NotesFAQContact Us
Collection
Advanced
Search Tips
What Works Clearinghouse Rating
Showing 646 to 660 of 2,837 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Estwick, Noel M.; Griffin, Richard W.; James, Annette A.; Roberson, Samuel G. – Journal of Extension, 2016
There have been numerous efforts aimed at improving geographic literacy in order to address societal challenges. Extension educators can use geographic information system (GIS) technology to help their clients cultivate spatial thinking skills and solve problems. Researchers can use it to model relationships and better answer questions. A program…
Descriptors: Extension Education, Geographic Information Systems, Experiential Learning, Science Education
Peer reviewed Peer reviewed
Direct linkDirect link
Weiss, Michael J.; Lockwood, J. R.; McCaffrey, Daniel F. – Journal of Research on Educational Effectiveness, 2016
In the "individually randomized group treatment" (IRGT) experimental design, individuals are first randomly assigned to a treatment arm or a control arm, but then within each arm, are grouped together (e.g., within classrooms/schools, through shared case managers, in group therapy sessions, through shared doctors, etc.) to receive…
Descriptors: Randomized Controlled Trials, Error of Measurement, Control Groups, Experimental Groups
Peer reviewed Peer reviewed
Direct linkDirect link
Pezzulo, Giovanni; Cartoni, Emilio; Rigoli, Francesco; io-Lopez, Léo; Friston, Karl – Learning & Memory, 2016
Balancing habitual and deliberate forms of choice entails a comparison of their respective merits--the former being faster but inflexible, and the latter slower but more versatile. Here, we show that arbitration between these two forms of control can be derived from first principles within an Active Inference scheme. We illustrate our arguments…
Descriptors: Interference (Learning), Epistemology, Physiology, Neurology
Peer reviewed Peer reviewed
Direct linkDirect link
Chen, Chen; Schneps, Matthew H.; Sonnert, Gerhard – Journal of Science Education and Technology, 2016
Teachers choosing between different models to facilitate students' understanding of an abstract system must decide whether to adopt a model that is simplified and striking or one that is realistic and complex. Only recently have instructional technologies enabled teachers and learners to change presentations swiftly and to provide for learning…
Descriptors: High School Students, Secondary School Science, Science Education, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Lee, Hollylynne S.; Doerr, Helen M.; Tran, Dung; Lovett, Jennifer N. – Statistics Education Research Journal, 2016
Repeated sampling approaches to inference that rely on simulations have recently gained prominence in statistics education, and probabilistic concepts are at the core of this approach. In this approach, learners need to develop a mapping among the problem situation, a physical enactment, computer representations, and the underlying randomization…
Descriptors: Probability, Inferences, Statistics, Teaching Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Al Hallak, Louna; Ayoubi, Rami M.; Moscardini, Alfredo; Loutfi, Mohamed – Studies in Higher Education, 2019
This paper investigates the dynamics of student enrolment in the Syrian private higher education sector. The paper adopts a system dynamics approach, to construct suitable simulation models that could be used to examine the complex and dynamic interactions between student flows, staff ratios and investments in plant and facilities. The study…
Descriptors: Private Colleges, College Administration, Enrollment Trends, Higher Education
Grayburn, Jennifer, Ed.; Lischer-Katz, Zack, Ed.; Golubiewski-Davis, Kristina, Ed.; Ikeshoji-Orlati, Veronica, Ed. – Council on Library and Information Resources, 2019
This volume, comprising eight chapters from experts in a variety of fields, examines the use of three-dimensional (3D) and virtual reality (VR) technologies in research and teaching, and the library's vital role in supporting this work. 3D modeling, 3D capture techniques, and VR enable faculty and students to engage with highly detailed 3D…
Descriptors: Computer Simulation, Library Services, Academic Libraries, Educational Trends
Peer reviewed Peer reviewed
Direct linkDirect link
Blackwell, Matthew; Honaker, James; King, Gary – Sociological Methods & Research, 2017
We extend a unified and easy-to-use approach to measurement error and missing data. In our companion article, Blackwell, Honaker, and King give an intuitive overview of the new technique, along with practical suggestions and empirical applications. Here, we offer more precise technical details, more sophisticated measurement error model…
Descriptors: Error of Measurement, Correlation, Simulation, Bayesian Statistics
Peer reviewed Peer reviewed
Direct linkDirect link
Thornburgh, William R.; Tretter, Thomas R. – Science Teacher, 2017
This article describes a unit in which students investigate total solar eclipses, such as the one coming August 21, from several perspectives. It incorporates mathematical thinking and aligns with the "Next Generation Science Standard." This article refers to physical, virtual, and mathematical modeling. Various models and perspectives…
Descriptors: Astronomy, Mathematical Models, Recreational Facilities, Lunar Research
Peer reviewed Peer reviewed
Direct linkDirect link
Debeer, Dries; Janssen, Rianne; De Boeck, Paul – Journal of Educational Measurement, 2017
When dealing with missing responses, two types of omissions can be discerned: items can be skipped or not reached by the test taker. When the occurrence of these omissions is related to the proficiency process the missingness is nonignorable. The purpose of this article is to present a tree-based IRT framework for modeling responses and omissions…
Descriptors: Item Response Theory, Test Items, Responses, Testing Problems
Peer reviewed Peer reviewed
Direct linkDirect link
Stamey, James D.; Beavers, Daniel P.; Sherr, Michael E. – Sociological Methods & Research, 2017
Survey data are often subject to various types of errors such as misclassification. In this article, we consider a model where interest is simultaneously in two correlated response variables and one is potentially subject to misclassification. A motivating example of a recent study of the impact of a sexual education course for adolescents is…
Descriptors: Bayesian Statistics, Classification, Models, Correlation
Peer reviewed Peer reviewed
Direct linkDirect link
Moore, Corey L.; Wang, Ningning; Washington, Janique Tynez – Rehabilitation Research, Policy, and Education, 2017
Purpose: This study assessed and demonstrated the efficacy of two select empirical forecast models (i.e., autoregressive integrated moving average [ARIMA] model vs. grey model [GM]) in accurately predicting state vocational rehabilitation agency (SVRA) rehabilitation success rate trends across six different racial and ethnic population cohorts…
Descriptors: Rehabilitation, Models, Vocational Rehabilitation, Success
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Seker, Burcu Sezginsoy; Erdem, Aliye – Journal of Education and Training Studies, 2017
Students learning a defined subject only perform by learning of thinking based on the concepts forming that subjects. Otherwise, students may move away from the scientific meaning of concepts and may fall into conceptual errors. Students' conceptual errors affect their following learning and cause them resist change. It is possible to prevent this…
Descriptors: Lesson Plans, Models, Scientific Concepts, Concept Teaching
Peer reviewed Peer reviewed
Direct linkDirect link
Namgyel, Tshewang; Bharaphan, Khajornsak – Asia-Pacific Forum on Science Learning and Teaching, 2017
Photoelectric effect is regarded as one difficult topic in physics for science students because it is the abstract and multidimensional phenomenon. This study aims to develop the learning unit incorporated simulation and game with the 5E learning cycle for promoting the grade 12 science students' understanding of photoelectric effect and learning…
Descriptors: Computer Games, Computer Simulation, Grade 12, Physics
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Gautam, Dipesh; Swiecki, Zachari; Shaffer, David W.; Graesser, Arthur C.; Rus, Vasile – International Educational Data Mining Society, 2017
Virtual internships are online simulations of professional practice where students play the role of interns at a fictional company. During virtual internships, participants complete activities and then submit write-ups in the form of short answers, digital notebook entries. Prior work used classifiers trained on participant data to automatically…
Descriptors: Computer Simulation, Internship Programs, Semantics, College Students
Pages: 1  |  ...  |  40  |  41  |  42  |  43  |  44  |  45  |  46  |  47  |  48  |  ...  |  190