Ethical challenges in robotic process automation and its implications on the teaching and learning of cources in tertiary institutions

ABSTRACT: The study examined the ethical challenges in robotic process automation and its implications on the teaching and learning of courses in tertiary institutions. The descriptive research design of the survey type was used in this study. The population for the study comprised of all Business Education students from EKSU, BOUESTI and FUOYE and 18 lecturers. The sample for the study consisted of 206 respondents selected using stratified sampling techniques. A self-designed questionnaire titled “Ethical Challenges in Robotic Process Automation (ECRPAQ)” was the instrument used for the study. The findings indicated that there is no significance relationship between ethical challenges of robotic process automation and the level of its availability in tertiary institutions, its usage for teaching and learning and its impact on the teaching and learning of courses in tertiary institutions. The study recommended that there is an urgent need for increased investment in RPA infrastructure and resources. Also, institutions should explore implementing other RPA tools such as automated grading systems, virtual tutors, and course management systems. Institutions should develop and implement comprehensive RPA education programs. These programs should cover both technical skills and ethical considerations, ensuring students are well-prepared for the challenges and opportunities of RPA in various sectors. Keywords: robotic process, automation, implications

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-05
DOI
https://doi.org/10.5281/zenodo.14807764
Primary Topic
Robotic Process Automation Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Ethical challenges in robotic process automation and its implications on the teaching and learning of cources in tertiary institutions

Zenodo (CERN European Organization for Nuclear Research)
Robotic Process Automation Applications
article

Ethical challenges in robotic process automation and its implications on the teaching and learning of cources in tertiary institutions

article en

Abstract

ABSTRACT: The study examined the ethical challenges in robotic process automation and its implications on the teaching and learning of courses in tertiary institutions. The descriptive research design of the survey type was used in this study. The population for the study comprised of all Business Education students from EKSU, BOUESTI and FUOYE and 18 lecturers. The sample for the study consisted of 206 respondents selected using stratified sampling techniques. A self-designed questionnaire titled “Ethical Challenges in Robotic Process Automation (ECRPAQ)” was the instrument used for the study. The findings indicated that there is no significance relationship between ethical challenges of robotic process automation and the level of its availability in tertiary institutions, its usage for teaching and learning and its impact on the teaching and learning of courses in tertiary institutions. The study recommended that there is an urgent need for increased investment in RPA infrastructure and resources. Also, institutions should explore implementing other RPA tools such as automated grading systems, virtual tutors, and course management systems. Institutions should develop and implement comprehensive RPA education programs. These programs should cover both technical skills and ethical considerations, ensuring students are well-prepared for the challenges and opportunities of RPA in various sectors. Keywords: robotic process, automation, implications

Zenodo (CERN European Organization for Nuclear Research)
Ekiti State University (NG)
Industry, innovation and infrastructure
Openalex Percentile: Top 45%
Robotic Process Automation Applications
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Ethical challenges in robotic process automation and its implications on the teaching and learning of cources in tertiary institutions · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS