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Meng, Lingling; Zhang, Mingxin; Zhang, Wanxue; Chu, Yu – Interactive Learning Environments, 2021
Bayesian knowledge tracing model (BKT) is a typical student knowledge assessment method. It is widely used in intelligent tutoring systems. In the standard BKT model, all knowledge and skills are independent of each other. However, in the process of student learning, they have a very close relation. A student may understand knowledge B better when…
Descriptors: Bayesian Statistics, Intelligent Tutoring Systems, Student Evaluation, Knowledge Level
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Karatas, Kasim; Arpaci, Ibrahim – Contemporary Educational Technology, 2021
This study investigated role of the self-directed learning skills, metacognitive awareness, and 21st century skills and competences in predicting readiness for online learning during the COVID-19 pandemic. 21st Century Skills and Competences Scale, Self-Directed Learning Skills Scale, Metacognitive Awareness Inventory, and Readiness for Online…
Descriptors: Independent Study, Metacognition, 21st Century Skills, Prediction
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Tatsumi, Tomoko; Chang, Franklin; Pine, Julian M. – First Language, 2021
The acquisition of verb morphology is often studied using categorical criteria for determining the productivity of a morpheme. Applying this approach to Japanese, an agglutinative language, this study finds no consistent order for morpheme acquisition and that productivity could be explained by sampling effects. To examine morpheme acquisition…
Descriptors: Verbs, Japanese, Language Acquisition, Morphemes
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Johnson, Detra D. – Journal of Education Human Resources, 2021
The purpose of this research was to examine how teachers' level of engagement might predict their likelihood of leaving their current positions. This study used cross-sectional survey data gathered on 188 elementary school teachers. A multiple mediation model was used to examine the effects of organizational (individual-level climate,…
Descriptors: Prediction, Faculty Mobility, Teacher Transfer, Intention
Oslington, Gabrielle Ruth; Mulligan, Joanne; Van Bergen, Penny – Mathematics Education Research Group of Australasia, 2021
This longitudinal study aimed to determine changes in students' predictive reasoning across one year. Forty-four Australian students predicted future temperatures from a table of maximum monthly temperatures, explained their predictive strategies, and represented the data at two time points: Grade 3 and 4. Responses were analysed using a…
Descriptors: Foreign Countries, Thinking Skills, Prediction, Grade 3
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Rungsilp, Chutimon; Piromsopa, Krerk; Viriyopase, Atthaphon; U-Yen, Kongpop – International Association for Development of the Information Society, 2021
The study of mind-wandering is popular since it is linked to the emotional problems and working/learning performance. In terms of education, it impacts comprehension during learning which affects academic success. Therefore, we sought to develop a machine learning model for an embedded portable device that can categorize mind-wandering state to…
Descriptors: Brain Hemisphere Functions, Diagnostic Tests, Artificial Intelligence, Cognitive Processes
Ciochina, Ludmila – ProQuest LLC, 2021
Language is a quintessentially human trait. Many decades of neurolinguistic research provided evidence of neural structures which specialize in complex linguistic and cognitive processes supporting human communications. Because the world is multilingual, (Crystal, 2010; de Bot, 2019) a prominent question related to brain processes supporting…
Descriptors: Language Usage, Multilingualism, Neurolinguistics, Cognitive Processes
Emerson, Andrew John – ProQuest LLC, 2021
A distinctive feature of game-based learning environments is their capacity to create learning experiences that are both effective and engaging. Recent advances in sensor technologies (e.g., facial expression analysis and gaze tracking) and natural language processing have introduced the opportunity to leverage multimodal data streams for learning…
Descriptors: Learning Analytics, Prediction, Game Based Learning, Student Behavior
Chad J. Coleman – ProQuest LLC, 2021
Determining which students are at-risk of poorer outcomes -- such as dropping out, failing classes, or decreasing standardized examination scores -- has become an important area of both research and practice in K-12 education. The models produced from this type of predictive modeling research are increasingly used by high schools in Early Warning…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Elementary Secondary Education
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Richard J. Daker; Sylvia U. Gattas; H. Moriah Sokolowski; Adam E. Green; Ian M. Lyons – npj Science of Learning, 2021
Math anxiety is widely considered a potential barrier to success in STEM. Current thinking holds that math anxiety is directly linked to avoidance of and underperformance in STEM domains. However, past evidence supporting these claims is limited in important ways. Perhaps most crucially, it is possible that math anxiety predicts STEM outcomes…
Descriptors: STEM Education, College Freshmen, Mathematics Anxiety, Prediction
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Rajan S. Hayre; Carlos Sierra Hernandez; Natalie Goulter; Marlene M. Moretti – Child & Youth Care Forum, 2024
Background: Research has demonstrated that parent-child attachment security and school connectedness (SC) are protective factors against substance use, depression, and suicidality during adolescence. However, past research has examined these factors independently, and little is known about how attachment security and SC work in conjunction to…
Descriptors: Attachment Behavior, Student School Relationship, Substance Abuse, Parent Child Relationship
Mitali Thatte; Katie Makar – Mathematics Education Research Group of Australasia, 2024
This study was conducted in Maharashtra, India with children studying in a regional medium (Marathi) government school. In Marathi, the translation of the word 'about' is not very commonly used. The aim of the study was to see how the children used uncertain language about prediction while engaged in a statistical investigation and how children…
Descriptors: Mathematics Instruction, Teaching Methods, Native Language, Language of Instruction
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Shixu Yan; Zhiyi Liu; Peng Peng; Ni Yan – Educational Psychology Review, 2024
Externalizing behavior and low academic performance present key developmental challenges for school-age children, with the potential for these domains to predict each other over time, leading to worsened outcomes. Yet, previous studies have yielded inconsistent conclusions about the directional pathways between externalizing behaviors and academic…
Descriptors: Child Behavior, Academic Achievement, Attention Control, Behavior Problems
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Frida Bertilsson; Tova Stenlund; Anna Sundström; Bert Jonsson – European Journal of Psychology of Education, 2024
Retrieval practice is a learning strategy that has repeatedly been found to have positive effects on memory and learning. However, studies indicate that students rarely use retrieval practice on a voluntary basis. The objective of the present study was to examine students' self-regulated use of retrieval practice, and to determine whether sex and…
Descriptors: Metacognition, Learning Strategies, Gender Differences, Individual Differences
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Shu-Ling Wu; Takako Nunome; Jun Wang – Second Language Research, 2024
As Chinese shows both satellite- and verb-framed properties (Slobin, 2004; Talmy, 2012, 2016), it provides a unique lens through which to observe the extent of first-language (L1) typological influence in second language (L2) acquisition of motion expressions. This study has dual purposes. First, it extends Wu's (2016) investigation on motion…
Descriptors: Contrastive Linguistics, Second Language Learning, Second Language Instruction, Native Language
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