Computer Assisted Language Learning, Год журнала: 2025, Номер unknown, С. 1 - 28
Опубликована: Фев. 3, 2025
Язык: Английский
Societies, Год журнала: 2025, Номер 15(1), С. 6 - 6
Опубликована: Янв. 3, 2025
The proliferation of artificial intelligence (AI) tools has transformed numerous aspects daily life, yet its impact on critical thinking remains underexplored. This study investigates the relationship between AI tool usage and skills, focusing cognitive offloading as a mediating factor. Utilising mixed-method approach, we conducted surveys in-depth interviews with 666 participants across diverse age groups educational backgrounds. Quantitative data were analysed using ANOVA correlation analysis, while qualitative insights obtained through thematic analysis interview transcripts. findings revealed significant negative frequent abilities, mediated by increased offloading. Younger exhibited higher dependence lower scores compared to older participants. Furthermore, attainment was associated better regardless usage. These results highlight potential costs reliance, emphasising need for strategies that promote engagement technologies. contributes growing discourse AI’s implications, offering practical recommendations mitigating adverse effects thinking. underscore importance fostering in an AI-driven world, making this research essential reading educators, policymakers, technologists.
Язык: Английский
Процитировано
5
Education Sciences, Год журнала: 2025, Номер 15(2), С. 199 - 199
Опубликована: Фев. 7, 2025
This study evaluates “I Learn with Prompt Engineering”, a self-paced, self-regulated elective course designed to equip university students skills in prompt engineering effectively utilize large language models (LLMs), foster self-directed learning, and enhance academic English proficiency through generative AI applications. By integrating concepts tools, the supports autonomous learning addresses critical skill gaps market-ready capabilities. The also examines EnSmart, an AI-driven tool powered by GPT-4 integrated into Canvas LMS, which automates test content generation grading delivers real-time, human-like feedback. Performance evaluation, structured questionnaires, surveys were used evaluate course’s impact on prompting skills, proficiency, overall experiences. Results demonstrated significant improvements accessible patterns like “Persona” proving highly effective, while advanced such as “Flipped Interaction” posed challenges. Gains most notable among lower initial though engagement practice time varied. Students valued EnSmart’s intuitive integration accuracy but identified limitations question diversity adaptability. high final success rate that proper design (taking consideration Panadero’s four dimensions of learning) can facilitate successful learning. findings highlight AI’s potential task automation, emphasizing necessity human oversight for ethical effective implementation education.
Язык: Английский
Процитировано
2
Trends in Higher Education, Год журнала: 2025, Номер 4(1), С. 2 - 2
Опубликована: Янв. 8, 2025
This collective systematic literature review is part of an Erasmus+ project, “TaLAI: Teaching and Learning with AI in Higher Education”. The investigates the current state Generative Artificial Intelligence (GenAI) higher education, aiming to inform curriculum design further developments within digital education. Employing a descriptive, textual narrative synthesis approach, study analysed across four thematic areas: learning objectives, teaching activities, development, institutional support for ethical responsible GenAI use. 93 peer-reviewed articles from eight databases using keyword-based search strategy, collaborative coding process involving multiple researchers, vivo transparent documentation. findings provide overview recommendations integrating into learning, contributing development effective AI-enhanced environments reveals consensus on importance incorporating Common themes like mentorship, personalised creativity, emotional intelligence, higher-order thinking highlight persistent need align human-centred educational practices capabilities technologies.
Язык: Английский
Процитировано
1
Опубликована: Янв. 22, 2025
Язык: Английский
Процитировано
1
International Journal of Intelligence Science, Год журнала: 2025, Номер 15(01), С. 10 - 55
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
1
Heliyon, Год журнала: 2024, Номер unknown, С. e37238 - e37238
Опубликована: Сен. 1, 2024
Язык: Английский
Процитировано
12
Education and Information Technologies, Год журнала: 2024, Номер unknown
Опубликована: Июнь 14, 2024
Язык: Английский
Процитировано
11
Smart Learning Environments, Год журнала: 2025, Номер 12(1)
Опубликована: Янв. 3, 2025
Abstract This review was conducted in order to determine the specific role of intelligent technologies individual learning experience. The research work included consider articles published between 2014 and 2024, found Web Science, Scopus, ERIC databases, selected among 933 мarticles on topic. Materials were checked for compliance with criteria headings, annotations full texts then further analyzed. study includes 38 that based a rigorous evaluation selection process accordance PRISMA methodology AMSTAR2 critical assessment strategy. As result analysis, it scope application education is diverse, results this topic are heterogeneous. article identifies aspects effective use education, emerging difficulties limitations, as well provides examples successful implementation various educational institutions. Although there advantages using smart general, we should not ignore what needs be considered. On point, presents arise when ways prevent them.
Язык: Английский
Процитировано
1
Journal of Educational Computing Research, Год журнала: 2024, Номер 62(5), С. 1234 - 1266
Опубликована: Апрель 1, 2024
The emergence of Generative Artificial Intelligence (GAI) has caused significant disruption to the traditional educational teaching ecosystem. GAI possesses remarkable capabilities in generating human-like text and boasts an extensive knowledge repository, thereby paving way for potential collaboration with humans. However, current research on collaborating within context remains insufficient methods are relatively limited. This study aims utilize such as Lag Sequential Analysis (LSA) Epistemic Network (ENA) unveil “black box” human-machine collaborative process. In this research, 22 students engaged tasks refine instructional design schemes authentic classroom setting. results show that participants significantly improved quality design. Leveraging improvement demonstrated students’ performance, we categorized them into high- low-performance groups. Through analysis learning behavior, it was observed high-performance group adhered a structured content application framework: “generate → monitor apply evaluate.” Moreover, they adeptly employed communication strategies emphasizing exercising cognitive agency actively cultivating environment. conclusions drawn from may serve reference series practical applications provide directions subsequent studies.
Язык: Английский
Процитировано
6
Scientific Reports, Год журнала: 2024, Номер 14(1)
Опубликована: Авг. 5, 2024
The emergence of ChatGPT has significantly impacted the field education. While much existing research predominantly examined theoretical implications ChatGPT, there is a notable absence empirical studies substantiating these claims. As pivotal stakeholders in education and primary users exploring willingness influencing factors higher students to use can offer valuable insights into real-world needs student users. This, turn, serve as foundation for empowering with intelligent technologies future. This study focuses specifically on demographic Chinese who have utilized ChatGPT. Using semi-structured interviews grounded theory methodology, we aim comprehensively understand extent which embrace new technologies. Our objective elucidate behavioral inclinations findings this will contribute practical refining policy frameworks, expanding dissemination quality resources, optimizing upgrading products an enhanced user experience, fostering higher-order thinking skills adeptly navigate evolving technological landscapes. In conclusion, endeavors bridge gap between discussions applications.
Язык: Английский
Процитировано
6