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Ye, Pinghao; Liu, Liqiong; Gao, Linxia; Mei, Quanjun – International Journal of Information and Communication Technology Education, 2020
The article finds the main factors affecting women's continuance intention for mobile games, and analyze how and to what extent these factors affect women's continuance intention for mobile games in a research model. In this study, a Model of Factors Affecting Women's continued interest in mobile gaming is comprised of eight variables and relevant…
Descriptors: Females, Computer Games, Telecommunications, Handheld Devices
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Ulmer, Jeffrey M. – Journal of Technology Education, 2020
Final course grades and professionalism grades were compared to determine statistically significant differences for (1) students with 90% or higher final course grades, (2) students with 80-90% final course grades, (3) students with 70-80% final course grades, (4) students with 0-70% final course grades, and (5) all students with a final course…
Descriptors: Professionalism, Grades (Scholastic), Comparative Analysis, Engineering Education
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Nilsson, Per – Statistics Education Research Journal, 2020
This study examines informal hypothesis testing in the context of drawing inferences of underlying probability distributions. Through a small-scale teaching experiment of three lessons, the study explores how fifth-grade students distinguish a non-uniform probability distribution from uniform probability distributions in a data-rich learning…
Descriptors: Hypothesis Testing, Statistics Education, Probability, Statistical Inference
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Kang, Sujeong; Choi, Naya – Early Child Development and Care, 2020
Considerable studies have shown the protective effects of breastfeeding on internalizing problem behaviours in early childhood, yet little is known about the groundwork for this relationship. This study attempted to test the hypothesis that improvement of mothers' positive parenting behaviours by breastfeeding can explain the relationship. We used…
Descriptors: Infants, Nutrition, Behavior Problems, Hypothesis Testing
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Gordon, Sheldon P.; Gordon, Florence S. – PRIMUS, 2020
This article illustrates ways that dynamic software using some sophisticated techniques in Excel can be used to demonstrate fundamental ideas related to hypothesis testing to increase student understanding of the concepts and methods in elementary statistics courses. The article considers hypothesis tests for the population mean with large or…
Descriptors: Hypothesis Testing, Computer Software, Educational Technology, Technology Uses in Education
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Nauer, Rachel K.; Schon, Karin; Stern, Chantal E. – Learning & Memory, 2020
With a rising aging population, it is important to develop behavioral tasks that assess and track cognitive decline, and to identify protective factors that promote healthy brain aging. Mnemonic discrimination tasks that rely on pattern separation mechanisms are a promising metric to detect subtle age-related memory impairments. Behavioral…
Descriptors: Mnemonics, Physical Fitness, Cognitive Ability, Aging (Individuals)
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Bosch, Nigel – Journal of Educational Data Mining, 2021
Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…
Descriptors: Accuracy, Learning Analytics, Models, National Competency Tests
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Dittrich, Dino; Leenders, Roger Th. A. J.; Mulder, Joris – Sociological Methods & Research, 2019
Currently available (classical) testing procedures for the network autocorrelation can only be used for falsifying a precise null hypothesis of no network effect. Classical methods can be neither used for quantifying evidence for the null nor for testing multiple hypotheses simultaneously. This article presents flexible Bayes factor testing…
Descriptors: Correlation, Bayesian Statistics, Networks, Evaluation Methods
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Simpson, Adrian – Educational Researcher, 2019
A recent paper uses Bayes factors to argue a large minority of rigorous, large-scale education RCTs are "uninformative." The definition of "uninformative" depends on the authors' hypothesis choices for calculating Bayes factors. These arguably overadjust for effect size inflation and involve a fixed prior distribution,…
Descriptors: Randomized Controlled Trials, Bayesian Statistics, Educational Research, Program Evaluation
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Oke, Muse; Oni, Omobukola; Bello, Ronke; Samuel-Omoyajowo, Kennedy; Senbadejo, Tosin – Biochemistry and Molecular Biology Education, 2019
Bioinformatics was recently introduced as a module for both undergraduate and postgraduate biological sciences students at our institution. Our experience shows that inquiry-based hands-on exercises provide the most efficient approach to bioinformatic straining. In this article, we report a structural bioinformatics project carried out by Master…
Descriptors: Molecular Biology, Information Science, College Science, Inquiry
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Lockwood, Elise; Wasserman, Nicholas H.; McGuffey, William – International Journal of Research in Undergraduate Mathematics Education, 2018
In this paper we report on a survey designed to test whether or not students differentiated between two different types of problems involving combinations--problems in which combinations are used to count unordered sets of distinct objects (a natural, common way to use combinations), and problems in which combinations are used to count ordered…
Descriptors: Undergraduate Students, College Mathematics, Mathematics Instruction, Mathematics Skills
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Desombre, Caroline; Anegmar, Souad; Delelis, Gérald – European Journal of Psychology of Education, 2018
This study investigated the hypothesis that cognitive performance of students with physical disabilities may be influenced by the evaluators' identity. Students with or without a physical disability completed a logic test and were informed that they would be evaluated by students from their own group (ingroup condition) or from an other group…
Descriptors: Stereotypes, Hypothesis Testing, Cognitive Ability, Physical Disabilities
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Donohue, Meghan Rose; Williamson, Rebecca A.; Tully, Erin C. – International Journal of Behavioral Development, 2020
Prosocial behavior is a highly heterogeneous construct, and young children use distinct prosocial actions in response to differing emotional needs of another person. This study examined whether toddlers' prosocial responses differed in response to two understudied emotional contexts--whether or not children caused a victim's distress and the…
Descriptors: Toddlers, Prosocial Behavior, Psychological Needs, Emotional Disturbances
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Pérez, Jorge; Vizcarro, Carmen; García, Javier; Bermúdez, Aurelio; Cobos, Ruth – IEEE Transactions on Education, 2017
In the context of higher education, a competence may be understood as the combination of skills, knowledge, attitudes, values, and abilities that underpin effective and/or superior performance in a professional area. The aim of the work reported here was to design a set of procedures to assess a transferable competence, i.e., problem solving, that…
Descriptors: Problem Solving, Computer Science Education, Minimum Competency Testing, Competency Based Education
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Gorbunova, Tatiana N. – European Journal of Contemporary Education, 2017
The subject of the research is to build methodologies to evaluate the student knowledge by testing. The author points to the importance of feedback about the mastering level in the learning process. Testing is considered as a tool. The object of the study is to create the test system models for defence practice problems. Special attention is paid…
Descriptors: Testing, Evaluation Methods, Feedback (Response), Simulation
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