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Showing 1 to 15 of 17 results Save | Export
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Hanchen David Wang; Siwoo Bae; Xutong Sun; Yashvitha Thatigotla; Meiyi Ma – Grantee Submission, 2025
Wearable sensor technology has significantly enhanced healthcare quality, including physical therapy. However, due to the design of current deep learning models, existing works often ignore the unique variations of rest intervals between repetitions and variations in individual user progress, potentially hindering effective therapy outcomes. To…
Descriptors: Physical Therapy, Exercise, Artificial Intelligence, Measurement Equipment
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Suárez-Rodríguez, Mayra; Figueras, Olimpia – North American Chapter of the International Group for the Psychology of Mathematics Education, 2020
Researchers, who have studied the understanding of the density property in the set of decimal numbers, have shown that the student uses the property of the discrete of natural numbers to solve tasks related to density. So, a restructuring of concepts is necessary, that is, a conceptual change from "the discrete" to "the dense".…
Descriptors: Arithmetic, Numbers, Preservice Teachers, Mathematics Instruction
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Dermy, Oriane; Brun, Armelle – International Educational Data Mining Society, 2020
Analyzing students' activities in their learning process is an issue that has received significant attention in the educational data mining research field. Many approaches have been proposed, including the popular sequential pattern mining. However, the vast majority of the works do not focus on the time of occurrence of the events within the…
Descriptors: Learning Analytics, Time, College Freshmen, Intervals
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Martínez Pérez, Sandra Areli; Sánchez Sánchez, Ernesto A. – North American Chapter of the International Group for the Psychology of Mathematics Education, 2020
This work reports the results of a research aimed to know the probabilistic reasoning of high-school students when they deal with the notion of random intervals. An activity was carried out involving students between ages 16 and 17 who built random intervals through physical and computational simulations. The research question guiding this work…
Descriptors: High School Students, Thinking Skills, Probability, Intervals
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Mat-jizat, Jessnor Elmy – International Association for Development of the Information Society, 2018
This conceptual paper attempts to explore the use of Spaced Learning technique as a teaching and learning method. Amidst the rapidly changing technological environment, creating long-term memories is still at the core of education. Spaced Learning is a learning method in which highly condensed learning content is repeated three times, with two…
Descriptors: Learning Strategies, Long Term Memory, Repetition, Intervals
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Mandalapu, Varun; Chen, Lujie Karen; Chen, Zhiyuan; Gong, Jiaqi – International Educational Data Mining Society, 2021
With the increasing adoption of Learning Management Systems (LMS) in colleges and universities, research in exploring the interaction data captured by these systems is promising in developing a better learning environment and improving teaching practice. Most of these research efforts focused on course-level variables to predict student…
Descriptors: Integrated Learning Systems, Interaction, Undergraduate Students, Minority Group Students
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Choffin, Benoît; Popineau, Fabrice; Bourda, Yolaine; Vie, Jill-Jênn – International Educational Data Mining Society, 2019
Spaced repetition is among the most studied learning strategies in the cognitive science literature. It consists in temporally distributing exposure to an information so as to improve long-term memorization. Providing students with an adaptive and personalized distributed practice schedule would benefit more than just a generic scheduler. However,…
Descriptors: Intervals, Scheduling, Repetition, Memorization
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Inzunsa Cazares, Santiago – North American Chapter of the International Group for the Psychology of Mathematics Education, 2016
This article presents the results of a qualitative research with a group of 15 university students of social sciences on informal inferential reasoning developed in a computer environment on concepts involved in the confidence intervals. The results indicate that students developed a correct reasoning about sampling variability and visualized…
Descriptors: Qualitative Research, College Students, Inferences, Logical Thinking
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Triantafillou, Chrissavgi; Spiliotopoulou, Vasiliki; Potari, Despina – North American Chapter of the International Group for the Psychology of Mathematics Education, 2014
This study aims to explore how undergraduate students in mathematics and engineering professions make sense out of graphs representing periodic and repeated but non-periodic motions. In this study, making sense out of graphs means interpreting graphical features and describing a situation that could be represented by them. The data was collected…
Descriptors: Undergraduate Students, Graphs, Motion, Mathematics Education
Wang, Jianjun – Online Submission, 2010
The widely-used Tukey's HSD index is not produced in the current version of SPSS (i.e., PASW Statistics, version 18), and a computer program named "HSD Calculator" has been chosen to amend this problem. In comparison to hand calculation, this program application does not require table checking, which eliminates potential concern on the size of a…
Descriptors: Computers, Computer Software, Social Studies, Comparative Analysis
Briggs, Derek C. – Online Submission, 2010
The purpose of creating a developmental (i.e., vertical) score scale is to make it possible to compare students in terms of differences in magnitude. In other words, the scale should have interval properties. When this has been accomplished one can claim to measure growth in a sense that is both coherent and meaningful. In this paper I argue…
Descriptors: Academic Achievement, Measures (Individuals), Intervals, Item Response Theory
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Ballou, Dale – National Center on Performance Incentives, 2008
As currently practiced, value-added assessment relies on a strong assumption about the scales used to measure student achievement, namely that these are interval scales, with equal-sized gains at all points on the scale representing the same increment of learning. Many of the metrics in which test results are expressed do not have this property…
Descriptors: Test Items, Intervals, Data Analysis, Item Response Theory
Lang, W. Steve; Wilkerson, Judy R. – Online Submission, 2008
The National Council for Accreditation of Teacher Education (NCATE, 2002) requires teacher education units to develop assessment systems and evaluate both the success of candidates and unit operations. Because of a stated, but misguided, fear of statistics, NCATE fails to use accepted terminology to assure the quality of institutional evaluative…
Descriptors: State Standards, Validity, Resource Materials, Reliability
Rochat, P. – 1983
Pressure variations applied by newborns and by infants 1 to 4 months old to rubber nipples were recorded in three different procedures under no-fluid conditions. In the first study, infants were presented for 90 seconds with novel nipples varying in shape and in shape plus material. Results suggested that a developmental trend existed for an…
Descriptors: Age Differences, Exploratory Behavior, Infant Behavior, Infants
Schafer, William D.; Papapolydorou, Maria; Rahman, Taslima; Parker, Lori – Online Submission, 2005
Possible relationships between five test examiner characteristics (gender, race, tenure, experience as a test administrator, and experience as a test developer or scorer) and six student achievement scores (reading, writing, language usage, mathematics, science, and social studies) were studied at the school level in a statewide assessment. The…
Descriptors: Intervals, Academic Achievement, Test Validity, Examiners
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