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Johri, Aditya; Hingle, Ashish – Journal of Engineering Education, 2023
Background: COVID-19 has led to an unprecedented increase in the use of technology for teaching and learning in higher education institutions (HEIs), including in engineering, computing, and technology programs. Given the urgency of the situation, technologies were often implemented with a short-term rather than long-term view. Purpose: In this…
Descriptors: Student Attitudes, Technology Uses in Education, Educational Technology, Video Technology
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Yesilyurt, Etem; Vezne, Rabia – Education and Information Technologies, 2023
Even though there is an abundance of research on computer supported education (CSE), digital literacy (DL), technological literacy (TL), and internet literacy (IL), the correlation between them and their effect on each other have not been analyzed in the literature. However, no study has been conducted on the correlation between and effect of CSE,…
Descriptors: Preservice Teachers, Digital Literacy, Technological Literacy, Internet
Depietro-Covey, Kathleen Elizabeth – ProQuest LLC, 2023
Twenty-first century skills such as critical thinking and problem solving, collaboration, communication, and creativity, prepare students for college and careers. When high school teachers fail to adopt and integrate technology in the core content area, students are at risk of not obtaining these necessary skills. This objective of this study was…
Descriptors: Teacher Attitudes, Computer Attitudes, Technology Integration, High School Teachers
Ratana Prinyawiwatkul – ProQuest LLC, 2023
Teaching and learning have been impacted by rapidly emerging technological innovations in today's 21st century academic paradigm (Saykili, 2019). It has been challenging to integrate technology into fundamental education in a manner that effectively promotes student learning since it has developed rapidly (Saykili, 2019). Additionally, given the…
Descriptors: Undergraduate Study, Computer Literacy, Digital Literacy, 21st Century Skills
Steven R. Frechette – ProQuest LLC, 2024
This study investigates student perceptions of artificial intelligence (AI). The study analyzed four independent variables -- age, gender, school, and employment -- to predict students' level of readiness to adopt AI within an educational setting. Using an instrument with two constructs, data was collected from a diverse, multicultural group of…
Descriptors: Community College Students, Community Colleges, Student Attitudes, Artificial Intelligence
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Steven Beyer; Frederik Grave-Gierlinger; Lars Meyer-Jenßen – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2024
Considering the widespread belief in the potential of mobile technology to enhance core activities of teachers, like lesson planning and preparation, limited research has been conducted on the use of mobile technology to support these activities. To address this research gap, this study delved into the acceptance of an intent-based chatbot…
Descriptors: Preservice Teachers, Student Attitudes, Beliefs, Users (Information)
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Lavidas, Konstantinos; Achriani, Anthi; Athanassopoulos, Stavros; Messinis, Ioannis; Kotsiantis, Sotiris – Education and Information Technologies, 2020
Teaching empirical educational research in higher education involves implementing a very useful web tool for bibliography/scientific literature research, a search engine specifically employed for scientific papers, such as "Google Scholar". The aim of this study is to examine undergraduate students' acceptance of technology, through…
Descriptors: College Students, Intention, Search Engines, Student Research
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Raes, Annelies; Depaepe, Fien – Education and Information Technologies, 2020
This study investigates technology acceptance over time of two specific technologies in a university setting, namely interactive quizzes and screen sharing. This topic is investigated in the framework of the Technology Acceptance Model (TAM) that includes the perceived usefulness, perceived ease of use and behavioural intention as main concepts.…
Descriptors: Student Attitudes, Adoption (Ideas), Expectation, Educational Technology
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Bresnihan, Nina; Bray, Aibhín; Fisher, Lorraine; Strong, Glenn; Millwood, Richard; Tangney, Brendan – ACM Transactions on Computing Education, 2021
This work is situated in research on Parental Involvement (PI) in Computer Science (CS) Education. While the importance of PI in children's education is well established, most parents have little experience in CS and struggle to facilitate the learning of a child in the area. If PI in CS Education is to happen, then we argue that parents need…
Descriptors: Parent Participation, Computer Science Education, Family Environment, Behavior
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Johnson, Nicole; Veletsianos, George; Reitzik, Olga; VanLeeuwen, Charlene – Online Learning, 2022
Research on faculty use of technology and online education tends to be cross-sectional, focusing on a snapshot in time. Through a secondary analysis of the annual "Survey of Faculty Attitudes on Technology" conducted by "Inside Higher Ed" each year from 2013 through 2019, this study investigated changes in faculty attitudes…
Descriptors: College Faculty, Teacher Attitudes, Online Courses, Technology Uses in Education
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Page Jeffery, Catherine – Learning, Media and Technology, 2022
Discussions about computers and media technologies have long been infused with optimistic and future-focused rhetoric about their educational potential. Australian schools have the highest proportion of students using digital media in the OECD, and have implemented a range of ed-tech policies and programmes. Not everyone is satisfied with…
Descriptors: Foreign Countries, Parent Attitudes, Technology Uses in Education, Handheld Devices
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Handan Ürek – Journal of Science Education and Technology, 2024
Science education at different levels can be supported by various mobile applications that can be downloaded for free onto mobile phones, tablets, and other devices. Such applications can also be used in laboratory work, but it must be said that their use in science laboratories is a relatively new approach. This study is aimed at determining the…
Descriptors: Foreign Countries, Preservice Teacher Education, Preservice Teachers, Handheld Devices
Rebecca E. Houser – ProQuest LLC, 2024
During the school closures associated with COVID-19, researchers found student engagement decreased, partially due to the concurrent increase in the number of adolescents diagnosed with problematic internet use and internet addiction. At the time of this study, there was limited research related to student engagement after students returned to…
Descriptors: COVID-19, Pandemics, Influence of Technology, Grade 9
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Boxuan Ma; Li Chen; Shin’ichi Konomi – International Association for Development of the Information Society, 2024
Generative artificial intelligence (AI) tools like ChatGPT are becoming increasingly common in educational settings, especially in programming education. However, the impact of these tools on the learning process, student performance, and best practices for their integration remains underexplored. This study examines student experiences and…
Descriptors: Artificial Intelligence, Computer Science Education, Programming, Computer Uses in Education
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Mohamad Arief Rafsanjani; Albrian Fiky Prakoso; Eka Indah Nurlaili; Riza Yonisa Kurniawan; Wida Wulandari – Journal on Efficiency and Responsibility in Education and Science, 2023
As a developing country, Indonesia faces many obstacles in implementing online learning due to the lack of infrastructure and technical skills. The mandated online learning policy during the spread of the COVID-19 virus became a turning point and made massive use. However, the online learning policy raised unforeseen issues such as stress,…
Descriptors: COVID-19, Pandemics, Foreign Countries, Developing Nations
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