Infusing Artificial Intelligence in Higher Learning Institutions by Re imagining Education for the Future

The landscape of higher education is undergoing a paradigm shift with the infusion of Artificial Intelligence (AI). This article critically explores the potential of AI to reshape the learning experience within universities and colleges. We examine how AI can personalise learning journeys, enhance student support, and empower educators to deliver a more effective and engaging educational experience (Bates, 2019). The key considerations of this study are: personalised learning paths, intelligent tutoring and assistance, enhanced assessment and feedback, data-driven decision-making, and empowering educators. The challenges with the infusion are noted to be ethical considerations, faculty development and training, and inclusive learning design. The study employs a mixed methodology approach, the researchers collect and analyse both quantitative and qualitative data within the same study. A target population of 25 lecturers were interviewed to find out how AI is, and continues to reshape teaching and learning in higher institutions. About 50 learners also take part in the study by completing online surveys that ascertain how AI is aiding in their learning. The use of a mixed method approach helps to reach more participants and validate the data. It helps the researchers to gain a broader understanding of the investigation and triangulate the data. The infusion of AI in higher learning institutions presents a unique opportunity to personalise learning, enhance student support, and empower educators. By addressing ethical concerns, fostering faculty development, and prioritizing inclusive design, AI can become a powerful tool for reshaping higher education into a more effective, engaging, and equitable learning environment for the future.

Authors

Institutions

Publication Details

Journal
Oikos The Zimbabwe Ezekiel Guti University bulletin of Ecology Science Technology Agriculture Food Systems Review and Advancement
Published
2025-03-07
DOI
https://doi.org/10.71458/85rdhd97
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Infusing Artificial Intelligence in Higher Learning Institutions by Re imagining Education for the Future

Ruvimbo Gomo, Trust Machaya
Oikos The Zimbabwe Ezekiel Guti University bulletin of Ecology Science Technology Agriculture Food Systems Review and Advancement
Online Learning and Analytics
article

Infusing Artificial Intelligence in Higher Learning Institutions by Re imagining Education for the Future

Ruvimbo Gomo, Trust Machaya
article en

Abstract

The landscape of higher education is undergoing a paradigm shift with the infusion of Artificial Intelligence (AI). This article critically explores the potential of AI to reshape the learning experience within universities and colleges. We examine how AI can personalise learning journeys, enhance student support, and empower educators to deliver a more effective and engaging educational experience (Bates, 2019). The key considerations of this study are: personalised learning paths, intelligent tutoring and assistance, enhanced assessment and feedback, data-driven decision-making, and empowering educators. The challenges with the infusion are noted to be ethical considerations, faculty development and training, and inclusive learning design. The study employs a mixed methodology approach, the researchers collect and analyse both quantitative and qualitative data within the same study. A target population of 25 lecturers were interviewed to find out how AI is, and continues to reshape teaching and learning in higher institutions. About 50 learners also take part in the study by completing online surveys that ascertain how AI is aiding in their learning. The use of a mixed method approach helps to reach more participants and validate the data. It helps the researchers to gain a broader understanding of the investigation and triangulate the data. The infusion of AI in higher learning institutions presents a unique opportunity to personalise learning, enhance student support, and empower educators. By addressing ethical concerns, fostering faculty development, and prioritizing inclusive design, AI can become a powerful tool for reshaping higher education into a more effective, engaging, and equitable learning environment for the future.

Oikos The Zimbabwe Ezekiel Guti University bulletin of Ecology Science Technology Agriculture Food Systems Review and Advancement
Great Zimbabwe University (ZW), University of Zimbabwe (ZW)
Openalex Percentile: Top 96%
Online Learning and Analytics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.