NotesFAQContact Us
Collection
Advanced
Search Tips
What Works Clearinghouse Rating
Showing 1 to 15 of 313 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Kane Meissel; Esther S. Yao – Practical Assessment, Research & Evaluation, 2024
Effect sizes are important because they are an accessible way to indicate the practical importance of observed associations or differences. Standardized mean difference (SMD) effect sizes, such as Cohen's d, are widely used in education and the social sciences -- in part because they are relatively easy to calculate. However, SMD effect sizes…
Descriptors: Computer Software, Programming Languages, Effect Size, Correlation
Peer reviewed Peer reviewed
Direct linkDirect link
Daniel A. Mak; Sebastian Dunn; David Coombes; Carlo R. Carere; Jane R. Allison; Volker Nock; André O. Hudson; Renwick C. J. Dobson – Biochemistry and Molecular Biology Education, 2024
Enzymes are nature's catalysts, mediating chemical processes in living systems. The study of enzyme function and mechanism includes defining the maximum catalytic rate and affinity for substrate/s (among other factors), referred to as enzyme kinetics. Enzyme kinetics is a staple of biochemistry curricula and other disciplines, from molecular and…
Descriptors: Biochemistry, Kinetics, Science Instruction, Teaching Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Marin, L. F.; Valgardson, B. A.; Watson, E. – International Journal for Academic Development, 2022
As is the case with many Centres for Teaching and Learning, prior to the global health crisis in 2020 our Centre primarily obtained feedback to inform its programming based on participation and satisfaction. As a result of the crisis, we could not rely on previous sources of information and needed to implement new strategies for evidencing the…
Descriptors: COVID-19, Pandemics, Educational Strategies, Education Service Centers
Peer reviewed Peer reviewed
Direct linkDirect link
Bower, Kyle L. – American Journal of Evaluation, 2022
The purpose of this paper is to introduce the Five-Level Qualitative Data Analysis (5LQDA) method for ATLAS.ti as a way to intentionally design methodological approaches applicable to the field of evaluation. To demonstrate my analytical process using ATLAS.ti, I use examples from an existing evaluation of a STEM Peer Learning Assistant program.…
Descriptors: Qualitative Research, Data Analysis, Program Evaluation, Evaluation Methods
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Boyd, Austin T.; Rocconi, Louis M. – Practical Assessment, Research & Evaluation, 2021
Social Network Analysis (SNA) is a statistical method used to analyze the social structure and interactions among individuals within a network. SNA is used extensively in a number of disciplines such as sociology, geography, and communications research. However, the use of SNA by practitioners and researchers in assessment and evaluation is much…
Descriptors: Social Networks, Network Analysis, Data Analysis, Social Science Research
Peer reviewed Peer reviewed
Direct linkDirect link
Hanson, Jana M.; Moore, Erica J.; Morseau, Amber; Taylor, Darius D. – Tribal College Journal of American Indian Higher Education, 2023
The U.S. Department of Education has required educational collection and reporting. For postsecondary institutions, this requirement has evolved from the Higher Education General Information Survey (HEGIS), which was used from the 1960s to the 1980s, to the Integrated postsecondary Education Data System (IPEDS) (Aliyeva, Cody, & Low, 2018).…
Descriptors: Evaluation Methods, Tribally Controlled Education, Minority Serving Institutions, Data Collection
Kulkarni, Tara; Weeks, Mollie R.; Sullivan, Amanda L. – Communique, 2020
As frequent consumers and disseminators of research, school psychologists have an ethical obligation to critically evaluate the findings of studies (National Association of School Psychologists, 2010); however, this can feel burdensome when studies are behind paywalls and require hours to properly scrutinize. Particularly when studies utilizing…
Descriptors: Data Analysis, School Psychology, Criticism, Psychological Studies
Peer reviewed Peer reviewed
Direct linkDirect link
Laura P. Naumann; Samantha N. Jewell; Erin L. Rider – Journal of Faculty Development, 2024
Prior studies indicate that faculty often struggle with Scholarship of Teaching and Learning (SoTL) research due to limited knowledge of relevant research methodologies and data analysis techniques (Boshier, 2009; Kim et al., 2021; McKinney, 2006). Faculty developers at a teaching-intensive institution created an innovative, scaffolded model to…
Descriptors: Scaffolding (Teaching Technique), Faculty Development, Fellowships, Novices
Agarwal, Nikhil; Somaini, Paulo J. – National Bureau of Economic Research, 2019
Preferences for schools are important determinants of equitable access to high-quality education, effects of expanded choice on school improvement and school choice mechanism design. Standard methods for estimating consumer preferences are not applicable in education markets because students do not always get their first choice school. This review…
Descriptors: School Choice, Models, Educational Quality, Data Analysis
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Woodill, Sharon; Akiyama, Yasushi – Journal of Teaching and Learning, 2020
This paper proposes the theoretical context for a course development framework to address the specific needs and challenges of teaching and learning in interdisciplinary studies (IDS). User-centred design (UCD) principles are used for this development process. Traditional course development frameworks provide a helpful guide in terms of setting…
Descriptors: Instructional Design, Teaching Methods, Interdisciplinary Approach, Learning Processes
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Muslim, Arham; Chatti, Mohamed Amine; Bashir, Muhammad Bassim; Barrios Varela, Oscar Eduardo; Schroeder, Ulrik – Journal of Learning Analytics, 2018
Open Learning Analytics (OLA) is an emerging concept in the field of Learning Analytics (LA). It deals with learning data collected from multiple environments and contexts, analyzed with a wide range of analytics methods to address the requirements of different stakeholders. Due to this diversity in different dimensions of OLA, the LA developers…
Descriptors: Data Analysis, Learning, Models, Design
Peer reviewed Peer reviewed
Direct linkDirect link
Mende, Janne – Qualitative Research Journal, 2022
Purpose: This paper aims to introduce the extended qualitative content analysis (EQCA) method to integrate data-reducing and data-complicating research steps when conducting qualitative research on the United Nations and other international institutions. Design/methodology/approach: EQCA supplements the method of qualitative content analysis,…
Descriptors: International Organizations, Content Analysis, Grounded Theory, Correlation
Peer reviewed Peer reviewed
Direct linkDirect link
Naicker, Ramona – Education for Information, 2022
Racial bias in research impacts a study's relevancy, validity and reliability, though presently this aspect is not addressed in critical appraisal tools, and consequently appraisers may not take racial bias into account when assessing a paper's quality. Drawing on critical race theory (CRT) tenets that racism is ubiquitous and race a social…
Descriptors: Racism, Critical Race Theory, Disproportionate Representation, Minority Groups
Cecilia Mezzanotte; Claire Calvel – OECD Publishing, 2023
Calls for increased monitoring and evaluation of education policies and practices have not, so far, included widespread and consistent assessments of the inclusiveness of education settings. Measuring inclusion in education has proven to be a challenging exercise, due not only to the complexity and different uses of the concept, but also to its…
Descriptors: Educational Indicators, Inclusion, Educational Policy, Equal Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Marc T. Braverman – Journal of Human Sciences & Extension, 2019
This article examines the concept of credible evidence in Extension evaluations with specific attention to the measures and measurement strategies used to collect and create data. Credibility depends on multiple factors, including data quality and methodological rigor, characteristics of the stakeholder audience, stakeholder beliefs about the…
Descriptors: Extension Education, Program Evaluation, Evaluation Methods, Planning
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10  |  11  |  ...  |  21