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Sezer Kanbul; Idris Adamu; Yakubu Bala Mohammed – SAGE Open, 2024
This article presents a research investigation focusing on the effects of ChatGPT utilization on sustainable education and development. The study employed five machine learning (XGBoost, RF, SVM, GBDT, and ANN) models for predicting the impacts of ChatGPT usage in education, aiming at identifying the potential benefits of ChatGPT usage on…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Sustainable Development
Balqis Albreiki; Tetiana Habuza; Nishi Palakkal; Nazar Zaki – Education and Information Technologies, 2024
The nature of education has been transformed by technological advances and online learning platforms, providing educational institutions with more options than ever to thrive in a complex and competitive environment. However, they still face challenges such as academic underachievement, graduation delays, and student dropouts. Fortunately, by…
Descriptors: Multivariate Analysis, Graphs, Identification, At Risk Students
Erdin Mujezinovic; Vsevolod Kapatsinski; Ruben van de Vijver – Cognitive Science, 2024
A word often expresses many different morphological functions. Which part of a word contributes to which part of the overall meaning is not always clear, which raises the question as to how such functions are learned. While linguistic studies tacitly assume the co-occurrence of cues and outcomes to suffice in learning these functions (Baer-Henney,…
Descriptors: Morphology (Languages), Phonology, Morphemes, Cues
I Remembered the Chorm! Word Learning Abilities of Children with and without Phonological Impairment
Stephanie Hearnshaw; Elise Baker; Ron Pomper; Karla K. McGregor; Jan Edwards; Natalie Munro – International Journal of Language & Communication Disorders, 2024
Background: Children with phonological impairment present with pattern-based errors in their speech production. While some children have difficulties with speech perception and/or the establishment of robust underlying phonological representations, the nature of phonological impairment in children is still not well understood. Given that…
Descriptors: Phonology, Vocabulary Development, Speech Communication, Auditory Perception
Hyemin Yoon; HyunJin Kim; Sangjin Kim – Measurement: Interdisciplinary Research and Perspectives, 2024
We have maintained the customer grade system that is being implemented to customers with excellent performance through customer segmentation for years. Currently, financial institutions that operate the customer grade system provide similar services based on the score calculation criteria, but the score calculation criteria vary from the financial…
Descriptors: Classification, Artificial Intelligence, Prediction, Decision Making
Ridvan Ata; Muhammet Mustafa Alpaslan – International Journal of Information and Learning Technology, 2024
Purpose: The aim of this study was to shed some light on the extent to which digital literacy, epistemological belief and reading motivation and engagement predict pre-service teachers' capabilities in teaching 21st century skills. Design/methodology/approach: 21st Century Skills Teaching Scale, Internet based Epistemological Beliefs Scale,…
Descriptors: Digital Literacy, Epistemology, Beliefs, Reading Motivation
Thomas Mgonja; Francisco Robles – Journal of College Student Retention: Research, Theory & Practice, 2024
Completion of remedial mathematics has been identified as one of the keys to college success. However, completion rates in remedial mathematics have been low and are of much debate across America. This study leverages machine learning techniques in trying to predict and understand completion rates in remedial mathematics. The purpose of this study…
Descriptors: Predictor Variables, Remedial Mathematics, Mathematics Achievement, Graduation Rate
Aswani Yaramala; Soheila Farokhi; Hamid Karimi – International Educational Data Mining Society, 2024
This paper presents an in-depth analysis of student behavior and score prediction in the ASSISTments online learning platform. We address four research questions related to the impact of tutoring materials, skill mastery, feature extraction, and graph representation learning. To investigate the impact of tutoring materials, we analyze the…
Descriptors: Student Behavior, Scores, Prediction, Electronic Learning
Jiayi Zhang; Conrad Borchers; Vincent Aleven; Ryan S. Baker – International Educational Data Mining Society, 2024
Think-aloud protocols are a common method to study self-regulated learning (SRL) during learning by problem-solving. Previous studies have manually transcribed and coded students' verbalizations, labeling the presence or absence of SRL strategies and then examined these SRL codes in relation to learning. However, the coding process is difficult to…
Descriptors: Artificial Intelligence, Technology Uses in Education, Protocol Analysis, Self Management
Davis-Kean, Pamela E.; Domina, Thurston; Kuhfeld, Megan; Ellis, Alexa; Gershoff, Elizabeth T. – Infant and Child Development, 2022
Using data from the Applied Problems subtest of the Woodcock-Johnson Tests of Achievement (Woodcock & Johnson, 1989/1990, "Woodcock-Johnson psycho-educational battery-revised. Allen, TX: DLM Teaching Resources") administered to 1,364 children from the National Institute of Child Health and Human Development (NICHD) Study of Early…
Descriptors: Early Experience, Numeracy, Prediction, Secondary School Mathematics
Löhr, Guido; Michel, Christian – Cognitive Science, 2022
We propose a cognitive-psychological model of linguistic intuitions about copredication statements. In copredication statements, like "The book is heavy and informative," the nominal denotes two ontologically distinct entities at the same time. This has been considered a problem for standard truth-conditional semantics. In this paper, we…
Descriptors: Cognitive Processes, Intuition, Decision Making, Ethics
Alemdar, Melek; Aytaç, Alper – Journal of Pedagogical Research, 2022
In this study, the effect of teachers' educational philosophy tendencies on their curriculum autonomy was investigated using a correlational research design. The study's population consisted of teachers 258 teachers drawn from various schools using a simple random sampling method. The data were collected through Educational Philosophy Tendency…
Descriptors: Educational Philosophy, Professional Autonomy, Teacher Attitudes, Progressive Education
Pallotti, Gabriele – Second Language Research, 2022
Complex Dynamic Systems Theory (CDST) has received considerable attention over the last decades, inspiring a number of second language acquisition studies. This article examines the research from a critical epistemological point of view, starting from the Greek philosopher Cratylus, who concluded that remaining silent is the only way to be…
Descriptors: Systems Approach, Second Language Learning, Linguistic Theory, Epistemology
Belias, Michail; Rovers, Maroeska M.; Hoogland, Jeroen; Reitsma, Johannes B.; Debray, Thomas P. A.; IntHout, Joanna – Research Synthesis Methods, 2022
One of the main goals of an individual participant data meta-analysis (IPD-MA) of intervention studies is to investigate whether treatment effect differences are present, and how they are associated with patient characteristics. Examining treatment heterogeneity due to a continuous covariable (e.g., BMI or age) may be challenging, since there is…
Descriptors: Meta Analysis, Outcomes of Treatment, Prediction, Multivariate Analysis
Ceh, Simon Majed; Edelmann, Carina; Hofer, Gabriela; Benedek, Mathias – Journal of Creative Behavior, 2022
Creativity research crucially relies on creativity evaluations by external raters, but it is not clear what properties characterize good raters. In the present study, we investigated whether rater personality and rater creativity are related to discernment (i.e., the ability to distinguish creative from uncreative responses) when evaluating…
Descriptors: Novices, Evaluators, Creativity, Personality Traits

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