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Navarro, Carlos; Delgado, Islande; Calderón, María G. – Journal of Educational Psychology - Propositos y Representaciones, 2019
In Costa Rica, before 2016 the subject of statistics was not included in the national high school tests in Mathematics. As of 2016, the test, consisting of 60 items, includes 9 statistical items. On the other hand, teachers in their lessons usually use traditional expository methods, mediated by the use of a blackboard and printed materials. In…
Descriptors: Multimedia Instruction, Statistics, High School Equivalency Programs, Adult Programs
Cui, Yang; Chu, Man-Wai; Chen, Fu – Journal of Educational Data Mining, 2019
Digital game-based assessments generate student process data that is much more difficult to analyze than traditional assessments. The formative nature of game-based assessments permits students, through applying and practicing the targeted knowledge and skills during gameplay, to gain experiences, receive immediate feedback, and as a result,…
Descriptors: Educational Games, Student Evaluation, Data Analysis, Bayesian Statistics
Immekus, Jason C. – Journal of Statistics Education, 2019
This article examines the integration of cognitive psychology research and technology within existing frameworks of statistics course design and implementation for a sequence of flipped graduate-level courses. Particular focus is the use of the principles of spacing and retrieval practice within the flipped classroom format as strategic approaches…
Descriptors: Blended Learning, Statistics, Cognitive Psychology, Curriculum Design
Bennett, Daniel L.; Edwards, Elyssa; Ngai, Courtney – Educational Studies, 2019
We study the effects of homeschool background and time use on academic performance among students at Patrick Henry College, a private religious institution with a 63-credit core classical liberal arts curriculum. Using ordinary least squares regression analysis, we examine four research questions: (1) Does time use influence academic performance?…
Descriptors: Academic Achievement, Home Schooling, Private Colleges, Parent Background
Peters, Susan A.; Gross, Michelle; Stokes-Levine, Amy – Mathematics Teaching in the Middle School, 2019
Statistics standards found in the Common Core (CCSSI 2010) and other state standards require considerable instructional time and focus for students to develop the depth and breadth of understanding necessary. In this article, the authors offer an approach to teaching a statistics unit that combines student choice with authentic and sustained…
Descriptors: Statistics, Active Learning, Student Projects, Student Interests
Smith, Caroline; Fitzallen, Noleine; Watson, Jane; Wright, Suzie – Teaching Science, 2019
STEM education is becoming more common in schools and provides a range of exciting real-world contexts in which students can engage. However, a gap in most approaches to STEM remains the collection and use of data that can be used concurrently to develop statistical literacy and science literacy. This paper describes a STEM activity carried out…
Descriptors: STEM Education, Elementary School Students, Elementary School Teachers, Preservice Teachers
Leganes-Fonteneau, Mateo; Nikolaou, Kyriaki; Scott, Ryan; Duka, Theodora – Learning & Memory, 2019
Stimuli conditioned with a substance can generate drug-approach behaviors due to their acquired motivational properties. According to implicit theories of addiction, these stimuli can decrease cognitive control automatically. The present study (n = 49) examined whether reward-associated stimuli can interfere with cognitive processes in the absence…
Descriptors: Knowledge Level, Rewards, Conditioning, Bayesian Statistics
Sinclair, Arabella; McCurdy, Kate; Lucas, Christopher G.; Lopez, Adam; Gaševic, Dragan – International Educational Data Mining Society, 2019
Prior research has shown that, under certain conditions, Human-Agent (H-A) alignment exists to a stronger degree than that found in Human-Human (H-H) communication. In an H-H Second Language (L2) setting, evidence of alignment has been linked to learning and teaching strategy. We present a novel analysis of H-A and H-H L2 learner dialogues using…
Descriptors: Second Language Learning, Second Language Instruction, Dialogs (Language), Teaching Methods
Vaske, Jerry J. – Sagamore-Venture, 2019
Data collected from surveys can result in hundreds of variables and thousands of respondents. This implies that time and energy must be devoted to (a) carefully entering the data into a database, (b) running preliminary analyses to identify any problems (e.g., missing data, potential outliers), (c) checking the reliability and validity of the…
Descriptors: Surveys, Theories, Hypothesis Testing, Effect Size
Vernon J. Richardson; Yuxin Shan – Advances in Accounting Education: Teaching and Curriculum Innovations, 2019
The accounting profession is beginning to demand data analytics skills from its professionals to handle the increasing amount of data available to address accounting questions. Indeed, the explosion of data availability and data are changing the accounting profession, providing accountants the opportunity to continue as key financial information…
Descriptors: Accounting, Business Administration Education, Data Analysis, Decision Making
Goyder, John – Canadian Journal of Higher Education, 2014
This paper replicates the work of Giles and Drewes from the 1990s. They showed a catch-up effect whereby graduates of liberal arts undergraduate programs, although at an early-career disadvantage compared with graduates of applied programs, had higher incomes by mid-career. Working with the Panel 5 Survey of Labour and Income Dynamics (2005-2010),…
Descriptors: Foreign Countries, Liberal Arts, Higher Education, Undergraduate Study
Pan, Tianshu; Yin, Yue – Applied Measurement in Education, 2017
In this article, we propose using the Bayes factors (BF) to evaluate person fit in item response theory models under the framework of Bayesian evaluation of an informative diagnostic hypothesis. We first discuss the theoretical foundation for this application and how to analyze person fit using BF. To demonstrate the feasibility of this approach,…
Descriptors: Bayesian Statistics, Goodness of Fit, Item Response Theory, Monte Carlo Methods
D'amico, Diana; Pawlewicz, Robert J.; Earley, Penelope M.; McGeehan, Adam P. – Harvard Educational Review, 2017
In this article, Diana D'Amico, Robert J. Pawlewicz, Penelope M. Earley, and Adam P. McGeehan examine the racial composition of one public school district's teacher labor market through teacher application data and subsequent hiring decisions. Researchers and policy makers have long noted the lack of racial diversity among the nation's public…
Descriptors: Labor Market, African American Teachers, Racial Composition, Racial Discrimination
López-Bonilla, Luis Miguel; López-Bonilla, Jesús Manuel – British Journal of Educational Technology, 2017
The debate about the role of attitude in the technology acceptance model (TAM) seems to have re-emerged in two prestigious journals in the field of educational technology. Among the publications on this debate, there are authors in favour of excluding the attitude of TAM, whereas others are in favour of including it. These opinions are derived…
Descriptors: Computer Attitudes, Adoption (Ideas), Models, Educational Technology
Selig, James P.; Trott, Arianna; Lemberger, Matthew E. – Journal for Specialists in Group Work, 2017
Researchers in group counseling often encounter complex data from individual clients who are members of a group. Clients in the same group may be more similar than clients from different groups and this can lead to violations of statistical assumptions. The complexity of the data also means that predictors and outcomes can be measured at both the…
Descriptors: Group Counseling, Hierarchical Linear Modeling, Research, Client Characteristics (Human Services)

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