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Yang, Xi; Chen, Jin – Environmental Education Research, 2017
Botanical gardens (BGs) are important agencies that enhance human knowledge and attitude towards flora conservation. By following free-choice learning model, we developed a "Discovery map" and distributed the map to visitors at the Xishuangbanna Tropical Botanical Garden in Yunnan, China. Visitors, who did and did not receive discovery…
Descriptors: Maps, Learning Processes, Environmental Education, Foreign Countries
Duzenli, Tugba; Yilmaz, Serap; Alpak, Elif Merve – Eurasian Journal of Educational Research, 2017
Purpose: One of the modeling methods used in the training of all design disciplines is physical model making. This study investigates the model-making technique and emphasizes the positive effects of model-making and its utility in the academic setting in order to understand its effects on design and learning. The "Equipment Design"…
Descriptors: Models, Design, Architectural Education, Architecture
Faber, Myrthe; Gennari, Silvia P. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
The field of psychology of time has typically distinguished between prospective timing and retrospective duration estimation: in prospective timing, participants attend to and encode time, whereas in retrospective estimation, estimates are based on the memory of what happened. Prior research on prospective timing has primarily focused on…
Descriptors: Memory, Psychology, Statistical Analysis, Time Management
Kaser, Tanja; Klingler, Severin; Schwing, Alexander G.; Gross, Markus – IEEE Transactions on Learning Technologies, 2017
Intelligent tutoring systems adapt the curriculum to the needs of the individual student. Therefore, an accurate representation and prediction of student knowledge is essential. Bayesian Knowledge Tracing (BKT) is a popular approach for student modeling. The structure of BKT models, however, makes it impossible to represent the hierarchy and…
Descriptors: Bayesian Statistics, Models, Intelligent Tutoring Systems, Networks
Ullrich, Laura D.; Murray, Matthew N. – Journal of Education Finance, 2017
"Tennessee Small School Systems v. McWherter" case led to a significant reform of the state's school finance system during 1992-1993 with the phased-in implementation of the Basic Education Program. This paper examines the impact of Tennessee's school finance reform on education spending using a complete panel of school districts from…
Descriptors: Court Litigation, State Legislation, Educational Legislation, Educational Finance
Castela, Marta; Erdfelder, Edgar – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
The recognition heuristic (RH) theory predicts that, in comparative judgment tasks, if one object is recognized and the other is not, the recognized one is chosen. The memory-state heuristic (MSH) extends the RH by assuming that choices are not affected by recognition judgments per se, but by the memory states underlying these judgments (i.e.,…
Descriptors: Memory, Heuristics, Recognition (Psychology), Hypothesis Testing
Vonk, Matthew; Bohacek, Peter; Militello, Cheryl; Iverson, Ellen – Physical Review Physics Education Research, 2017
This study focuses on student development of two important laboratory skills in the context of introductory college-level physics. The first skill, which we call model making, is the ability to analyze a phenomenon in a way that produces a quantitative multimodal model. The second skill, which we call model breaking, is the ability to critically…
Descriptors: Models, Design, Video Technology, College Science
Huang, Hung-Yu – Educational and Psychological Measurement, 2017
Mixture item response theory (IRT) models have been suggested as an efficient method of detecting the different response patterns derived from latent classes when developing a test. In testing situations, multiple latent traits measured by a battery of tests can exhibit a higher-order structure, and mixtures of latent classes may occur on…
Descriptors: Item Response Theory, Models, Bayesian Statistics, Computation
Van Horn, M. Lee; Jaki, Thomas; Masyn, Katherine; Howe, George; Feaster, Daniel J.; Lamont, Andrea E.; George, Melissa R. W.; Kim, Minjung – Educational and Psychological Measurement, 2015
Research increasingly emphasizes understanding differential effects. This article focuses on understanding regression mixture models, which are relatively new statistical methods for assessing differential effects by comparing results to using an interactive term in linear regression. The research questions which each model answers, their…
Descriptors: Regression (Statistics), Models, Statistical Analysis, Comparative Analysis
Fugard, Andrew J. B.; Potts, Henry W. W. – International Journal of Social Research Methodology, 2015
Thematic analysis is frequently used to analyse qualitative data in psychology, healthcare, social research and beyond. An important stage in planning a study is determining how large a sample size may be required, however current guidelines for thematic analysis are varied, ranging from around 2 to over 400 and it is unclear how to choose a value…
Descriptors: Sample Size, Research Methodology, Qualitative Research, Computation
Smedema, Susan Miller; Kesselmayer, Rachel Friefeld; Peterson, Lauren – Rehabilitation Research, Policy, and Education, 2018
Purpose: To test a meditation model of the relationship between core self-evaluations (CSE) and job satisfaction in employed individuals with disabilities. Method: A quantitative descriptive design using Hayes's (2012) PROCESS macro for SPSS and multiple regression analysis. Two-hundred fifty-nine employed persons with disabilities were recruited…
Descriptors: Self Evaluation (Individuals), Job Satisfaction, Employees, Disabilities
Zhang, Zhidong – International Education Studies, 2018
This study explored a diagnostic assessment method that emphasized the cognitive process of algebra learning. The study utilized a design and a theory-driven model to examine the content knowledge. Using the theory driven model, the thinking skills of algebra learning was also examined. A Bayesian network model was applied to represent the theory…
Descriptors: Algebra, Bayesian Statistics, Scores, Mathematics Achievement
Goi, Mei-Teh; Kalidas, Vigneswari; Yunus, Norzita – Journal of Marketing for Higher Education, 2018
This study aims to examine the Stimulus-Organism-Response (SOR) model in the context of Higher Education Institutions (HEIs). Unlike previous studies, this study tested two organism variables, namely emotion and experience, as mediators in the relationship between seven dimensions of stimulus and response. Self-administered questionnaires were…
Descriptors: Higher Education, College Students, Public Colleges, Private Colleges
Bey, Anis; Jermann, Patrick; Dillenbourg, Pierre – Educational Technology & Society, 2018
Computer-graders have been in regular use in the context of MOOCs (Massive Open Online Courses). The automatic grading of programs presents an opportunity to assess and provide tailored feedback to large classes, while featuring at the same time a number of benefits like: immediate feedback, unlimited submissions, as well as low cost of feedback.…
Descriptors: Comparative Analysis, Online Courses, Feedback (Response), Foreign Countries
Carbone, Dominic J. – Community College Journal of Research and Practice, 2018
The present study attempted to explore if learning is as effective in the web-based platform as it is in the traditional or web-enhanced modalities. Unlike prior studies that measured learning using course grades and subjective student reporting, this study used an empirical method to develop a valid and reliable measure of learning. Data from 346…
Descriptors: College Students, Introductory Courses, Psychology, Learning Modalities

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