Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Artificial Intelligence Tools Usage: A Structural Equation Modeling of Undergraduates’ Technological Readiness, Self-Efficacy and Attitudes
by
Kok, Petrus Jacobus
, Falebita, Oluwanife Segun
in
Artificial intelligence
/ Artificial intelligence literacy
/ Attitudes
/ Automation
/ Beliefs
/ Classroom Desegregation
/ Computers
/ Developed Nations
/ Education
/ Educational Technology
/ Electronic Learning
/ Engineering/Technology Education
/ Higher Education
/ Independent Study
/ Influence of Technology
/ Intelligent Tutoring Systems
/ Learning Experience
/ Literature Reviews
/ Mathematics Education
/ Perceptions
/ Preservice Teacher Education
/ Preservice teachers
/ Research Article
/ Science Education
/ Self Efficacy
/ Structural Equation Models
/ Teacher Education Programs
/ Teaching Methods
/ Technology adoption
/ Undergraduate Students
2025
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Artificial Intelligence Tools Usage: A Structural Equation Modeling of Undergraduates’ Technological Readiness, Self-Efficacy and Attitudes
by
Kok, Petrus Jacobus
, Falebita, Oluwanife Segun
in
Artificial intelligence
/ Artificial intelligence literacy
/ Attitudes
/ Automation
/ Beliefs
/ Classroom Desegregation
/ Computers
/ Developed Nations
/ Education
/ Educational Technology
/ Electronic Learning
/ Engineering/Technology Education
/ Higher Education
/ Independent Study
/ Influence of Technology
/ Intelligent Tutoring Systems
/ Learning Experience
/ Literature Reviews
/ Mathematics Education
/ Perceptions
/ Preservice Teacher Education
/ Preservice teachers
/ Research Article
/ Science Education
/ Self Efficacy
/ Structural Equation Models
/ Teacher Education Programs
/ Teaching Methods
/ Technology adoption
/ Undergraduate Students
2025
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Artificial Intelligence Tools Usage: A Structural Equation Modeling of Undergraduates’ Technological Readiness, Self-Efficacy and Attitudes
by
Kok, Petrus Jacobus
, Falebita, Oluwanife Segun
in
Artificial intelligence
/ Artificial intelligence literacy
/ Attitudes
/ Automation
/ Beliefs
/ Classroom Desegregation
/ Computers
/ Developed Nations
/ Education
/ Educational Technology
/ Electronic Learning
/ Engineering/Technology Education
/ Higher Education
/ Independent Study
/ Influence of Technology
/ Intelligent Tutoring Systems
/ Learning Experience
/ Literature Reviews
/ Mathematics Education
/ Perceptions
/ Preservice Teacher Education
/ Preservice teachers
/ Research Article
/ Science Education
/ Self Efficacy
/ Structural Equation Models
/ Teacher Education Programs
/ Teaching Methods
/ Technology adoption
/ Undergraduate Students
2025
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Artificial Intelligence Tools Usage: A Structural Equation Modeling of Undergraduates’ Technological Readiness, Self-Efficacy and Attitudes
Journal Article
Artificial Intelligence Tools Usage: A Structural Equation Modeling of Undergraduates’ Technological Readiness, Self-Efficacy and Attitudes
2025
Request Book From Autostore
and Choose the Collection Method
Overview
This study investigates the relationship between undergraduates’ technological readiness, self-efficacy, attitude, and usage of artificial intelligence (AI) tools. The study leverages the technology acceptance model (TAM) to explore the relationships among the study’s variables. The study’s participants are 176 undergraduate students from a public university in southwestern Nigeria. The Partial Least Square Structural Equation Modeling (PLS-SEM) was used to analyze the responses from the participants. The questionnaire has six constructs measured on a 5-point Likert scale. The results show that undergraduates’ technological self-efficacy determines their usage of AI tools and perception of AI tools’ ease of use, but this does not determine their perception of the AI tools’ usefulness and attitude towards AI tools usage. Also, technological readiness was found to determine the perception of the AI tools’ usefulness, perception of AI tools’ ease of use, and technological self-efficacy among undergraduates but does not determine their usage of AI tools and attitude towards AI tools usage. In addition, undergraduates’ attitude towards AI tools was considered the primary determinant of the usage of AI tools. It was concluded that some factors determine the adoption of AI tools, which are interrelated. Educators can play a pivotal role in empowering students to harness the power of AI tools by encouraging their usage under well-coordinated guidance rather than imposing outright restrictions. By fostering AI literacy and equipping students with the knowledge and skills to navigate these innovative technologies, educators can instil the confidence and competency needed to integrate AI tools into various academic activities seamlessly.
Publisher
Springer International Publishing,Springer Nature B.V
This website uses cookies to ensure you get the best experience on our website.