Harnessing the integration of chat GPT in higher education: the evaluation of stakeholders sentiments using NLP techniques DOI Creative Commons
Abdulaziz Altamimi

Discover Sustainability, Journal Year: 2024, Volume and Issue: 5(1)

Published: Dec. 21, 2024

Abstract Educational settings are gradually adopting Chatgpt for various purposes, but the effects it generates different users have not received enough attention. This research study aims to fill a gap in existing literature by evaluating perceived attitudes of participants, including teachers, students, and administrators, towards use learning. We employed convenience sampling approach gather data from 500 which included 200 150 administrators settings. collected through structured interviews social media analysis conducted sentiment using text mining natural language processing (NLP). found that 72% 63% 75% positive attitude Chatgpt, whereas 18, 22, 17% neutral attitude, 10, 15, 8% negative it. supervised learning techniques classification methods such as VADER Text Blob. These results demonstrate high overall acceptance rate particularly among potentially due their interest tool’s potential enhance educational experiences administrative processes. is unique because focuses on multiple stakeholders combines quantitative survey with qualitative media. The findings provide relevant recommendations legislative bodies intend incorporate AI-transforming tools, into curricula management systems. score indicates most willing keen adopt artificial intelligence (AI) technologies institutions.

Language: Английский

The Adoption of Open Source Software Among Universities in Iraq: The Moderating Role of AI Capability DOI Creative Commons
Mustafa Moosa Qasim,

Ali Raad Abdulkareem,

Radhwan Sneesl

et al.

Human Behavior and Emerging Technologies, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

Open source software (OSS) is a trendy innovation that being used by all organizations. However, the usage of OSS still limited in higher education. This research examines adoption among universities Iraq, focusing on moderating role artificial intelligence (AI) capabilities. The aimed at exploring how factors such as perceived ease use (PEOU), compatibility, risk, security, and cost‐effectiveness influence adoption. Using quantitative methodology, data was collected from 272 university decision‐makers analysed using Smart PLS 4. results study indicate PEOU, have significant positive OSS. findings provide valuable insights for settings who are grappling with intricate process adopting These offer education institutions Iraq other developing regions seeking to adopt

Language: Английский

Citations

0
The Impact of Artificial Intelligence on Personalized Learning in Higher Education: A Systematic Review DOI Creative Commons
Carlos Merino-Campos

Trends in Higher Education, Journal Year: 2025, Volume and Issue: 4(2), P. 17 - 17

Published: March 26, 2025

The integration of artificial intelligence in education has the potential to revolutionize personalized learning by adapting instructional methods, content, and pace individual needs students. This systematic review investigates into within higher education. An extensive literature search was conducted across multiple databases, yielding 17,899 records from which 45 studies met inclusion criteria. risk bias assessed using a standardized ranking system. follows PRISMA guidelines ensure transparency study selection, data extraction, synthesis. findings are synthesized examine how AI-driven solutions enhance adaptive learning, improve student engagement, streamline administrative processes. results indicate that AI technologies can significantly optimize educational outcomes tailoring content feedback learner needs. However, several challenges persist, such as ethical concerns, privacy issues, necessity for effective teacher training support technology integration. analysis reveals considerable transform practices, while also emphasizing importance establishing evaluation frameworks conducting longitudinal studies. implications these critical educators, policymakers, university administrators aiming leverage innovation sustainable transformation.

Language: Английский

Citations

0
A MCDM-Based Analysis Method of Testability Allocation for Multi-Functional Integrated RF System DOI Open Access

Chao Zhang,

Yiyang Huang,

Dingyu Zhou

et al.

Electronics, Journal Year: 2024, Volume and Issue: 13(18), P. 3618 - 3618

Published: Sept. 12, 2024

The multi-functional integrated RF system (MIRFS) is a crucial component of aircraft onboard systems. In the testability design process, traditional methods cannot effectively deal with inevitable differences between designs and usage requirements. By considering MIRFS’s full lifecycle characteristics, new allocation method based on multi-criteria decision-making (MCDM) proposed in this paper. Firstly, framework was constructed more than 100 indicators were given, which included both different system-level inter-system indicators. Secondly, to manage parameter diversity calculate complexity, basic 12 optimized through Analytic Hierarchy Process Technique for Order Preference by Similarity Ideal Solution (AHP-TOPSIS) method. Thirdly, detailed parameters obtained using Decision-Making Trial Evaluation Laboratory Network (DEMATEL-ANP) reduce subjectivity uncertainty. Finally, an example utilized, results show that MCDM significantly better terms accuracy effectiveness, will provide scientific basis MIRFS process.

Language: Английский

Citations

1
Enhancing Academic Writing in a Linguistics Course with Generative AI: An Empirical Study in a Higher Education Institution in Hong Kong DOI Creative Commons
Lixun Wang,

Boyuan Ren

Education Sciences, Journal Year: 2024, Volume and Issue: 14(12), P. 1329 - 1329

Published: Dec. 4, 2024

The advent of generative artificial intelligence (AI) has transformed information acquisition and utilization in higher education academic writing. This study fills the empirical research gap by examining how university students use AI tools for digital investigates experiences 140 undergraduates enrolled an ‘Introduction to Linguistics’ course at a Hong Kong employing applications, such as ChatGPT3.5 Image Generation feature Padlet, collaborative multimedia Wikibook project spanning 13 weeks. mixed-method approach included analyzing AI-generated content integration within 29 multimedia-enhanced chapters, development logs with ChatGPT interactions, assimilation into drafts, composition dynamics. Additionally, survey 98 student responses assessed perceptions regarding efficacy writing support. Key findings reveal multifaceted role shaping discourse, offering linguistic tools, structuring information. recognized advantages leveraging rapidly acclimating their strengths limitations through practical engagement. outcomes this offer insights students’ effective suggest potential directions incorporating pedagogy.

Language: Английский

Citations

0
Harnessing the integration of chat GPT in higher education: the evaluation of stakeholders sentiments using NLP techniques DOI Creative Commons
Abdulaziz Altamimi

Discover Sustainability, Journal Year: 2024, Volume and Issue: 5(1)

Published: Dec. 21, 2024

Abstract Educational settings are gradually adopting Chatgpt for various purposes, but the effects it generates different users have not received enough attention. This research study aims to fill a gap in existing literature by evaluating perceived attitudes of participants, including teachers, students, and administrators, towards use learning. We employed convenience sampling approach gather data from 500 which included 200 150 administrators settings. collected through structured interviews social media analysis conducted sentiment using text mining natural language processing (NLP). found that 72% 63% 75% positive attitude Chatgpt, whereas 18, 22, 17% neutral attitude, 10, 15, 8% negative it. supervised learning techniques classification methods such as VADER Text Blob. These results demonstrate high overall acceptance rate particularly among potentially due their interest tool’s potential enhance educational experiences administrative processes. is unique because focuses on multiple stakeholders combines quantitative survey with qualitative media. The findings provide relevant recommendations legislative bodies intend incorporate AI-transforming tools, into curricula management systems. score indicates most willing keen adopt artificial intelligence (AI) technologies institutions.

Language: Английский

Citations

0