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Powell, Cynthia B.; Simpson, Joseph; Williamson, Vickie M.; Dubrovskiy, Anton; Walker, Deborah Rush; Jang, Ben; Shelton, G. Robert; Mason, Diana – Chemistry Education Research and Practice, 2020
Completion of a first-semester chemistry (Chem I) course lays the foundation for understanding second-semester chemistry (Chem II) topics. The purpose of this study is to evaluate the influence of basic arithmetic skills on students' Chem II success in understanding mathematics-grounded concepts (e.g., solutions and aqueous reactions, kinetics,…
Descriptors: Arithmetic, Mathematics Skills, Science Achievement, Chemistry
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Korchi, Adil; Dardor, Mohamed; Mabrouk, El Houssine – Education and Information Technologies, 2020
Learning techniques have proven their capacity to treat large amount of data. Most statistical learning approaches use specific size learning sets and create static models. Withal, in certain some situations such as incremental or active learning the learning process can work with only a smal amount of data. In this case, the search for algorithms…
Descriptors: Learning Analytics, Data, Computation, Mathematics
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Walmsley, Stephen; Gilbey, Andrew – Applied Cognitive Psychology, 2020
One of the key findings of prospect theory is that people tend to treat potential gains differently to potential losses. Consistent with earlier findings across a range of areas, pilots were risk averse when faced with an uncertain situation involving monetary gains and risk seeking when faced with a monetary loss. Prospect theory has largely been…
Descriptors: Decision Making, Risk, Weather, Air Transportation
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Silverstein, Todd P. – Biochemistry and Molecular Biology Education, 2020
The Hill equation, which models the cooperative ligand-receptor binding equilibrium, turns out to be useful in modeling the progression of infectious disease outbreaks such as CoViD-19. The equation fits well the data for total and daily case numbers, allows tentative predictions for the half-point and end point of the epidemic, and presents a…
Descriptors: COVID-19, Kinetics, Biochemistry, Molecular Structure
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Richard, Céline; Neel, Mary Lauren; Jeanvoine, Arnaud; Mc Connell, Sharon; Gehred, Alison; Maitre, Nathalie L. – Journal of Speech, Language, and Hearing Research, 2020
Purpose: We sought to critically analyze and evaluate published evidence regarding feasibility and clinical potential for predicting neurodevelopmental outcomes of the frequency-following responses (FFRs) to speech recordings in neonates (birth to 28 days). Method: A systematic search of MeSH terms in the Cumulative Index to Nursing and Allied…
Descriptors: Neonates, Prediction, Responses, Child Development
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Johnson, Tamar; Siegelman, Noam; Arnon, Inbal – Cognitive Science, 2020
Over the last decade, iterated learning studies have provided compelling evidence for the claim that linguistic structure can emerge from non-structured input, through the process of transmission. However, it is unclear whether individuals differ in their tendency to add structure, an issue with implications for understanding who are the agents of…
Descriptors: Individual Differences, Cognitive Ability, Learning Processes, Language Acquisition
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Kieu, Thinh; Luu, Phong; Yoon, Noah – Teaching Statistics: An International Journal for Teachers, 2020
College-level statistics courses emphasize the use of the coefficient of determination, R-squared, in evaluating a linear regression model: higher R-squared is better. This often gives students an impression that higher R-squared implies better predictability since textbooks tend to use sample data to support the theory and students rarely have an…
Descriptors: College Students, Statistics, Regression (Statistics), Investment
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Azzi, Ibtissam; Jeghal, Adil; Radouane, Abdelhay; Yahyaouy, Ali; Tairi, Hamid – Education and Information Technologies, 2020
In E-Learning Systems, the automatic detection of the learners' learning styles provides a concrete way for instructors to personalize the learning to be made available to learners. The classification techniques are the most used techniques to automatically detect the learning styles by processing data coming from learner interactions with the…
Descriptors: Classification, Prediction, Identification, Cognitive Style
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Frodyma, Marc – Physics Teacher, 2020
Students have difficulty bridging the conceptual gap between Newtonian and relativistic physics, and, consequently, the teaching of special relativity has been discussed extensively in the literature. A comprehensive list of such references is too large to include, but a brief list is given. In this paper, the author presents several exercises,…
Descriptors: Physics, Scientific Concepts, Science Process Skills, Prediction
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Doleck, Tenzin; Lemay, David John; Basnet, Ram B.; Bazelais, Paul – Education and Information Technologies, 2020
Large swaths of data are readily available in various fields, and education is no exception. In tandem, the impetus to derive meaningful insights from data gains urgency. Recent advances in deep learning, particularly in the area of voice and image recognition and so-called complete knowledge games like chess, go, and StarCraft, have resulted in a…
Descriptors: Learning Analytics, Prediction, Information Retrieval, Accuracy
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Gongchang, Yueban; Wang, Yibing – AERA Online Paper Repository, 2020
Location tracking devices are becoming increasingly popular in practice to study movement of customers or track inventory. However, using location tracking devices in education contexts is quite novel. In this paper, we present a robust Bayesian nonparametric mixture model that clusters location data. We successfully apply this model on location…
Descriptors: Bayesian Statistics, Nonparametric Statistics, Multivariate Analysis, Interaction
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Shakya, Anup; Rus, Vasile; Venugopal, Deepak – International Educational Data Mining Society, 2023
Understanding a student's problem-solving strategy can have a significant impact on effective math learning using Intelligent Tutoring Systems (ITSs) and Adaptive Instructional Systems (AISs). For instance, the ITS/AIS can better personalize itself to correct specific misconceptions that are indicated by incorrect strategies, specific problems can…
Descriptors: Equal Education, Mathematics Education, Word Problems (Mathematics), Problem Solving
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Nurudeen, Mohammed; Abdul-Samad, Siddique; Owusu-Oware, Emmanuel; Koi-Akrofi, Godfred Yaw; Tanye, Hannah Ayaba – Education and Information Technologies, 2023
With the advent of smartphones and fourth generation mobile technologies, the effect of social media on society has stirred up some debate and researchers across various disciplines have drawn different conclusions. Social media provides university students with a convenient platform to create and share educational content. However, social media…
Descriptors: Social Media, Grade Point Average, Academic Achievement, Prediction
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Christopulos, Tyler T.; Redmond, Sean M. – Language, Speech, and Hearing Services in Schools, 2023
Purpose: Researchers estimate the prevalence of developmental language disorder (DLD) in 5-year-olds to be between 7% and 12%. Current identification systems in public schools typically favor referral identification formats over targeted or universal screenings. Public schools face unique challenges when assessing the value of screening measures…
Descriptors: Language Impairments, Screening Tests, Sentences, Recall (Psychology)
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Prinz-Weiß, Anja; Lukosiute, Laura; Meyer, Mona; Riedel, Janina – Metacognition and Learning, 2023
When learning from text, it is important that learners not only comprehend the information but also accurately monitor and judge their comprehension, known as metacomprehension accuracy. We investigated the extent to which the achievement emotions high school students (N = 358) experienced during reading influenced their text comprehension,…
Descriptors: High School Students, Academic Achievement, Emotional Response, Psychological Patterns
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