Can AI Level the Playing Field? How AI-Assisted Assessment Impacts Gender Bias in Student Evaluations of Marketing Instructors DOI Creative Commons
Michelle Cowan, Gavin L. Fox, Keri M. Larson

и другие.

Journal of Marketing Education, Год журнала: 2024, Номер unknown

Опубликована: Дек. 18, 2024

Marketing instructors increasingly are using artificial intelligence (AI) to improve efficiency in course planning and assessment. However, scholarship has yet show how such use impacts student evaluations, which often skewed by gender bias. Toward this aim, we conducted a quasi-experiment college-student participants viewed work along with instructor feedback under four experimental conditions. In one condition, were told the grade written and, another, that was generated an AI tool trained instructor. Instructor also manipulated. Participants evaluated assessment measures of agency competence. We found perceptions competence higher for male than female who did not tool. when used AI, marked reductions differences occurred. These findings suggest complicates enough potentially level playing field instructors. universally more negative created regardless gender. Therefore, attempts as should be made caution.

Язык: Английский

Tendencias de IA para la educación universitaria: un enfoque bibliométrico DOI Creative Commons
Hernán Ramiro Pailiacho Yucta, Alex Armando Chiriboga Cevallos, Jessica Wendy Espinoza Toala

и другие.

Esprint Investigación, Год журнала: 2025, Номер 4(1), С. 154 - 171

Опубликована: Фев. 17, 2025

En los últimos años, la inteligencia artificial (IA) ha revolucionado radicalmente el ámbito educativo al ofrecer herramientas innovadoras que transforman tanto enseñanza como aprendizaje. No obstante, comprensión sobre su impacto específico en educación universitaria sigue siendo limitada. Por ello, este estudio tiene objetivo analizar las tendencias emergentes de IA superior utilizando un enfoque bibliométrico. lo tanto, se recopiló información base datos Scopus mediante una estrategia búsqueda específica permitió obtener total 4146 documentos para análisis. Se utilizó paquete Bibliometrix R y software RStudio procesar visualizar datos, identificó patrones producción científica, así principales actores influyentes áreas investigación predominantes. Los resultados indican crecimiento exponencial número publicaciones, con particular aplicación aprendizaje personalizado automatización procesos educativos. Además, análisis temporal palabras clave reveló cambio significativo investigativas, destacando aumento exploración enfoques basados machine learning Sin embargo, persisten desafíos adopción e implementación esta tecnología entornos educativos, relacionados aspectos seguridad, ética disponibilidad recursos. Este proporciona visión integral panorama actual relevante futuras investigaciones campo.

Процитировано

0
Integration of AI-based applications in education: how students feel about the ChatGPT era? DOI

Tuhin Ahmad Shubha,

Priya G. Vaidya,

P. M. Naushad Ali

и другие.

Global Knowledge Memory and Communication, Год журнала: 2025, Номер unknown

Опубликована: Март 22, 2025

Purpose This study aims to investigate the awareness, utilisation, perception and impact of artificial intelligence (AI) tools among graduate students across various universities in Northeast India. In addition, it delves into challenges they encounter while integrating AI their education learning. Design/methodology/approach used a survey method how at Indian Universities perceived incorporation assessed its on educational activities. Both qualitative quantitative data were gathered for using questionnaire. After administering constructed questionnaire, 175 responses received out calculated sample size 384 respondents. The was statistically analysed Jeffreys’s Amazing Statistics Programme (JASP) (Version 0.16.3.0; JASP Team, 2022) MAXQDA 24 (VERBI Software, 2024). Findings findings reveal that male are relatively more aware academic writing, with mean scores ranging from 2.394 3.385, compared female ChatGPT, QuillBot Grammarly most prominent accessing via smartphones. analysis two open-ended questions revealed mixed perceptions towards use indicating usage is beneficial only shorter period. Several issues highlighted like inadequate technical assistance, skills constraints, poor connectivity infrastructure. These have been categorised positive negative opinions recognising AI’s potential. Originality/value revolves around adoption India, unique region distinct geographical demographic characteristics. It understand select settings – first kind best authors’ knowledge. Moreover, this sheds light potential difficulties, perspectives influencing landscape integration education, providing insightful information about dynamics contexts.

Язык: Английский

Процитировано

0
University Students’ Usage of Generative Artificial Intelligence for Sustainability: A Cross-Sectional Survey from China DOI Open Access
Xiao Lin, How Shwu Pyng, Ahmad Fauzi Mohd Ayub

и другие.

Sustainability, Год журнала: 2025, Номер 17(8), С. 3541 - 3541

Опубликована: Апрель 15, 2025

The rapid development of generative artificial intelligence (GenAI) technology has triggered extensive discussions about its potential applications in sustainable higher education. Based on the acceptance model (TAM) and task–technology fit (TTF) theory, this research aimed to investigate current situations challenges Chinese university students using GenAI four typical task scenarios. This was performed a cross-sectional design. data were collected via questionnaire, with 486 undergraduates from participating. analysis methods include descriptive statistics, inferential content analysis. results show that more than 70% actively use GenAI, but nearly half them are not very proficient use. Doubao ERNIE Bot tools they prefer most. primary functions text production information retrieval. They mainly learn relevant knowledge skills through self-media knowledge-sharing platforms. Among scenarios, is widely used course learning activities, while application daily life job search relatively limited. demographic variables shows grade major have significant impact students’ GenAI. In addition, suggest universities should offer courses or lectures provide comprehensive technical support improve popularity operability study provides suggestions for universities, education administration departments, departments services. It will help optimize allocation educational resources promote equity sustainability.

Язык: Английский

Процитировано

0
The AI attribution gap: Encouraging transparent acknowledgment in the age of AI DOI
Gilles E. Gignac

Intelligence, Год журнала: 2024, Номер 108, С. 101880 - 101880

Опубликована: Дек. 3, 2024

Язык: Английский

Процитировано

0
Can AI Level the Playing Field? How AI-Assisted Assessment Impacts Gender Bias in Student Evaluations of Marketing Instructors DOI Creative Commons
Michelle Cowan, Gavin L. Fox, Keri M. Larson

и другие.

Journal of Marketing Education, Год журнала: 2024, Номер unknown

Опубликована: Дек. 18, 2024

Marketing instructors increasingly are using artificial intelligence (AI) to improve efficiency in course planning and assessment. However, scholarship has yet show how such use impacts student evaluations, which often skewed by gender bias. Toward this aim, we conducted a quasi-experiment college-student participants viewed work along with instructor feedback under four experimental conditions. In one condition, were told the grade written and, another, that was generated an AI tool trained instructor. Instructor also manipulated. Participants evaluated assessment measures of agency competence. We found perceptions competence higher for male than female who did not tool. when used AI, marked reductions differences occurred. These findings suggest complicates enough potentially level playing field instructors. universally more negative created regardless gender. Therefore, attempts as should be made caution.

Язык: Английский

Процитировано

0