Artificial Intelligence Improving Student Learning Achievement DOI

Jajang Hendar Hendrawan,

Nurul Anggraeni,

Sumardianshah Silah

et al.

International Journal of Social Learning (IJSL), Journal Year: 2024, Volume and Issue: 5(1), P. 140 - 154

Published: Dec. 24, 2024

This study examines the application of Artificial Intelligence (AI) in Education, mainly focusing on its impact student achievement Pancasila and Citizenship Education Program at STKIP Pasundan. Students often face challenges when dealing with complex abstract materials civic Education. The research employs a quantitative approach, using random sampling multiple linear regression analysis to assess influence AI. findings reveal that ChatGPT is most commonly used AI platform among students, valued for user-friendly features effective response capabilities. confirms significantly affects learning achievement, contribution substantial compared other influencing factors. Additionally, enhances motivation, material absorption, innovation process. In conclusion, positively impacts can be integrated into educational practices foster more innovative practical digital era.

Language: Английский

Education 4.0 and 5.0: Integrating Artificial Intelligence (AI) for Personalized and Adaptive Learning DOI
Nitin Liladhar Rane, Saurabh Choudhary, Jayesh Rane

et al.

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

This research paper explores how the integration of Artificial 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. represents significant 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 specific needs preferences individual learners, fostering engaging effective educational move 3.0 signifies departure standardized, one-size-fits-all approaches education, embracing dynamic responsive system. Expanding on principles 4.0, 5.0 takes step further by emphasizing learning. delves into concept learning, exploring systems can dynamically adjust instructional strategies based real-time feedback learner progress. 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. findings emphasize need strike balance between innovation considerations, ensuring responsible

Language: Английский

Citations

93

Implementation of a peer‐led team learning instructional approach in an undergraduate organic chemistry course DOI
Lydia T. Tien,

Vicki Roth,

J. A. Kampmeier

et al.

Journal of Research in Science Teaching, Journal Year: 2002, Volume and Issue: 39(7), P. 606 - 632

Published: Aug. 9, 2002

Abstract This study focuses on the implementation of a peer‐led team learning (PLTL) instructional approach for all students in an undergraduate organic chemistry course and evaluation student outcomes over 8 years. Students who experienced student‐centered instruction worked small groups facilitated by peer leader (treatment) 1996–1999 were compared with traditional recitation section (control) 1992–1994. Quantitative qualitative data show statistically significant improvements performance, retention, attitudes about course. These findings suggest that using leaders to implement model is built social constructivist foundation workable mechanism effecting change science courses. © 2002 Wiley Periodicals, Inc. J Res Sci Teach 39: 606–632,

Language: Английский

Citations

317

Global Initiatives Towards Regulatory Frameworks for Artificial Intelligence (AI) in Higher Education DOI Creative Commons
Mehul Mahrishi, Asad Abbas, Mohammad Khubeb Siddiqui

et al.

Digital Government Research and Practice, Journal Year: 2024, Volume and Issue: unknown

Published: June 12, 2024

Artificial intelligence (AI) integration into education has received significant global attention, sparking a need for comprehensive regulatory frameworks governance. In this commentary, we first examine the role of AI in and how it is integrated with teaching learning process. It also discusses impact on higher through specific case studies tries to illuminate current/emerging trends, challenges, potential future directions. Furthermore, highlights insights from initiatives, policy frameworks, ethical standards adopted by prominent organizations govern education. The study concludes that optimal use these apps can only be harnessed proper transparency balance.

Language: Английский

Citations

5

Ethics of artificial intelligence DOI Open Access
Carlos Ríos-Campos,

Mariuxi Ileana Tejada-Castro,

Jessica Del Consuelo Luzuriaga Viteri

et al.

South Florida Journal of Development, Journal Year: 2023, Volume and Issue: 4(4), P. 1715 - 1729

Published: July 10, 2023

The general objective of the research was to determine advances related Ethics Artificial Intelligence. most powerful countries are investing large amounts economic resources in development artificial intelligence. Methodology, this research, 49 documents have been selected, carried out period 2018 - 2023; including: scientific articles, review articles and information from websites recognized organizations. Results, ethics intelligence is supported by various countries. Furthermore, ChatGPT considered a major threat automation academic document preparation. Conclusions, about Intelligence, it important consider transparency risks applying AI. In addition, ethical aspects such as Recommendation on Intelligence adopted UNESCO's General Conference at its 41st session. European Union (EU) considering new legal framework regulations use an AI tool that needs be carefully evaluated for impact education other human activities. About first specific identify invest money intelligence, there Japan, Singapore, China, India, Russia, Australia, Unite States America, Union. second requirements black-box models, privacy violations, bias discrimination algorithmic transparency, understandable explanations, privacy-preserving algorithms, data cooperatives, fairness.

Language: Английский

Citations

13

Artificial Intelligence in Education: Investigating Teacher Attitudes DOI Creative Commons
Ali Aghaziarati, Sara Nejatifar, Ahmad Abedi

et al.

Published: Jan. 1, 2023

This study aims to investigate teachers' attitudes towards AI in education, focusing on identifying the perceived benefits, challenges, and ethical considerations associated with integration into teaching learning environments. Utilizing a qualitative research design, this conducted semi-structured interviews 28 educators from various educational levels disciplines. Thematic analysis was employed analyze interview data, key themes concepts related perspectives education. Four main were identified: Pedagogical Impacts, Ethical Social Considerations, Technological Challenges Opportunities, Perceptions of Education. Impacts encompassed enhancing outcomes, curriculum integration, evolving roles teachers. Considerations highlighted concerns over data privacy, bias, equity. Opportunities discussed challenges future technology. Lastly, Education revealed varied attitudes, awareness levels, impacts professional identity. Teachers recognize transformative potential personalized operational efficiency. However, about issues, technological infrastructure, need for development are significant. Addressing these requires targeted efforts policymakers, leaders, technologists foster supportive environment

Language: Английский

Citations

12

Bridging expectations and reality: Addressing the price-value paradox in teachers' AI integration DOI
Nitzan Elyakim

Education and Information Technologies, Journal Year: 2025, Volume and Issue: unknown

Published: March 4, 2025

Language: Английский

Citations

0

The Role of Artificial Intelligence in Creation of Future Education: Possibilities and Challenges DOI Creative Commons
Olha Zadorina,

Volha Hurskaya,

Svitlana Sobolyeva

et al.

Futurity Education, Journal Year: 2024, Volume and Issue: unknown

Published: April 30, 2024

Artificial intelligence has significant potentials in revolutionizing education by enhancing teaching methods, personalizing learning experiences, and improving educational outcomes. The aim of the research is to specify role AI creation future outline challenges artificial can bring within process. To answer questions case study on was conducted. methods included structured interviews among institutions administrators, faculty members, students, developers; survey students collect quantitative data their use attitudes towards technologies; classroom observations. Over 50 recent scientific works were selected evaluate conduct comparative analysis. conducted 56 participants, particularly 9 19 24 4 developers. results showed that integrated process are used design simulation-based activities, organize personalized learning, form specific skills automate administrative leads enhancement outcomes increased efficiency, greater accessibility education, during war when be disrupted. Using presents several need addressed for its effective implementation. Also, it found efficient using tools will lead positive based landscape at higher which characterized interactivity, inclusivity, innovation, accessibility. implied improve EdTech companies develop platforms.

Language: Английский

Citations

3

Solutions for Independent Goal Setting and Implementation of Primary School Students Fostering the Competence of Learning to Learn DOI Creative Commons
Jovita Ponomariovienė, Daiva Jakavonytė-Staškuvienė

Education Sciences, Journal Year: 2024, Volume and Issue: 14(4), P. 368 - 368

Published: April 1, 2024

The paper analyzes what personal goals primary school pupils are able to set on their own and how they achieve them in decision-making process, thereby developing competence learning learn. In this work, the reader will be get acquainted with theoretically grounded concept of development possibilities schools. addition, it provides practical tools for quality students’ competence, where students not only plan steps but also reflect experiences. An action research study analyzed content (N = 50) diaries, discussing choices make reflecting efforts made, results were obtained Based findings, is evident that fourth-grade exhibit distinct patterns individual goal setting, action-planning, reflection processes. analysis presented general highlights overarching themes specific instances goals, activity tasks, reflections, offering insight into cognitive processes fourth-graders perceptions regarding benefits challenges learning.

Language: Английский

Citations

2

Students’ and teachers’ attitudes towards the use of tools with generative artificial intelligence at the university DOI Creative Commons

K. I. Buyakova,

Ya. A. Dmitriev,

A. S. Ivanova

et al.

The Education and science journal, Journal Year: 2024, Volume and Issue: 26(7), P. 160 - 193

Published: Sept. 11, 2024

Introduction. Today higher education has become one of the spheres active application artificial intelligence (AI) systems capable modelling human cognitive activity to solve various tasks. The possibility independent AI tools by students and teachers a prerequisite for changing model educational process realisation. Aim. study aimed investigate attitudes use widely available in on example Tomsk State University (TSU). Methodology research methods. main methods were sociological statistical A survey teaching staff TSU was conducted. sample 1597 250 teachers. To check statistically significant differences between subsamples socio-demographic characteristics, Pearson Chi-squared criterion used, as well Z-test comparing proportions (at significance level 95%, p < 0.05). comparative analysis carried out subsamples, results obtained from staff. Results. showed that are more likely than have positive attitude towards tools. Teachers inclined pay attention risks negative factors integration may entail. respondents with experience using about such education. Undergraduate optimistic prospects implementation Students who completed coursework assignments AI-enabled noted most time did not notice it. Both admit can be used information processing aides without compromising outcomes. Scientific novelty consists identifying student wide access: opportunities Practical significance. data allow recording cross-section existing It bases development principles strategies working subjects possibilities new technologies their activities, particular, through creation methodological recommendations, professional courses staff, modules students.

Language: Английский

Citations

1

Impact of Artificial Intelligence on Higher Education: A Literature Review DOI
Iván Suazo Galdames

Lecture notes in networks and systems, Journal Year: 2024, Volume and Issue: unknown, P. 373 - 392

Published: Dec. 16, 2024

Language: Английский

Citations

1