
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: June 7, 2024
Language: Английский
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: June 7, 2024
Language: Английский
Education Sciences, Journal Year: 2024, Volume and Issue: 14(6), P. 643 - 643
Published: June 14, 2024
The increasing use of artificial intelligence (AI) in education has raised questions about the implications ChatGPT for teaching and learning. A systematic literature review was conducted to answer these questions, analyzing 112 scholarly articles identify potential benefits challenges related educational settings. selection process thorough ensure a comprehensive analysis current academic discourse on AI tools education. Our research sheds light significant impact improving student engagement accessibility critical issues that need be considered, including concerns quality bias generated responses, risk plagiarism, authenticity content. study aims summarize utilizations learning by addressing identified through targeted strategies. authors outlined some recommendations will integration into frameworks enhances outcomes while safeguarding standards.
Language: Английский
Citations
20Education and Information Technologies, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 22, 2024
Language: Английский
Citations
11European Journal of Education, Journal Year: 2025, Volume and Issue: 60(1)
Published: Jan. 7, 2025
ABSTRACT Artificial intelligence (AI) has extensively developed, impacting different sectors of society, including higher education, and attracted the attention various educational stakeholders, leading to a growing number research on its integration into education. Hence, this systematic literature review examines impact integrating AI tools in education students' personal collaborative learning environments. Analysis 148 articles published between 2021 2024 indicates that Tools improve personalised assessments, communication engagement, scaffolding performance motivation. Additionally, they promote environment by providing peer‐learning opportunities, enhanced learner‐content interaction cooperative support. Indeed, strategies such as skills development, ethical use, academic integrity instructional content design. Acknowledged limitations include considerations, particularly privacy bias, which require ongoing attention. it is recommended create good balance AI‐mediated human environments, key area future exploration.
Language: Английский
Citations
1Published: Jan. 22, 2025
Language: Английский
Citations
1International Journal of Educational Management, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 29, 2025
Purpose This research examines the complex relationship between usage of Chat Generative Pre-Trained Transformer (ChatGPT) amongst student and their creativity, learning assessment using empirical data collected from postgraduate students. In addition, study explores student’s intrinsic motivation for to understand categories. seeks provide further insights into this artificial intelligence tool in enhancing educational ecosystem all stakeholders concerned. Design/methodology/approach The target population – students post-graduation diverse fields science management. A five-point Likert scale-structured questionnaire adapted earlier literature relevant questions was adopted collection. were two months, resulted 403 usable responses. Ethical considerations assurance confidentiality participants strictly adhered to. Structured equation modelling (SEM) employed explore relationships constructs latent relationships. SmartPLS 4 used these Findings Usage has a negative impact on but increased ChatGPT encourages adoption due its perceived usability. Pedagogical applications aid as require controlled under supervision. Originality/value is innovative context students, where very little evidence creativity exists. Through research, authors illuminate how use affects academic performance, benefiting educators evaluation assessment, policymakers findings implications that help create effective digital education strategies stakeholders.
Language: Английский
Citations
1Education Sciences, Journal Year: 2024, Volume and Issue: 14(5), P. 484 - 484
Published: May 2, 2024
The purpose of this paper is to explore the influence using AI chatbots on learning within context engineering education. We framed study principles how works in order describe contributions and challenges five categories: (1) facilitating acquisition, completion, or activation prior knowledge helping organize making connections; (2) enhancing student motivation learn; (3) fostering self-directed practice, application skills they acquire; (4) supporting goal-directed practice feedback; (5) addressing diversity creating a positive classroom environment. To elicit uses, benefits, drawbacks students’ learning, we conducted thematic analysis qualitative data gathered from surveying 38 volunteers 5 different electronic mechatronic courses at South American university. Based literature review an evidence-based discussion, offer practical suggestions for instructors who want promote use enhance their learning.
Language: Английский
Citations
6Information and Learning Sciences, Journal Year: 2024, Volume and Issue: unknown
Published: July 8, 2024
Purpose Programming education is being rapidly transformed by generative AI tools and educators must determine how best to support students in this context. This study aims explore the experiences of programming inform future provision. Design/methodology/approach Twelve six members faculty a small technology-focused university were interviewed. Thematic analysis interview data was combined with collected from survey 44 at same university. Self-determination theory applied as an analytical framework. Findings Three themes identified – bespoke learning, affect that significantly impact motivation learning outcomes education. It also found are already making extensive use large language models (LLMs). LLMs can improve learner autonomy sense competence improving options for learning; fostering emotions conducive engendering maintaining motivation; inhibiting negative affective states discourage learning. However, current cannot adequately provide or replace social support, which still key factor motivation. Research limitations/implications Integrating into curricula outcomes. free certain tasks, leaving them more time capacity focus their attention on developing opportunities further enhance Originality/value To authors’ knowledge, first attempt relationship between LLM
Language: Английский
Citations
5Education and Information Technologies, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 15, 2025
Language: Английский
Citations
0Interactive Learning Environments, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 18
Published: Jan. 16, 2025
Programming education gains importance in high schools as the digital age progresses. However, openness and adaptability of programming languages present unique challenges for instructional practices compared to other subjects. While traditional tools offer limited support, ChatGPT, a groundbreaking Generative Artificial Intelligence, has shown impressive capabilities natural language processing knowledge generation. This study explored whether ChatGPT can transcend existing limitations improve through quasi-experimental approach with post-hoc interviews school classrooms. A total 153 students participated, results from MANCOVA ANCOVA analyses revealed that using reported lower levels flow experience, self-efficacy, learning achievement those utilizing conventional methods. Post-hoc further felt ChatGPT's effectiveness facilitating their fell short initial expectations. These findings highlight need carefully consider complexity tasks students' cognitive, affective, interactive dimensions when integrating AI technologies into education. We discuss implications provide thorough pedagogical strategies, specifically guidance–practice–transformation (G–P–T) mode, maximize potential support education, emphasizing balance technological innovation best practices.
Language: Английский
Citations
0Lecture notes in computer science, Journal Year: 2025, Volume and Issue: unknown, P. 177 - 188
Published: Jan. 1, 2025
Language: Английский
Citations
0