Academic literature on the topic 'Higher Educational evaluation'
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Journal articles on the topic "Higher Educational evaluation"
史, 一涵. "Research on Higher Educational System Health Evaluation." Advances in Applied Mathematics 10, no. 06 (2021): 1924–29. http://dx.doi.org/10.12677/aam.2021.106202.
Full textAbidin, Munirul. "Stakeholders Evaluation on Educational Quality of Higher Education." International Journal of Instruction 14, no. 3 (July 1, 2021): 287–308. http://dx.doi.org/10.29333/iji.2021.14317a.
Full textVinnik, Alina Evgenievna. "Evaluation of higher education system management efficiency." Vestnik of Astrakhan State Technical University. Series: Economics 2020, no. 1 (March 31, 2020): 101–7. http://dx.doi.org/10.24143/2073-5537-2020-1-101-107.
Full textBykov, Valeriy Yu, Oleksandr Yu Kuchanskyi, Andrii O. Biloshchytskyi, Yurii V. Andrashko, Oleksandr V. Dikhtiarenko, and Svitlana V. Budnik. "DEVELOPMENT OF INFORMATION TECHNOLOGY FOR COMPLEX EVALUATION OF HIGHER EDUCATION INSTITUTIONS." Information Technologies and Learning Tools 73, no. 5 (October 30, 2019): 293–306. http://dx.doi.org/10.33407/itlt.v73i5.3397.
Full textGounopoulos, Elias, Sotirios Kontogiannis, Stavros Valsamidis, and Ioannis Kazanidis. "Blended Learning Evaluation In Higher Education Courses." KnE Social Sciences 1, no. 2 (March 19, 2017): 385. http://dx.doi.org/10.18502/kss.v1i2.674.
Full textDybach, Inna. "Institutional aspects of educational quality management in higher educational establishments." Economics of Development 18, no. 1 (June 10, 2019): 33–43. http://dx.doi.org/10.21511/ed.18(1).2019.04.
Full textFjellström, Mona. "The influence of evaluation in higher education." Evaluation Journal of Australasia 7, no. 2 (September 2007): 25–30. http://dx.doi.org/10.1177/1035719x0700700204.
Full textZaskaleta, Svitlana. "HIGHER EDUCATION QUALITY ASSURANCE: FINLAND’S EXPERIENCE." Continuing Professional Education: Theory and Practice, no. 2 (2020): 114–19. http://dx.doi.org/10.28925/1609-8595.2020.2.15.
Full textGorbatkova, Elena Yu, T. R. Zulkarnaev, U. Z. Akhmadullin, and Kh M. Akhmadullina. "HYGIENIC EVALUATION OF NUTRITION IN STUDENTS OF HIGHER EDUCATIONAL INSTITUTIONS." Hygiene and sanitation 98, no. 5 (October 28, 2019): 540–45. http://dx.doi.org/10.18821/0016-9900-2019-98-5-540-545.
Full textCheng, Shaohua, and Yongwei Zhou. "The Evaluation and Optimization to the Higher Educational Resource Allocation." International Journal of Cognitive Informatics and Natural Intelligence 9, no. 1 (January 2015): 60–73. http://dx.doi.org/10.4018/ijcini.2015010105.
Full textDissertations / Theses on the topic "Higher Educational evaluation"
Revelt, Joseph E. "Contextual evaluation a framework for accountability in higher /." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file 0.55 Mb., 153 p, 2006. http://wwwlib.umi.com/dissertations/fullcit?3220747.
Full textHeller, Monica L. "Predicting first-year college achievement| Evaluation of a self-regulatory coping model." Thesis, Ball State University, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3716069.
Full textThe current trends observed in 4-year college graduation and retention rates (ACT 2011; 2012; 2013; 2014; Tinto, 2006) demonstrate a need for improvement in student academic achievement outcomes. Overwhelmingly, research finds that the first year in college is the time of greatest risk for student academic failure and drop out. Challenges associated with academic-oriented forms of stress and anxiety (Baillie & Fitzgerald, 2000; Bembenutty, 2008; Cassady, 2010; Collier & Morgan, 2008; Jean, 2010; Pike & Kuh, 2005; Soria & Stebleton, 2012; Turner et al., 2012) coupled with limitations in effective coping strategies (Hofer et al., 1998; Kitsantas et al., 2008; McInerney, 2011; Pintrich & Zusho, 2002; Robbins et al., 2004; Zimmerman & Schunk, 2008) lie at the center of the difficulties these first-year students experience, which ultimately play a significant role in persistence and achievement outcomes. This is particularly true for students from at-risk populations (e.g., first-generation students, ethnic minorities; Balemian & Feng, 2013; Borman & Overman, 2004; Choy, 2001; Engle, 2007; Jones et al., 2010; Pascarella et al., 2004; Toldson, 2012).
The wide body of research confirms that no single factor reliably predicts college academic success or failure, although institutions have traditionally relied upon indicators of prior achievement (i.e., H.S. GPA and college entrance exams) for such inferences (Alarcon & Edwards, 2013; DeBerard et al., 2004; Harackiewicz et al., 2002; Kowitlawakul et al., 2013; Randsell, 2001; Zypher et al., 2007). Rather, it is the collective of factors from environmental, behavioral and personal domains that interact and have the potential to positively or negatively influence college student achievement (Bandura, 1986; 1997; 1999; Lazarus & Folkman, 1984; Snow et al., 1996). As such, the Transactional Stress and Coping model (Lazarus & Folkman, 1984) provides a comprehensive model through which the influence and interaction of multiple factors associated with student stress-appraisals, coping responses, and eventual outcomes can be examined within investigations of college academic achievement.
The main purpose of this study was to examine the degree of influence student background characteristics, indicators of prior achievement, anxiety-laden cognitive belief states, and self-regulated learning had on first-year college student achievement. Informed by the Lazarus and Folkman (1984) framework, a proposed academic-oriented stress-appraisal and coping model was tested for viability in predicting student achievement outcomes at the conclusion of their first-year in college. This study investigated research questions specifically associated with: 1) the influence of gender, ethnicity and first-generation status on first-year achievement; 2) the influence of student prior achievement (i.e., H. S. GPA and SAT scores) on first-year achievement; 3) the potential mediating influence of cognitive appraisals on first-year achievement; and 4) the potential moderating role of self-regulated learning in first-year achievement. For this archival study, all student demographic data, measures of prior achievement, first-year college achievement (cumulative GPA) and self-report responses to the LASSI-HS (Weinstein & Palmer, 1990) instrument were accessed from a large sample (N = 29,431) of first-time, first-year students enrolled at a mid-sized, Midwestern 4-year university during years 2004-2012. Using an established model of stress-appraisal and coping (Lazarus & Folkman, 1984) within an academic context, five models were tested using Structural Equation Modeling (SEM) to answer the specific research questions and investigate the utility of the models in predicting first-year college achievement.
The results revealed that although all background factors (i.e., gender, ethnicity, first-generation status) were statistically significant predictors of first-year achievement (GPA), their influence on first-year GPA was minimal. Additionally, prior achievement had a statistically significant, but weak, influence on first-year GPA. Although the direct path relationships for all pre-existing personal factors were statistically significant, the results also indicated anxious cognitive appraisals served a mediating role between these factors and first-year GPA. Thus, a partially mediated model best represented the relationships among these variables. The potential moderating effects of motivational regulation and active coping strategies did not have any meaningful impact in the two self-regulatory coping models tested. Although some statistically significant relationships were observed and provided evidence that background factors, prior achievement, anxious cognitive appraisals and self-regulated learning are associated, their influence was minimal and offered little practical utility in explaining first-year college student achievement.
Overall, the results of the study were unexpected given the strong theoretical and empirical support for the measures utilized in the study and literature supporting meaningful and rather robust relationships among the variables of interest. This atypical finding seemed to be due primarily to the first-year student GPAs, and suggests attending to concerns related to the evaluation of student performance and achievement in the first year of college. (Abstract shortened by UMI.)
Fisk, Cheryl A. "Program assessment data use in decisions to improve general education| A descriptive study." Thesis, Saint Mary's University of Minnesota, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3734321.
Full textGeneral education assessment practices and data use were examined among regionally accredited, four-year (baccalaureate degree-granting), private, not-for-profit colleges and universities. An online survey instrument was created, piloted, and sent to 1044 institutions resulting in a 45% response rate. Results indicate general education assessment data most frequently influence changes to the assessment process and course content. Challenges preventing data use include lack of time and campus cultures. Assessment data use varies by the regional accreditor in which an institution is a member. Regular class assignments (embedded assessments) and capstone assignments were the most frequently used assessment methods for which collected data are used. Interviews, portfolios, and locally created tests appear to yield more usable data.
Maloney, Jennifer L. "Analyzing Students' Personal Characteristics to Determine Study Outcomes." Thesis, Lindenwood University, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3737089.
Full textThe purpose of this quantitative study was to identify the personal characteristics that predicted the study outcome of students in higher education. Study outcome was defined as a student’s grade point average and re-enrolling for the following semester. Multiple regression analysis was used to evaluate whether a student’s former education, personality characteristics, orientation on learning, and study approach influenced study outcome. Of these 11 explanatory variables analyzed against study outcome, many were found to have a direct impact on study outcome. The results of this study provided insight into the predictive ability of personal characteristics and former education on study outcome. Implications of the value of using these personal characteristics in program development, advising, and instructional delivery were explored. Significant findings from this research provide the ability to identify probable obstacles to academic success from the beginning of a student’s educational path. These findings could be used to implement proactive programming in higher education to improve student retention.
Stotler, Mark W. "The use of statewide program review results in relation to program review purpose, approach and governance structure as perceived by academic officers." Morgantown, W. Va. : [West Virginia University Libraries], 2001. http://etd.wvu.edu/templates/showETD.cfm?recnum=2174.
Full textTitle from document title page. Document formatted into pages; contains viii, 115 p. Vita. Includes abstract. Includes bibliographical references (p. 88-95).
Wengert, Julie A. "Perceptions of Commuter Students and Faculty| A Mixed Methods Study on Commuter Student Retention." Thesis, Lindenwood University, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13427615.
Full textCollege student success outcomes have become increasingly significant to many stakeholders as student attrition has proven costly for students, institutions of higher education, and the economy (Foss, Foss, Paynton, & Hahn, 2014; Jobe & Lenio, 2014). Historically, a positive relationship between college students who live on-campus and retention has been found (Astin, 1993; Bronkema & Bowman, 2017; Chickering, 1974; Pike & Kuh, 2005; Schudde, 2011; Soria & Taylor Jr., 2016; Walsh & Robinson Kurpius, 2016). However, commuter students now make up most of the current college student population (Skomsvold, 2014). The purpose of this mixed methods study was to advance the understanding of the commuter student phenomenon within the context of the institution. Quantitative data included first- to second-year retention rates and six-year graduation rates for the three most recent cohorts of commuter and residential students at one Midwest university. The first- to second-year retention rate was 63.21% for commuters and 66.07% for residential students; the six-year graduation rate was 35.07% for commuters and 33.68% for residential students. There were not statistically significant differences in the first- to second-year retention rates or six-year graduation rates of commuter and residential students. Qualitative data were gathered using student focus groups and faculty interviews, including 16 and nine participants respectively. Responses were reviewed through the lens of Strange and Banning's (2015) campus ecology model, and four themes emerged: getting from here to there, the double-edged sword of convenience, independence, and it is who we are. Based on the findings, higher education leaders should continue to observe and assess student groups within the context of their own unique institutions.
Bonnand, Chloe. "Mixed-Method Study Exploring International Students' Career Readiness at a Four-Year Private University in the Midwest." Thesis, Lindenwood University, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13863432.
Full textThis study explored international students’ career readiness in a four-year, private university in the Midwest. In order to measure career readiness, the researcher reviewed three factors: financial support, academic major, and country of origin. International students graduating in May 2018 received a survey from the researcher on career readiness. A total of 38 students completed the survey. The final question of the survey was an invitation to participate in an individual interview and/or a focus group. The qualitative data from the survey showed that financial support impacted international students’ career readiness. International students with financial support were more prepared to enter the workforce than students who did not have financial support. Academic majors also impacted career readiness. Students with Business majors pointed out that due to the numerous different fields within the field of Business, it was difficult to show proficiency in one area needed by an employer. Students pursuing other degrees such as Science and Education had a clear idea of the steps to take after graduation and what employers were looking for in new graduates. Country of origin did not have an impact on career readiness as all international students pointed out the difficulties and uncertainties met after graduation due to the immigration restrictions on student and work visas in the United States.
Kohler, Hannah. "A Mixed Method Analysis on the Relationship between Engagement, Achievement, Satisfaction, and Syllabus Design in a Private Midwest University." Thesis, Lindenwood University, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13426661.
Full textBackground: Online learning is now at the forefront of education, making a college degree more accessible than ever before. With online enrollments at an all-time high, quality instruction is essential to the sustainability of the institution and ultimately affects student enrollment and retention. Research exists on the effectiveness of syllabus design and the use of inventories, but the gap in the existing literature lies in combining the two.
Purpose: The purpose of this mixed methods study was to analyze possible relationships between syllabus design and student achievement, student engagement, student satisfaction, faculty instruction, and faculty satisfaction.
Research Design: An Online Syllabus Inventory (OSI) was developed as an evaluative and instructional tool and served as the independent variable for syllabus design between administration of control and experimental courses.
Data Collection and Analysis: This mixed methods study synthesized quantitative and qualitative data gathered from 28 online courses and 379 students. Data sources included student analytics from a learning management system, course evaluations from a student information system, and feedback from study participants.
Findings: In the domain of student achievement, a significant difference was found between two control and experimental courses. In the domain of student engagement, a significant difference was found in six courses. Among the sample, course-level factors were found to be significantly different in the domain of student satisfaction. No significant difference was found among instructor-level factors.
Williams, Juanika Q. "A Mixed-Method Comparative Analysis of First-Generation and Non-First-Generation Students in the Midwest." Thesis, Lindenwood University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10840514.
Full textThe purpose of this study was to complete a mixed-methods comparative analysis of first-generation and non-first-generation students in the Midwest to determine potential differences between students’ college satisfaction, retention factors, college selection, college experience, and deciding factors on attending college at private, public, and Historically Black Colleges and Universities. The Primary Researcher believed that a students’ classifications (first-generation or non-first-generation) and the type of university that they chose to attend would yield different results in their overall college experiences. The Researcher conducted the study in different settings and did not compare by the type of university or the type of students who attended the universities. The previous research was conducted in different regions. The Primary Researcher was not able to find extensive then-current research on first-generation and non-first-generation students in the Midwest. The results found did not show that being a first-generation or a non-first-generation student at a Historically Black College and University, public, or private university made a difference. The Primary Researcher found that overall, first-generation students had a more positive perception of their college experience than their non-first-generation peers.
Morgan, Michael Heath. "A Study of Effective Strategies for Retention for At-Risk Students at a Small Private Liberal Arts College." Thesis, Lindenwood University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10841445.
Full textStudent retention in higher education is currently one area most colleges are looking to improve and build upon (Baer & Norris, 2016). Higher education institutions in the United States have been under increased scrutiny from lawmakers and accrediting agencies to provide an affordable education for a diverse population for jobs in a highly technical economy (Boateng, Plopper, & Keith, 2015; Slanger, Berg, Fisk, & Hanson, 2015). Some colleges and universities are exploring programs to engage the modern student through the creation of learning communities, first-year programming, and interventions to bridge the gap of those students who are highly unlikely to persist to graduation (Alarcon & Edwards, 2012; Selingo, 2015). This study focused on an all-male retention program in one private liberal arts college over an eight-year period where invasive interventions were introduced in year five in an effort to enhance the overall program. This quantitative study was designed to determine if there was (1) a difference in the grade point average between male, first-time freshmen who did not receive specific invasive interventions as compared to male, first-time freshmen who received specific invasive interventions; (2) a difference in the number of male, first-time freshmen who were removed from academic probation and did not receive specific invasive interventions as compared to male, first-time freshmen who received specific invasive interventions; and (3) a difference in retention rates of male, first-time freshmen who did not receive specific invasive interventions as compared to male, first-time freshmen who received interventions. Data obtained from the analyses were determined not statistically significant. Future studies should be designed to obtain additional information on what aids students retention, potentially using a mixed method approach.
Books on the topic "Higher Educational evaluation"
Québec (Province). Commission d'évaluation de l'enseignement collégial. Evaluating institutional policies on program evaluation: General guidelines. Québec: La Commission, 1994.
Find full textWnuk-Lipińska, Elżbieta, and Maria Wójcicka. Quality review in higher education. Warsaw: Centre for Science Policy and Higher Education, University of Warsaw, 1995.
Find full textEngvall, Robert P. Corporatization of higher education: The move for greater standardized assessment programs. Cresskill, NJ: Hampton Press, 2010.
Find full textEngvall, Robert P. Corporatization of higher education: The move for greater standardized assessment programs. Cresskill, NJ: Hampton Press, 2010.
Find full textEngvall, Robert P. Corporatization of higher education: The move for greater standardized assessment programs. Cresskill, NJ: Hampton Press, 2010.
Find full textRatcliff, James L. Linking assessment and general education. [University Park, PA?]: NCTLA, 1993.
Find full textQuébec (Province). Commission d'évaluation de l'enseignement collégial. L' évaluation des politiques institutionnelles d'évaluation des programmes d'études: Cadre de référence. [Québec]: Gouvernement du Québec, Commission d'évaluation de l'enseignement collégial, 1994.
Find full textInostroza, Julio C. Recueil de documents relatifs à l'évaluation de programmes. Ottawa, Ont: Evaplan Consultation Inc., 1987.
Find full textBook chapters on the topic "Higher Educational evaluation"
Madaus, George F., and Daniel L. Stufflebeam. "Service Studies in Higher Education." In Educational Evaluation: Classic Works of Ralph W. Tyler, 7–16. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2679-0_2.
Full textMislevy, Robert J. "On Measurement in Educational Assessment." In Handbook on Measurement, Assessment, and Evaluation in Higher Education, 11–31. Second edition. | New York, NY : Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315709307-3.
Full textWang, Ze, and Steven J. Osterlind. "Statistical Modeling in Educational Research." In Handbook on Measurement, Assessment, and Evaluation in Higher Education, 429–39. Second edition. | New York, NY : Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315709307-33.
Full textToçoğlu, Mansur Alp, and Aytuğ Onan. "Sentiment Analysis on Students’ Evaluation of Higher Educational Institutions." In Advances in Intelligent Systems and Computing, 1693–700. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51156-2_197.
Full textLi, Qi. "Beyond Summative Evaluation: Improving the Quality of Teaching and Learning in China’s Higher Education." In New Frontiers of Educational Research, 57–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39813-1_5.
Full textJácome Ortega, Alexandra E., Jorge A. Caraguay Procel, Erick P. Herrera-Granda, and Israel D. Herrera Granda. "Confirmatory Factorial Analysis Applied on Teacher Evaluation Processes in Higher Education Institutions of Ecuador." In Technology, Sustainability and Educational Innovation (TSIE), 157–70. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37221-7_14.
Full textYu, Hyunsook. "Evaluation of Educational Reform Measures and Future Directions for the Knowledge Economy: Focusing on Higher Education." In Korean Education in Changing Economic and Demographic Contexts, 97–113. Singapore: Springer Singapore, 2013. http://dx.doi.org/10.1007/978-981-4451-27-7_6.
Full textIftimescu, Simona, Georgeta Ion, Carmen Proteasa, Romiţă Iucu, Elena Marin, and Mihaela Stîngu. "Closing the Circle: Research and Policymaking in Education." In European Higher Education Area: Challenges for a New Decade, 323–40. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-56316-5_21.
Full textDouglas, John, and Les Hamilton. "Evaluation Of An ‘Off-The-Shelf’ Multi-Media Package Introduced As Part Of A Problem-Based Learning Activity For Students In Higher Education." In Educational Innovation in Economics and Business II, 61–76. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-5268-6_4.
Full text"Research governance by evaluation." In Assessing the Quality of Educational Research in Higher Education, 59–82. Brill | Sense, 2009. http://dx.doi.org/10.1163/9789087907082_005.
Full textConference papers on the topic "Higher Educational evaluation"
Chalmers, Denise, Beatriz Moya, and Hector Turra. "A framework for the evaluation of educational development programs in higher education in Chile." In Fourth International Conference on Higher Education Advances. Valencia: Universitat Politècnica València, 2018. http://dx.doi.org/10.4995/head18.2018.7997.
Full textRequena, Carmen, Paula Álvarez-Merino, and María Plaza-Carmona. "Educational Models against ageism in higher education." In Fourth International Conference on Higher Education Advances. Valencia: Universitat Politècnica València, 2018. http://dx.doi.org/10.4995/head18.2018.7986.
Full textBogdanova, Raisa Umyarovna. "POSSIBLE APPROACHES TO THE EVALUATION OF EDUCATIONAL ACTIVITIES IN HIGHER EDUCATION." In Воспитание как стратегический национальный приоритет. Екатеринбург: Уральский государственный педагогический университет, 2021. http://dx.doi.org/10.26170/kvnp-2021-01-02.
Full textMARCONDES, FERNANDA Klein, Lais Tono Cardozo, Pamela Mello-Carpes, and Luis Henrique Montrezor. "Effect of an educational game on student´s learning: different approaches for evaluation." In Third International Conference on Higher Education Advances. Valencia: Universitat Politècnica València, 2017. http://dx.doi.org/10.4995/head17.2017.5080.
Full textMattarelli, Eleonora, and Cristiana De Santis. "Educational System Assessment: Italy And Finland, Comparative Case Study." In Sixth International Conference on Higher Education Advances. Valencia: Universitat Politècnica de València, 2020. http://dx.doi.org/10.4995/head20.2020.11076.
Full textValsamidis, Stavros Ioannis, Ioannis Petasakis, Sotirios Kontogiannis, Elias Gounopoulos, and Ioannis Kazanidis. "An empirical evaluation of e-learning usage in the higher education context." In INNODOCT 2019. Valencia: Universitat Politècnica de València, 2019. http://dx.doi.org/10.4995/inn2019.2019.10147.
Full textAleandri, Gabriella, and Luca Girotti. "Teachers Education: a Project for Evaluation/Self Assessment in Educational and Lifelong Learning Way. A first Report of Research Experience." In HEAd'15. Conference on Higher Education Advances. Editorial Universitat Politècnica de València, 2015. http://dx.doi.org/10.4995/head15.2015.490.
Full textArtal-Sevil, Jesús Sergio, Ana Felicitas Gargallo-Castel, and Marta Sofía Valero-Gracia. "Flipped teaching and interactive tools. A multidisciplinary innovation experience in higher education." In Sixth International Conference on Higher Education Advances. Valencia: Universitat Politècnica de València, 2020. http://dx.doi.org/10.4995/head20.2020.10990.
Full textKauppinen, Tomi, and Yulia Guseva. "Learning in the Era of Online Videos: How to Improve Teachers’ Competencies of Producing Educational Videos." In Fourth International Conference on Higher Education Advances. Valencia: Universitat Politècnica València, 2018. http://dx.doi.org/10.4995/head18.2018.8096.
Full textAmanov, A. T. "Effectiveness of testing in students’ knowledge evaluation in higher educational institutions." In IX International symposium «Humanities and Social Sciences in Europe: Achievements and Perspectives». Viena: East West Association GmbH, 2016. http://dx.doi.org/10.20534/ix-symposium-9-74-77.
Full textReports on the topic "Higher Educational evaluation"
Kastelliz, Dietlinde, and Achim Hopbach. Evaluierung der Pädagogischen Hochschulen. Thematische Analyse. AQ Austria - Agentur für Qualitätssicherung und Akkreditierung Austria, 2018. http://dx.doi.org/10.22163/fteval.2018.505.
Full textWeinberg, Bruce, Belton Fleisher, and Masanori Hashimoto. Evaluating Methods for Evaluating Instruction: The Case of Higher Education. Cambridge, MA: National Bureau of Economic Research, January 2007. http://dx.doi.org/10.3386/w12844.
Full textPuukka, Jaana, and Richard Yelland. Review of Higher Education Institutes in Regional Development. Guidelines for the self-evaluation Report 2008-2010. OECD - Organisation for Economic Co-operation and Development, June 2008. http://dx.doi.org/10.22163/fteval.2008.147.
Full textBanerjee, Abhijit, Esther Duflo, and Francisco Gallego. Removing barriers to higher education in Chile: evaluation of peer effects and scholarships for test preparation. International Initiative for Impact Evaluation, March 2016. http://dx.doi.org/10.23846/ow2167.
Full textDempsey, Terri L. Handling the Qualitative Side of Mixed Methods Research: A Multisite, Team-Based High School Education Evaluation Study. RTI Press, September 2018. http://dx.doi.org/10.3768/rtipress.2018.mr.0039.1809.
Full textAlan, Sule. Skills for Life: Social Skills for Inter-Ethnic Cohesion. Inter-American Development Bank, April 2021. http://dx.doi.org/10.18235/0003207.
Full textDeBarger, Angela, and Geneva Haertel. Evaluation of Journey to El Yunque: Final Report. The Learning Partnership, December 2006. http://dx.doi.org/10.51420/report.2006.1.
Full textDell'Olio, Franca, and Kristen Anguiano. Vision as an Impetus for Success: Perspectives of Site Principals. Loyola Marymount University, 2009. http://dx.doi.org/10.15365/ceel.policy.2.
Full textKibler, Amanda, René Pyatt, Jason Greenberg Motamedi, and Ozen Guven. Key Competencies in Linguistically and Culturally Sustaining Mentoring and Instruction for Clinically-based Grow-Your-Own Teacher Education Programs. Oregon State University, May 2021. http://dx.doi.org/10.5399/osu/1147.
Full textTucker-Blackmon, Angelicque. Engagement in Engineering Pathways “E-PATH” An Initiative to Retain Non-Traditional Students in Engineering Year Three Summative External Evaluation Report. Innovative Learning Center, LLC, July 2020. http://dx.doi.org/10.52012/tyob9090.
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