Artificial Intelligence Enhancing Pedagogy: Investigating Teaching App Adoption Among School and Higher Education Instructor

This study is conducted to learn the factors influencing faculty members' adoption of online teaching apps. The study also understands the app available for online teaching, how online teaching differs from traditional teaching, technology adoption in teaching, factors supporting technology adoption, challenges in technology adoption, models for technology adoption in online teaching, and contributes to the available literature on the topic. Empirical data was gathered from the teachers who had been teaching online in schools and colleges. A self-made questionnaire was circulated for responses. It was based on established measurement scales. The Items of the questionnaire were screened by a panel of Professors at various schools as well as colleges. The scales were adjusted per the modest language and application changes and substitutions suggested by this panel. The finding of the research demonstrates that sudden changes in the teaching method from offline to online led to certain challenges for teachers. The research identifies certain factors of Online Teaching app adoption by teachers which included: "Usability and Productivity" and "Necessary and Recommended". The answers to the research provide vital suggestions to the policymakers of the schools, colleges, and coaching to inspire online teaching and respond to emergencies in a better way.

Authors

Institutions

Publication Details

Published
2025-03-06
DOI
https://doi.org/10.1109/iatmsi64286.2025.10985582
Primary Topic
Technology-Enhanced Education Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial Intelligence Enhancing Pedagogy: Investigating Teaching App Adoption Among School and Higher Education Instructor

Sneha Rajput, Tarika Singh, Seema Mehta
Technology-Enhanced Education Studies
article

Artificial Intelligence Enhancing Pedagogy: Investigating Teaching App Adoption Among School and Higher Education Instructor

Sneha Rajput, Tarika Singh, Seema Mehta
article en

Abstract

This study is conducted to learn the factors influencing faculty members' adoption of online teaching apps. The study also understands the app available for online teaching, how online teaching differs from traditional teaching, technology adoption in teaching, factors supporting technology adoption, challenges in technology adoption, models for technology adoption in online teaching, and contributes to the available literature on the topic. Empirical data was gathered from the teachers who had been teaching online in schools and colleges. A self-made questionnaire was circulated for responses. It was based on established measurement scales. The Items of the questionnaire were screened by a panel of Professors at various schools as well as colleges. The scales were adjusted per the modest language and application changes and substitutions suggested by this panel. The finding of the research demonstrates that sudden changes in the teaching method from offline to online led to certain challenges for teachers. The research identifies certain factors of Online Teaching app adoption by teachers which included: "Usability and Productivity" and "Necessary and Recommended". The answers to the research provide vital suggestions to the policymakers of the schools, colleges, and coaching to inspire online teaching and respond to emergencies in a better way.

IIHMR University (IN), Atal Bihari Vajpayee Indian Institute of Information Technology and Management (IN)
Quality Education
Openalex Percentile: Top 90%
Technology-Enhanced Education Studies
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.