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Sazhila Nurzhanova; Assel Stambekova; Kulyay Zhaxylikova; Galiya Tatarinova; Elmira Aitenova; Zhazira Zhumabayeva – International Journal of Education in Mathematics, Science and Technology, 2024
It is essential for pre-service teachers to have digital literacy and technology use skills in order to integrate technology into education and training processes both effectively and efficiently. In this study, the digital literacy and technology use skills of pre-service teachers from different universities in Kazakhstan were examined…
Descriptors: Digital Literacy, Technology Uses in Education, Preservice Teachers, Foreign Countries
Elmira Uaidullakyzy; Sarsengul Jetpisbayeva; Saule Bazarbaevna Zhorayeva; Nurgul Shadiyeva – Novitas-ROYAL (Research on Youth and Language), 2024
This research evaluates future teachers' attitudes regarding developing educational culture through interactive technologies in higher education. The study group of this mixed methods research consists of 388 teacher candidates. Research data were collected using a scale developed by the researchers and the teacher candidates' semi-structured…
Descriptors: Preservice Teachers, Student Attitudes, Educational Technology, Technology Uses in Education
Jeffrey P. Carpenter; Joshua M. Rosenberg; Aaron Kessler; Enilda Romero-Hall; Christian Fischer – Teachers and Teaching: Theory and Practice, 2024
Digital technologies permeate modern life, and schools are accordingly expected to help students develop related knowledge and skills. As a result, educators' professional digital competence (PDC) has received substantial attention from school leaders, policymakers, teacher educators, and researchers. Theory and prior research suggest that…
Descriptors: Teacher Educators, Barriers, Technological Literacy, Teacher Competencies
Liz A. Awang; Farrah D. Yusop; Mahmoud Danaee – International Electronic Journal of Mathematics Education, 2025
Mastering mathematics is often challenging for many students; however, the rise of artificial intelligence (AI) offers numerous advantages, including enhanced data analysis, automated feedback, and the potential for creating more interactive and engaging learning environments. Despite these benefits, there is a need for comprehensive reviews that…
Descriptors: Artificial Intelligence, Mathematics Education, Educational Technology, Technology Uses in Education
Selçuk Kilinç – Journal of Educational Technology and Online Learning, 2024
The integration of generative artificial intelligence (GenAI) tools into education has been a game-changer for teaching and assessment practices, bringing new opportunities, but also novel challenges which need to be dealt with. This paper presents the Comprehensive AI Assessment Framework (CAIAF), an evolved version of the AI Assessment Scale…
Descriptors: Artificial Intelligence, Evaluation Methods, Ethics, Technology Integration
Francisco Javier Palacios-Hidalgo; Cristina A. Huertas-Abril – Open Learning, 2025
21st-century EFL teachers are assumed to be properly trained to help develop future generations' language proficiency and digital literacy. Moreover, with the impact that the current pandemic has had on education, technology seems to be the only possible way to guarantee the continuity of teaching and learning. Considering that English is the most…
Descriptors: Digital Literacy, English (Second Language), Language Teachers, Preservice Teachers

Jennifer R. Morrison; Eugene Borokhovski; Robert M. Bernard; Robert E. Slavin – Grantee Submission, 2024
Research and theory indicate that the type and quality of instruction, not the delivery mechanism, are what impact learning. Previous reviews have not systematically explored variations in the instructional strategies, approaches, and designs of educational technology programs and also suffered from lax inclusion criteria, which has been known to…
Descriptors: Elementary Secondary Education, Mathematics Education, Educational Technology, Research Methodology
Panpan Yang; Wenlan Zhang – Innovation in Language Learning and Teaching, 2025
Augmented reality (AR) is an immersive, interactive, and engaging advanced information technology and it is widely used in language learning. Although several studies have evaluated the effectiveness of AR in EFL learners' language gains, these research findings are inconsistent. Therefore, this study conducted a meta-analysis to analyze to what…
Descriptors: Computer Simulation, Educational Technology, Technology Uses in Education, English (Second Language)
Angxuan Chen; Yuyue Zhang; Jiyou Jia; Min Liang; Yingying Cha; Cher Ping Lim – Journal of Computer Assisted Learning, 2025
Background: Language assessment plays a pivotal role in language education, serving as a bridge between students' understanding and educators' instructional approaches. Recently, advancements in Artificial Intelligence (AI) technologies have introduced transformative possibilities for automating and personalising language assessments. Objectives:…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Assisted Testing, Language Tests
Abdulkadir Kirbas; Mesut Bulut – International Journal of Education in Mathematics, Science and Technology, 2024
The rapid development of information technologies in the century we live in has caused significant changes in the field of education. Today, in the information age, traditional reading models with printed materials such as books, newspapers, and magazines have been replaced by reading computers, mobile phones, presentations, and billboards. Thus,…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Reading
Mevlüt Ünal – International Journal of Technology in Education and Science, 2024
Living in a world rich in digital images requires students and educators to have more visual literacy skills. The aim of this study is to examine the attitudes and visual literacy of secondary school students towards digital images on a relational basis. 188 secondary school students from two private schools in Türkiye participated in the study…
Descriptors: Secondary School Students, Private Schools, Foreign Countries, Visual Literacy
Santiago Alonso-García; Juan-José Victoria-Maldonado; Jose-Antonio Martínez-Domingo; Blanca Berral-Ortiz – Journal of Technology and Science Education, 2024
Digital competence stands as a pivotal element in educational training across all levels, notably within higher education and particularly within the realm of initial teacher training. As prospective educators, these individuals bear the crucial responsibility of championing digital competences and integrating them into their teaching curricula.…
Descriptors: Teacher Competencies, Foreign Countries, Curriculum Development, Digital Literacy
Woonhee Sung; Heejung An; Christopher L. Thomas – Journal of Online Learning Research, 2024
This study examined K-12 public school teachers' classroom technology integration practices during the COVID-19 pandemic emergency remote teaching began. Survey data were collected from 76 K-12 teachers in public schools in a Southcentral U.S. state. The data include teachers' general beliefs about technology, their self-efficacy about technology…
Descriptors: COVID-19, Pandemics, Public School Teachers, Technology Integration
Aslihan Unal; Zafer Unal – Journal of Interactive Learning Research, 2024
This study explored K-12 teachers' perceptions of using artif icial intelligence (AI) in the classroom, aiming to understand their preparedness for professional development focused on AI integration. This paper presents findings from 141 in-service teachers enrolled in graduate programs at a Southern University, highlighting their views on AI,…
Descriptors: Technology Integration, Artificial Intelligence, Technology Uses in Education, Teacher Attitudes
MacKenzie D. Sidwell; Landon W. Bonner; Kayla Bates-Brantley; Shengtian Wu – Intervention in School and Clinic, 2024
Oral reading fluency probes are essential for reading assessment, intervention, and progress monitoring. Due to the limited options for choosing oral reading fluency probes, it is important to utilize all available resources such as generative artificial intelligence (AI) like ChatGPT to create oral reading fluency probes. The purpose of this…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Oral Reading
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