Students' attitudes towards learning in the context of digitalization: Resources and risks DOI Creative Commons
Tatyana Shcherbakova, Dinamutdin Misirov, Marina Akopyan

и другие.

BIO Web of Conferences, Год журнала: 2024, Номер 138, С. 04032 - 04032

Опубликована: Янв. 1, 2024

The paper provides an analytical review of studies on the problem resources and risks digitalization professional training system. article considers use information interaction in network process engineering specialists as a factor their personal growth. content students' ideas about features self-realization new conditions digital environment is identified systematized. attitudes to learning context are shown. presents main results empirical study methods selfpresentation, motivation obstacles achieving success multi-level formats educational environment. specifics advantages limitations Personal, cognitive, communicative, social didactic technologies described. indicate that students consider resource space opportunities vectors self-realization, while adequately assessing learning. A model psychological support for student subject selfrealization proposed.

Язык: Английский

Factors of online learning engagement and their impact on value co-creation among students: a structural equation modelling approach DOI
Anjali Singh,

Azra Ishrat,

Tripti Barthwal

и другие.

On the Horizon The International Journal of Learning Futures, Год журнала: 2025, Номер unknown

Опубликована: Март 13, 2025

Purpose The study aims to identify the key factors influencing online learning engagement and explore their impact on value co-creation among students. It seeks offer insights into enhancing student experiences in digital education environments. Design/methodology/approach This uses a quantitative research design, using structural equation modelling (SEM) analyse data collected via structured questionnaire. Participants were graduate students from tier 1 cities India, representing diverse academic disciplines. focuses four dimensions of engagement: behavioural, cognitive, emotional social. SEM was used investigate relationships between factors, motivation learning. Findings results reveal that behavioural social (SE) are strong positive predictors motivation, fostering active participation sense community. Conversely, cognitive negatively correlates with highlighting need manage these avoid decreasing carefully. Research limitations/implications is limited India. Further could groups across educational contexts validate results. highlights for balanced approach design. Practical implications Educators administrators can use findings design more engaging motivating Emphasis SE, alongside managing aspects, lead enhanced better settings. Social emphasises importance community building environments, which improve students’ experience outcomes. Promoting through interaction may help bridge gaps connectivity, particularly remote contexts, contributing inclusive supportive environment. Originality/value offers novel relationship different co-creation. Using SEM, presents robust framework understanding how influence outcomes, adding strategies effective experiences.

Язык: Английский

Процитировано

0

Digital dynamos: Technological readiness and online learning self-efficacy of fitness and sports majors in a State University in the Philippines DOI Creative Commons
Joseph Lobo

Sportis Scientific Journal of School Sport Physical Education and Psychomotricity, Год журнала: 2025, Номер 11(2), С. 1 - 22

Опубликована: Апрель 1, 2025

There has been a plethora of research on technological readiness and online learning self-efficacy across several fields in recent years. While some shown correlation between the two, vast majority investigations have inverse. Additionally, fitness sports higher education is lacking, particularly Philippines. In this study, 256 exercise science students from selected state university are surveyed to better understand nature connection TR OLSE. Furthermore, study used correlational analysis such as Pearson’s r multiple regression find out how four constructs OLSE were related each other. The results showed that significantly one another. Optimism, insecurity, inventiveness, discomfort—the dimensions—are also positively associated Results suggest students’ might be substantially enhanced if they more likely make advantage state-of-the-art resources made available through platforms. Herein proposed recommendations initiatives for further study.

Язык: Английский

Процитировано

0

The effects of self-efficacy, teacher support, and positive academic emotions on student engagement in online courses among EFL university students DOI
Oqab Alrashidi, Sultan Hammad Alshammarı

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

Опубликована: Ноя. 11, 2024

Язык: Английский

Процитировано

3

AI Advocates and Cautious Critics: How AI Attitudes, AI Interest, Use of AI, and AI Literacy Build University Students' AI Self-Efficacy DOI Creative Commons
Arne Bewersdorff,

Marie Hornberger,

Claudia Nerdel

и другие.

Computers and Education Artificial Intelligence, Год журнала: 2024, Номер unknown, С. 100340 - 100340

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

3

Exploring the impact of digital literacy on the self-efficacy of maritime education faculty DOI Open Access
Richard R. Cabaron

International Journal of ADVANCED AND APPLIED SCIENCES, Год журнала: 2024, Номер 11(7), С. 176 - 181

Опубликована: Июль 1, 2024

The maritime industry is continually evolving, requiring educators in this field to be proficient both technical knowledge and digital skills. This study aims assess the competence self-efficacy of education faculty, recognizing importance these skills enhancing job performance. Using a descriptive-correlation analysis, research underscores need for improve their abilities increase confidence teaching effectiveness. highlights positive effects among educators, ultimately leading better educational outcomes students sector. It recommended that faculty focus on improving information data literacy, communication collaboration, content creation, safety. Additionally, should develop problem solving excel all areas education. By continuously skills, will prepared provide high-quality instruction prepare success ever-changing industry.

Язык: Английский

Процитировано

1

Predicting online learning experiences in sports education during the COVID-19 pandemic: Implications for pedagogical strategies DOI Creative Commons
Ran An, Abdullah Addas, Nadia Rehman

и другие.

Heliyon, Год журнала: 2024, Номер 10(17), С. e37159 - e37159

Опубликована: Авг. 31, 2024

This research aims to assess the predictors that impact online learning experiences (OLEs) of undergraduate sports students amid Coronavirus Disease 2019 (COVID-19) outbreak utilizing Community Inquiry (CoI) framework. An survey was employed using cluster sampling method systematically examine associations among variables related OLE students. A sample size 402 from two universities in China chosen and surveyed. Exploratory factor analysis conducted validity questionnaires model adequacy. Finally, a multiple linear regression performed explore study constructs. The results revealed open communication, social presence, design organization, facilitation possess significant potential predicting students' OLE. demonstrates paramountcy transparent directs focus towards indispensability fostering sense reception admiration students, highlights educators' sway shaping their holistic positive educational encounters. scalability our its contribute valuable insights for developing national-level policies strategies this demographic.

Язык: Английский

Процитировано

1

The effects of peer interaction on learning outcome of college students in digital environment—The chain-mediated role of attitude and self-efficacy DOI Creative Commons

Fangfang Pan,

Guangxing Zhu,

Wenjie Sui

и другие.

Studies In Educational Evaluation, Год журнала: 2024, Номер 83, С. 101404 - 101404

Опубликована: Сен. 14, 2024

Язык: Английский

Процитировано

1

The Influence of AI Literacy on User's Trust in AI in Practical Scenarios: A Digital Divide Pilot Study DOI

Kuo‐Ting Huang,

Christopher Ball

Proceedings of the Association for Information Science and Technology, Год журнала: 2024, Номер 61(1), С. 937 - 939

Опубликована: Окт. 1, 2024

ABSTRACT This study explores the impact of Artificial Intelligence (AI) literacy on trust in AI across critical sectors, including transportation, healthcare, and social relationships. An online survey 300 participants was conducted to examine levels six practical application scenarios. The findings revealed that individuals with advanced consistently demonstrate higher all In contrast, those intermediate exhibit more skepticism, particularly high‐stakes contexts such as transportation healthcare. result indicates disparities can significantly shape levels, context use matters. Therefore, targeted educational programs are needed improve literacy, rectify misconceptions, promote broader acceptance technologies. Further research should expand demographic scope further validate these optimize initiatives for inclusive equitable integration.

Язык: Английский

Процитировано

1

Los problemas tecno-éticos en la inteligencia artificial generativa DOI Creative Commons
Manuel Alejandro Gutiérrez González, Andrés Ocádiz Amador

Razón y Palabra, Год журнала: 2024, Номер 28(119), С. 15 - 27

Опубликована: Апрель 30, 2024

La inteligencia artificial tiene un gran impacto en la actualidad, tanto vida personal como social. El objetivo principal de esta investigación es identificar los retos específicos que plantea Inteligencia Artificial Generativa el ámbito educación, así una reflexión sobre discernimiento ético uso estas tecnología emergentes a cuales nos están llevando futuros digitales. Para poder llegar este punto, metodología empleamos modelo realista con corte naturalista metodológico moderado, esto significa realidad puede ser conocida por cualquier método, implicaciones normativas y existe independencia del agente moral para alcanzar objetividad. En concreto, perspectiva ética emplearemos tiene, elemento natural humano, rostro condición posibilidad moralidad gracias segunda persona. Es ello considerado punto partida objetivo. Encontramos si no las inteligencias artificiales generativas, lleva desconocimiento su funcionamiento dificulta vivencia moral; además, impide florecimiento través desarrollo virtudes intelectuales. Por eso, consideramos necesaria alfabetización digital, lograr pleno alumno.

Процитировано

0

Analysis of factors influencing medical students’ learning engagement and its implications for teaching work—— a network analysis perspective DOI Creative Commons
Yijun Li, Lin Wu, Fengzhan Li

и другие.

BMC Medical Education, Год журнала: 2024, Номер 24(1)

Опубликована: Авг. 24, 2024

Higher medical education has always been a major project in the fields of and health, therefore, quality received much attention. Learning engagement emerged as significant indicator teaching quality, attracting considerable research This study aims to explore relationship between students' learning their sense school belonging, professional identity, academic self-efficacy. We conducted an online survey using convenience sampling method with 311 students. employed Revised version Utrech Work Engagement Scale-Student (UWES-S), Chinese Psychological Sense School Membership (PSSM) scale, Academic Self-Efficacy Scale, questionnaire college speciality identity for evaluation. Network analysis was used analyze relationships among these factors. Medical overall performance showed positive trend. However, there is still room improvement. In network structure its influencing factors, "emotional" aspect (EI = 1.11) considered be important node strong centrality. And "academic competence self-efficacy" self-efficacy (BEI 0.72) transitivity. Deepening emotional identification profession enhancing confidence abilities may improve educational quality.

Язык: Английский

Процитировано

0