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Schechter, Chen; Qadach, Mowafaq; Da'as, Rima'a – Learning Organization, 2022
Purpose: Organizational learning (OL) has been conceptualized as a critical component in school change processes. Nevertheless, OL in the school context is still somewhat obscure and difficult to comprehend, thus it is rarely translated into operational structures and processes and later permanently sustained. The purpose of this study is to…
Descriptors: Organizational Learning, Data Collection, Elementary School Teachers, Teacher Attitudes
Premaraja, Ruwan P. – International Journal of Learning and Change, 2022
This study focuses on the experimental design concept to test the association between academic achievement and sports participation of secondary students. This association was tested using qualitative and quantitative data analysis through a case study. Findings displayed a similarity with the conceptual model by Fejgin (1994), with three…
Descriptors: Data Collection, Student Participation, Athletics, Academic Achievement
Tong, Stephanie Tom – Communication Teacher, 2022
Courses: Research methods for undergraduates or graduates. Objectives: The aims of this activity are: (1) to clarify the basics of experimental design; (2) to illustrate the concept of levels of measurement; (3) to demonstrate in-person/hands-on data collection procedures; (4) to understand and practice the steps in null hypothesis testing; and…
Descriptors: Experiential Learning, Research Design, Courses, Research Methodology
Reniers, Jennifer; Mathany, Clarke; Farkas, Megan; Pollock, Heather; Husband, Brian C. – Canadian Journal for the Scholarship of Teaching and Learning, 2022
Curriculum mapping is the process of creating a visual representation of the teaching and assessment of learning outcomes in a degree, program or major. Best practice recommendations about curriculum mapping typically focus on mapping individual programs. Therefore, many recommendations, such as meeting individually with faculty as they map their…
Descriptors: Curriculum Development, Concept Mapping, Higher Education, Majors (Students)
An, Lily Shiao; Ho, Andrew Dean; Davis, Laurie Laughlin – Educational Measurement: Issues and Practice, 2022
Technical documentation for educational tests focuses primarily on properties of individual scores at single points in time. Reliability, standard errors of measurement, item parameter estimates, fit statistics, and linking constants are standard technical features that external stakeholders use to evaluate items and individual scale scores.…
Descriptors: Documentation, Scores, Evaluation Methods, Longitudinal Studies
Lakshminarayanan, Srinivasan; Rao, N. J. – Higher Education for the Future, 2022
There are many grey areas in the interpretation of academic integrity in the course on Introduction to Programming, commonly known as CS1. Copying, for example, is a method of learning, a method of cheating and a reuse method in professional practice. Many institutions in India publish the code in the lab course manual. The students are expected…
Descriptors: Integrity, Cheating, Duplication, Introductory Courses
Neal, Jennifer Watling; Neal, Zachary P. – School Psychology, 2022
Understanding educators' networks can inform the field of school psychology by offering insight into how the structure of social relationships supports the implementation of school-based programs. However, the difficulties of collecting and modeling network data remain barriers to using network methods in school psychology. To overcome these…
Descriptors: Data Collection, Visualization, Models, Social Networks
Solís-Cordero, Katherine; Lerner, Rogério; Marinho, Patricia; Camargo, Patricia; Takey, Silvia; Fujimori, Elizabeth – International Journal of Social Research Methodology, 2022
The current situation due to the COVID-19 pandemic has had huge consequences in all aspects of our lives, including the development of research activities. Studies involving face-to-face interaction with people, such as randomized controlled trials, were the first affected. The objective of this article is to present the insights on challenges…
Descriptors: COVID-19, Pandemics, Randomized Controlled Trials, Barriers
Hilliker, Angela K.; Grayson, Kristine L. – Biochemistry and Molecular Biology Education, 2022
As biologists accumulate or encounter increasingly large and complex data sets, our field creates the need for students to develop skills in data exploration and visualization. Many biology courses lack the time for students to develop the skills needed to parse complex datasets and visualize them appropriately. We developed a new upper-level…
Descriptors: Science Instruction, Biology, Undergraduate Students, Data Collection
Guo, Hongwen – Educational Measurement: Issues and Practice, 2022
Many educational summative and formative assessments have been transferred to a remote online setting because of the pandemic. Educational professionals and stakeholders have shown interest in learning how this change in the test mode influenced test takers; that is, whether test-taking experiences in a remote test setting were different from…
Descriptors: Distance Education, Educational Assessment, Student Evaluation, Summative Evaluation
Goldstein, Mike – Education Next, 2022
Bridge International Academies, the largest network of elementary schools in the developing world operates both low-cost private schools, and public-private partnership schools. More than 800,000 students are enrolled in 2,026 schools in five countries. Bridge tries lots of different ideas and initiatives, many of which are backed up by research…
Descriptors: Foreign Countries, Developing Nations, Private Schools, Public Schools
Shen, Ting; Konstantopoulos, Spyros – Practical Assessment, Research & Evaluation, 2022
Large-scale assessment survey (LSAS) data are collected via complex sampling designs with special features (e.g., clustering and unequal probability of selection). Multilevel models have been utilized to account for clustering effects whereas the probability weighting approach (PWA) has been used to deal with design informativeness derived from…
Descriptors: Sampling, Weighted Scores, Hierarchical Linear Modeling, Educational Research
McInroy, Lauren B.; Beer, Oliver W. J. – International Journal of Social Research Methodology, 2022
Consisting of brief and evocative scenarios, vignettes effectively elicit stimulus responses, examine individual cognitions, and explore novel or sensitive topics. While information and communication technologies have expanded research methods, methodological and ethical considerations for design and implementation of digital vignettes necessitate…
Descriptors: Vignettes, Internet, Online Surveys, Data Collection
Li, Ak Wai; Sinnamon, Luanne S.; Kopak, Rick – Information and Learning Sciences, 2022
Purpose: The purpose of this study is to explore open data portals as data literacy learning environments. The authors examined the obstacles faced and strategies used by university students as non-expert open data portal users with different levels of data literacy, to inform the design of portals intended to scaffold informal and situated…
Descriptors: Data Collection, Multiple Literacies, Data, College Students
Early Childhood Technical Assistance Center, 2022
Partnerships between the Early Hearing Detection and Intervention (EHDI) program and Part C of the Individuals with Disabilities Education Act (IDEA) program can support and improve outcomes for children who are deaf or hard of hearing (DHH) and their families. Collaboration between these programs is specified in the IDEA Part C Regulations 34 CFR…
Descriptors: Data Use, Data Collection, Partnerships in Education, Hearing Impairments

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