COMPREHENSIVE SYSTEMATIC REVIEW ON MOBILE LEARNING IN HIGHER EDUCATION DOI Open Access

Shazana Mustapa,

Asnul Dahar Minghat, Hafiza Abas

и другие.

International Journal of Modern Education, Год журнала: 2023, Номер 5(19), С. 99 - 115

Опубликована: Дек. 12, 2023

As mobile technologies continue to make their way into every part of modern life, it is important systematically study the literature investigate many different aspects M-learning in higher education. The primary aim this prevailing trends learning (M-learning) within education sector, specifically focusing on period from 2021 2023. intention furnish fellow researchers with up-to-date insights current landscape trends. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework provide Literature Review (SLR) methodological rigor quality assurance. Using two digital libraries, SCOPUS Web Science, 29 articles were ultimately analyzed. This systematic review discusses trend 4 themes: Acceptance Adoption Mobile Learning, factors Influencing Perceptions Attitudes towards effectiveness learning. presents that becoming more important. It sheds light what makes people accept M-learning, how perceptions play a part, affects academic performance. Suggestions future are focus new technologies, making easier students disabilities use, cultural factors, environmental effects.

Язык: Английский

Toward a conceptual framework on mobile information literacy in higher education DOI Creative Commons
María Pinto, Alicia Segura

The Journal of Academic Librarianship, Год журнала: 2025, Номер 51(3), С. 103051 - 103051

Опубликована: Апрель 10, 2025

Язык: Английский

Процитировано

0

Factors Influencing the Behavioral Intention to Use Mobile Learning Platform in Higher Education of Changsha, China DOI Creative Commons
Xiaohan Ma, Changhan Li

International Journal of Sociologies and Anthropologies Science Reviews, Год журнала: 2025, Номер 5(1), С. 821 - 836

Опубликована: Янв. 23, 2025

Background and Aim: This study explored the factors that influenced student behavioral intention regarding mobile learning platforms. The latent variables investigated in include system quality (SQ), service (SVQ), information (IQ), perceived usefulness (PU), satisfaction (SA), attitude (ATT), (BI). objective of research is to determine extent which each variable influences use Materials Methods: surveyed 500 undergraduate students at a public university Changsha, China, about their views on data were analyzed using structural equation modeling (SEM) confirmatory factor analysis (CFA). Results: results revealed hypothesized path was statistically significant, indicating strong direct relationships between model. Notably, exerted greatest influence usefulness. findings underscore importance these enhancing effective platforms higher education, boosting intentions. study's strengths its robust sample size advanced statistical techniques like SEM CFA, provide rigorous assessment model's validity. However, limitations focus single university, may not fully represent diverse experiences across different institutions. Additionally, while highlights critical influencing learning, it does address potential barriers or challenges might face, such as technological issues varying levels digital literacy. Future could explore aspects more comprehensive understanding platforms' effectiveness.

Язык: Английский

Процитировано

0

M-Learning and Open Educational Resources in Higher Education Are Significant to Women’s Empowerment: An Insight from National Education Policy-2020 DOI Open Access
Aznarul Islam,

Chitra Roy

Higher Education Research, Год журнала: 2025, Номер 10(1), С. 41 - 47

Опубликована: Фев. 21, 2025

Education is the essential element for unleashing all of human potential. Since no nation can claim to be developed if half its citizens are incapacitated in terms education and skills, women's a perennial global concern. After 34 years, India's educational policy has changed with implementation National Policy 2020 (NEP). In addition aiming achieve universal India equal participation women, this new strategy plans reach 100% gross school enrolment by 2030. The provision calls creation special zones gender inclusion fund support fair disadvantaged girls. government always trying make open resources (OER) initiatives better more advanced. order empowerment women our country, study aims critically assess importance OERs, mobile learning, associated concerns within NEP framework. use OERs scope existing M-Learning system examined through contextual analysis. outcome supports assertion that m-learning one main alternative teaching methods students will have access both now future. Indian government's OER being improved. This helps policymakers understand current trends (OERs) provides some suggestions improving NEP, identifies few gaps should addressed going forward. present descriptive nature based on comprehensive investigation secondary data retrieved from related research papers, books, websites, databases, etc. findings suggest transformation emphasis skilled vital component New context demands.

Язык: Английский

Процитировано

0

Self-Regulated and Mobile-Mediated Learning in Blended Tertiary Education Environments: Student Insights from a Pilot Study DOI Open Access
Κλεοπάτρα Νικολοπούλου

Sustainability, Год журнала: 2023, Номер 15(16), С. 12284 - 12284

Опубликована: Авг. 11, 2023

Despite the rapid rise in number of blended education studies after COVID-19 pandemic, topics self-regulated and mobile-mediated learning tertiary environments is an open research issue. The purpose this pilot study to identify students’ perceived enablers/facilitators barriers environments. Nineteen undergraduate postgraduate students were interviewed Greece, data analyzed through descriptive analysis. According findings, most participants believed that helps their autonomy when they are facilitated by ownership of, ease use, familiarity with mobile devices. Major enablers/facilitators, but also to, contexts course structure (mainly, online component education, appropriateness activities, educational material), individual (educators’ knowledge, skills, confidence, attitudes, concerns) technological (infrastructure internet connectivity) factors. Students’ expectations concerning courses associated organization (e.g., provision alternative possibilities, balance between face-to-face digital/online access various teaching material/tools) role teachers. Implications for students, educators university policy practice discussed.

Язык: Английский

Процитировано

10

Integrating TAM and ISSM Theories to Investigate Social Media Factors on Students' Satisfaction and Academic Performance DOI

Leticia Lennita,

Andreas Raharto Condrobimo,

Sevenpri Candra

и другие.

Опубликована: Янв. 28, 2024

Based on the emerging students' usage of social media in numerous nations, including Indonesia, Microsoft Forms was used to gather data from 410 respondents, and SmartPLS 4.0 applied analysis accordance with research criteria. The questionnaire distributed November 2023, survey results showed that two hypotheses were rejected, specifically terms system quality perceived ease use utilizing for educational purposes. Meanwhile, others accepted had, directly or indirectly, a substantial effect academic achievement satisfaction students.

Язык: Английский

Процитировано

1

Can Multimodal Large Language Models Enhance Performance Benefits Among Higher Education Students? An Investigation Based on the Task–Technology Fit Theory and the Artificial Intelligence Device Use Acceptance Model DOI Open Access
Amany Ahmed Al-Dokhny, Omar A. Alismaiel,

Samia Youssif

и другие.

Sustainability, Год журнала: 2024, Номер 16(23), С. 10780 - 10780

Опубликована: Дек. 9, 2024

The current study highlights the potential of multimodal large language models (MLLMs) to transform higher education by identifying key factors influencing their acceptance and effectiveness. Aligning technology features with educational needs can enhance student engagement learning outcomes. examined role MLLMs in enhancing performance benefits among students, using task–technology fit (T-TF) theory artificial intelligence device use (AIDUA) model. A structured questionnaire was used assess perceptions 550 Saudi university students from various academic disciplines. data were analyzed via structural equation modeling (SEM) SmartPLS 3.0. findings revealed that social influence negatively affected effort expectancy regarding hedonic motivation also related expectancy. for MLLMs. Effort associated T-TF context. In contrast, task characteristics significantly influenced T-TF, which positively impacted both willingness accept strong relationship found between adoption improved benefits. empower educators strategically strategically, driving transformative

Язык: Английский

Процитировано

1

Beyond Pen and Paper: Understanding the Landscape of Digital Assessment in Stem Higher Education DOI
Thelugu Novah Mary Guruloo, Kamisah Osman

Lecture notes in educational technology, Год журнала: 2024, Номер unknown, С. 177 - 197

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0

Educational Quality and Satisfaction of Student Needs at a Triple-Border University in Latin America: Pandemic Versus Post-pandemic DOI
Gretty Paola Rossi-Esteban, Ben Yusef Yábar,

Andrea Paola Menéndez-Rossi

и другие.

Contributions to finance and accounting, Год журнала: 2024, Номер unknown, С. 377 - 386

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0

Assessing the sustainability of university information systems using the D&M IS Success Model DOI Creative Commons

Wen Haimeng,

Hua Zhang, Meng Chen

и другие.

Research Square (Research Square), Год журнала: 2023, Номер unknown

Опубликована: Сен. 13, 2023

Abstract The majority of prominent universities globally have either established or are currently in the process establishing information systems (ISs) that incorporate a range applications. Nonetheless, significant proportion lacks clear comprehension sustainability success their University Information Systems (UIS). On basis D&M Model, revised measurement model for assessing UIS along three dimensions is proposed: quality, satisfaction, as well usage intention. Furthermore, findings indicate substantial support eight out twelve hypothesized relationships among variables. Particularly, frequency use significantly correlated with users' perceptions system quality and Based on our analysis, it has been indicated both play crucial roles determining intention to satisfaction users UIS, which fundamental attaining long-term sustainability. Notwithstanding, may not be remarkable, while service only minor impact user satisfaction.

Язык: Английский

Процитировано

0

COMPREHENSIVE SYSTEMATIC REVIEW ON MOBILE LEARNING IN HIGHER EDUCATION DOI Open Access

Shazana Mustapa,

Asnul Dahar Minghat, Hafiza Abas

и другие.

International Journal of Modern Education, Год журнала: 2023, Номер 5(19), С. 99 - 115

Опубликована: Дек. 12, 2023

As mobile technologies continue to make their way into every part of modern life, it is important systematically study the literature investigate many different aspects M-learning in higher education. The primary aim this prevailing trends learning (M-learning) within education sector, specifically focusing on period from 2021 2023. intention furnish fellow researchers with up-to-date insights current landscape trends. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework provide Literature Review (SLR) methodological rigor quality assurance. Using two digital libraries, SCOPUS Web Science, 29 articles were ultimately analyzed. This systematic review discusses trend 4 themes: Acceptance Adoption Mobile Learning, factors Influencing Perceptions Attitudes towards effectiveness learning. presents that becoming more important. It sheds light what makes people accept M-learning, how perceptions play a part, affects academic performance. Suggestions future are focus new technologies, making easier students disabilities use, cultural factors, environmental effects.

Язык: Английский

Процитировано

0