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Matusevych, Yevgen; Schatz, Thomas; Kamper, Herman; Feldman, Naomi H.; Goldwater, Sharon – Cognitive Science, 2023
In the first year of life, infants' speech perception becomes attuned to the sounds of their native language. This process of early phonetic learning has traditionally been framed as phonetic category acquisition. However, recent studies have hypothesized that the attunement may instead reflect a perceptual space learning process that does not…
Descriptors: Infants, Phonetics, Language Acquisition, Speech Communication
Tanaka, Mitsuko – Innovation in Language Learning and Teaching, 2023
Self-construal refers to the process by which individuals define the self in relation to others. It underpins cognition, motivation, and social behavior. While the importance of the self is well acknowledged in the field of second language (L2) learning motivation, how self-construal is associated with L2 learning motivation in project-based…
Descriptors: Student Motivation, Gender Differences, Student Projects, Active Learning
Chen, Xuemei; Hartsuiker, Robert J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Arai et al. (2007) showed that structural priming in the comprehension of English dative sentences only occurred when the verb was repeated between prime and target, suggesting a lexically-dependent mechanism of structure prediction. However, a recent study in Mandarin comprehension found abstract (verb-independent) structural priming and such…
Descriptors: Indo European Languages, Reading Comprehension, Priming, Prediction
Reyes, Betty; Jiménez-Hernández, David; Martínez-Gregorio, Sara; De los Santos, Saturnino; Galiana, Laura; Tomás, José M. – Psychology in the Schools, 2023
School or academic achievement is a relevant topic of study, as it is evidence of the learning achieved by the student. This study aims to explore a model explaining academic achievement while testing the mediator role of learning strategies, study habits and study attitudes. Research design was correlational. 1712 Dominican students from 12 to 20…
Descriptors: Prediction, Academic Achievement, Learning Strategies, Study Habits
Kaplan, David; Chen, Jianshen; Lyu, Weicong; Yavuz, Sinan – Large-scale Assessments in Education, 2023
The purpose of this paper is to extend and evaluate methods of "Bayesian historical borrowing" applied to longitudinal data with a focus on parameter recovery and predictive performance. Bayesian historical borrowing allows researchers to utilize information from previous data sources and to adjust the extent of borrowing based on the…
Descriptors: Bayesian Statistics, Longitudinal Studies, Children, Surveys
Buggé, Danielle; Rutberg, Joshua; Ahmed, Sheehan H.; Zisk, Robert; Jammula, Diane – Physics Education, 2023
The Investigative Science Learning Environment (ISLE) approach to learning and teaching holds as one of its core tenets that students should learn physics by engaging in the same processes through which physicists develop new knowledge. One key skill necessary for this is hypothetico-deductive reasoning. In this study, we explored how the…
Descriptors: Science Instruction, Science Process Skills, Logical Thinking, Thinking Skills
Bruckermann, Till; Greving, Hannah; Schumann, Anke; Stillfried, Milena; Börner, Konstantin; Kimmig, Sophia E.; Hagen, Robert; Brandt, Miriam; Harms, Ute – Journal of Research in Science Teaching, 2023
In citizen science (CS) projects, citizens who are not professional scientists participate in scientific research. Besides serving research purposes, CS projects provide participants opportunities for inquiry-based learning to promote their topic-specific knowledge and scientific reasoning skills. Previous research suggests that participants need…
Descriptors: Science Process Skills, Citizen Participation, Scientific Research, Science Projects
Xu, Xiaoqiu; Dugdale, Deborah M.; Wei, Xin; Mi, Wenjuan – American Journal of Distance Education, 2023
The recent surge of online language learning services in the past decade has benefitted second language learners. However, there is a lack of understanding of whether learners, especially young learners, are engaged in online learning, and how educators can enhance the engagement of the online learning experience. This study examines an artificial…
Descriptors: Artificial Intelligence, Prediction, Electronic Learning, Learner Engagement
Rabideau, M.; Starnes, A. – PRIMUS, 2023
In this paper, we study how well SAT scores, high school GPA, and undergraduate precalculus grades relate to undergraduate calculus grades at a 4-year private nonprofit university that does not have a placement exam. In addition, we compare the success in calculus of two groups of students, both of whom require two semesters to pass calculus. The…
Descriptors: Predictor Variables, College Entrance Examinations, Grade Point Average, High Schools
Mayer, Christian W. F.; Ludwig, Sabrina; Brandt, Steffen – Journal of Research on Technology in Education, 2023
This study investigates the potential of automated classification using prompt-based learning approaches with transformer models (large language models trained in an unsupervised manner) for a domain-specific classification task. Prompt-based learning with zero or few shots has the potential to (1) make use of artificial intelligence without…
Descriptors: Prompting, Classification, Artificial Intelligence, Natural Language Processing
Jacob, Priscilla; Alexander, Gerianne – Journal of Autism and Developmental Disorders, 2023
The present study explored the relationship between biological motion (BioM) processing, motor skills, and autistic traits within a non-clinical sample of 621 adults (18-73 years, 51.8% female). Results indicated that adults with greater autistic traits also endorsed difficulties associated with developmental coordination disorder (DCD) in…
Descriptors: Autism Spectrum Disorders, Sensory Integration, Adults, Symptoms (Individual Disorders)
Murad, Dina Fitria; Murad, Silvia Ayunda; Irsan, Muhamad – Journal of Educators Online, 2023
This study discusses the use of an online learning recommendation system as a smart solution related to changing the face-to-face learning process to online. This study uses user-based collaborative filtering, item-based collaborative filtering, and hybrid collaborative filtering. This research was conducted in two stages using the KNN machine…
Descriptors: Online Courses, Grades (Scholastic), Prediction, Context Effect
Botelho, Anthony; Baral, Sami; Erickson, John A.; Benachamardi, Priyanka; Heffernan, Neil T. – Journal of Computer Assisted Learning, 2023
Background: Teachers often rely on the use of open-ended questions to assess students' conceptual understanding of assigned content. Particularly in the context of mathematics; teachers use these types of questions to gain insight into the processes and strategies adopted by students in solving mathematical problems beyond what is possible through…
Descriptors: Natural Language Processing, Artificial Intelligence, Computer Assisted Testing, Mathematics Tests
Abdu, Rotem; Slakmon, Benzi – Computers in the Schools, 2023
Computer simulations are considered efficient in supporting exploratory learning. This paper highlights instruction challenges and undesirable consequences on student learning in exploratory learning with computer simulations in classroom situations. A classroom with students who explore using simulations contains ideas explicated on several…
Descriptors: Observation, Cooperative Learning, Computer Simulation, Mathematics Education
Goldberg, Molly J.; Lloyd, Dalhia D.; Syed, Gullnar; Welch, Greg W.; Curenton, Stephanie M. – Early Education and Development, 2023
Research Findings: Despite widespread calls to advance equity in early childhood classrooms, there are few observational measures of equitable classroom processes that can be used for academic research or professional development for teachers. In this study, we investigate the psychometric properties of an observational measure of equitable…
Descriptors: Sociocultural Patterns, Early Childhood Education, Race, Learning Activities

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