Foresight Methodologies in Responsible GenAI Education: Insights from the Intermedia-Lab at Complutense University Madrid DOI Creative Commons
Asunción López‐Varela Azcárate

Education Sciences, Год журнала: 2024, Номер 14(8), С. 834 - 834

Опубликована: Июль 31, 2024

This study, conducted at Complutense Intermedia-Lab, employs a dual approach to explore university students’ use of Generative AI (GenAI), combining survey with foresight methodologies (Sci-fi prototyping). The initial gathers baseline data on experiences, attitudes, and concerns regarding GenAI, providing comprehensive understanding current practices among students in Spain. empirical foundation informs subsequent Sci-fi prototyping sessions, where creatively envision future scenarios, fostering futurist thinking deeper engagement. By integrating principles Responsible Research Innovation (RRI), this facilitates nuanced exploration GenAI’s potential impacts education. incorporation both quantitative collection qualitative methods study serves navigate challenges level opportunities promoting the ethical inclusive GenAI Higher Education, ensuring that innovations align societal values needs.

Язык: Английский

Higher education students’ perceptions of ChatGPT: A global study of early reactions DOI Creative Commons
Dejan Ravšelj, Damijana Keržič, Nina Tomaževič

и другие.

PLoS ONE, Год журнала: 2025, Номер 20(2), С. e0315011 - e0315011

Опубликована: Фев. 5, 2025

The paper presents the most comprehensive and large-scale global study to date on how higher education students perceived use of ChatGPT in early 2024. With a sample 23,218 from 109 countries territories, reveals that primarily used for brainstorming, summarizing texts, finding research articles, with few using it professional creative writing. They found useful simplifying complex information content, but less reliable providing supporting classroom learning, though some considered its clearer than peers teachers. Moreover, agreed need AI regulations at all levels due concerns about promoting cheating, plagiarism, social isolation. However, they believed could potentially enhance their access knowledge improve learning experience, efficiency, chances achieving good grades. While was as effective improving literacy, digital communication, content creation skills, interpersonal decision-making, numeracy, native language proficiency, development critical thinking skills. Students also felt would boost demand AI-related skills facilitate remote work without significantly impacting unemployment. Emotionally, mostly positive ChatGPT, curiosity calmness being common emotions. Further examinations reveal variations students' perceptions across different socio-demographic geographic factors, key factors influencing identified. Higher institutions' managers teachers may benefit these findings while formulating curricula instructions/regulations use, well when designing teaching methods assessment tools. policymakers consider strategies secondary system development, especially light changing labor market needs related development.

Язык: Английский

Процитировано

20

Software Engineering by and for Humans in an AI Era DOI Open Access
Silvia Abrahão, John Grundy, Mauro Pezzè

и другие.

ACM Transactions on Software Engineering and Methodology, Год журнала: 2025, Номер unknown

Опубликована: Фев. 3, 2025

The landscape of software engineering is undergoing a transformative shift driven by advancements in machine learning, artificial intelligence (AI), and autonomous systems. This roadmap paper explores how these technologies are reshaping the field, positioning humans not only as end users but also critical components within expansive ecosystems. We examine challenges opportunities arising from this human-centered paradigm, including ethical considerations, fairness, intricate interplay between technical human factors. By recognizing at heart lifecycle —spanning professional engineers, users, end-user developers —we emphasize importance inclusivity, human-aligned workflows, seamless integration AI-augmented socio-technical As systems evolve to become more intelligent human-centric, practices must adapt new reality. provides comprehensive examination transformation, outlining current trends, key challenges, that define emerging research practice landscape, envisioning future where AI work synergistically place core ecosystem.

Язык: Английский

Процитировано

1

ChatGPT Acceptance and Use Among Software Developers in the Philippines: A Structural Equation Modeling Approach Based on Extended UTAUT DOI

Gerand Boy O. Elinzano,

Michelle Renee D. Ching

Lecture notes in computer science, Год журнала: 2025, Номер unknown, С. 177 - 188

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

The Impact of Digital Literacy on Kazakhstan’s Employment Structure in the Context of Technological Change DOI Creative Commons
Aidarbek T. Gyiazov

The economy strategy and practice, Год журнала: 2025, Номер 20(1), С. 6 - 18

Опубликована: Апрель 10, 2025

Today, digital transformation has a significant impact on the labor market, changing employment structure and forming new requirements for qualifications of employees. The purpose study is to analyze literacy status population Republic Kazakhstan in context rapid technological changes consequences COVID-19 pandemic. Research methods include correlation analysis identify relationship between level structure, as well comparative method assess dynamics market. empirical base based statistical data 2010-2022 collected from official collections reports International Labor Organization (ILO). results show that an increase leads decrease proportion employees self-employed, which associated with automation, development platforms forms employment. Correlation revealed negative (r = -0.75), strong positive number pensioners 0.75) dependents 0.94). obtained confirm trend towards transition remote work use technologies everyday life. Future research may focus developing strategies among balanced market reduce divide, especially rural areas.

Язык: Английский

Процитировано

0

Foresight Methodologies in Responsible GenAI Education: Insights from the Intermedia-Lab at Complutense University Madrid DOI Creative Commons
Asunción López‐Varela Azcárate

Education Sciences, Год журнала: 2024, Номер 14(8), С. 834 - 834

Опубликована: Июль 31, 2024

This study, conducted at Complutense Intermedia-Lab, employs a dual approach to explore university students’ use of Generative AI (GenAI), combining survey with foresight methodologies (Sci-fi prototyping). The initial gathers baseline data on experiences, attitudes, and concerns regarding GenAI, providing comprehensive understanding current practices among students in Spain. empirical foundation informs subsequent Sci-fi prototyping sessions, where creatively envision future scenarios, fostering futurist thinking deeper engagement. By integrating principles Responsible Research Innovation (RRI), this facilitates nuanced exploration GenAI’s potential impacts education. incorporation both quantitative collection qualitative methods study serves navigate challenges level opportunities promoting the ethical inclusive GenAI Higher Education, ensuring that innovations align societal values needs.

Язык: Английский

Процитировано

1