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Chan, Wendy; Oh, Jimin – Journal of Experimental Education, 2023
Many generalization studies in education are typically based on a sample of 30-70 schools while the inference population is at least twenty times larger. This small sample to population size ratio limits the precision of design-based estimators of the population average treatment effect. Prior work has shown the potential of small area estimation…
Descriptors: Generalization, Computation, Probability, Sample Size
Sisk, Caitlin A.; Interrante, Victoria; Jiang, Yuhong V. – Cognitive Research: Principles and Implications, 2021
When a visual search target frequently appears in one target-rich region of space, participants learn to search there first, resulting in faster reaction time when the target appears there than when it appears elsewhere. Most research on this location probability learning (LPL) effect uses 2-dimensional (2D) search environments that are distinct…
Descriptors: Spatial Ability, Probability, Visual Stimuli, Learning Processes
Li, ZhaoBin; Yee, Luna; Sauerberg, Nathaniel; Sakson, Irene; Williams, Joseph Jay; Rafferty, Anna N. – International Educational Data Mining Society, 2020
Digital educational technologies offer the potential to customize students' experiences and learn what works for which students, enhancing the technology as more students interact with it. We consider whether and when attempting to discover how to personalize has a cost, such as if the adaptation to personal information can delay the adoption of…
Descriptors: Educational Technology, Technology Uses in Education, Student Needs, Student Characteristics
Case, Catherine; Battles, Melanie; Jacobbe, Tim – Investigations in Mathematics Learning, 2019
The study presented in this article examined the impact of two simulation-based inference activities on students' understanding of p-values in a second undergraduate statistics course. In the study, students familiar with traditional inference methods used physical and computer simulations to estimate p-values. To examine students' conceptions…
Descriptors: Probability, Computer Simulation, Statistics, Mathematics Instruction
Li, Shan; Zheng, Juan; Lajoie, Susanne P. – Educational Technology & Society, 2022
Examining the sequential patterns of self-regulated learning (SRL) behaviors is gaining popularity to understand students' performance differences. However, few studies have looked at the transition probabilities among different SRL behaviors. Moreover, there is a lack of research investigating the temporal structures of students' SRL behaviors…
Descriptors: Problem Solving, Intelligent Tutoring Systems, Metacognition, Sequential Approach
Zhang, Qiao; Maclellan, Christopher J. – International Educational Data Mining Society, 2021
Knowledge tracing algorithms are embedded in Intelligent Tutoring Systems (ITS) to keep track of students' learning process. While knowledge tracing models have been extensively studied in offline settings, very little work has explored their use in online settings. This is primarily because conducting experiments to evaluate and select knowledge…
Descriptors: Electronic Learning, Mastery Learning, Computer Simulation, Intelligent Tutoring Systems
Kalinowski, Steven T. – Educational and Psychological Measurement, 2019
Item response theory (IRT) is a statistical paradigm for developing educational tests and assessing students. IRT, however, currently lacks an established graphical method for examining model fit for the three-parameter logistic model, the most flexible and popular IRT model in educational testing. A method is presented here to do this. The graph,…
Descriptors: Item Response Theory, Educational Assessment, Goodness of Fit, Probability
Crupi, Vincenzo; Nelson, Jonathan D.; Meder, Björn; Cevolani, Gustavo; Tentori, Katya – Cognitive Science, 2018
Searching for information is critical in many situations. In medicine, for instance, careful choice of a diagnostic test can help narrow down the range of plausible diseases that the patient might have. In a probabilistic framework, test selection is often modeled by assuming that people's goal is to reduce uncertainty about possible states of the…
Descriptors: Information Theory, Cognitive Processes, Information Seeking, Probability
Bárcena, M. J.; Garín, M. A.; Martín, A.; Tusell, F.; Unzueta, A. – Journal of Statistics Education, 2019
Teaching some concepts in statistics greatly benefits from individual practice with immediate feedback. In order to provide such practice to a large number of students we have written a simulator based on an historical event: the loss in May 22, 1968, and subsequent search for the nuclear submarine USS Scorpion. Students work on a simplified…
Descriptors: Computer Simulation, Computer Assisted Instruction, Teaching Methods, Bayesian Statistics
Kakouros, Sofoklis; Räsänen, Okko – Cognitive Science, 2016
Numerous studies have examined the acoustic correlates of sentential stress and its underlying linguistic functionality. However, the mechanism that connects stress cues to the listener's attentional processing has remained unclear. Also, the learnability versus innateness of stress perception has not been widely discussed. In this work, we…
Descriptors: Acoustics, Cues, Sentences, Listening
Koparan, Timur – International Journal of Assessment Tools in Education, 2019
Technology and games are the areas where learners are most interested in today's world. If these two can be brought together within the framework of learning objectives, they can be an advantage for teachers and students. This study aims to investigate the learning environment supported by game and simulation. The games were used to evaluate the…
Descriptors: Computer Simulation, Game Based Learning, Educational Environment, Probability
Cai, Su; Liu, Enrui; Shen, Yang; Liu, Changhao; Li, Shuhui; Shen, Yihua – Interactive Learning Environments, 2020
The development of Augmented Reality technologies has enabled students to learn in an environment that combines learning resources from the real and digital world. This paper integrates three mobile Augmented Reality-based applications into a series of mathematics lessons on probabilities in a junior high school. This paper aims to examine how…
Descriptors: Probability, Mathematics Instruction, Computer Simulation, Instructional Effectiveness
Rein, Benjamin A.; McNeil, Daniel W.; Hayes, Allison R.; Hawkins, T. Anne; Ng, H. Mei; Yura, Catherine A. – Journal of American College Health, 2018
Objective: Training programs exist that prepare college students, faculty, and staff to identify and support students potentially at risk for suicide. Kognito is an online program that trains users through simulated interactions with virtual humans. This study evaluated Kognito's effectiveness in preparing users to intervene with at-risk students.…
Descriptors: College Students, Program Evaluation, Suicide, Prevention
Moussa-Inaty, Jase; Causapin, Mark – International Journal for Technology in Mathematics Education, 2019
The majority of university students in the United Arab Emirates are English language learners. As a country that has only recently established its educational system based on an American model, it has adopted English as its language for teaching and learning. Challenges related to the use of a second language have been noted and simple…
Descriptors: Cognitive Processes, Difficulty Level, Probability, Statistics Education
Chen, Binglin; West, Matthew; Ziles, Craig – International Educational Data Mining Society, 2018
This paper attempts to quantify the accuracy limit of "nextitem-correct" prediction by using numerical optimization to estimate the student's probability of getting each question correct given a complete sequence of item responses. This optimization is performed without an explicit parameterized model of student behavior, but with the…
Descriptors: Accuracy, Probability, Student Behavior, Test Items