Exploration of Strengthening Lecturer Performance in the Education Era through AI-Driven Instructional Design Capability and Data-Informed Teaching Decision Making
Abstract
The acceleration of digital transformation in higher education institutions underscores the urgent need to understand the mechanisms linking artificial intelligence capabilities to faculty performance enhancement. This study aims to test an integrative model positioning AI-Driven Instructional Design Capability (X1) and Data-Informed Teaching Decision Making (X2) as exogenous variables, with Teaching Innovation Agility (Y1) and Learning Outcome Personalization (Y2) as mediators toward Faculty Performance Enhancement (Z). A quantitative cross-sectional survey approach was applied to 251 active lecturers in Indonesia selected through purposive sampling. Analysis employed CB-SEM using IBM SPSS AMOS version 23. Findings reveal that X1 significantly influences Y1 (β = 0.183) and Y2 (β = 0.175), while X2 exerts a dominant effect on Y1 (β = 0.790) but not directly on Y2. Y2 is confirmed as the primary predictor of Z (β = 0.555), with mediation analysis establishing X1 → Y2 → Z and Y1 → Y2 → Z as the strongest operative pathways. Universities are advised to prioritize structured data literacy training and systematic development of AI-based instructional design capabilities among faculty.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Asmawi, Renita, Ryan Pratiwa Putra, Rendi Kurniawan, Atikah
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
All articles published in the Philippine Journal of Basic Studies (PJBS) are made available under an open-access license to promote the free dissemination of scholarly knowledge while protecting the rights of authors.
Creative Commons License
Unless otherwise stated, published works are licensed under the Creative Commons Attribution–NonCommercial 4.0 International License (CC BY-NC 4.0).
Under this license, users are permitted to:
-
Share — copy and redistribute the material in any medium or format
-
Adapt — remix, transform, and build upon the material
-
Use for educational and research purposes
Under the following conditions:
-
Attribution — Proper credit must be given to the author(s) and the journal, including a citation of the original publication.
-
NonCommercial — The material may not be used for commercial purposes without prior written permission from the publisher and/or author(s).
-
No Additional Restrictions — Users may not apply legal or technological measures that restrict others from exercising the rights granted by the license.
Author Rights
Authors retain copyright of their work and grant the Philippine Journal of Basic Studies the right of first publication. Authors may:
-
Share their published article on personal websites, institutional repositories, or academic platforms
-
Use the work for teaching, presentations, or future research
-
Distribute copies for non-commercial academic purposes
Proper acknowledgment of the journal as the original source of publication is required.
Third-Party Material
Any third-party content included in an article (such as images, tables, or data) may be subject to separate copyright restrictions. Users must obtain permission from the original copyright holder when required.
Disclaimer
The license applies only to the content of the articles and does not imply endorsement by the Philippine Technical Institute or the Editorial Board. The responsibility for the accuracy and opinions expressed in the articles rests solely with the authors.
