 11 (October 1, 2011): 164–68. http://dx.doi.org/10.15373/2249555x/nov2013/56.

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18

Bitar, Khalil, Rola Hbeichi, Lamia Al-Zou'bi, and Craig Russon. "Evaluation Capacity Development through Cluster Evaluation." Journal of MultiDisciplinary Evaluation 11, no. 24 (September 18, 2014): 68–75. http://dx.doi.org/10.56645/jmde.v11i24.407.

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Background: The term “cluster evaluation” was first coined in 1988 by W. K. Kellogg staff in an evaluation of a Foundation-funded initiative; the concept was further developed and practiced by the Kellogg Foundation evaluation consultants and other practitioners in the evaluation community Setting: Cluster evaluation was a model used to evaluate the programming of a small specialized UN agency in three countries (Lebanon, Jordan and Palestine) of the Arab States. Purpose: The article explains how cluster evaluation, as originally conceived by the W. K. Kellogg Foundation, was adapted to the realities of the UN system. Subjects: NA Research Design: The authors present a case study of an evaluation of a cluster of programmes from the Arab States region (Lebanon, Jordan and Palestine) that was conducted by a small, specialized agency of the UN. Data Collection and Analysis: The evaluation was designed as a series of programme reviews. Information from the reviews was to be aggregated in order to understand collective contributions to the region. Findings: The case study demonstrates the potential benefits of the model as well as some of the challenges. Conclusions: Analysis of the data leads to a number of interesting conclusions. First, in the philanthropic sector, cluster evaluation is a programmatic intervention. That is not the way that the model was used in the context of this evaluation. Instead of evaluation as intervention, it was evaluation as capacity development. This evaluation took place in the Arab States, a region in which evaluation capacity is perhaps not as institutionalized as other parts of the world. The purpose of using a cluster evaluation in this context was to strengthen the capacities of the national evaluators. Each of the national evaluators who were contracted had different areas of strength and weakness. By establishing a strong network amongst themselves, they were able to leverage each other’s strength and to compensate for any weaknesses. The consultants developed each other’s capacity and that greatly benefited the evaluation. The higher capacity went on to benefit the collective evaluation capacity of the region. The national evaluators have all gone one to be leaders in the formation of their respective regional and national evaluation organisations.

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19

Edgmon, Kreg J., H. Wallace Goddard, Catherine S. Solheim, and Mark B. White. "Development of the Parent Self-Evaluation Instrument." Psychological Reports 79, no. 2 (October 1996): 643–46. http://dx.doi.org/10.2466/pr0.1996.79.2.643.

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Parenting measures have been used most commonly for research and clinical evaluation, with little practical application for parent self-evaluation and education. To help parents assess their parenting strengths and skills and be better directed in their information seeking the Parent Self-evaluation Instrument was developed. The framework and dimensions of this scale are based on the National Extension Parent Education Model. A panel of 23 parenting experts reviewed the scale for content validity. Evaluations of the scales' validity were consistently high.

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20

Zhao, Minting, Teng Ge, and Dan Chen. "Study on Sustainable Development Model of Community Renewal based on the Green Development Model." Rocznik Ochrona Środowiska 26 (April 25, 2024): 146–51. http://dx.doi.org/10.54740/ros.2024.015.

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The community is an important part of the city. With the city's development, it is faced with the problem of renewal and reconstruction of the old community. It is necessary to explore the sustainable development of the community. In this paper, evaluation and analysis of the coordinated development of the ecological environment and economy of the community are studied. The indicators were selected appropriately to reflect the SE and EE development status comprehensively. The results show that Nanjing, Wuhan and Xi'an take the top spot in terms of CCD, meaning it has the most harmonious relationship between the social-economic subsystem and eco-environment subsystem; Xi'an has the highest SE value, while Lianyungang has the lowest evaluation result. Nanjing has the highest EE value, indicating it has the best eco-environment development, while Suqian has the worst. This study provides a scientific basis and effective measures for sustainable development in China.

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21

Xie, Junping, Yongfeng Ma, and Li Yuan. "Research on Model Development for Freeway Safety Facilities." Mathematical Problems in Engineering 2015 (2015): 1–6. http://dx.doi.org/10.1155/2015/370675.

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To make freeway safety facilities function well, field survey is carried out to evaluate the maintenance quality of freeway safety facilities. In traditional models, the same weight values are assigned to the safety facilities while evaluating without considering the functional differences of different facilities. The paper develops the maintenance quality evaluation procedure and the model considering the functional differences of freeway safety facilities. In the evaluation procedure, the safety facility damage in function is the main index to get the evaluation scores for each kind of facility. The purpose of the model is to convert the evaluation scores of different safety facilities to an overall maintenance quality measure, and this result can reveal the overall facility maintenance quality of the freeway segment. In order to build the model and confirm the calculated weight of each kind of facility, Multivariable Regression and Optimized Analytic Hierarchy Process were used separately. The model was validated by comparing the proposed model evaluation results and the reorganized survey evaluation results. The coefficient of correlation (R2value) is 0.9048, which shows strong correlation between the subjective evaluation and objective evaluation.

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22

Sparks, Elizabeth, Michelle Molina, Natalie Shepp, and Fiona Davey. "The Evaluation Skill-a-Thon: Evaluation Model for Meaningful Youth Engagement." Journal of Youth Development 16, no. 1 (March 30, 2021): 100–125. http://dx.doi.org/10.5195/jyd.2021.968.

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Active engagement of youth participants in the evaluation process is an increasingly sought out method, but the field can still benefit from new methods that ease youth participatory evaluation implementation. Meaningful youth engagement in the evaluation process is particularly advantageous under the 4-H thriving model because of its potential to contribute to positive youth development, foster relationship building, enhance evaluation capacity, and improve program quality through improved evaluations. This program sought to facilitate actively engaging youth in the evaluation process by breaking it up into clear and manageable steps including evaluation design, data collection, data interpretation and analysis, reporting results, and outlining programmatic change. To achieve this aim, program staff designed the Evaluation Skill-a-Thon, a set of self-paced, experiential evaluation activities at various stations through which youth participants rotate. Actively involving youth participants in the evaluation process using the Skill-a-Thon model resulted in youth being able to identify and design programmatic changes, increased participation and response rates in other evaluations, and several youth participants’ gaining an interest in evaluation and working to design evaluations in later years. The Evaluation Skill-a-Thon holds promise for actively engaging youth participants in the entire evaluation process, easy implementation, and increasing evaluation capacity.

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23

Howe, J. Gavin, Jeffrey P. Chrstos, Richard Romano, and James O'Kins. "Development of a Vehicle Model/Simulation Evaluation Tool." SAE International Journal of Commercial Vehicles 1, no. 1 (April 14, 2008): 89–99. http://dx.doi.org/10.4271/2008-01-0778.

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24

Youngkee Kim. "Development of Web Credibility Evaluation Model Using AHP." Journal of Korean Library and Information Science Society 39, no. 4 (December 2008): 51–69. http://dx.doi.org/10.16981/kliss.39.4.200812.51.

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25

Harbiankova, Alena, and Elena Scherbina. "Evaluation Model for Sustainable Development of Settlement System." Sustainability 13, no. 21 (October 25, 2021): 11778. http://dx.doi.org/10.3390/su132111778.

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Sustainability of settlement systems is of greatest relevance in political and socio-economic stability all over the world. The development effectiveness of a rural settlement system involves the solution of a number of matters in sustainable development, namely social welfare and environmental balance, economy and industry development, improving the pipeline and utility infrastructure, and improving the efficiency of the decision-making process. Currently, the sustainability of a rural settlement system is one of the key objectives in regional planning in post-Soviet countries. The introduction of new tools for assessing and managing the settlement system development is particularly true for Belarus, as a country with a strong focus on agricultural industry. The research aim was to develop and approve a model for evaluating the settlement system development. The research methods were based on the complex and interdisciplinary approaches, namely the system-element approach, the comparative analysis, spatial and mathematical modelling, factor analysis, and the cartographic analysis. The model was approved by practical consideration for evaluating the development of the analogue object at the local planning level. The practical relevance of the research is associated with the potential for using the model as a significant tool in land use planning. The model employs both quantitative and qualitative evaluation to obtain alternative solutions towards sustainable development of rural areas. Another advantage of the model is its multifunctionality, which enables: (1) sustainability evaluation of a settlement system, (2) establishment of regional planning priority areas, and (3) development of specific measures for ensuring the sustainability of a regional settlement system and its elements.

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26

Miller, Judy L., Patrick A. Thompson, and Martha Mahler Orabella. "Forecasting in foodservice: Model development, testing, and evaluation." Journal of the American Dietetic Association 91, no. 5 (May 1991): 569–74. http://dx.doi.org/10.1016/s0002-8223(21)01174-3.

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27

Geng, Yun Jiang. "Research on Enterprises Scientific Development Performance Evaluation Model." Key Engineering Materials 467-469 (February 2011): 1887–92. http://dx.doi.org/10.4028/www.scientific.net/kem.467-469.1887.

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According to the connotation of Scientific Outlook on Development, this paper constructs an enterprises scientific development performance evaluation model based on factor analysis and combination weighting. The innovation points and contributions are in three aspects. First, by evaluating performance from the manpower criterion, the basic idea of Scientific Outlook on Development of people-oriented is reflected. Second, by applying the factor analysis to screen evaluation indicators, fourteen indicators are selected to reflect more than 85% of original information and avoids information duplication and redundancy. Third, by determining the combination weight through multiplicative synthesis method based on G1 and TOPSIS, it fully utilizes experts’ subjective experiences and objective information.

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28

Lee, Yunhee, Chunghu Lee, and Insu Cho. "Development of Performance Evaluation Model for Social Value." Academic Society of Global Business Administration 16, no. 6 (December 30, 2019): 133–50. http://dx.doi.org/10.38115/asgba.2019.16.6.133.

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29

Gao, Hongyan. "Combination Evaluation Model of Regional Highway Transportation Development." Journal of Information and Computational Science 12, no. 15 (October 10, 2015): 5581–87. http://dx.doi.org/10.12733/jics20106692.

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30

Fan, Miao. "Economic development evaluation model based on entropy AHP." Journal of Discrete Mathematical Sciences and Cryptography 20, no. 4 (May 19, 2017): 873–84. http://dx.doi.org/10.1080/09720529.2017.1359374.

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31

Yoo, Wi Sung, and Ung-Kyun Lee. "Development of Expertise-based Safety Performance Evaluation Model." Journal of the Korea Institute of Building Construction 13, no. 2 (April 20, 2013): 159–68. http://dx.doi.org/10.5345/jkibc.2013.13.2.159.

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32

Widiasanti, I., R. Z. Tamin, P. F. Marzuki, and I. I. Wiratmaja. "Development of civil engineers’ certification system evaluation model." IOP Conference Series: Materials Science and Engineering 434 (December 3, 2018): 012196. http://dx.doi.org/10.1088/1757-899x/434/1/012196.

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33

Uyanga, Tserengombo, and Kilhung Lee. "Development of a Collaborative e-Learning Evaluation Model." Journal of the Korea Society of Digital Industry and Information Management 11, no. 1 (March 30, 2015): 135–44. http://dx.doi.org/10.17662/ksdim.2015.11.1.135.

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34

Sefer, Jasmina. "A model for curriculum development and student evaluation." Zbornik Instituta za pedagoska istrazivanja, no. 34 (2002): 79–95. http://dx.doi.org/10.2298/zipi0204079s.

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The paper outlines theoretical foundations for investigations to be conducted in our education, based on USA (DISCOVERY) and Yugoslav (CREATIVITY) previous projects that dealt with developing, investigating and evaluating (a) abilities of creative problem solving within seven types of intelligence after the Gardner model and (b) curriculum that provides and encourages the development of those abilities. Divergent thinking and creativity in all spheres of intellectual behavior in teaching are encouraged by introducing open-type questions, play, exploring activities and multimedia integrative-interdisciplinary thematic approach to problem solving. Multiple intelligence and a dimensional model of problem solving present theoretical foundations for curriculum development and a new qualitative approach to process evaluation of student's various abilities. Investigations should make provisions for comparing the results obtained in various cultures and for integrating best solutions into a common whole. Comparing the results of cultures and testing theoretical models and instruments for the evaluation of students are the outcomes essential to the science of pedagogy. Curriculum development oriented to problem and divergent thinking in different areas, intellectual functioning, and enrichment of the choice of instruments for multiple process evaluation of students can also significantly contribute to the current reform of Yugoslav school, development of student abilities and teacher education and in-service training.

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35

TAHARA, Mika, Hirohide OIKAWA, and Kenji ARAI. "Development of Passive Autocatalytic Recombiner Performance Evaluation Model." Proceedings of the National Symposium on Power and Energy Systems 2000.7 (2000): 447–50. http://dx.doi.org/10.1299/jsmepes.2000.7.447.

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36

Wakitani, Shin, Toru Yamamoto, Chitoshi Morishige, Tomohiko Adachi, Yasuhiro Harada, Tadashi Muraoka, and Susumu Niinai. "Practice and Evaluation of Model-based Development Education." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2017 (2017): 2P2—K07. http://dx.doi.org/10.1299/jsmermd.2017.2p2-k07.

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37

Chang, You Yi, Rong Mao Wang, Xiao Yang He, and Qing Chun Li. "Development of Electricity Trading Vector Benefit Evaluation Model." Journal of Physics: Conference Series 1635 (November 2020): 012004. http://dx.doi.org/10.1088/1742-6596/1635/1/012004.

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38

Lodi, Gabriele, Giuseppe Storti, Laura A. Pellegrini, and Massimo Morbidelli. "Ion Exclusion Chromatography: Model Development and Experimental Evaluation." Industrial & Engineering Chemistry Research 56, no. 6 (February 3, 2017): 1621–32. http://dx.doi.org/10.1021/acs.iecr.6b04475.

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39

Hakan, Karatas, and Fer Seval. "CIPP evaluation model scale: development, reliability and validity." Procedia - Social and Behavioral Sciences 15 (2011): 592–99. http://dx.doi.org/10.1016/j.sbspro.2011.03.146.

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40

Hanna, Steven R., and Robert J. Paine. "Hybrid Plume Dispersion Model (HPDM) Development and Evaluation." Journal of Applied Meteorology 28, no. 3 (March 1989): 206–24. http://dx.doi.org/10.1175/1520-0450(1989)028<0206:hpdmda>2.0.co;2.

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41

Karaveg, Charttirot, Natcha Thawesaengskulthai, and Achara Chandrachai. "Evaluation model for research and development commercialization capability." Production & Manufacturing Research 2, no. 1 (January 2014): 586–602. http://dx.doi.org/10.1080/21693277.2014.886086.

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42

Todorović, Andrijana, Miloš Stanić, Željko Vasilić, and Jasna Plavšić. "The 3DNet-Catch hydrologic model: Development and evaluation." Journal of Hydrology 568 (January 2019): 26–45. http://dx.doi.org/10.1016/j.jhydrol.2018.10.040.

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43

Hogg, Sheila A. "The problem-solving curriculum evaluation and development model." Nurse Education Today 10, no. 2 (April 1990): 104–10. http://dx.doi.org/10.1016/0260-6917(90)90204-4.

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44

Lasslop, Gitta, Kirsten Thonicke, and Silvia Kloster. "SPITFIRE within the MPI Earth system model: Model development and evaluation." Journal of Advances in Modeling Earth Systems 6, no. 3 (August 5, 2014): 740–55. http://dx.doi.org/10.1002/2013ms000284.

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45

Luo, Yong, and Xiu Chun Guo. "Model Research on the Evaluation of Traffic Sustainable Development." Advanced Materials Research 301-303 (July 2011): 805–10. http://dx.doi.org/10.4028/www.scientific.net/amr.301-303.805.

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By research, we can realize definitely the relationship between the urban transportation system mode and containable development; meanwhile, it suggests the evaluation methods evaluation contents and guideline of Large-sized and middle-sized civic traffic problems. According to the civic traffic containable development basic theory, the major action factors of the civic traffic containable development and the establishment of the civic traffic containable development evaluation guideline system. Afterwards, this paper takes main factors and weight to use the found evaluation system.

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46

Luo, Dengze, Hongtao Li, Yu Wu, Dong Li, Xingguo Yang, and Qiang Yao. "Cloud model-based evaluation of landslide dam development feasibility." PLOS ONE 16, no. 5 (May 12, 2021): e0251212. http://dx.doi.org/10.1371/journal.pone.0251212.

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As natural backwater structures, landslide dams both threaten downstream human settlement or infrastructure and contain abundant hydro-energy and tourism resources, so research on their development feasibility is of great significance for permanently remedying them and effectively turning disasters into benefits. Through an analysis of the factors influencing landslide dam development and utilization, an index system (consisting of target, rule, and index layers) for evaluating development feasibility was constructed in this paper. Considering uncertainty and randomness in development feasibility evaluation, a cloud model-improved evaluation method was proposed to determine membership and score clouds based on the uncertainty reasoning of cloud model, and a cloud model-improved analytic hierarchy process (AHP-Cloud Model) was introduced to obtain weights. Final evaluation results were obtained using a hierarchical weighted summary. The improved method was applied to evaluate the Hongshiyan and Tangjiashan landslide dams and the results were compared with the maximum membership principle results. The results showed that the cloud model depicted the fuzziness and uncertainty in the evaluation process. The improved method proposed in this paper overcame the loss of fuzziness in the maximum membership principle evaluation results, and was capable of more directly presenting evaluation results. The development feasibility of the Hongshiyan landslide dam was relatively high, while that of the Tangjiashan landslide dam was relatively low. As suggested by these results, the evaluation model proposed in this paper has great significance for preparing a long-term management scheme for landslide dams.

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47

Kuzmin, O., and L. Prokopenko. "Model of Economic Evaluation of Intellectual Capital of Machine-Building Enterprises and Potential of their Development." Economics, Entrepreneurship, Management 4, no. 1 (2017): 61–72. http://dx.doi.org/10.23939/eem2017.01.061.

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48

Mugikura, Yoshihiro, Takumi Imabayashi, and Koichi Asano. "Development of SOEC Performance Model Based on Cell Performance." ECS Meeting Abstracts MA2022-02, no. 47 (October 9, 2022): 1786. http://dx.doi.org/10.1149/ma2022-02471786mtgabs.

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Central Research Institute of electric Power Industry (CRCIEPI) has developed original SOFC performance evaluation method and applied to a wide variety of cells. Based on the SOFC performance evaluation method, a new SOEC performance evaluation method has been developed this time. By this evaluation method, the difference between the open circuit voltage and the cell voltage can be expressed by the internal resistance loss (measured value), the fuel electrode overvoltage, the oxygen electrode overvoltage, and the Nernst loss. In this study, cell performance before and after the CO2 direct electrolysis test was compared by SOFC and SOEC evaluation methods and clarification of cell degradation factor by CO2 direct electrolysis.

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49

Marzuki, Ismail. "Effectiveness of Blended Learning Model Development Educational Evaluation Course." JTP - Jurnal Teknologi Pendidikan 25, no. 2 (August 30, 2023): 205–22. http://dx.doi.org/10.21009/jtp.v25i2.34911.

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The educational evaluation course is one of the courses in the undergraduate Islamic Religious Education study program. This course teaches theory and practice. The problem in this study is in the form of educational evaluation material with the characteristics of calculating and the mathematical concepts are the main learning difficulties. Educational evaluation learning outcomes have not shown maximum results. By creating a learning material product, this research aims to create a blended learning educational evaluation course and then test the product's effectiveness. The study and development method is the one that is employed. The planning, development, and evaluation phases of the Dick and Carey model are used in this research. Learning design experts, material experts, language experts, and media experts are tested as part of the product testing process. Learning design specialists received an average score of (4.46), followed by material experts (4.44), language experts (4.60), experts in print media (4.82), and experts in non-print media (4.44). (4.58). Following that, 90.91% of one-on-one trials with three pupils were very feasible, followed by 95.28% of small group trials and 96.10% of field trials. After modifications were made based on ideas and advice from experts, the product learning materials are, in conclusion, very practicable to use. The results of the effectiveness test of learning material products revealed that there is a significant difference between the pre-test and value post-test in the use of learning modelsblended learning educational evaluation subject in the learning process. The paired sample t test results obtained a p-value = 0.000, which means that the p-value 0.05. The results of the product effectiveness analysis in the form of student learning outcomes seen from the pre-test and post-test showed an increase, the pre-test total score was 334 and the post-test total score was 616. This shows that the learning outcomes have increased scores so that it can be concluded that the material blended learning in educational evaluation courses is proven to be effective in increasing learning outcomes.

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Hale, Leigh, and Divya Bharatkumar Adhia. "The continuous feedback model: Enabling student contribution to curriculum evaluation and development." Focus on Health Professional Education: A Multi-Professional Journal 23, no. 1 (March 31, 2022): 17–36. http://dx.doi.org/10.11157/fohpe.v23i1.501.

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Introduction: Evaluation of curriculum is essential to its development. Typically, curriculum evaluations are conducted by end-of-course questionnaires, often resulting in a lengthy delay in implementing improvements that no longer affect the students who completed the evaluation. This study investigated a continuous real-time curricula feedback model as a novel method more appropriate for simultaneous evaluation and improvement of our integrated physiotherapy courses than typical end-of-course evaluation.Methods: A mixed methods design involving concurrent qualitative (focus group interviews, anonymous comments in a “suggestion” box, qualitative survey comments) and quantitative (survey) approaches was used to regularly collect staff (n = 20) and students’ (n = 127) perceptions of a full-year course. Quantitative data were analysed descriptively, and qualitative responses were collated and categorised. The analysed data were fed back to staff and students in the form of a feedback report sent out via email after each module. The report incorporated a summary of the results and the changes to be actioned within the next module.Results: We found the new model to be helpful and liked by both staff and students. Students liked that they could see change as a result of their feedback. Staff felt it should be used in conjunction with the typical end-of-course evaluation, although they found the periodic student feedback reports helpful.Conclusions: The continuous feedback model, although it does not eliminate the need for a formal end-of-year quantitative evaluation, did provide useful qualitative information, a safe environment for student feedback and the opportunity to correct issues in the curriculum as they arise.

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