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Lindsay Ellis Lee; Anne N. Rinn; Karen E. Rambo-Hernandez – Gifted Child Quarterly, 2024
The Torrance Test of Creative Thinking (TTCT) is the most widely used norm-referenced creativity test used in gifted identification. Although commonly used for identifying talent, little is known about how creativity tests, like the TTCT-Figural, contribute to the probability of being identified as gifted especially with underrepresented…
Descriptors: Gifted, Identification, Creativity Tests, Creative Thinking
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Courtney Pollack; Jordan L. Lawson; Anastasia E. Raczek; Eric Dearing; Mary E. Walsh; Gabrielle Kaufman; Yan R. Leigh – Applied Developmental Science, 2024
This study examines the long-term relation between an Integrated Student Support (ISS) intervention and postsecondary enrollment and completion for predominantly low-income students of color. We use propensity score weighting to estimate the relation between receiving ISS during elementary school and postsecondary outcomes for 2009-2017 high…
Descriptors: Low Income Students, Minority Group Students, Integrated Services, Student Needs
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Vinchristo, Aldi Alexander – Eurasian Journal of Applied Linguistics, 2022
This study examines Mood, Modality, and Attitude as a part of Appraisal theory in the Editorial News of the "Sydney Morning Herald" Interpersonal Meta function Analysis. Three methods were used, including (1) Indicative (Declarative and Interrogative) mood, (2) Modalization (Indicative Type), Probability (may be) and Usuality…
Descriptors: Interpersonal Communication, Phrase Structure, Discourse Analysis, Editing
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Ekol, George; Mlotshwa, Simphiwe – Pythagoras, 2022
This case study carried out during the 2020 coronavirus disease of 2019 (COVID-19) lockdown used online data collection means to investigate the distribution of cognitive demand levels of probability and counting principles (PCP) learning tasks in a popular online Grade 12 mathematics textbook, based on the PCP teachers' rating. The teachers'…
Descriptors: Cognitive Processes, Difficulty Level, Probability, Computation
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Elbehary, Samah Gamal Ahmed – International Electronic Journal of Mathematics Education, 2022
Probability signifies a mainstream strand in mathematics curricula. Nonetheless, many curricular documents prepared for teachers might not offer enough support. In such a situation, a further reflection on teachers' professional knowledge for teaching probability is demanded; especially, from the perspective of probabilistic reasoning (PoPR) that…
Descriptors: Probability, Mathematics Instruction, Mathematics Teachers, Pedagogical Content Knowledge
Christian, Alvin; Jacob, Brian; Singleton, John D. – Annenberg Institute for School Reform at Brown University, 2022
The COVID-19 pandemic drew new attention to the role of school boards in the U.S. In this paper, we examine school districts' choices of learning modality -- whether and when to offer in-person, virtual, or hybrid instruction -- over the course of the 2020-21 pandemic school year. The analysis takes advantage of granular weekly data on learning…
Descriptors: School Districts, Pandemics, COVID-19, Decision Making
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Erickson, Tim – Teaching Statistics: An International Journal for Teachers, 2017
Understanding a Bayesian perspective demands comfort with conditional probability and with probabilities that appear to change as we acquire additional information. This paper suggests a simple context in conditional probability that helps develop the understanding students would need for a successful introduction to Bayesian reasoning.
Descriptors: Bayesian Statistics, Probability, Introductory Courses, Mathematics Instruction
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Kamata, Akihito; Lan, Patrick; Gallegos, Elisa – AERA Online Paper Repository, 2017
This paper investigated the performance of a propensity score analysis by a simulation study that involved using 12 covariates consisting of 3 different variable types. The three types of covariates included covariates related only to the outcome measure, covariates related only to assignment of treatment, and covariates related to both outcome…
Descriptors: Statistical Analysis, Probability, Outcome Measures, Statistical Bias
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Solichin, Mohammad Muchlis; Muhlis, Achmad; Ferdiant, Ahmad Ghufran – International Journal of Instruction, 2021
The aim of this study is to examine the effect of social support and self-regulated learning on the learning outcomes in Islamic Education courses in the Management of Islamic Education, Faculty of Tarbiyah State Islamic State Institute for Islamic Studies of Madura. To achieve the purpose, the researcher used quantitative research method. The…
Descriptors: Learning Motivation, Social Support Groups, Islam, Religious Education
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Jones, Joshua – Mathematics Teacher: Learning and Teaching PK-12, 2021
Aside from being culturally relevant, artificial intelligence is also supporting companies in making business decisions. Consequently, "workforce needs have shifted rapidly," resulting in a demand for applicants who are skilled in "data, analytics, machine learning, and artificial intelligence" (Miller and Hughes 2017). This…
Descriptors: Man Machine Systems, Artificial Intelligence, Educational Technology, Technology Uses in Education
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Essien, Anthony A. – ZDM: Mathematics Education, 2021
The teaching of mathematics is mostly done with tasks that learners and teachers do or solve, in and outside of class. These tasks, which are used to illustrate concepts in mathematics, are referred to in this paper as examples in mathematics. Examples that teachers choose and use are fundamental to what mathematics is taught and learned, and what…
Descriptors: Multilingualism, Probability, Mathematics Instruction, Teaching Methods
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Rezaei, Mohammadsadegh; Bobarshad, Hossein; Badie, Kambiz – Interactive Learning Environments, 2021
The development of information technology and social networks has created new opportunities to access lifelong learning in the form of informal learning. In an informal learning environment, learning takes place via Communities of Practice (CoP). The learning success factors in online CoPs are learners' similarity in learning interests and…
Descriptors: Prediction, Electronic Learning, Communities of Practice, Information Technology
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Hu, Anning; Wu, Xiaogang – British Journal of Sociology of Education, 2021
This article investigates the association between cultural capital and the likelihood of attending an elite university within the Chinese socio-educational context. Drawing on data from the Beijing College Students Panel Survey, we show that: (1) objectified cultural capital is negatively correlated with the likelihood of attending an elite…
Descriptors: Foreign Countries, Cultural Capital, Colleges, Selective Admission
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Callingham, Rosemary; Watson, Jane; Oates, Greg – Australian Journal of Education, 2021
Mathematics curricula have traditionally focused on content knowledge, often in the form of a scope and sequence of increasingly difficult mathematics. The importance of using and applying mathematics is recognised in the current Australian Curriculum Mathematics (AC: M) as 'proficiencies' that are intended to be integrated with the content. There…
Descriptors: Mathematics Instruction, Teaching Methods, National Curriculum, Statistics
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Klingbeil, David A.; Van Norman, Ethan R.; Nelson, Peter M. – Assessment for Effective Intervention, 2021
This direct replication study compared the use of dichotomized likelihood ratios and interval likelihood ratios, derived using a prior sample of students, for predicting math risk in middle school. Data from the prior year state test and the Measures of Academic Progress were analyzed to evaluate differences in the efficiency and diagnostic…
Descriptors: Achievement Tests, Grade 6, Grade 7, At Risk Students
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