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Albreiki, Balqis; Habuza, Tetiana; Zaki, Nazar – International Journal of Educational Technology in Higher Education, 2023
Technological advances have significantly affected education, leading to the creation of online learning platforms such as virtual learning environments and massive open online courses. While these platforms offer a variety of features, none of them incorporates a module that accurately predicts students' academic performance and commitment.…
Descriptors: Identification, At Risk Students, Artificial Intelligence, Academic Achievement
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Ethan R. Van Norman; Jaclin Boorse; David A. Klingbeil – Grantee Submission, 2024
Despite the increased number of quantitative effect sizes developed for single-case experimental designs (SCEDs), visual analysis remains the gold standard for evaluating methodological rigor of SCEDs and determining whether a functional relation between the treatment and the outcome exists. The physical length and range of values plotted on x and…
Descriptors: Visual Aids, Outcomes of Education, Oral Reading, Reading Comprehension
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Ethan R. Van Norman; Jaclin Boorse; David A. Klingbeil – Journal of Behavioral Education, 2024
Despite the increased number of quantitative effect sizes developed for single-case experimental designs (SCEDs), visual analysis remains the gold standard for evaluating methodological rigor of SCEDs and determining whether a functional relation between the treatment and the outcome exists. The physical length and range of values plotted on x and…
Descriptors: Visual Aids, Outcomes of Education, Oral Reading, Reading Comprehension
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Groth, Randall E.; Jones, Matthew; Knaub, Mary – Mathematical Thinking and Learning: An International Journal, 2018
Informal best fit lines frequently appear in school curricula. Previous research collectively illustrates that the adjective informal does not translate to cognitive simplicity. Using existing literature, we create a hypothetical framework of cognitive processes associated with studying informal best fit lines. We refine the framework using data…
Descriptors: Models, Cognitive Processes, Student Attitudes, Graphs
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Altiparmak, Kemal – International Journal of Mathematical Education in Science and Technology, 2014
In mathematic courses, construction of some concepts by the students in a meaningful way may be complicated. In such circumstances, to embody the concepts application of the required technologies may reinforce learning process. Onset of learning process over daily life events of the student's environment may lure their attention and may…
Descriptors: Animation, Cognitive Processes, Mathematics Instruction, Experimental Groups
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Oravecz, Zita; Tuerlinckx, Francis; Vandekerckhove, Joachim – Psychological Methods, 2011
In this article a continuous-time stochastic model (the Ornstein-Uhlenbeck process) is presented to model the perpetually altering states of the core affect, which is a 2-dimensional concept underlying all our affective experiences. The process model that we propose can account for the temporal changes in core affect on the latent level. The key…
Descriptors: Individual Differences, Calculus, Models, Investigations
Arizona Department of Education, 2009
Every student should understand and use all concepts and skills from the previous grade levels. The standard is designed so that new learning builds on preceding skills. Communications, Problem-solving, Reasoning & Proof, Connections, and Representation are the process standards that are embedded throughout the teaching and learning of all…
Descriptors: Numeracy, Number Concepts, Grade 3, Mathematics Education
Arizona Department of Education, 2009
Every student should understand and use all concepts and skills from the previous grade levels. The standard is designed so that new learning builds on preceding skills. Communications, Problem-solving, Reasoning & Proof, Connections, and Representation are the process standards that are embedded throughout the teaching and learning of all…
Descriptors: Numeracy, Number Concepts, Grade 5, Mathematics Education
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Livingston, Samuel A.; Dorans, Neil J. – ETS Research Report Series, 2004
This paper describes an approach to item analysis that is based on the estimation of a set of response curves for each item. The response curves show, at a glance, the difficulty and the discriminating power of the item and the popularity of each distractor, at any level of the criterion variable (e.g., total score). The curves are estimated by…
Descriptors: Item Analysis, Computation, Difficulty Level, Test Items
Fitz-Gibbon, Carol Taylor; Morris, Lynn Lyons – 1978
The statistical methods presented in this workbook focus on the display of central tendency, statistical tests, and correlation. Chapters 2, 3, and 4 consist of worksheets, each of which provides step-by-step instructions for calculating and interpreting a particular statistical method. The introduction to each worksheet explains how and when to…
Descriptors: Computation, Computer Programs, Correlation, Data Analysis
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Norwood, Karen S.; Coston, Yvonne M. – Arithmetic Teacher, 1993
Describes four activities for grade levels K-3, 4-5, and 6-8 and for the family that explore statistical concepts using a manipulative familiar to students-SKITTLES candies. Concepts explored include frequency graphs, data collection and analysis, probability, measures of central tendency, averaging, and correlation coefficients. Includes…
Descriptors: Computation, Cooperative Learning, Correlation, Data Analysis
Pateman, Neil A., Ed; Dougherty, Barbara J., Ed.; Zilliox, Joseph T., Ed. – International Group for the Psychology of Mathematics Education, 2003
This volume of the 27th International Group for the Psychology of Mathematics Education Conference includes the following research reports: (1) The Affective Views of Primary School Children (Peter Grootenboer); (2) Theoretical Model of Analysis of Rate Problems in Algebra (Jose Guzman, Nadine Bednarz and Fernando Hitt); (3) Locating Fractions on…
Descriptors: Preservice Teacher Education, Preservice Teachers, Mathematics Education, Validity