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Levin-Banchik, Luba – Journal of Political Science Education, 2018
This study examines the effectiveness of teaching with simulations, compared to active learning without simulations. It utilizes an anonymous extra-credit pop quiz on four topics, each taught with a different method: (1) simulation and in-class debriefing; (2) simulation only; (3) in-class discussions with an accompanying research essay; and (4)…
Descriptors: Simulation, Instructional Effectiveness, Active Learning, Discussion (Teaching Technique)
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Al-Harthi, Aisha Salim Ali; Campbell, Chris; Karimi, Arafeh – Computers in the Schools, 2018
This study aimed to develop, validate, and trial a rubric for evaluating the cloud-based learning designs (CBLD) that were developed by teachers using virtual learning environments. The rubric was developed using the technological pedagogical content knowledge (TPACK) framework, with rubric development including content and expert validation of…
Descriptors: Computer Assisted Instruction, Scoring Rubrics, Interrater Reliability, Content Validity
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Teng, Chin-Hung; Chen, Jr-Yi; Chen, Zhi-Hong – Journal of Educational Computing Research, 2018
Although the learning of programming language is critical in science and technology education, it might be difficult for some students, especially novices. One possible reason might be the fact that programming language, especially for three-dimensional (3D) applications, is too complex and abstract for these students to understand. Programming…
Descriptors: Computer Simulation, Simulated Environment, Programming, Computer Science Education
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Romero, Mauricio; Riascos, Álvaro; Jara, Diego – Journal of Educational and Behavioral Statistics, 2015
Multiple-choice exams are frequently used as an efficient and objective method to assess learning, but they are more vulnerable to answer copying than tests based on open questions. Several statistical tests (known as indices in the literature) have been proposed to detect cheating; however, to the best of our knowledge, they all lack mathematical…
Descriptors: Cheating, Multiple Choice Tests, Statistical Analysis, Models
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Rajsic, Jason; Swan, Garrett; Wilson, Daryl E.; Pratt, Jay – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
In this article, we demonstrate limitations of accessibility of information in visual working memory (VWM). Recently, cued-recall has been used to estimate the fidelity of information in VWM, where the feature of a cued object is reproduced from memory (Bays, Catalao, & Husain, 2009; Wilken & Ma, 2004; Zhang & Luck, 2008). Response…
Descriptors: Short Term Memory, Recall (Psychology), Visual Perception, Cues
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Backman, Matthew D.; Delmas, Robert C.; Garfield, Joan – Statistics Education Research Journal, 2017
Cognitive transfer is the ability to apply learned skills and knowledge to new applications and contexts. This investigation evaluates cognitive transfer outcomes for a tertiary-level introductory statistics course using the CATALST curriculum, which exclusively used simulation-based methods to develop foundations of statistical inference. A…
Descriptors: Introductory Courses, Statistics, Mathematics Instruction, Simulation
Stanton, Lorraine May – ProQuest LLC, 2017
Virtual worlds are innovative teaching and learning methods that can provide immersive and engaging learning experiences (Lu, 2010). Though they have potential benefits, students sometimes experience a steep learning curve and discomfort with the technology (Warburton, 2009). This study explored how students in two American Studies classes using…
Descriptors: Undergraduate Students, Self Efficacy, Learning Experience, Computer Simulation
Fry, Elizabeth Brondos – ProQuest LLC, 2017
Recommended learning goals for students in introductory statistics courses include the ability to recognize and explain the key role of randomness in designing studies and in drawing conclusions from those studies involving generalizations to a population or causal claims (GAISE College Report ASA Revision Committee, 2016). The purpose of this…
Descriptors: Introductory Courses, Statistics, Concept Formation, Sampling
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Coulombe, Patrick; Selig, James P.; Delaney, Harold D. – International Journal of Behavioral Development, 2016
Researchers often collect longitudinal data to model change over time in a phenomenon of interest. Inevitably, there will be some variation across individuals in specific time intervals between assessments. In this simulation study of growth curve modeling, we investigate how ignoring individual differences in time points when modeling change over…
Descriptors: Individual Differences, Longitudinal Studies, Simulation, Change
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Guyon, Hervé; Tensaout, Mouloud – Measurement: Interdisciplinary Research and Perspectives, 2016
In this article, the authors extend the results of Aguirre-Urreta, Rönkkö, and Marakas (2016) concerning the omission of a relevant causal indicator by testing the validity of the assumption that causal indicators are entirely superfluous to the measurement model and discuss the implications for measurement theory. Contrary to common wisdom…
Descriptors: Causal Models, Structural Equation Models, Formative Evaluation, Measurement
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Dart, Evan H.; Radley, Keith C.; Briesch, Amy M.; Furlow, Christopher M.; Cavell, Hannah J.; Briesch, Amy M. – Behavioral Disorders, 2016
Two studies investigated the accuracy of eight different interval-based group observation methods that are commonly used to assess the effects of classwide interventions. In Study 1, a Microsoft Visual Basic program was created to simulate a large set of observational data. Binary data were randomly generated at the student level to represent…
Descriptors: Observation, Intervention, Simulation, Statistical Analysis
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Pribeanu, Costin; Balog, Alexandru; Iordache, Dragos Daniel – Interactive Learning Environments, 2017
Augmented reality (AR) technologies could enhance learning in several ways. The quality of an AR-based educational platform is a combination of key features that manifests in usability, usefulness, and enjoyment for the learner. In this paper, we present a multidimensional model to measure the quality of an AR-based application as perceived by…
Descriptors: Computer Simulation, Educational Technology, Measurement, Educational Quality
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Lin, Mike Tz-Yauw; Wang, Jau-Shyong; Kuo, Hui-Ming; Luo, Yuzhou – EURASIA Journal of Mathematics, Science & Technology Education, 2017
Applying education ideas and concepts to education sites, through good educational policies, to complete education tasks is important for developing personal potential. Centered on students, educational objective is to cultivate multiple talents for the future society. In such a rapidly changing era, limited knowledge is not enough to cope with…
Descriptors: Computer Simulation, Creativity, Student Leadership, Instructional Effectiveness
Maher, Pamela A. – ProQuest LLC, 2017
Technology in college classrooms has gone from being an enhancement to the learning experience to being something expected by both instructors and students. This design-based research investigation takes technology one step further, putting the tools used to teach directly in the hands of students. The study examined the affordances and…
Descriptors: Teaching Methods, Astronomy, Science Instruction, Introductory Courses
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Olvera Astivia, Oscar L.; Zumbo, Bruno D. – Educational and Psychological Measurement, 2015
To further understand the properties of data-generation algorithms for multivariate, nonnormal data, two Monte Carlo simulation studies comparing the Vale and Maurelli method and the Headrick fifth-order polynomial method were implemented. Combinations of skewness and kurtosis found in four published articles were run and attention was…
Descriptors: Data, Simulation, Monte Carlo Methods, Comparative Analysis
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