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Tugce Özbek; Christina Wekerle; Ingo Kollar – Education and Information Technologies, 2024
Pre-service teachers' often suboptimal use of technology in teaching can be explained by low levels of technology acceptance. The present study aims to investigate how technology acceptance can be promoted. Based on the Technology Acceptance Model by Davis (1986), we hypothesized that encouraging pre-service teachers to constructively engage with…
Descriptors: Preservice Teachers, Student Attitudes, Computer Attitudes, Technology Uses in Education
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Stamatios, Papadakis – International Journal of Educational Reform, 2024
Computational Thinking (CT) and the understanding of how programs are being executed is internationally acknowledging as a necessity for today's students and citizens of tomorrow. Despite the multifaceted nature of CT, the introduction of CT and associate concepts such as coding is regarded as developmental acceptable for preschool and…
Descriptors: Preschool Children, Computation, Thinking Skills, Programming
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Gerald K. LeTendre; Raisa Gray – Journal of Computer Assisted Learning, 2024
Background: Although human-robotic interaction is a rapidly burgeoning area of study within education, and social robots are being widely tested for use in schools, few studies have focused on early adolescent interactions with robots under actual classroom conditions. Objectives: We introduced an autonomous, social robot ('Pepper') into a…
Descriptors: Robotics, Student Projects, Early Adolescents, Active Learning
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Nicholas J. Sauers; Matt Townsley; Jayson W. Richardson – Clearing House: A Journal of Educational Strategies, Issues and Ideas, 2024
In March 2020, schools worldwide suddenly and dramatically transitioned to online learning. This article describes a case study where we used a purposeful sampling of six technology-savvy school principals to explore their experiences with student assessment of learning during the pandemic. Findings captured how these tech-savvy leaders supported…
Descriptors: Principals, Administrator Attitudes, Student Evaluation, COVID-19
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Ekene Francis Okagbue; Sayibu Muhideen; Abazie Genevive Anulika; Ilokanulo Samuel Nchekwubemchukwu; Onwubuya Gift Chinemerem; Mustapha Bala Tsakuwa; Lydia Osarfo Achaa; Michael Agyemang Adarkwah; Komolafe Blessing Funmi; Nweze Chiamaka Nneoma; Christine Mwase – Education and Information Technologies, 2024
Humanoid robotics (HR) studies around the world are on the rise today. As a result of its enormous contributions to enhancing productivity and efficiency in education and other spheres of life brought the attention of it to the academic community to consider it as an adequate learning tool in higher education. However, the study revealed that…
Descriptors: Robotics, Man Machine Systems, Higher Education, Technology Uses in Education
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Jiang, Jialei – Journal of Adolescent & Adult Literacy, 2024
This study explores the implications of critical affective literacy through digital storytelling projects produced by first-year college writing students. The goal was to examine college students' affective and emotional responses to social justice issues, such as racial profiling, educational inequality, and animal protection, through the lens of…
Descriptors: Psychological Patterns, Multiple Literacies, College Freshmen, Writing Instruction
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Sarup R. Mathur; Heather Griller Clark; Jeff M. Gau – Preventing School Failure, 2024
Justice-involved youth have a high risk of reoffending after release, indicating the need for evidence-based reentry programming. This paper presents the results of a two-year post-release non-randomized comparison study. The study examined the impact of enhanced transition programming, delivered through Reentry Intervention and Support for…
Descriptors: Technology Integration, Recidivism, Youth, Juvenile Justice
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Paul Atchley; Hannah Pannell; Kaelyn Wofford; Michael Hopkins; Ruth Ann Atchley – Cognitive Research: Principles and Implications, 2024
In service of the goal of examining how cognitive science can facilitate human-computer interactions in complex systems, we explore how cognitive psychology research might help educators better utilize artificial intelligence and AI supported tools as facilitatory to learning, rather than see these emerging technologies as a threat. We also aim to…
Descriptors: Man Machine Systems, Artificial Intelligence, Technology Uses in Education, Cognitive Psychology
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Sarah Jerasa; Sarah K. Burriss – English Teaching: Practice and Critique, 2024
Purpose: Artificial intelligence (AI) has become increasingly important and influential in reading and writing. The influx of social media digital spaces, like TikTok, has also shifted the ways multimodal composition takes place alongside AI. This study aims to argue that within spaces like TikTok, human composers must attend to the ways they…
Descriptors: Artificial Intelligence, Social Media, Algorithms, Writing (Composition)
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Melinda Box; Maria Gallardo-Williams; Ciana Paye – Journal of College Science Teaching, 2024
Clear, detailed instructional procedures have an important role to play in laboratory teaching to not only produce consistent results but also ensure safe practices. Student success in using these procedures can be strengthened through the use of video resources. However, not all video content will have the same impact. Videos must have sufficient…
Descriptors: Video Technology, Instructional Materials, Material Development, Student Projects
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Maria Vieira – Teaching Science, 2024
In a time where ChatGPT enables students of secondary and tertiary levels to create assignments with just a single click, a pertinent question arises: how do we cultivate critical skills and authenticate their work? Design Thinking offers solutions to these challenges. This article explores the impact of Design Thinking in addressing the issues…
Descriptors: Design, Thinking Skills, STEM Education, Artificial Intelligence
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Pheneas Nkundabakura; Theophile Nsengimana; Eugenie Uwamariya; Pascasie Nyirahabimana; Jean Baptiste Nkurunziza; Concilie Mukamwambali; Jean Claude Dushimimana; Jane Batamuliza; Celine Byukusenge; Aloys Iyamuremye – Discover Education, 2024
This research aimed to determine the influence of Continuous Professional Development (CPD) training offered by Rwanda Quality Basic education for Capital Human Development Project (RQBEHCD) sub-component 1.2 on upper primary teachers' Pedagogical Content Knowledge (PCK) in mathematics and science, and elementary technology (SET) subjects. The…
Descriptors: Faculty Development, Pedagogical Content Knowledge, Foreign Countries, Elementary School Teachers
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Gede Arka Puniatmaja; Ni Nyoman Parwati; I Made Tegeh; I Gde W. Sudatha – Pegem Journal of Education and Instruction, 2024
The present study aimed at examining the effect of e-learning and students 'digital literacy towards their learning outcomes. It was designed in quasi-experimental research with post-test-only control group within 2x2 factorial design. The sample of the study involved 96 vocational students obtained from random sampling technique. Two instruments…
Descriptors: Electronic Learning, Educational Technology, Vocational Education, Conventional Instruction
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Lukas Höper; Carsten Schulte – Informatics in Education, 2024
In K-12 computing education, there is a need to identify and teach concepts that are relevant to understanding machine learning technologies. Studies of teaching approaches often evaluate whether students have learned the concepts. However, scant research has examined whether such concepts support understanding digital artefacts from everyday life…
Descriptors: Student Empowerment, Data Use, Computer Science Education, Artificial Intelligence
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Umut Zeki; Tolgay Karanfiller; Kamil Yurtkan – Education and Information Technologies, 2024
The developmental, characteristics and educational competencies of students who need special education are developing slowly in compared to their agemates. This is because their expressive language is different. In order to overcome these challenges, assistive technologies can be used under the supervision of the teachers. In this paper, a person…
Descriptors: Special Education, Expressive Language, Assistive Technology, Artificial Intelligence
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