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Yazid Albadarin; Mohammed Saqr; Nicolas Pope; Markku Tukiainen – Discover Education, 2024
Over the last four decades, studies have investigated the incorporation of Artificial Intelligence (AI) into education. A recent prominent AI-powered technology that has impacted the education sector is ChatGPT. This article provides a systematic review of 14 empirical studies incorporating ChatGPT into various educational settings, published in…
Descriptors: Artificial Intelligence, Computer Software, Research Reports, Meta Analysis
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Steve Graham; Alyson A. Collins; Stephen Ciullo – Grantee Submission, 2024
We present 11 evidence-based practices for teaching writing to students. These include recommendations for teaching writing to younger students (aged 5-11) and older students (aged 6-18). The recommendations are based on findings from close to 1000 investigations. The proposed recommendations are (1) students need to write, but writing is not…
Descriptors: Evidence Based Practice, Writing Instruction, Meta Analysis, Writing Across the Curriculum
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Steve Graham; Alyson A. Collins; Stephen Ciullo – Education 3-13, 2024
We present 11 evidence-based practices for teaching writing to students. These include recommendations for teaching writing to younger students (aged 5-11) and older students (aged 6-18). The recommendations are based on findings from close to 1000 investigations. The proposed recommendations are: (1) students need to write, but writing is not…
Descriptors: Evidence Based Practice, Writing Instruction, Meta Analysis, Writing Across the Curriculum
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Linlin Hu – Journal of Educational Computing Research, 2024
This study employs meta-analysis to synthesize findings from 30 articles investigating gender differences in computational thinking (CT) among K-12 students. Encompassing 51 independent effect sizes, the meta-analysis involves a participant pool of 9181 individuals from various countries, comprising 4254 males and 4927 females. Results indicate…
Descriptors: Gender Differences, Computation, Thinking Skills, Elementary School Students
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Brianna M. Anderson; Autumn Kozluk; Marie-Chanel M. Morgan; Melissa A. MacDonald; Jonathan E. Friedel; Alison D. Cox – Journal of Behavioral Education, 2024
Previous research evaluating behavior skills training and performance feedback has largely examined factors influencing interventionist performance outcomes. However, to our knowledge, researchers have yet to compile existing literature to specifically explore characteristics associated with improved learner outcomes in the context of…
Descriptors: Intervention, Training, Outcomes of Education, Meta Analysis
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Helta Anggia; Anita Habók – MEXTESOL Journal, 2024
The effect that online extensive reading (ER) of English texts has on learners' reading comprehension and motivation to read is not well understood. The purpose of this systematic review was to examine the efficacy of online ER by examining quantitative and mixed-methods studies that examined the effect of online ER on learners' reading…
Descriptors: Secondary School Students, Reading Motivation, Reading Achievement, Reading Comprehension
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Amanda Vite; Erika A. Patall; Man Chen – Educational Psychology Review, 2024
Childhood and adolescence are pivotal developmental stages for psychological health. An understanding of psychological mechanisms related to well-being is important for promoting positive life outcomes for youth. Research generally shows that the basic psychological need for autonomy is significantly associated with well-being. To examine the…
Descriptors: Elementary School Students, Secondary School Students, Youth, Personal Autonomy
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Van Lissa, Caspar J.; van Erp, Sara; Clapper, Eli-Boaz – Research Synthesis Methods, 2023
When meta-analyzing heterogeneous bodies of literature, meta-regression can be used to account for potentially relevant between-studies differences. A key challenge is that the number of candidate moderators is often high relative to the number of studies. This introduces risks of overfitting, spurious results, and model non-convergence. To…
Descriptors: Bayesian Statistics, Regression (Statistics), Maximum Likelihood Statistics, Meta Analysis
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Fritz, Tanja; González Cruz, Hernán; Janke, Stefan; Daumiller, Martin – Educational Psychology Review, 2023
Academic dishonesty is a pervasive problem undermining the effectiveness of educational institutions. From a motivational perspective, researchers have proposed achievement goals as antecedents of academic dishonesty. Empirical findings corroborate the notion that mastery goals (focus on learning and competence development) are negatively linked…
Descriptors: Academic Achievement, Goal Orientation, Cheating, Meta Analysis
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Dahl-Leonard, Katlynn; Hall, Colby; Capin, Philip; Solari, Emily J.; Demchak, Alisha; Therrien, William J. – Annals of Dyslexia, 2023
Early access to evidence-based reading intervention improves outcomes for students with or at risk for reading difficulties. Additionally, teacher implementation of reading interventions plays a key role in the efficacy of reading interventions. Previous research suggests the influence of intervention implementation fidelity on student language…
Descriptors: Fidelity, Intervention, Elementary School Students, At Risk Students
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Haque, Mustafizul; Kumar, V. Vijaya; Singh, Preeti; Goyal, Adheer A.; Upreti, Kamal; Verma, Ankit – Education and Information Technologies, 2023
Now a days with the rapidly increasing development of technology and communication system, the implementation of blockchain is continuously increasing in various sectors. With the increase in massive data in educational sectors there arise a requirement of handling such enormous data. This can be easily and securely handled by blockchain…
Descriptors: Meta Analysis, Information Technology, Technology Uses in Education, Technology Integration
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Larkin, Kevin; Lowrie, Thomas – International Journal of Science and Mathematics Education, 2023
In the last 5 years, there have been several literature reviews or meta-analyses investigating various aspects of STEM education; however, they have investigated a specific aspect of STEM, e.g. robotics, or digital games, or Early childhood, or Teacher perspectives. In addition, a broad-reaching review on STEM integration has not been conducted in…
Descriptors: Teaching Methods, STEM Education, Meta Analysis, Elementary School Students
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Emine Kahraman – International Journal of Modern Education Studies, 2023
The research aims to analyse the most current (2015-2023) literature on STEM education to gain a deeper understanding of current trends, priorities and developments in the field of STEM education. Scientific studies determined within the scope of the study were examined using bibliometric and content analysis methods, which are among the…
Descriptors: Bibliometrics, STEM Education, Content Analysis, Databases
Janssen, Jayley – ProQuest LLC, 2023
Racism primarily has been examined in United States (U.S.) educational contexts via survey and qualitative investigations, which reveal Black, Indigenous, and People of Colors' (BIPOCs') self-reported experiences of individual racism. Missing from this research is a focus on the perpetrators of racism and the institutional nature of racism in U.S.…
Descriptors: Meta Analysis, Racism, Preschool Education, Elementary Secondary Education
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McDaniel, Sara C.; Watkins, Laci; Chow, Jason C.; Fedewa, Megan; Nemer, Sharon – Journal of Applied School Psychology, 2023
Coping Power (CP) is an evidence-based intervention that reduces externalizing behaviors in students who are identified as aggressive or disruptive. CP is based on a cognitive-behavioral model and involves child-focused group sessions and parent-focused sessions. A large body of research has demonstrated the effectiveness of CP, but to date there…
Descriptors: Literature Reviews, Meta Analysis, Coping, Evidence Based Practice
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