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Neumuller, Seth – Journal of Economic Education, 2023
The author of this article demonstrates how the unified approach to answering economic questions employed in modern quantitative macroeconomics research can be taught to undergraduate students using the Solow model. Through an application to post-WWII Japan, students get hands-on experience with (1) documenting empirical facts, (2) developing a…
Descriptors: Macroeconomics, Undergraduate Students, Prediction, Teaching Methods
Mason, Terrell – ProQuest LLC, 2023
Using the Learning Analytics in Higher Education model (Lester et al., 2017) as a framework and qualitative methods (Merriam & Tisdale, 2016), I explored advising administrators' perspectives relating to predictive analytics (PA) and underrepresented minority (URM) students, specifically their thoughts on how they perceive PA on their…
Descriptors: Academic Advising, Leaders, Administrator Attitudes, Prediction
Kaltefleiter, Larissa J.; Schuwerk, Tobias; Wiesmann, Charlotte Grosse; Kristen-Antonow, Susanne; Jarvers, Irina; Sodian, Beate – Developmental Science, 2022
Unsuccessful replication attempts of paradigms assessing children's implicit tracking of false beliefs have instigated the debate on whether or not children have an implicit understanding of false beliefs before the age of four. A novel multi-trial anticipatory looking false belief paradigm yielded evidence of implicit false belief reasoning in 3-…
Descriptors: Beliefs, Preschool Children, Cognitive Processes, Thinking Skills
Whitely, Aleesha; Shandley, Kerrie; Huynh, Minh; Brown, Christine M.; Austin, David W.; Bhowmik, Jahar – Journal of Autism and Developmental Disorders, 2022
A succession of interconnected environmental factors is believed to contribute substantially to the development of autism spectrum disorder (ASD). This exploratory study therefore aims to identify potential risk factors for ASD that are associated with pregnancy, birth and infant feeding. Demographic and health-related data on children aged…
Descriptors: Pregnancy, Birth, Infants, Nutrition
Mulligan, Neil W.; Susser, Jonathan A.; Horschler, Daniel J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Actions can enhance memory, exemplified by the enactment effect. In a typical experiment, participants hear a series of simple action phrases (e.g., "bounce the ball"), which they either carry out (subject-performed tasks, or SPTs), watch the experimenter carry out (experimenter-performed tasks, EPTs), or simply listen to (verbal tasks,…
Descriptors: Memory, Metacognition, Prediction, Interaction
Tanida, Yuki; Saito, Satoru – Cognitive Science, 2022
We analyzed a Japanese lexical database to investigate the structure of the lexical environment based on the hypothesis that the lexical environment is optimized for the functioning of verbal working memory. Our prediction was that, as a consequence of the cultural transmission of language, low-imageable meanings tend to be represented by frequent…
Descriptors: Prediction, Short Term Memory, Foreign Countries, Phonology
Lincoln, Don – Physics Teacher, 2022
The standard model of particle physics is the most successful theory describing the behavior of matter and energy in the subatomic realm. However, success doesn't mean it is perfect, and a recent measurement of the mass of a particle called the W boson is puzzling, as it disagrees with theoretical predictions and earlier precise measurements. If…
Descriptors: Physics, Models, Nuclear Energy, Measurement
Peter Z. Schochet – Journal of Educational and Behavioral Statistics, 2025
Random encouragement designs evaluate treatments that aim to increase participation in a program or activity. These randomized controlled trials (RCTs) can also assess the mediated effects of participation itself on longer term outcomes using a complier average causal effect (CACE) estimation framework. This article considers power analysis…
Descriptors: Statistical Analysis, Computation, Causal Models, Research Design
Gisu Sanem Öztas; Gökhan Akçapinar – Educational Technology & Society, 2025
This study aimed to develop a prediction model to classify students based on their academic procrastination tendencies, which were measured and classified as low and high using a self-report tool developed based on the students' assignment submission behaviours logged in the learning management system's database. The students' temporal learning…
Descriptors: Time Management, Student Behavior, Online Courses, Learning Management Systems
Harikesh Singh; Li-Minn Ang; Dipak Paudyal; Mauricio Acuna; Prashant Kumar Srivastava; Sanjeev Kumar Srivastava – Technology, Knowledge and Learning, 2025
Wildfires pose significant environmental threats in Australia, impacting ecosystems, human lives, and property. This review article provides a comprehensive analysis of various empirical and dynamic wildfire simulators alongside machine learning (ML) techniques employed for wildfire prediction in Australia. The study examines the effectiveness of…
Descriptors: Artificial Intelligence, Computer Software, Computer Simulation, Prediction
Elise Kokenge; Laura B. Holyoke; Krista M. Soria; Leda Kobziar; Steven B. Daley-Laursen – Natural Sciences Education, 2025
Understanding attrition risks specific to online student populations is crucial for the long-term success of online programs. Online programs allow place-based working professionals access to education needed for professional development and career advancement. This study was conducted to determine if educational preparation, student…
Descriptors: Online Courses, Student Attrition, Environmental Education, Science Education
Amanallah Soltani; Deborah J. Fidler; Lina Patel; Kellie Voth; Anna J. Esbensen – American Journal on Intellectual and Developmental Disabilities, 2025
This study explored how caregiver-reported executive functioning domains, assessed by the BRIEF2 at baseline, predicted behavioral challenges reported by caregivers using the CBCL six months later. The sample included 94 youth with Down syndrome, aged 6 to 18 years. Results of hierarchical regression analyses revealed that, after controlling for…
Descriptors: Youth, Children, Adolescents, Down Syndrome
Félix González-Carrasco; Felipe Espinosa Parra; Izaskun Álvarez-Aguado; Sebastián Ponce Olguín; Vanessa Vega Córdova; Miguel Roselló-Peñaloza – British Journal of Learning Disabilities, 2025
Background: The study focuses on the need to optimise assessment scales for support needs in individuals with intellectual and developmental disabilities. Current scales are often lengthy and redundant, leading to exhaustion and response burden. The goal is to use machine learning techniques, specifically item-reduction methods and selection…
Descriptors: Artificial Intelligence, Intellectual Disability, Developmental Disabilities, Individual Needs
Seth Elkin-Frankston; James McIntyre; Tad T. Brunyé; Aaron L. Gardony; Clifford L. Hancock; Meghan P. O'Donovan; Victoria G. Bode; Eric L. Miller – Cognitive Research: Principles and Implications, 2025
Existing toolkits for analyzing movement dynamics in animal ecology primarily focus on individual or group behavior in habitats without predefined boundaries, while methods for studying human activity often cater to bounded environments, such as team sports played on defined fields. This leaves a gap in tools for modeling and analyzing human group…
Descriptors: Group Dynamics, Military Personnel, Measures (Individuals), Computer Software
Chengchen Li; Miroslaw Pawlak; Mariusz Kruk – Journal of Multilingual and Multicultural Development, 2025
The study intended to describe profiles of three achievement emotions (enjoyment, boredom, anxiety), their associations with each other and with control-value appraisals within the framework of the control-value theory. A total of 2002 Chinese university EFL students from 11 universities in China participated in the questionnaire survey.…
Descriptors: Psychological Patterns, Theories, Achievement, Emotional Response

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