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Sun, Min; Penner, Emily K.; Loeb, Susanna – Grantee Submission, 2017
Hoping to spur dramatic school turnaround, the federal government channeled resources to the country's lowest-performing schools through School Improvement Grants (SIG). However, prior research on SIG effectiveness is limited and focuses primarily on student achievement. This study uses a difference-in-differences strategy to estimate program…
Descriptors: Grants, Educational Improvement, School Turnaround, Federal Aid
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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
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Yimer, Sirak Tsegaye; Feza, Nosisi Nellie – International Electronic Journal of Mathematics Education, 2020
This study examined the influence of the jigsaw co-operative learning strategy integrated with GeoGebra (JCLGS), on Ethiopian undergraduate statistics and chemistry learners' conceptual knowledge development and attitudinal change towards calculus. The post-positivism quantitative methods approach employed in a non-equivalent pre-and post-test…
Descriptors: Attitude Change, Mathematics Instruction, Calculus, Cooperative Learning
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Fellers, Pamela S.; Kuiper, Shonda – Journal of Statistics Education, 2020
Increasingly students, particularly those in the social sciences, work with survey data collected through a more complex sampling method than a simple random sample. Failing to understand how to properly approach survey data can lead to inaccurate results. In this article, we describe a series of online data visualization applications and…
Descriptors: Statistics, Introductory Courses, Teaching Methods, Concept Formation
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Avci, Esat; Coskuntuncel, Orkun – Pegem Journal of Education and Instruction, 2019
The purpose of this research is to examine the views of middle school mathematics teachers about the usability of VUstat and TinkerPlots software in data processing learning in the Curriculum of Mathematics Teaching in Middle School (5th, 6th, 7th and 8th grades). In the study, the phenomenology design from qualitative research patterns was…
Descriptors: Middle School Teachers, Mathematics Teachers, Teacher Attitudes, Computer Uses in Education
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Saidi, Siti Shahirah; Siew, Nyet Moi – International Electronic Journal of Mathematics Education, 2019
This study is an assessment of the reliability and validity analysis of Statistical Reasoning Test Survey (SRTS) instrument using the Rasch Measurement Model. The SRTS instrument was developed by the researchers to assess students' statistical reasoning in descriptive statistics among Tenth Grade science- stream students in rural schools. SRTS was…
Descriptors: Test Reliability, Test Validity, Item Response Theory, Grade 10
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Wathen, Samuel; Rhew, Nicholas D. – Decision Sciences Journal of Innovative Education, 2019
A primary goal of introductory statistics courses is to develop a student's ability to think statistically. To motivate students to this end, the literature suggests that statistics courses use exercises that are relevant and familiar to students. Work in educational psychology highlights the importance of connecting new concepts to pre-existing…
Descriptors: Team Sports, Data Use, Introductory Courses, Statistics
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Bebermeier, Sarah; Kerkhoff, Denise – Psychology Teaching Review, 2019
The Etherpad is an open source online editor providing the possibility for collaborative writing and discussions in real-time via a shared link. Previous research has shown that the use of technology in higher education can be effective and that online editors can facilitate collaborative learning. This article outlines the use of the Etherpad in…
Descriptors: Open Source Technology, Collaborative Writing, Editing, Technology Uses in Education
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Aksu, Gokhan; Reyhanlioglu Keceoglu, Cigdem – Eurasian Journal of Educational Research, 2019
Purpose: In this study, Logistic Regression (LR), CHAID (Chi-squared Automatic Interaction Detection) analysis and data mining methods are used to investigate the variables that predict the mathematics success of the students. Research Methods: In this study, a quantitative research design was employed during the data collection and the analysis…
Descriptors: Regression (Statistics), Data Collection, Information Retrieval, Predictor Variables
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Steedle, Jeffrey T.; Morrison, Kristin M. – Educational Assessment, 2019
Assessment items are commonly field tested prior to operational use to observe statistical item properties such as difficulty. Item parameter estimates from field testing may be used to assign scores via pre-equating or computer adaptive designs. This study examined differences between item difficulty estimates based on field test and operational…
Descriptors: Field Tests, Test Items, Statistics, Difficulty Level
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Luo, Yong; Dimitrov, Dimiter M. – Educational and Psychological Measurement, 2019
Plausible values can be used to either estimate population-level statistics or compute point estimates of latent variables. While it is well known that five plausible values are usually sufficient for accurate estimation of population-level statistics in large-scale surveys, the minimum number of plausible values needed to obtain accurate latent…
Descriptors: Item Response Theory, Monte Carlo Methods, Markov Processes, Outcome Measures
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Vaheoja, Monika; Verhelst, N. D.; Eggen, T.J.H.M. – European Journal of Science and Mathematics Education, 2019
In this article, the authors applied profile analysis to Maths exam data to demonstrate how different exam forms, differing in difficulty and length, can be reported and easily interpreted. The results were presented for different groups of participants and for different institutions in different Maths domains by evaluating the balance. Some…
Descriptors: Feedback (Response), Foreign Countries, Statistical Analysis, Scores
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Mezhennaya, Natalia M.; Pugachev, Oleg V. – European Journal of Contemporary Education, 2019
Typical difficulties in learning probabilistic subjects are concerned with big data, complicated formulas and inconvenient figures in statistical analyses. The present research considers the usage of innovative teaching methods (e.g. electronic summary of lectures, presentations of lecture courses, task solution templates, electronic training…
Descriptors: Mathematics Instruction, Probability, Statistics, Teaching Methods
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Yousef, Darwish Abdulrahman – Quality Assurance in Education: An International Perspective, 2019
Purpose: The present study aims to investigate the effects of a number of demographic and academic factors, such as gender, age, nationality (Emirati vs non-Emirati), high school major (arts vs science) and high school score, on the academic performance -- measured by overall grade point average -- of undergraduate students majoring in statistics…
Descriptors: Academic Achievement, Statistics, Undergraduate Students, Generalization
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Qi, Zhenghan; Sanchez Araujo, Yoel; Georgan, Wendy C.; Gabrieli, John D. E.; Arciuli, Joanne – Scientific Studies of Reading, 2019
There is growing interest in the link between implicit statistical learning (SL) and reading ability. Although learning to read involves both auditory and visual modalities, it is not known whether reading skills might be more strongly associated with auditory SL or visual SL. Here we assessed SL across both modalities in 36 typically developing…
Descriptors: Children, Adolescents, Adults, Reading Ability
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