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Seda Göktepe Körpeoglu; Sevda Göktepe Yildiz – International Journal of Science Education, 2024
Numerous artificial intelligence methods have lately been applied in education. This study proposes an Adaptive Neural-network-based Fuzzy Logic (ANFIS) model combining fuzzy logic and artificial neural networks for predicting students' STEM attitudes. The inputs of the research were determined as grade levels and academic achievement scores, and…
Descriptors: Foreign Countries, Middle School Students, STEM Education, Student Attitudes
Ajda Aylin Can – Journal of Pedagogical Research, 2025
Students receiving instrument education in institutions providing vocational music education are expected to enhance their self-efficacy perceptions regarding their instruments, identify their motivations, and develop strategies for their learning approaches. These efforts aim to address deficiencies encountered during the educational process and…
Descriptors: Musical Instruments, Music Education, Student Attitudes, Self Efficacy
Karagözoglu, Nazike; Gezer, Ugur – Educational Policy Analysis and Strategic Research, 2022
The relationship between the digital literacy levels of Social Studies teacher candidates and their attitudes towards distance education was investigated in this study. In addition, attitudes of teacher candidates towards distance education and their digital literacy levels were compared in terms of gender, year of education and income variables.…
Descriptors: Social Studies, Preservice Teachers, Technological Literacy, Student Attitudes
Zhumabayeva, Aziya; Nurshanova, Sazhila; Zhumabayeva, Zhazira; Ospankulov, Yernar; Bazarbekova, Rabiga; Stambekova, Assel – International Journal of Education in Mathematics, Science and Technology, 2023
Although the use of mobile technologies in education is rapidly becoming widespread, there are limited findings about the attitudes, competencies and acceptance behaviors of prospective teachers who use and will use these technologies. However, prospective teachers will be the implementers of new technologies such as mobile learning in education…
Descriptors: Elementary School Teachers, Teacher Attitudes, Telecommunications, Handheld Devices
Yu Cui; Lingjie Tang; Fang Fang – Journal of Computer Assisted Learning, 2025
Background Study: With the rapid transition to remote learning necessitated by the closure of traditional educational infrastructures globally, the arena of informal digital learning of English (IDLE) has received much attention, particularly among English as a Foreign Language (EFL) learners in China. Objective: This study explores how…
Descriptors: Electronic Learning, Artificial Intelligence, Predictor Variables, Informal Education
Wijdan Fakhry Shtiwi – International Journal of Education in Mathematics, Science and Technology, 2023
The study aimed to identify the level of emotional regulation and psychological identity styles among adolescents. It also identified emotional regulation as a predictor of psychological identity styles in adolescents. To achieve the aim of the study, the descriptive correlational approach was used. The study sample consisted of 645 male and…
Descriptors: Self Control, Self Concept, Predictor Variables, Secondary School Students
Greg Stein; Yvonne Wei – Higher Education Studies, 2024
This study investigates undergraduate student satisfaction at a small private university in Japan, focusing on factors like social environment, instructors, facilities, support, academic grit, and student engagement. Given Japan's demographic challenges and the heightened competition in higher education, understanding these factors is crucial for…
Descriptors: Student Satisfaction, Small Colleges, Private Colleges, Foreign Countries
Göktepe Körpeoglu, Seda; Göktepe Yildiz, Sevda – Education and Information Technologies, 2023
Examining students' attitudes towards STEM (science, technology, engineering, and mathematics) fields starting from middle school level is important in their career choices and future planning. However, there is a need to investigate which variables affect students' attitudes towards STEM. Here, we aimed to estimate middle school students'…
Descriptors: Comparative Analysis, Algorithms, Data Collection, Student Attitudes
Michayla D. Mack; Sanna King; David C. May – Youth & Society, 2025
This study examines middle and high school students' perceptions of school climate using an intersectional theoretical framework. Participants include 812 middle and high school students across the United States. Using exploratory factor analysis, we created indexes to regress perceptions of school climate across four subscales on variables known…
Descriptors: Secondary School Students, Student Attitudes, Educational Environment, Violence
Sengül, Murat; Demirel, Ahmet – International Journal of Education and Literacy Studies, 2022
The purpose of this study is to explore the levels of digital literacy among Turkish teacher candidates as well as their attitudes about digital writing, and to investigate the relationship between these variables. The survey model is used in this study using a quantitative research approach. The sample of the research consists of 556 Turkish…
Descriptors: Foreign Countries, Technological Literacy, Preservice Teachers, Student Attitudes
Caroline Cobb; Jianling Xie; Katarzyna Gallo; Marlon Boyd; Margaret Wilkins; Madison Wadsworth; Lucy Brake – American Journal of Distance Education, 2024
We sought to examine the potential environmental protective factors contributing to academic resilience among college students during emergency distance education. Data were collected from a sample of undergraduate students (n = 195) representing various majors and academic classifications. Our study results revealed that students perceived their…
Descriptors: Undergraduate Students, Resilience (Psychology), COVID-19, Pandemics
Yuh-Show Cheng – Malaysian Journal of Learning and Instruction, 2024
Purpose: Given the research gaps identified in a literature review, this study aims to uncover how the intensity of learners' motivational behavior and its predictors vary with grade level. Methodology: A large-scale survey was conducted to examine motivational behavior and its predictors among EFL learners across three education levels and ten…
Descriptors: Student Motivation, Predictor Variables, Elementary School Students, Junior High School Students
Demir, Cennet Göloglu; Önal, Nagihan Tanik; Önal, Nezih – Journal of Science Learning, 2021
The purpose of the current study is to investigate middle school students' attitudes towards Science, Technology, Engineering, and Mathematics (STEM) education and to determine the predictors of these attitudes. The study was designed according to the relational survey model, one of the quantitative research designs. The sample of the study is…
Descriptors: Middle School Students, Student Attitudes, Attitude Measures, STEM Education
Becirovic, Senad; Dubravac, Vildana; Brdarevic-Celjo, Amna – SAGE Open, 2022
The importance of applying cooperative learning and aiming toward an increase in motivation to maximize the effectiveness of the learning process has not sparked an intense research interest in the Bosnian EFL context. Thus, the current study, conducted among 211 high-school participants, explores the impact of gender and grade level on students'…
Descriptors: Cooperative Learning, Learning Motivation, Academic Achievement, Learning Processes
Bonne, Linda; Lawes, Elliot – New Zealand Council for Educational Research, 2019
In this New Zealand study, the maths self-efficacy and achievement of Year 4-10 students is being tracked over 3 years. A particular strength of this study is that maths self-efficacy is being measured in relation to items that have been psychometrically located on a difficulty scale, enabling students' self-efficacy responses to be interpreted in…
Descriptors: Foreign Countries, Elementary School Students, Secondary School Students, Mathematics Achievement

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