Leveraging Artificial Intelligence In Project-Based Service Learning To Advance Sustainable Development: A Pedagogical Approach For Marketing Education DOI
Chelsie Dubay, Melanie B. Richards

Marketing Education Review, Год журнала: 2024, Номер 34(4), С. 307 - 323

Опубликована: Окт. 1, 2024

Artificial intelligence (AI) has revolutionized various aspects of teaching and learning in higher education, with the potential to significantly enhance experiences, streamline administrative tasks, foster personalized education. As use AI by students instructors expands, it is crucial carefully consider both its benefits risks, as well adhere ethical guidelines best practices. A systematic literature review was conducted investigate application experiential theory marketing particularly focusing on integration new technologies tools, such AI, within project-based service (PBSL). This explores how these integrations may positively impact student outcomes, community partner benefits, contributions toward United Nations' Sustainable Development Goals (SDGs). Specifically, classroom advance goals examined utilizing Intelligence for Service Learning Experiential Education (AISLE) model. model advocates an approach using educational settings, leveraging theory-based innovative practices achieve positive, measurable outcomes partners.

Язык: Английский

Integration of Artificial Intelligence in Virtual Reality-Based Learning DOI Creative Commons
Achmad Shabir, Herwin Herwin,

Asriadi Asriadi

и другие.

Data & Metadata, Год журнала: 2025, Номер 4, С. 859 - 859

Опубликована: Март 19, 2025

The integration of Artificial Intelligence (AI) and Virtual Reality (VR) in education presents a promising opportunity to create immersive adaptive learning environments, but research on the both is very rare for case elementary school education. Most studies only focus standalone study one technologies. focuses analyzing impact relationship between AI VR environments over time, hence it will employ longitudinal data collection time series analysis understand trends patterns. subjects this were fifth grade students, aged 11 12 years. This involves observation form outcome tests at several points determine how develops classroom affects outcomes. Data was analyzed using trend with approach. results show that VR-based gives positive student findings Quadratic Trend Model (QTM) most accurate model measuring trends.

Язык: Английский

Процитировано

0
Leveraging Artificial Intelligence In Project-Based Service Learning To Advance Sustainable Development: A Pedagogical Approach For Marketing Education DOI
Chelsie Dubay, Melanie B. Richards

Marketing Education Review, Год журнала: 2024, Номер 34(4), С. 307 - 323

Опубликована: Окт. 1, 2024

Artificial intelligence (AI) has revolutionized various aspects of teaching and learning in higher education, with the potential to significantly enhance experiences, streamline administrative tasks, foster personalized education. As use AI by students instructors expands, it is crucial carefully consider both its benefits risks, as well adhere ethical guidelines best practices. A systematic literature review was conducted investigate application experiential theory marketing particularly focusing on integration new technologies tools, such AI, within project-based service (PBSL). This explores how these integrations may positively impact student outcomes, community partner benefits, contributions toward United Nations' Sustainable Development Goals (SDGs). Specifically, classroom advance goals examined utilizing Intelligence for Service Learning Experiential Education (AISLE) model. model advocates an approach using educational settings, leveraging theory-based innovative practices achieve positive, measurable outcomes partners.

Язык: Английский

Процитировано

2