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Musa Saimon; Fredrick Mtenzi; Zsolt Lavicza; Kristóf Fenyvesi; Maik Arnold; José Manuel Diego-Mantecón – Education and Information Technologies, 2024
The 6E Learning by Design (LbD) model can enhance student teachers' development of competence for integrating technologies in the classrooms including Artificial Intelligence (AI). However, teacher educators rarely use the 6E LbD model in supporting and encouraging student teachers to integrate AI applications in their classrooms effectively. To…
Descriptors: Student Teachers, Teacher Educators, Artificial Intelligence, Technology Integration
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Mariam Revishvili; Mzia Tsereteli – Cogent Education, 2024
The purpose of this study was to explore the psychological mechanism of self-regulated learning in a technology-enhanced learning environment and to develop a comprehensive model of its function. As a theoretical approach, we used Pintrich's model of Self-regulated learning. The mixed research methods were used in this study. First, we conducted…
Descriptors: Foreign Countries, Undergraduate Students, Independent Study, Technology Integration
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Darina Mísarová; Hana Svobodová; Vendula Mašterová; Katerina Novotná – International Research in Geographical and Environmental Education, 2024
The implementation of geospatial technologies in both primary and secondary education is more than desirable. However, many obstacles stand in the way. This paper reflects on the current state of geographic information systems (GIS) implementation in the educational curriculum in Czechia in comparison with an international context. The study aimed…
Descriptors: Curriculum Development, Geographic Information Systems, Elementary Education, Secondary Education
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Hanan Khalil; Said Alsenaidi – Journal of Education and e-Learning Research, 2024
This study explores the competencies required by digital teachers to effectively leverage AI in fostering a future-ready classroom environment. It delves into competencies essential for teachers to harness the potential of AI. A descriptive analytical approach was employed to extract the required AI competency list and determine its importance.…
Descriptors: Foreign Countries, Teacher Competencies, Technological Literacy, Artificial Intelligence
Jeanette Abrahamsen – ProQuest LLC, 2024
The purpose of this three-article dissertation is to better understand the role emerging technologies are playing in learning. This dissertation explores tools on a spectrum of reality from fully immersive virtual reality (VR), semi-immersive VR, non-immersive VR, augmented reality (AR), mixed reality (MR), and extended reality (XR). Three studies…
Descriptors: Higher Education, Educational Technology, Educational Change, Computer Simulation
Douglas Spencer Boynton – ProQuest LLC, 2024
Digital media and advancements in learning technologies have dramatically reshaped the landscape of K-12 education. By 2018, 96% of public schools had the infrastructure required for digital learning. This dissertation evaluates how augmented reality (AR) and virtual reality (VR) technologies are integrated into K-12 education, focusing on…
Descriptors: Technology Integration, Elementary Secondary Education, Computer Simulation, Educational Technology
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João Grácio; Nuno Dorotea; Maria Rosário Rodrigues – Educational Media International, 2024
This primary school teachers' (1CEB) community of practice started its activity in the school year 2020/2021, being organized around three main goals: (i) implement a small community of practice with 1CEB teachers, focusing on issues related to the curricular integration of Digital Technologies (DT); (ii) create lesson plans and other materials…
Descriptors: Communities of Practice, Elementary School Teachers, Program Implementation, Teacher Attitudes
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Elizabeth Achinewhu-Nworgu – Bulgarian Comparative Education Society, 2024
There is a growing concern that AI is likely to replace the work done face to face in the classroom by teachers. The concerns also extend to the students use of AI to complete assignments which could impact on their grades either positive or negative and in some cases, when a student work is detected with high AI the work could be classified as…
Descriptors: Foreign Countries, Artificial Intelligence, Higher Education, Technology Integration
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Liru Hu; Gaowei Chen; Jiajun Wu – Journal of Computer Assisted Learning, 2024
Background: The existing research on dialogue-based learning and teaching predominantly highlights its capacity to yield productive educational outcomes, yet it often overlooks the pivotal factor of participation equity, which is fundamental to ensuring the efficacy of dialogic teaching and learning. Objectives: In this study, participation equity…
Descriptors: Problem Solving, Participation, Equal Education, Student Participation
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Christoph Teschers; Till Neuhaus; Michaela Vogt – Educational Philosophy and Theory, 2024
Rapid technological advancements, globalisation, environmental crises, and ongoing conflicts have contributed to an increasingly quickly changing social, cultural, and work environment for current and future generations. In this paper, we argue that the traditional schooling system and approaches to curriculum and pedagogy that are based on…
Descriptors: Curriculum Development, Technology Integration, Educational Innovation, Global Approach
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Claire Dorris; Karen Winter; Liam O'Hare; Edda Tandi Lwoga – Campbell Systematic Reviews, 2024
Mobile devices in the primary school classroom may improve literacy and numeracy learning, though concerns about risk of bias and uncertainty about modes of effect limit conclusions. This review gathered evidence on how mobile devices (including tablets, mobile phones, and handheld digital games) are used in primary school classrooms to help…
Descriptors: Handheld Devices, Technology Uses in Education, Elementary School Students, Literacy
Monique Dowd – ProQuest LLC, 2024
The college mental health crisis continues to worsen across American campuses. According to the Healthy Minds Network (2020) Fall 2020 survey, 50% of undergraduate college students screened positive for two mental disorders; anxiety and/or depression. Due to this increased prevalence, many institutions of higher education (IHE) have not been able…
Descriptors: Mental Health, Wellness, Undergraduate Students, Counseling
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Shu-Hsuan Chang; Po-Jen Kuo; Jia Xin Kao; Lee-Jen Yang – Interactive Learning Environments, 2024
With the development of education technology, Smart classroom has evolved to version 2.0. Currently, the meta-analysis literature on the effects of smart classroom-based instruction on academic achievement ignores the impact of technological changes and time on the effect sizes. This study incorporated the impact of technological changes and time,…
Descriptors: Educational Technology, Technology Integration, Instructional Effectiveness, Academic Achievement
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Sinead Wilson; Karen Murcia; Emma Cross; Geoff Lowe – Australian Educational Researcher, 2024
Across Australia, early years learning frameworks recommend digital technologies be integrated into early years centres. Introduced in 2009, the Early Years Learning Framework, requires educators to foster children's use of technologies for accessing information, investigating ideas, and representing their thinking. The National Quality Framework…
Descriptors: Technology, Early Childhood Education, Digital Literacy, Personal Autonomy
Wilneisha C. Jakes – ProQuest LLC, 2024
Academic self-efficacy is an essential role in student's academic success. There are several factors that can contribute to student academic self-efficacy. Identifying student's self-efficacy can help their experiences in school. Understanding factors that can contribute to student's self-efficacy can better prepare them for academic success. The…
Descriptors: Elementary School Teachers, Elementary School Students, Grade 3, Grade 4
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