Artificial Intelligence Integration in Higher Education: Enhancing Academic Processes and Leadership Dynamics DOI Creative Commons
Mboneza Kabanda

EIKI Journal of Effective Teaching Methods, Journal Year: 2025, Volume and Issue: 3(1)

Published: March 17, 2025

Higher Education is experiencing substantial transformations as Artificial Intelligence (AI) redefines academic and administrative operations. This paper examines AI’s paradigm-shifting influence on Institutions (HEIs), emphasizing its contribution to improving pedagogical processes optimizing efficacy. Using a structured methodology, this study’s thematic analysis highlights key areas where AI making an impact. addresses the positive aspects of using in teaching practices learning process, crucial role writing papers, effects honesty, implementation work, responsibilities faced by education leaders landscape, link between digital divide higher institutions. Further studies may focus comparative research among diverse institutions different regions, leadership strategies that facilitate integration HEIs, techniques enhance literacy teachers, staff, students.

Language: Английский

The effects of over-reliance on AI dialogue systems on students' cognitive abilities: a systematic review DOI Creative Commons

Chunpeng Zhai,

Santoso Wibowo, Lily D. Li

et al.

Smart Learning Environments, Journal Year: 2024, Volume and Issue: 11(1)

Published: June 18, 2024

Abstract The growing integration of artificial intelligence (AI) dialogue systems within educational and research settings highlights the importance learning aids. Despite examination ethical concerns associated with these technologies, there is a noticeable gap in investigations on how issues AI contribute to students’ over-reliance systems, such affects cognitive abilities. Overreliance occurs when users accept AI-generated recommendations without question, leading errors task performance context decision-making. This typically arises individuals struggle assess reliability or much trust place its suggestions. systematic review investigates particularly those embedded generative models for academic learning, their critical capabilities including decision-making, thinking, analytical reasoning. By using Preferred Reporting Items Systematic Reviews Meta-Analyses (PRISMA) guidelines, our evaluated body literature addressing contributing factors effects contexts. comprehensive spanned 14 articles retrieved from four distinguished databases: ProQuest, IEEE Xplore, ScienceDirect, Web Science. Our findings indicate that stemming impacts abilities, as increasingly favor fast optimal solutions over slow ones constrained by practicality. tendency explains why prefer efficient shortcuts, heuristics, even amidst presented technologies.

Language: Английский

Citations

78
ChatGPT and other AI Users: Innovative and Creative Utilitarian Value and Mindset Shift DOI Open Access

Arvin V. Duhaylungsod,

Jason V. Chavez

Journal of Namibian Studies History Politics Culture, Journal Year: 2023, Volume and Issue: 33

Published: March 20, 2023

With the advent of ChatGPT and other AI technologies, technology-based learners have gained access to a new tool that offers relief support in their academic pursuits. ChatGPT, powered by OpenAI's language model, has ability generate ideas, provide information, assist various tasks. This research aims explore provides examining its utilitarian value impact on enhancing innovative creative skills. By understanding benefits limitations educators can harness potential improve learning outcomes navigate challenges associated with integration education.

Language: Английский

Citations

28
Exploring the Key Factors Influencing College Students’ Willingness to Use AI Coding Assistant Tools: An Expanded Technology Acceptance Model DOI Creative Commons

Zelin Pan,

Zhendong Xie,

Tingting Liu

et al.

Systems, Journal Year: 2024, Volume and Issue: 12(5), P. 176 - 176

Published: May 15, 2024

The application of artificial intelligence (AI) in programming assistance has garnered researchers’ attention for its potential to reduce learning costs users, increase work efficiency, and decrease repetitive coding tasks. However, given the novelty AI Coding Assistant Tools (AICATs), user acceptance is currently limited, factors influencing this phenomenon are unclear. This study proposes an expanded model based on Technology Acceptance Model (TAM) that incorporates characteristics AICAT users explore key affecting college students’ willingness use AICATs. Utilizing a survey methodology, 303 Chinese participants completed questionnaire. Factor analysis Structural Equation Modeling (SEM) results indicate users’ dependence worry (DW) about AICATs positively affects perceived risk (PR), which turn negatively impacts usefulness (PU) ease (PEOU), thus reducing use. Dependence concerns also impact trust (PT), while PT PU PEOU, thereby enhancing Additionally, user’s self-efficacy (SE) DW PEOU. discusses significance these findings offers suggestions developers foster promote widespread

Language: Английский

Citations

14
Medical education and physician training in the era of artificial intelligence DOI Open Access

Yueyuan Xu,

Zehua Jiang, Daniel Shu Wei Ting

et al.

Singapore Medical Journal, Journal Year: 2024, Volume and Issue: 65(3), P. 159 - 166

Published: March 1, 2024

Abstract With the rise of generative artificial intelligence (AI) and AI-powered chatbots, landscape medicine healthcare is on brink significant transformation. This perspective delves into prospective influence AI medical education, residency training continuing education attending physicians or consultants. We begin by highlighting constraints current model, challenges in limited faculty, uniformity amidst burgeoning knowledge limitations ‘traditional’ linear acquisition. introduce ‘AI-assisted’ ‘AI-integrated’ paradigms for physician training, targeting a more universal, accessible, high-quality interconnected educational journey. differentiate between essential all physicians, specialised insights clinician-scientists mastery-level proficiency clinician-computer scientists. transformative potential service delivery, it poised to reshape pedagogy training.

Language: Английский

Citations

13
Development and validation of a scale for dependence on artificial intelligence in university students DOI Creative Commons
Wilter C. Morales-García, Liset Z. Sairitupa-Sanchez, Sandra B. Morales-García

et al.

Frontiers in Education, Journal Year: 2024, Volume and Issue: 9

Published: March 12, 2024

Background Artificial Intelligence (AI) has permeated various aspects of daily life, including education, specifically within higher education settings. These AI technologies have transformed pedagogy and learning, enabling a more personalized approach. However, ethical practical concerns also emerged, the potential decline in cognitive skills student motivation due to excessive reliance on AI. Objective To develop validate Scale for Dependence (DIA). Methods An Exploratory Factor Analysis (EFA) was used identify underlying structure DIA scale, followed by Confirmatory (CFA) assess confirm this structure. In addition, scale’s invariance based participants’ gender evaluated. Results A total 528 university students aged between 18 37 years ( M = 20.31, SD 3.8) participated. The EFA revealed unifactorial which subsequently confirmed CFA. Invariance analyses showed that scale is applicable consistent both men women. Conclusion DAI emerges as robust reliable tool measuring students’ dependence Its makes it diverse population studies. age digitalization, essential understand dynamics humans navigate wisely ensure beneficial coexistence.

Language: Английский

Citations

12
Education 4.0 and 5.0: integrating Artificial Intelligence (AI) for personalized and adaptive learning DOI Open Access
Nitin Liladhar Rane

Published: June 24, 2024

This research paper explores how the integration of Arti cial Intelligence (AI) in education sector is bringing about transformative changes, particularly within frameworks Education 4.0 and 5.0.In response to evolving technological landscape, undergoing a shift address challenges 21st century, moving away from traditional models embrace more personalized adaptive approaches.Education represents signi cant where technology, notably AI, harnessed enhance learning experience.The investigates utilization AI technologies, such as machine algorithms natural language processing, create environments.These environments are designed meet speci c needs preferences individual learners, fostering engaging e ective educational move 3.0 es departure standardized, one-size-ts-all approaches education, embracing dynamic responsive system.Expanding on principles 4.0, 5.0 takes step further by emphasizing learning.The delves into concept learning, exploring systems can dynamically adjust instructional strategies based real-time feedback learner progress.Education seeks optimize journey tailoring content, pace, assessments each student's abilities style, aiming improve overall outcomes.Additionally, examines ethical considerations associated with widespread adoption education.It critically evaluates issues related data privacy, bias algorithms, potential impact teacher-student relationships.The ndings emphasize need strike balance between innovation considerations, ensuring responsible environments.

Language: Английский

Citations

9
Adoption of Artificial Intelligence-Enabled Robots in Long-Term Care Homes by Healthcare Providers: A Scoping Review (Preprint) DOI Creative Commons
Karen Lok Yi Wong, Lillian Hung, Joey Wong

et al.

JMIR Aging, Journal Year: 2024, Volume and Issue: 7, P. e55257 - e55257

Published: June 28, 2024

Long-term care (LTC) homes face the challenges of increasing needs residents and a shortage health providers. Literature suggests that artificial intelligence (AI)-enabled robots may solve such support person-centered care. There is dearth literature exploring perspectives providers, which are crucial to implementing AI-enabled robots.

Language: Английский

Citations

8
Exploring the use of artificial intelligence in Indonesian accounting classes DOI Creative Commons

Fachrurrozie Fachrurrozie,

Ahmad Nurkhin, Jarot Tri Bowo Santoso

et al.

Cogent Education, Journal Year: 2025, Volume and Issue: 12(1)

Published: Jan. 4, 2025

This study aims to reveal the use of artificial intelligence (AI) in accounting classes, analyze factors that influence educators AI continuously learning, and describe challenges ethics developing AI. The research population is (teachers lecturers) Indonesia who are members Professional Alliance Accounting Educators throughout Indonesia. sampling method used was purposive sampling. data collection a questionnaire distributed online via Google form platform, which gathered 230 responses, including 146 teachers 84 lecturers. descriptive analysis structural equation model were data. findings show Canva most widely tool, followed by ChatGPT. Teachers lecturers primarily create learning materials write academic articles. results only performance expectancy gender significantly impact intention education. Conversely, competence key affecting actual usage behavior learning. In addition, various exist using AI, issues related effectiveness efficiency, IT ethics, fostering student engagement interaction.

Language: Английский

Citations

1
‘The end user takes the final decision’ DOI Open Access
Erik B. W. Aal

Systems Research and Behavioral Science, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 18, 2025

ABSTRACT While social sciences are brimming with attention for the transformations brought about by AI and digital technology, aspect of communication has received remarkably little attention. Niklas Luhmann's system theory, which conceives systems as constituted through ongoing communication, is particularly well equipped to make a relevant contribution. This paper investigates Impact on organisations decision‐communications, along lines four distinctions: decision premise–decision, memory–environment, organisation system–interaction structural coupling–loose coupling. The deployment reaction growing societal differentiation resulting future‐related contingency, such contributes viability systems. Nevertheless, theory explains how certain impacts we witness, some them potentially harmful organisation, neither incidental nor temporal but structurally related basic operations organisations. A proposal made reflection loops can be introduced counter these consequences.

Language: Английский

Citations

1
The Influence of Artificial Intelligence (AI) and Mobile Learning on Learning Outcomes in Higher Education: Did the Mediation of Self-Competence Matter? DOI Open Access

Gilang Hardiansyah Priamono,

Arif Rahman Hakim, Rihab Wit Daryono

et al.

Jurnal Penelitian dan Pengkajian Ilmu Pendidikan e-Saintika, Journal Year: 2024, Volume and Issue: 8(2), P. 241 - 259

Published: July 15, 2024

Islamic Religious Education (PAI) has a significant impact on the development of students' character, morality, and overall learning outcomes. This study aims to investigate effects artificial intelligence (AI) mobile student outcomes, with specific focus role self-competence as mediating factor. Employing quantitative survey approach, research included 208 students from PAI Study Program at IAIN Ponorogo, using probability sampling techniques. Data was collected through Likert-scale questionnaires, data analyzed PLS-SEM analysis. The results indicate positive influence AI playing crucial These findings highlight importance educators promoting self-regulation, self-efficacy, motivation skills within online environments. emphasizes potential integrating enhance quality education recommends that continuously update their knowledge technological advancements training collaboration. Strengthening these competencies can lead more interactive, personalized, adaptive environment for students.

Language: Английский

Citations

6