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Judith Glaesser – Field Methods, 2025
In qualitative comparative analysis, as with all methods, there is a question about how many cases are needed to make an analysis robust. In deciding on the number of cases, a key consideration is the number of conditions to be analyzed. I suggest that adding cases is preferable to dropping conditions if there are too many conditions relative to…
Descriptors: Comparative Analysis, Robustness (Statistics), Sampling, Case Studies
Thuy Dung Pham Thi; Nam Tien Duong – Education and Information Technologies, 2024
With the explosive growth of various applications on the Internet, higher education institutions have advocated distance learning courses, making research on online learning increasingly important. This study attempts to emphasize the characteristics of instruction in online learning systems, using the Theory of Planned Behavior. Two groups of…
Descriptors: Electronic Learning, College Students, Behavior Theories, Intention
Joseph Tufuor Kwarteng; Maxmos Walasi Servoh – Cogent Education, 2023
This study employed a concurrent embedded design to compare the accounting curricula of selected universities in Africa, America, Asia, and Europe, guided by International Education Standards (IES) 2, 3, 4, and 5. Fourteen universities from different continents were conveniently selected, and a descriptive content analysis was conducted to analyse…
Descriptors: Accounting, Curriculum, Benchmarking, Foreign Countries
Remiro-Azócar, Antonio; Heath, Anna; Baio, Gianluca – Research Synthesis Methods, 2022
Population adjustment methods such as matching-adjusted indirect comparison (MAIC) are increasingly used to compare marginal treatment effects when there are cross-trial differences in effect modifiers and limited patient-level data. MAIC is based on propensity score weighting, which is sensitive to poor covariate overlap and cannot extrapolate…
Descriptors: Patients, Medical Research, Comparative Analysis, Outcomes of Treatment
Hendratno; Nurul Istiq’faroh; Fajar Nur Yasin; Amiruddin Hadi Wibowo; Abd. Ghofur – International Journal of Language Education, 2025
This study aims to determine the effectiveness of Fry readability-based digital storybooks on reading comprehension skills among elementary school students. The method used in this study was an experimental research design with a pretest-posttest control group design to measure students' reading comprehension skills. The sample of this study was…
Descriptors: Electronic Publishing, Story Reading, Reading Comprehension, Benchmarking
Maertens, Rien; Van Petegem, Charlotte; Strijbol, Niko; Baeyens, Toon; Jacobs, Arne Carla; Dawyndt, Peter; Mesuere, Bart – Journal of Computer Assisted Learning, 2022
Background: Learning to code is increasingly embedded in secondary and higher education curricula, where solving programming exercises plays an important role in the learning process and in formative and summative assessment. Unfortunately, students admit that copying code from each other is a common practice and teachers indicate they rarely use…
Descriptors: Plagiarism, Benchmarking, Coding, Computer Science Education
Rachel L. Schechter; Maddie Lee Mason; Laura Janakiefski – Online Submission, 2024
The ongoing literacy crisis in the U.S. highlights an urgent need for effective, scalable literacy instruction. REED Charitable Foundation (RCF) is a non-profit organization that provides structured literacy training informed by Orton-Gillingham, along with ongoing professional coaching and comprehensive implementation support to help all students…
Descriptors: Literacy Education, Reading Instruction, Reading Achievement, Achievement Gains
Design and Usability Evaluation of a Mobile App for Elementary School Inquiry-Based Science Learning
Iraya Yánez-Pérez; Radu Bogdan Toma; Jesús Ángel Meneses-Villagrá – School Science and Mathematics, 2025
Teachers often struggle to implement inquiry-based science teaching. To support them, IndagApp--a 3D educational app that offers curriculum-aligned, inquiry-based lesson plans--was designed. The app is rooted in the inquiry phases recommended in best-practices literature, which arguably align with most international standards. This study describes…
Descriptors: Usability, Computer Software, Private Schools, Public Schools
Price, Thomas W.; Dong, Yihuan; Zhi, Rui; Paaßen, Benjamin; Lytle, Nicholas; Cateté, Veronica; Barnes, Tiffany – International Journal of Artificial Intelligence in Education, 2019
In the domain of programming, a growing number of algorithms automatically generate data-driven, next-step hints that suggest how students should edit their code to resolve errors and make progress. While these hints have the potential to improve learning if done well, few evaluations have directly assessed or compared the quality of different…
Descriptors: Comparative Analysis, Programming Languages, Data Analysis, Evaluation Methods
Klingbeil, David A.; Van Norman, Ethan R.; Osman, David J.; Berry-Corie, Kimberly; Carberry, Caroline K.; Kim, Jessica S. – Journal of Psychoeducational Assessment, 2023
Early identification of students needing additional support is a foundational component of Multi-Tiered Systems of Support (MTSS). Due to the resource-intensive nature of implementing MTSS, it is critical that universal screening procedures are maximally accurate and efficient. The purpose of this study was to compare the classification accuracy…
Descriptors: Comparative Analysis, Benchmarking, Evaluation Methods, Screening Tests
Fatih Unlu; Douglas Lee Lauen; Sarah Crittenden Fuller; Tiffany Berglund; Elc Estrera – Grantee Submission, 2021
Do quasi-experimental (QE) studies conducted with baseline covariates that are typically available in the longitudinal administrative state databases yield unbiased effect estimates? This paper conducts a within-study comparison (WSC) study that compares experimental impacts of early college high school (ECHS) attendance with QE impacts drawn from…
Descriptors: Quasiexperimental Design, Longitudinal Studies, Databases, Statistical Bias
Fatih Unlu; Douglas Lee Lauen; Sarah Crittenden Fuller; Tiffany Berglund; Elc Estrera – Journal of Policy Analysis and Management, 2021
Do quasi-experimental (QE) studies conducted with baseline covariates that are typically available in the longitudinal administrative state databases yield unbiased effect estimates? This paper conducts a within-study comparison (WSC) study that compares experimental impacts of early college high school (ECHS) attendance with QE impacts drawn from…
Descriptors: Quasiexperimental Design, Longitudinal Studies, Databases, Statistical Bias
Carly D. Robinson; Cynthia Pollard; Sarah Novicoff; Sara White; Susanna Loeb – Annenberg Institute for School Reform at Brown University, 2024
In-person tutoring has been shown to improve academic achievement. Though less well-researched, virtual tutoring has also shown a positive effect on achievement but has only been studied in grade five or above. We present findings from the first randomized controlled trial of virtual tutoring for young children (grades K-2). Students were assigned…
Descriptors: Tutoring, Reading Instruction, Benchmarking, Reading Tests
Gerald Tindal; Joseph F. T. Nese – Behavioral Research and Teaching, 2024
We present two types of validity evidence to support inferences and decisions about use of easyCBMs in relation to state testing programs. The first type involves the use of Benchmarks in reading to use in making predictions of performance on the Smarter Balanced (SB) test. These predictions can be made both well in advance (several months) or…
Descriptors: Classification, Accuracy, Validity, Criteria
Singla, Adish; Theodoropoulos, Nikitas – International Educational Data Mining Society, 2022
Block-based visual programming environments are increasingly used to introduce computing concepts to beginners. Given that programming tasks are open-ended and conceptual, novice students often struggle when learning in these environments. AI-driven programming tutors hold great promise in automatically assisting struggling students, and need…
Descriptors: Programming, Computer Science Education, Task Analysis, Introductory Courses