Metaverse revolution: A paradigm shift in skill enhancement DOI
Abhishek Choubey

Elsevier eBooks, Год журнала: 2025, Номер unknown, С. 113 - 122

Опубликована: Янв. 1, 2025

Investigating the moderating effects of social good and confidence on teachers' intention to prepare school students for artificial intelligence education DOI Creative Commons
Ismaila Temitayo Sanusi, Musa Adekunle Ayanwale, Thomas K. F. Chiu

и другие.

Education and Information Technologies, Год журнала: 2023, Номер 29(1), С. 273 - 295

Опубликована: Ноя. 6, 2023

Abstract Artificial Intelligence (AI) has triggered profound reforms across industries, including education. These developments necessitate the inclusion of AI as a subject in K-12 classrooms. However, need for students to learn demands that educators pay increasing attention, believe its relevance and intend promote it among their colleagues. This paper aimed explore teachers' perceptions behavioral intention teach AI. We specifically considered association anxiety, perceived usefulness, attitude towards AI, relevance, readiness, factors. research further aims examine moderator effect social good confidence on relationship our hypothesized model. To address this purpose, quantitative methodology with use structural equation modeling was utilized. Data were retrieved through an online questionnaire from 320 lower upper secondary school in-service teachers, mostly STEM-related fields. Our findings reveal teacher will affect most relationships Teacher professional programs should include benefits risks practice sharing.

Язык: Английский

Процитировано

23

ChatGPT adoption and its influence on faculty well-being: An empirical research in higher education DOI Creative Commons
Jesús Cambra‐Fierro, María Fuentes Blasco,

María-Eugenia Eugenia López-Pérez

и другие.

Education and Information Technologies, Год журнала: 2024, Номер unknown

Опубликована: Июль 4, 2024

Abstract Rapid technological advancements of recent decades have fueled, among other aspects, a global boom in the utilization artificial intelligence (AI) tools across variety areas. Higher education, like domains, has embraced these innovations, with ChatGPT emerging as one latest additions. Faculty perception, ability, and willingness to adopt new remain fundamental factors understanding their proliferation adoption. However, it’s equally important strike balance between reaping benefits technology safeguarding well-being faculty members. Against this backdrop, study assesses impact series on adoption university members, taking reference Technology Acceptance Model (TAM). Additionally, we analyze well-being. All hypotheses are tested using covariance-based structural equation modeling (CB-SEM). The findings highlight positive influence perceived usefulness, ease use enjoyment Moreover, seems boost faculty’ happiness energy, while diminishing stress levels. Theoretical practical implications discussed last section.

Язык: Английский

Процитировано

14

Electric mobility in an oil-producing developing nation: Empirical assessment of electric vehicle adoption DOI

Gibbson Adu‐Gyamfi,

Ama Nyarkoh Asamoah,

Bright Obuobi

и другие.

Technological Forecasting and Social Change, Год журнала: 2024, Номер 200, С. 123173 - 123173

Опубликована: Янв. 8, 2024

Язык: Английский

Процитировано

11

Digital Competence of Teachers and the Factors Affecting Their Competence Level: A Nationwide Mixed-Methods Study DOI Open Access
Adel R. Althubyani

Sustainability, Год журнала: 2024, Номер 16(7), С. 2796 - 2796

Опубликована: Март 27, 2024

Digital transformation opens up multiple opportunities for educators to achieve the continuity of learning through life, aligning with UNESCO’s fourth goal sustainable development, and prepare them digital age. Effective integration technology goes beyond using it its own sake; involves deepen students’ experiences. raises key questions about teachers’ competence. Building on DigCompEdu framework, current study aims uncover level competence science teachers their perceptions towards as well identify factors influencing this The adopted a mixed-methods approach utilizing sequential explanatory design. This design involved questionnaire which was administered sample 611 teachers, while semi-structured interview applied 13 teachers. results indicate that medium (58.4%). also revealed had high-level positive use technologies (78%). Furthermore, perceived usefulness subjective norms directly influence identifies benefits challenges encounter in implementing educational environment. focus enhancing motivation assessing experiences, communicating community, continuousness e-learning. challenges, however, include acceptance by community; cognitive skill-related faced teachers; administrative teaching burdens; limited access tools; related student behaviors. As result, set recommendations implications are proposed policymakers, curriculum professional development program designers, researchers, practitioners.

Язык: Английский

Процитировано

9

TPACK-SAMR digital literacy competence, technostress, and teaching performance: Correlational study among EFL lecturers DOI Creative Commons
Afif Ikhwanul Muslimin, Nur Mukminatien, Francisca Maria Ivone

и другие.

Contemporary Educational Technology, Год журнала: 2023, Номер 15(2), С. ep409 - ep409

Опубликована: Янв. 31, 2023

This study aimed to scrutinize the correlation between English as a foreign language (EFL) lecturers’ digital literacy competence (DLC) based on TPACK-SAMR framework and their technostress. In addition, this revealed how variables correlated EFL teaching performances. Therefore, correlational design with descriptive explanation model was conducted. The participants were six lecturers from different universities in various cities East Java Province, Indonesia. data collected by administering DLC technostress questionnaires, conducting semi-structured interview, documenting scenarios. results showed that most more confident pedagogical knowledge content knowledge. They claimed it hard mingle them into harmonious performances technology challenged achieve higher level. Relevant finding, had negative ‘very high’ technostress, shown -.824 Pearson coefficient. Henceforth, reflected minimum operation of technology, according SAMR stages, mediate substituting augmenting technology. highlights importance training escalate positive outcomes minimize

Язык: Английский

Процитировано

21

Utilizing Virtual Laboratory to Improve CNC Distance Learning of Vocational Students at Higher Education DOI Open Access
Febri Prasetya, Budi Syahri,

Bayu Rahmadhani Fajri

и другие.

TEM Journal, Год журнала: 2023, Номер unknown, С. 1506 - 1518

Опубликована: Авг. 28, 2023

This research develops learning materials for Computer Numerical Control (CNC) programming courses based on virtual reality technology. The impact of the Covid-19 pandemic social activities, one which is educational aspect, has changed pattern to a massive where process that should be carried out face-to-face, but now must carry distance learning. Therefore, alternative media needed support practicum from by utilizing technology simulated using digital devices. Software engineering models, namely: requirements, design, implementation, verification, and maintenance phases are five primary stages used in this study, uses waterfall development model method. feasible laboratory obtained results material validation, media, small group trials 12 diploma students Mechanical Engineering at Universitas Negeri Padang. findings study found CNC can successfully utilized courses. expected have implications improving outcomes creating conducive quality atmosphere, so provided accepted students.

Язык: Английский

Процитировано

21

An Investigation of Nurses' Perceptions of the Usefulness and Easiness of Using Electronic Medical Records in Saudi Arabia: A Technology Acceptance Model DOI Creative Commons
Anas Alhur

Indonesian Journal of Information Systems, Год журнала: 2023, Номер 5(2), С. 30 - 42

Опубликована: Фев. 23, 2023

Abstract. EMRs play an essential role in documenting clinical information. Nurses are integral to the success of EMR implementation, as they largest group employees a hospital and provide patient care. A major factor implementation is nurses' acceptance system. This study designed measure willingness use practice, determine factors influencing documentation gain understanding perspective on encourage adoption other health facilities Saudi Arabia. included nurses from Hail General Hospital, Maternity Children King Khalid Hospital. Study results indicate that perceived usefulness ease strongly correlated, resulting greater EMRs. According results, willing Our result shows overall, find useful their jobs, with 40.9% agreeing 24.4% agreeing. Whereas overall easiness was 9.4% agreed 24 agreed. need be prepared for demanding workplace through nursing curriculum. Nursing students professionals should understand importance ensuring high-quality, effective, efficient It imperative continuously improve computer skills keep up technological advancements.

Язык: Английский

Процитировано

16

The role of 21-century digital competence in shaping pre-service language teachers’ 21-century digital skills: the Partial Least Square Modeling Approach (PLS-SEM) DOI
Amir Reza Rahimi, Zahra Mosalli

Journal of Computers in Education, Год журнала: 2024, Номер unknown

Опубликована: Янв. 6, 2024

Язык: Английский

Процитировано

6

Informal digital learning of English and EFL teachers’ job engagement: Exploring the mediating role of technological pedagogical content knowledge and digital competence DOI
Afsheen Rezai, Ali Soyoof, Barry Lee Reynolds

и другие.

System, Год журнала: 2024, Номер 122, С. 103276 - 103276

Опубликована: Март 20, 2024

Язык: Английский

Процитировано

6

Understanding Teachers’ Perspective toward ChatGPT Acceptance in English Language Teaching DOI Open Access
Heppy Mutammimah, Sri Rejeki, Siti Kustini

и другие.

International Journal of Technology in Education, Год журнала: 2024, Номер 7(2), С. 290 - 307

Опубликована: Март 30, 2024

Adapting the Technology Acceptance Model (TAM) framework, this study investigates English teachers' perspectives on intention to adopt and integrate ChatGPT in their classrooms. This utilizes quantitative cross-sectional research with 114 respondents answering online questionnaire. The Structural Equation Modeling (SEM) statistical analysis through SmartPLS 3.0 was employed analyze collected data. result indicates that proposed TAM model can predict acceptance language teaching. Additionally, structural showed perceived usefulness, ease of use, attitude toward using significantly positively influenced behavioral intention. Furthermore, impacted actual system use. Teachers' uptake integration into learning are critical technological innovation. paper could assist teachers Indonesia comparable regions understanding adopting

Язык: Английский

Процитировано

6