Exploring the Digital Literacy Levels of Junior High School Indonesian Language Teachers: A DigCompEdu Perspective DOI Open Access

Gusti Putu Arya Arimbawa,

I Made Indra Adhi Wikanta,

Iman Sumarno

и другие.

Jurnal Edutech Undiksha, Год журнала: 2024, Номер 12(2), С. 322 - 333

Опубликована: Дек. 25, 2024

The advancement of digital technology requires educators to possess adequate literacy effectively integrate into the teaching and learning process. However, among subject teachers varies widely special attention, especially in maximizing use support educational practices. This study aims provide an overview levels Indonesian language at junior high school level. research employed a qualitative method with online survey involving 72 teachers, selected through cluster-quota sampling technique. instrument was questionnaire adapted from DigCompEdu model, comprising 22 core statements 13 additional questions explore sample’s characteristics environment. Data were analyzed by comparing percentage scores each aspect within model. results showed that most reached B1: Integrator level literacy, reflecting their ability teaching. Teachers predominantly used technologies such as presentation media when subjects. also identified several areas for improvement, including reflective practice, resource selection, teaching, evidence analysis, differentiation personalization, communication skills. concludes emphasizing importance continuous development enable maximize potential education.

Язык: Английский

From Technology‐Challenged Teachers to Empowered Digitalized Citizens: Exploring the Profiles and Antecedents of Teacher AI Literacy in the Chinese EFL Context DOI Open Access
Ziwen Pan, Yongliang Wang

European Journal of Education, Год журнала: 2025, Номер 60(1), С. 1 - 16

Опубликована: Янв. 27, 2025

ABSTRACT Artificial Intelligence (AI) literacy has come to the spotlight, empowering individuals adeptly navigate modern digitalised world. However, studies on teacher AI in English as a Foreign Language (EFL) context remain limited. This study aims identify intraindividual differences and examine its associations with age years of teaching experience among 782 teachers. Given absence reliable instrument measure literacy, we first constructed validated scale encompassing five sub‐scales: Knowledge , Use Assessment Design Ethics . Subsequently, latent profile analysis (LPA) was conducted using Mplus 7.4, results revealing four distinct profiles: Poor (C1: 12.1%), Moderate (C2: 45.5%), Good (C3: 28.4%), Excellent (C4: 14.1%). Multinomial logistic regression analyses indicated significant between both experience. Additionally, 32 respondents participated semi‐structured interviews. The qualitative data analysed MAXQDA 2022 triangulated quantitative offered deeper insights into teachers’ perceptions their literacy. provides theoretical practical implications for understanding Chinese EFL context.

Язык: Английский

Процитировано

3

Teacher Emotion and AI: Current Status, Theories, and Prospects DOI

Fengrui Ci,

Lianjiang Jiang

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Analyzing factors influencing students’ decisions to adopt smart classrooms in higher education DOI
Long Kim,

Rungrawee Jitpakdee,

Wasin Praditsilp

и другие.

Education and Information Technologies, Год журнала: 2025, Номер unknown

Опубликована: Янв. 28, 2025

Язык: Английский

Процитировано

0

Integrating AI in Special Education and Instructional Design DOI
Rohan Jowallah,

Grace Kaletski Maisel G.

Advances in educational technologies and instructional design book series, Год журнала: 2025, Номер unknown, С. 203 - 220

Опубликована: Фев. 6, 2025

Education has greatly changed in the last 20 years, especially previous five with AI learning and teaching. This change affected both instructional design special education opened new possibilities for personalization, accessibility, efficiency education. The book chapter will explore how can improve to create inclusive effective environments. authors review basics challenges of then discuss enhance them. In education, AI-powered tools applications such as assistive technologies, personalized platforms, adaptive systems help students needs their outcomes experiences (Kumar, 2023). Within an framework, also capability provide real-time feedback pathways, thereby making more efficient effective.

Язык: Английский

Процитировано

0

Adopting AI in education: optimizing human resource management considering teacher perceptions DOI Creative Commons
Iuliana Petronela Gârdan,

Magdalena Beatrice Manu,

Daniel Adrian Gârdan

и другие.

Frontiers in Education, Год журнала: 2025, Номер 10

Опубликована: Фев. 19, 2025

There is an intense concern in various fields, order to quantify the most complete and explicit way impact that accelerated development of technology basis AI has on education. A very special issue this context represented by teaching methods techniques used teachers. Still, develop refine new based necessary perceptions attitudes toward general its application education become positive people be open experiences using it. The present research explores how different variables like perception towards inclusion Generative tools within materials development, degree familiarity, challenges implementation education, importance process, resilience change can influence perceived utility fostering attitude it usage intention among results are showing exerted above assessed empirical model explain teachers use effectively at levels didactic activity. Implications level human resources management also discussed.

Язык: Английский

Процитировано

0

From “scenario” to “situation”: How digital situational perception influence digital literacy of University students DOI

Guangxing Zhu,

Fangfang Pan,

Mengyun Fu

и другие.

Innovations in Education and Teaching International, Год журнала: 2025, Номер unknown, С. 1 - 18

Опубликована: Март 6, 2025

Язык: Английский

Процитировано

0

The Status and Influencing Factors of Intention to Adopt Artificial Intelligence (AI) Technology in Teaching Process among Medical Teachers DOI

茜茜 杨

Statistics and Applications, Год журнала: 2025, Номер 14(03), С. 75 - 83

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Exploring the factors influencing the adoption of artificial intelligence technology by university teachers: the mediating role of confidence and AI readiness DOI Creative Commons
Nannan Liu

BMC Psychology, Год журнала: 2025, Номер 13(1)

Опубликована: Март 27, 2025

This study aims to explore the mediating role of confidence and artificial intelligence (AI) readiness in university teachers' behavioral intention adopt AI technology, providing empirical support for enhancing willingness use technology from both theoretical practical perspectives. used a random sampling method conduct an online survey 504 teachers, assessing impact subjective norms on intention. The included scales norms, confidence, readiness, Data analysis was performed using AMOS 26, SPSS Statistics 27 software Model 6 PROCESS 4.0 plugin, aiming investigate between Subjective were found have significant positive correlation with indirectly influenced through or readiness. Confidence played chain-mediating relationship (β = 0.0324, 95% CI: [0.0129, 0.0551]), accounting 12.87% total effect. reveals indicating that not only directly enhance but also exert indirect effects single chain mediation findings highlight critical intention, suggesting effectively increase it is important focus improving their thereby strengthening norms.

Язык: Английский

Процитировано

0

Analysis of the Influence of Perception and Operational Services on Electric Car Purchase Decisions in Jabodetabek DOI

Igleysias Rheinhart Hutabarat,

Dewi Nusraningrum

Опубликована: Янв. 31, 2025

Objective: The purpose of this study is to examine how attitudes, subjective norms, behavioral control, perceived utility, and convenience use, as mediated by operational services, affect decisions buy electric cars in the Jabodetabek region.Methodology: This falls under area quantitatively based explanatory research. Customers who deal with different brands automobiles make up research population. 105 responders made sample analysis. Smart PLS software version 3.0 was used analyze data using Structural Equation Modeling (SEM) approach.Results: results demonstrate that people's purchase vehicles are considerably favorably influenced their usefulness. However, norms ease use do not have a favorable significant impact on decision purchase. Furthermore, even while services thought be more than sufficient, they neither mediate nor relationship between an car attitude, use.Conclusion: Operational cannot usefulness, control decisions. remain important aspect ensure consumer satisfaction.

Язык: Английский

Процитировано

0

Analysis of influencing factors on teachers' AI literacy under the SOR framework: An empirical study based on PLS-SEM and fsQCA DOI
Yimin Ning,

Hanyi Zheng,

Hsin‐Kai Wu

и другие.

Education and Information Technologies, Год журнала: 2025, Номер unknown

Опубликована: Март 31, 2025

Язык: Английский

Процитировано

0