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Sevda Göktepe Yildiz; Seda Göktepe Körpeoglu – International Electronic Journal of Mathematics Education, 2025
Human intelligence is related to cognitive skills such as the acquisition of new knowledge, problem-solving and abstract thinking in learning processes. These processes are of great importance in mathematical education. Artificial intelligence (AI) can help students develop these cognitive skills by providing customized teaching methods according…
Descriptors: Educational Trends, Trend Analysis, Mathematics Education, Databases
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Meryem Seda Gunsaldi; Elif Gamze Guner; Musa Uckan; Kaan Bati – Journal of Education in Science, Environment and Health, 2025
This systematic literature review examines the impact of generative artificial intelligence (AI) applications on student learning outcomes in middle school science education. Twelve studies that met the inclusion and exclusion criteria were included in the study. The studies were accessed from the WOS, SCOPUS, ERIC, and TrDizin indexes and…
Descriptors: Outcomes of Education, Science Education, Student Motivation, Artificial Intelligence
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Foody, Mairéad; Samara, Muthanna; O'Higgins Norman, James – British Journal of Educational Psychology, 2017
Background: Bullying research has gained a substantial amount of interest in recent years because of the implications for child and adolescent development. Aim and sample: We conducted a meta-analysis of traditional and cyberbullying studies in the Republic and North of Ireland to gain an understanding of prevalence rates and associated issues…
Descriptors: Bullying, Computer Mediated Communication, Incidence, Victims
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Ok, Min Wook; Ratliffe, Katherine T. – Journal of Educational Computing Research, 2018
Mobile devices have become widely used in K-12 education settings for teaching diverse students. We comprehensively reviewed 11 studies published between 2005 and 2016 that examined the use of mobile devices for teaching K-12th grade English language learner students in the United States. We also examined the methodological quality of the studies.…
Descriptors: English Language Learners, Telecommunications, Handheld Devices, Teaching Methods
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Mastorodimos, Dimitrios; Chatzichristofis, Savvas A. – Journal of Educational Technology Systems, 2019
Students face difficulties in learning mathematical processes. As a result, they have negative emotions toward mathematics. The use of technology is employed to change the student's attitude toward mathematics. Some methods utilize intelligent tutoring systems to recognize student's emotional state and adapt the learning process accordingly. These…
Descriptors: Mathematics Instruction, Mathematical Concepts, Intelligent Tutoring Systems, Learning Processes
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Tourangeau, Karen; Nord, Christine; Lê, Thanh; Wallner-Allen, Kathleen; Hagedorn, Mary C.; Leggitt, John; Najarian, Michelle – National Center for Education Statistics, 2015
This manual provides guidance and documentation for users of the longitudinal kindergarten-first grade (K-1) data file of the Early Childhood Longitudinal Study, Kindergarten Class of 2010-11 (ECLS-K:2011). It mainly provides information specific to the first-grade rounds of data collection. Data for the ECLS-K:2011 are released in both a…
Descriptors: Children, Surveys, Longitudinal Studies, Kindergarten
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Burns, Matthew K.; Ysseldyke, Jim; Nelson, Peter M.; Kanive, Rebecca – School Psychology Quarterly, 2015
Computational fluency is an important aspect of math proficiency. Despite widely held beliefs about the differential difficulty of single-digit multiplication math facts, little empirical work has examined this issue. The current study analyzed the number of repetitions needed to master multiplication math facts. Data from 15,402 3rd, 4th, and 5th…
Descriptors: Elementary School Students, Mathematics Instruction, Multiplication, Mathematics Skills
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Haas, Lindsay B.; Stickney, Eric M.; Ysseldyke, James E. – Journal of Applied School Psychology, 2016
The authors examined the extent to which classroom teachers in naturalistic settings used a Goal-Setting Tool to set instructional goals for struggling students, the kinds of goals they set, their progress monitoring practices with and without goals, and the extent to which students gain more when a goal-setting tool is used. The goal-setting tool…
Descriptors: At Risk Students, Learning Disabilities, Student Educational Objectives, Goal Orientation
Foy, Pierre, Ed.; Drucker, Kathleen T., Ed. – International Association for the Evaluation of Educational Achievement, 2013
Progress in International Reading Literacy Study (PIRLS) provides international comparative data about students' reading achievement after four years of primary schooling, while also measuring trends over time, monitoring curricular implementation, and identifying promising instructional practices. Conducted on a regular 5-year cycle, PIRLS has…
Descriptors: Guides, Users (Information), Reading Achievement, Best Practices
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Alt, Mary; Meyers, Christina; Figueroa, Cecilia – Journal of Speech, Language, and Hearing Research, 2013
Purpose: The purpose of this study was to determine whether children exposed to 2 languages would benefit from the phonotactic probability cues of a single language in the same way as monolingual peers and to determine whether crosslinguistic influence would be present in a fast-mapping task. Method: Two groups of typically developing children…
Descriptors: Regression (Statistics), Spanish, Cues, Task Analysis
Baptista Nunes, Miguel, Ed.; McPherson, Maggie, Ed. – International Association for Development of the Information Society, 2014
These proceedings contain the papers of the International Conference e-Learning 2014, which was organised by the International Association for Development of the Information Society and is part of the Multi Conference on Computer Science and Information Systems (Lisbon, Portugal July 15-19, 2014). The e-Learning 2014 conference aims to address the…
Descriptors: Conference Papers, Electronic Learning, Educational Technology, Technology Uses in Education