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Shifeng Liu; Florence T. Bourgeois; Claire Narang; Adam G. Dunn – Research Synthesis Methods, 2024
Searching for trials is a key task in systematic reviews and a focus of automation. Previous approaches required knowing examples of relevant trials in advance, and most methods are focused on published trial articles. To complement existing tools, we compared methods for finding relevant trial registrations given a International Prospective…
Descriptors: Artificial Intelligence, Medical Research, Experimental Groups, Control Groups
Michael Gusenbauer – Research Synthesis Methods, 2024
Citation indices providing information on backward citation (BWC) and forward citation (FWC) links are essential for literature discovery, bibliographic analysis, and knowledge synthesis, especially when language barriers impede document identification. However, the suitability of citation indices varies. While some have been analyzed, the…
Descriptors: Citation Indexes, Information Retrieval, Databases, Web Sites
Christopher Cleveland; Jessica Markham – Annenberg Institute for School Reform at Brown University, 2024
Students with disabilities represent 15% of U.S. public school students. Individualized Education Programs (IEPs) inform how students with disabilities experience education. Very little is known about the aspects of IEPs as they are historically paper-based forms. In this study, we develop a coding taxonomy to categorize IEP goals into 10 subjects…
Descriptors: Individualized Education Programs, Special Needs Students, Special Education, Taxonomy
Jennifer Campbell; Katie Ansell; Tim Stelzer – Physical Review Physics Education Research, 2024
Recent advances in publicly available natural language processors (NLP) may enhance the efficiency of analyzing student short-answer responses in physics education research (PER). We train a state-of-the-art NLP, IBM's Watson, and test its agreement with human coders using two different studies that gathered text responses in which students…
Descriptors: Artificial Intelligence, Physics, Natural Language Processing, Computer Uses in Education
Vaillant, Denise; Rodríguez Zidán, Eduardo; Bentancor-Biagas, Gustavo – EURASIA Journal of Mathematics, Science and Technology Education, 2021
This article is based on research in which the three authors participated. The main objective is to identify, describe and analyze the practices of using digital tools and platforms for teaching mathematics in lower secondary education. Framed within a set of ICT policies promoted since 2007 by Plan CEIBAL in Uruguay, a mixed study was conducted,…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Mathematics Instruction
Raykov, Tenko – Measurement: Interdisciplinary Research and Perspectives, 2023
This software review discusses the capabilities of Stata to conduct item response theory modeling. The commands needed for fitting the popular one-, two-, and three-parameter logistic models are initially discussed. The procedure for testing the discrimination parameter equality in the one-parameter model is then outlined. The commands for fitting…
Descriptors: Item Response Theory, Models, Comparative Analysis, Item Analysis
Jennifer Nakamura; Maddie Cincebeaux; Todd Grindal – SRI Education, a Division of SRI International, 2023
Digital learning programs are a promising tool to support teachers in providing students with strong early literacy instruction, but more research is needed to understand their effectiveness. Sound Town is a digital early literacy program that provides children in prekindergarten with instruction and practice in foundational literacy skills, using…
Descriptors: Preschool Education, Preschool Teachers, Emergent Literacy, Electronic Learning
Mezhennaya, Natalia M.; Pugachev, Oleg V. – Problems of Education in the 21st Century, 2019
This research presents the analysis of image of the popular program packages: CAS (Computer Algebra Systems) Matlab, Mathcad, Mathematica, and the spreadsheet 'Microsoft Excel' among students of engineering specializations studying in Bauman Moscow State Technical University (BMSTU). The research has explored perception of program packages by all…
Descriptors: Student Attitudes, Algebra, Computer Software, Engineering Education
Hayes, Timothy – Journal of Educational and Behavioral Statistics, 2019
Multiple imputation is a popular method for addressing data that are presumed to be missing at random. To obtain accurate results, one's imputation model must be congenial to (appropriate for) one's intended analysis model. This article reviews and demonstrates two recent software packages, Blimp and jomo, to multiply impute data in a manner…
Descriptors: Computer Software Evaluation, Computer Software Reviews, Hierarchical Linear Modeling, Data Analysis
Tijani, Olawale Kazeem; Obielodan, Omotayo; Akingbemisilu, Abiola – International Journal of Education and Development using Information and Communication Technology, 2020
The study evaluated usability of the "Opón-Ìmo" Technology Enhanced Learning System ("OTELS"), an educational software deployed for teaching and learning across state-owned senior secondary schools in Osun State, Nigeria. It employed a descriptive research design of the survey type. Eight teacher-educators in Educational…
Descriptors: Educational Technology, Teacher Educators, Teacher Attitudes, Integrated Learning Systems
Kim, Minjung; Hsu, Hsien-Yuan – Journal of Educational and Behavioral Statistics, 2019
Given the natural hierarchical structure in school-setting data, multilevel modeling (MLM) has been widely employed in education research using a number of different statistical software packages. The purpose of this article is to review a recent feature of Stat-JR, the statistical analysis assistants (SAAs) embedded in Stat-JR (Version 1.0.5),…
Descriptors: Hierarchical Linear Modeling, Statistical Analysis, Computer Software, Computer Software Evaluation
Sharon R. Mittiga; Nerelie C. Freeman; Erin S. Leif; Brett E. Furlonger; Ellen Pattison – Education and Treatment of Children, 2024
Advances in classroom behavior management mobile applications (CBM apps) have led some teachers to use them to supplement their existing student management strategies, although little is known about their effectiveness in facilitating behavior change. This systematic review aimed to identify and appraise research on the effectiveness of CBM apps…
Descriptors: Journal Articles, Classroom Techniques, Classroom Environment, Behavior Change
Ana Lidia Franzoni Velázquez; Esperanza Huerta; Scott Jensen – Discover Education, 2024
This two-part study describes a learning exercise including a video and a worksheet designed to raise students' awareness of the need to evaluate the completeness of references generated by ChatGPT. The first part of the study assesses the completeness and relevance of academic references generated by ChatGPT using four prompts and three versions…
Descriptors: Artificial Intelligence, Students, Instructional Material Evaluation, Computer Assisted Instruction
Michael E. J. Stouthandel; Lena Van Beek; Joris Van de Velde; Carl Vangestel; Tom Van Hoof – Anatomical Sciences Education, 2024
For this pilot study, the use of the digital 3D anatomy application Complete Anatomy was evaluated as a non-mandatory additional study tool throughout the semester. The aim of the study was to investigate if the Complete Anatomy usage time had an effect on final exam grades and how the app was used post-COVID-19. This cross-sectional study asked…
Descriptors: College Freshmen, Physical Therapy, Allied Health Occupations Education, Visual Aids
Hong-Thu Thi Nguyen – Interactive Learning Environments, 2024
This article investigates the impact of LMS-based integrated online assessment implementation (LbIOA) on fostering learning motivation and academic performance from tertiary students' experiences and instructors' perspectives. A total of 156 students and seven teachers from the English department at a university in Vietnam participated in the…
Descriptors: Learning Management Systems, Computer Assisted Testing, Motivation, Performance