Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 4 |
Since 2006 (last 20 years) | 11 |
Descriptor
Higher Education | 31 |
Predictor Variables | 31 |
Computer Simulation | 17 |
Simulation | 15 |
College Students | 11 |
Foreign Countries | 9 |
Models | 8 |
Comparative Analysis | 6 |
Student Motivation | 6 |
Academic Achievement | 5 |
Educational Technology | 5 |
More ▼ |
Source
Author
Publication Type
Education Level
Higher Education | 11 |
Postsecondary Education | 8 |
Elementary Secondary Education | 2 |
Adult Education | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Secondary Education | 1 |
Audience
Practitioners | 3 |
Teachers | 2 |
Administrators | 1 |
Researchers | 1 |
Location
Netherlands | 4 |
Australia | 2 |
Germany | 2 |
Turkey | 2 |
United Kingdom | 2 |
Arizona | 1 |
Asia | 1 |
Brazil | 1 |
Connecticut | 1 |
Denmark | 1 |
Egypt | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Benakli, Nadia; Kostadinov, Boyan; Satyanarayana, Ashwin; Singh, Satyanand – International Journal of Mathematical Education in Science and Technology, 2017
The goal of this paper is to promote computational thinking among mathematics, engineering, science and technology students, through hands-on computer experiments. These activities have the potential to empower students to learn, create and invent with technology, and they engage computational thinking through simulations, visualizations and data…
Descriptors: Calculus, Probability, Data Analysis, Computation
Saxton, M. Kim – Marketing Education Review, 2015
Badging has become a popular tool for obtaining social recognition for personal accomplishments. This innovation describes a way to add badging to a marketing simulation to increase student motivation to achieve the simulation's goals. Assessments indicate that badging both motivates students to perform better and helps explain students' perceived…
Descriptors: Marketing, Learning Motivation, Innovation, Simulation
Demirer, Veysel; Erbas, Cagdas – Turkish Online Journal of Distance Education, 2016
This study aims to review studies on virtual learning environments in Turkey through the content analysis method. 63 studies consisting of thesis, articles and proceedings published in Turkish and English between 1996-2014 years were analyzed. It was observed that "Second Life" was mostly preferred as the virtual learning environment.…
Descriptors: Foreign Countries, Virtual Classrooms, Electronic Learning, Educational Trends
Kline, Joel – ProQuest LLC, 2012
An understanding of the impact of user avatar alteration in relation to social presence is needed to fully realize the potential of Second Life for higher education usages, which the research literature reveals as an environment that provides increased social presence. Prior studies focused primarily on the impact of system design attributes on…
Descriptors: Virtual Classrooms, Computer Simulation, Higher Education, Online Courses
Lievens, Filip; Patterson, Fiona – Journal of Applied Psychology, 2011
In high-stakes selection among candidates with considerable domain-specific knowledge and experience, investigations of whether high-fidelity simulations (assessment centers; ACs) have incremental validity over low-fidelity simulations (situational judgment tests; SJTs) are lacking. Therefore, this article integrates research on the validity of…
Descriptors: Investigations, Job Performance, Validity, Assessment Centers (Personnel)
Saeed, Nauman; Sinnappan, Sukunesan – International Journal of Virtual and Personal Learning Environments, 2013
Second Life is a three dimensional multi-user virtual environment within the Web 2.0 suite of applications which has gained wide spread popularity amongst educators in the recent years. However, limited empirical research has been reported on the adoption of Second Life, especially within higher education. The majority of technology adoption…
Descriptors: Web 2.0 Technologies, Educational Technology, Technology Uses in Education, Higher Education
Simonson, Michael, Ed.; Seepersaud, Deborah, Ed. – Association for Educational Communications and Technology, 2018
For the forty-first time, the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented at the annual AECT Convention in Kansas City, Missouri. The Proceedings of AECT's Convention are published in two volumes. Volume 1 contains twenty-seven…
Descriptors: Instructional Design, Educational Technology, Technology Uses in Education, Higher Education
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
Stewart, Kelise K.; Carr, James E.; Brandt, Charles W.; McHenry, Meade M. – Journal of Applied Behavior Analysis, 2007
The present study evaluated the effects of both a traditional lecture and the conservative dual-criterion (CDC) judgment aid on the ability of 6 university students to visually inspect AB-design line graphs. The traditional lecture reliably failed to improve visual inspection accuracy, whereas the CDC method substantially improved the performance…
Descriptors: Inspection, Graphs, College Students, Lecture Method

Beard, Michael W. – Journal of Dental Education, 1984
In an investigation of the predictors of success on the dental National Board Examinations Part II, three studies were undertaken to test (1) the factual validity of a mock examination, (2) the usefulness of the mock examination as a predictor of board examination success, and (3) whether the third cross-validated the previous findings. (MSE)
Descriptors: Certification, Dental Students, Higher Education, Predictor Variables

Pope, James A.; Evans, John P. – College and University, 1985
A model using four categories of college applicants (enrollment deposit paid, deposit not yet paid, applicants not yet admitted, and those who have not yet applied) that allows forecasting of freshman enrollment from any point in the admission process and simulates the effects of trends and strategies on enrollment is outlined. (MSE)
Descriptors: College Admission, College Applicants, Enrollment Projections, Higher Education
Martinez-Torres, M. R.; Toral, S. L. Marin; Garcia, F. Barrero; Vazquez, S. Gallardo; Oliva, M. Arias; Torres, T. – Behaviour & Information Technology, 2008
The application of scientific tools to analyse the use of Internet-based e-learning tools in academic settings is in general an ignored area. E-learning tools are actually an emergent topic as a result of the new ideas introduced by the European Higher Education Area. Lifelong learning, or the promotion of student initiative, is the new paradigm…
Descriptors: Higher Education, Student Attitudes, Lifelong Learning, Laboratories

Weiler, William C.; Wilson, F. Scott – Research in Higher Education, 1984
An important part of the analysis of the expected effects of institutional closure is estimation of redistribution of students attending the closed school. How coefficient estimates from models of enrollment demand can be used to predict the alternative attendance choices of students enrolled at the closed school is discussed. (Author/MLW)
Descriptors: College Students, Declining Enrollment, Enrollment Influences, Enrollment Projections

Osberg, Timothy M. – Teaching of Psychology, 1992
Describes a classroom demonstration that simulates a verbal encounter with a person experiencing symptoms of schizophrenia. Suggests that the instructor deliver an unannounced monologue that illustrates the disordered thought and speech of a person with schizophrenia. Discusses student evaluation of the demonstration. Concludes that students in…
Descriptors: Clinical Diagnosis, Demonstrations (Educational), Higher Education, Introductory Courses

Veenman, Marcel V. J.; Elshout, Jan J. – Learning and Instruction, 1991
Fourteen high-intelligence and 13 low-intelligence first-year college students worked in a structured or unstructured simulation environment to learn correlational principles. Thinking-aloud protocols indicate that high-intelligence subjects exhibit a better working method than do low-intelligence subjects, and that working method is a strong…
Descriptors: College Freshmen, Comparative Analysis, Correlation, Foreign Countries