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Hansol Lee; Jang Ho Lee – Language Learning & Technology, 2024
Artificial intelligence (AI) has considerably advanced the methods for individualizing language learning opportunities, such as assessing learning progress and recommending effective individual instruction. In the present study, we conducted a meta-analysis to synthesize recent empirical findings pertaining to the utilization of AI-guided language…
Descriptors: Artificial Intelligence, Teaching Methods, Learning Processes, Computer Software
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Andrew Schenck – Journal of Second Language Acquisition and Teaching, 2024
Form-Focused Instruction (FFI) has been extensively studied, yet past experimental results are often inconsistent or even contradictory. Overly simplistic examinations of grammatical complexity and learner characteristics (e.g., L2 English proficiency) may have fueled the confusion, limiting understanding of how different FFI techniques can be…
Descriptors: Grammar, Teaching Methods, Second Language Learning, Second Language Instruction
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Polanin, Joshua R.; Pigott, Terri D.; Espelage, Dorothy L.; Grotpeter, Jennifer K. – Research Synthesis Methods, 2019
Abstract screening is one important aspect of conducting a high-quality and comprehensive systematic review and meta-analysis. Abstract screening allows the review team to conduct the tedious but vital first step to synthesize the extant literature: winnowing down the overwhelming amalgamation of citations discovered through research databases to…
Descriptors: Meta Analysis, Citations (References), Documentation, Databases
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Tipton, Elizabeth; Pustejovsky, James E.; Ahmadi, Hedyeh – Research Synthesis Methods, 2019
At the beginning of the development of meta-analysis, understanding the role of moderators was given the highest priority, with meta-regression provided as a method for achieving this goal. Yet in current practice, meta-regression is not as commonly used as anticipated. This paper seeks to understand this mismatch by reviewing the history of…
Descriptors: Meta Analysis, Regression (Statistics), Research Methodology, Educational History
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Park, Sunyoung; Beretvas, S. Natasha – Journal of Experimental Education, 2019
The log-odds ratio (ln[OR]) is commonly used to quantify treatments' effects on dichotomous outcomes and then pooled across studies using inverse-variance (1/v) weights. Calculation of the ln[OR]'s variance requires four cell frequencies for two groups crossed with values for dichotomous outcomes. While primary studies report the total sample size…
Descriptors: Sample Size, Meta Analysis, Statistical Analysis, Efficiency
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Rabagliati, Hugh; Ferguson, Brock; Lew-Williams, Casey – Developmental Science, 2019
Everyone agrees that infants possess general mechanisms for learning about the world, but the existence and operation of more specialized mechanisms is controversial. One mechanism--rule learning--has been proposed as potentially specific to speech, based on findings that 7-month-olds can learn abstract repetition rules from spoken syllables (e.g.…
Descriptors: Meta Analysis, Evidence, Infants, Stimuli
Polanin, Joshua R.; Pigott, Terri D.; Espelage, Dorothy L.; Grotpeter, Jennifer K. – Grantee Submission, 2019
Abstract screening is one important aspect of conducting a high-quality and comprehensive systematic review and meta-analysis. Abstract screening allows the review team to conduct the tedious but vital first step to synthesize the extant literature: winnowing down the overwhelming amalgamation of citations discovered through research databases to…
Descriptors: Meta Analysis, Citations (References), Documentation, Databases
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Meyer, Jennifer; Jansen, Thorben; Hübner, Nicolas; Lüdtke, Oliver – Educational Psychology Review, 2023
Students' academic achievement is a central predictor of a long list of important educational outcomes, such as access to higher education and socioeconomic success. Prior studies have extensively focused on identifying variables that are related to academic achievement and an important variable in this context appears to be students' personality.…
Descriptors: Academic Achievement, Personality Traits, Meta Analysis, Elementary School Students
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García-Martínez, Inmaculada; Fernández-Batanero, José María; Fernández-Cerero, José; León, Samuel P. – Journal of New Approaches in Educational Research, 2023
Artificial intelligence (AI) and computational sciences have aroused a growing interest in education. Despite its relatively recent history, AI is increasingly being introduced into the classroom through different modalities, with the aim of improving student achievement. Thus, the purpose of the research is to analyse, quantitatively and…
Descriptors: Artificial Intelligence, Computation, Academic Achievement, Meta Analysis
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Li, Wenhao; Qian, Li; Feng, Qinna; Luo, Heng – Journal of Computer Assisted Learning, 2023
Background: Panoramic video as a novel instructional media with increasing educational application. However, empirical research on panoramic video instruction is mostly episodic with conditional and inconclusive results. Objectives: This study reviewed 10 years (2011-2021) of research on panoramic video in education to synthesize, meta-analyse,…
Descriptors: Video Technology, Technology Uses in Education, Instructional Design, Research Design
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Tong, Yuyao; Chan, Carol K. K. – International Journal of Computer-Supported Collaborative Learning, 2023
This study examined students' understanding of, and reflective inquiry into discourse, specifically their epistemic discourse understanding and meta-discourse, and investigated their roles and relationships in fostering productive inquiry in knowledge building. The participants comprised two classes of ninth grade visual arts students inquiring…
Descriptors: Meta Analysis, Discourse Analysis, Epistemology, Inquiry
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Dost, Gulsah; Mazzoli Smith, Laura – Journal of Further and Higher Education, 2023
The current literature on 'sense of belonging' spans a number of disciplines, with no apparent consensus on definition between these, complicated by the fact that sense of belonging is temporal and context-sensitive (such as during COVID-19). In particular, a closer look at how students define sense of belonging is needed from an up-to-date…
Descriptors: Undergraduate Students, Sense of Community, Student College Relationship, Meta Analysis
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Wilson, Matthew L. – Journal of Research on Technology in Education, 2023
This study examines the effect of teacher education courses for technology integration (TECTI) on preservice teacher attitudes and beliefs from 2007-2017. Technology attitudes are the affective stances leading to observable technology integration behaviors. Technology beliefs are the "pedagogical beliefs" on teaching and learning with…
Descriptors: Technology Integration, Information Technology, Meta Analysis, Teacher Education Programs
Schumacher, Robin F.; Krowka, Sarah K.; Haymond, Kelly S.; Newman-Gonchar, Rebecca A.; Gersten, Russell – Instructional Research Group, 2023
This systematic review and meta-analysis appraised and synthesized mathematics interventions research addressing rational number concepts for students with mathematics difficulties (MD) in Grades 3-9. Included studies (n = 28) meet the What Works Clearinghouse Group Design standards (Version 4.0) for study quality. Across all studies, we found…
Descriptors: Meta Analysis, Mathematics Instruction, Numeracy, Learning Problems
Kristin Dee Vierra – ProQuest LLC, 2023
Oppressive social systems are structures and institutions within society that systematically and unjustly restrict the rights, opportunities, and overall well-being of certain groups (Bonilla-Silva, 1997; Feagin, 2013). The current program of research aims to investigate how oppressive social systems impact individuals and explore strategies to…
Descriptors: College Faculty, Males, Meta Analysis, Intervention
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