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Ashby, F. Gregory; Vucovich, Lauren E. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
Feedback is highly contingent on behavior if it eventually becomes easy to predict, and weakly contingent on behavior if it remains difficult or impossible to predict even after learning is complete. Many studies have demonstrated that humans and nonhuman animals are highly sensitive to feedback contingency, but no known studies have examined how…
Descriptors: Feedback (Response), Classification, Learning Processes, Associative Learning
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Gottfried, Michael A.; Bozick, Robert – Education Finance and Policy, 2016
Recently, through the support from the Obama administration, the traditional STEM curricula (science, technology, engineering, and mathematics) in high schools are being updated with integrated, applied STEM courses (e.g., technology and engineering) in order to enhance the "real world" applicability of scientific fields and ultimately…
Descriptors: STEM Education, High School Students, College Students, Prior Learning
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Gomez-Zermeno, Marcela Gerogina; Aleman de La Garza, Lorena – Turkish Online Journal of Distance Education, 2016
This research's objective was to identify the terminal efficiency of the Massive Online Open Course "Educational Innovation with Open Resources" offered by a Mexican private university. A quantitative methodology was used, combining descriptive statistics and probabilistic models to analyze the levels of retention, completion, and…
Descriptors: Online Courses, Private Colleges, Statistical Analysis, Probability
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Westera, Wim – Education and Information Technologies, 2016
This paper is about performance assessment in serious games. We conceive serious gaming as a process of player-lead decision taking. Starting from combinatorics and item-response theory we provide an analytical model that makes explicit to what extent observed player performances (decisions) are blurred by chance processes (guessing behaviors). We…
Descriptors: Performance Based Assessment, Games, Item Response Theory, Scores
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Kuzniak, Alain; Nechache, Assia; Drouhard, J. P. – ZDM: The International Journal on Mathematics Education, 2016
According to our approach to mathematics education, the optimal aim of the teaching of mathematics is to assist students in achieving efficient mathematical work. But, what does efficient exactly mean in that case? And how can teachers reach this objective? The model of Mathematical Working Spaces with its three dimensions--semiotic, instrumental,…
Descriptors: Mathematics Education, Teaching Methods, Grade 9, Grade 10
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Andersson, Björn – Journal of Educational Measurement, 2016
In observed-score equipercentile equating, the goal is to make scores on two scales or tests measuring the same construct comparable by matching the percentiles of the respective score distributions. If the tests consist of different items with multiple categories for each item, a suitable model for the responses is a polytomous item response…
Descriptors: Equated Scores, Item Response Theory, Error of Measurement, Tests
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Fendler, Richard J.; Godbey, Jonathan M. – Journal of Academic Ethics, 2016
Numerous academic studies and reports indicate that as many as half of all students cheat on exams. Cheating on exams undermines the central purpose of a university, corrupts the meaning of grades as a measure of subject matter mastery, and significantly harms honest students. Although instructors are aware that many students cheat and they…
Descriptors: Cheating, Ethics, Student Behavior, Teacher Role
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Pan, Yilin – Society for Research on Educational Effectiveness, 2016
Given the necessity to bridge the gap between what happened and what is likely to happen, this paper aims to explore how to apply Bayesian inference to cost-effectiveness analysis so as to capture the uncertainty of a ratio-type efficiency measure. The first part of the paper summarizes the characteristics of the evaluation data that are commonly…
Descriptors: Resource Allocation, Cost Effectiveness, Bayesian Statistics, Statistical Analysis
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Majid al-Rifaie, Mohammad; Yee-King, Matthew; d'Inverno, Mark – International Educational Data Mining Society, 2016
This paper proposes a new technique for analysing the behaviour of students on an online course. This work considers a range of social learning behaviours supported in our recently designed and implemented collaborative learning system which supports students giving and receiving feedback on each other's developing work and practice. The course…
Descriptors: Student Behavior, Online Courses, Social Behavior, Data Analysis
Hamilton, Rashea; McCoach, D. Betsy; Tutwiler, M. Shane; Siegle, Del; Gubbins, E. Jean; Callahan, Carolyn M.; Brodersen, Annalissa V.; Mun, Rachel U. – Gifted Child Quarterly, 2018
Although the relationships between family income and student identification for gifted programming are well documented, less is known about how school and district wealth are related to student identification. To examine the effects of institutional and individual poverty on student identification, we conducted a series of three-level regression…
Descriptors: Academically Gifted, Poverty, Talent Identification, Low Income Students
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Gill, Tim – Research Papers in Education, 2018
In the UK, students who want to progress to higher education have a number of possible pathways at age 16. The most common of these is traditional, academic focussed, 'A' levels, but increasingly students are taking alternative qualifications (e.g. BTECs, IB, Pre-U). The focus of this research is to infer which (if any) of these qualifications are…
Descriptors: Statistical Analysis, Comparative Analysis, College Readiness, College Preparation
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Enderson, Mary C.; Grant, Melva R.; Liu, Yating – International Journal of Research in Education and Science, 2018
This study was conducted to propose a framework of professional development tasks (PDTs) that may be used to enhance mathematics coaches' content knowledge and understanding of student work, as well as to help them conceptualize their role in facilitating a professional learning community in school. In this qualitative design experiment,…
Descriptors: Mathematics Instruction, Mathematics Teachers, Coaching (Performance), Probability
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Wenqin, Shen; Yao, Gao; Bin, Zhang; Jin, Jiang – Asia Pacific Education Review, 2018
PhD graduates play an important role in the national innovation system. However, only a few studies have explored Chinese PhD graduates' employment and development prospects because of limited data. To fill in this gap, this study conducted a survey of doctoral recipients in 13 Chinese universities. The authors drew on the national survey data and…
Descriptors: Foreign Countries, Graduate Students, Career Choice, Preferences
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Ueno, Maomi; Miyazawa, Yoshimitsu – IEEE Transactions on Learning Technologies, 2018
Over the past few decades, many studies conducted in the field of learning science have described that scaffolding plays an important role in human learning. To scaffold a learner efficiently, a teacher should predict how much support a learner must have to complete tasks and then decide the optimal degree of assistance to support the learner's…
Descriptors: Scaffolding (Teaching Technique), Prediction, Probability, Comparative Analysis
Hamilton, Rashea; McCoach, D. Betsy; Tutwiler, M. Shane; Siegle, Del; Gubbins, E. Jean; Callahan, Carolyn M.; Brodersen, Annalissa V.; Mun, Rachel U. – Grantee Submission, 2018
Although the relationships between family income and student identification for gifted programming are well documented, less is known about how school and district wealth are related to student identification. To examine the effects of institutional and individual poverty on student identification, we conducted a series of three-level regression…
Descriptors: Academically Gifted, Disadvantaged Schools, Elementary School Students, Elementary Schools
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