Skip to content
Eurasian Journal of Educational Research

Eurasian Journal of Educational Research

An Open Access Journal | Print ISSN : 1302-597X | e-ISSN : 2528-8911

Menu
  • Home
  • Archives
  • Journal Details
    • Editorial Team
    • Aims and Scope
    • Peer Review Policy
    • Ethical Principles and Publication Policy
    • Publication fee
  • Abstracting and Indexing
  • Instructions For Authors
  • Login
  • Register
  • Contact

The influence of the artificial intelligence capabilities of higher education institutions in Iraq on students' academic performance: The role of AI-based technology application as a mediator

  • Haady Abdilnibi Altememy , College of Islamic Sciences / The Islamic university in Najaf, Iraq
  • Bahira Abdulrazzaq Mohammed , Department of medical engineering / Al-Hadi University College Baghdad, 10011, Iraq.
  • Mizher Khlif Hsony , Al-Manara College for Medical Sciences/ (Maysan) / Iraq.
  • Aalaa Yaseen Hassan , Department of education / Al-Nisour University College / Baghdad / Iraq.
  • Rabaa Mazhair , English Department, college of education / Al-Farahidi University /Baghdad Iraq.
  • Imad Ibrahim Dawood , Department of Media / Mazaya University College / Iraq.
  • Isra Shakir Hassan Al Jouani , College of Arts, Department of Media / Al-Esraa University, Baghdad / Iraq.
  • Sajad Ali Zearah , Scientific Research Center, Al-ayen University, Thi-Qar, Iraq
  • Hedab Rasoul Sharif , College of Nursing / National University of Science and Technology, Dhi Qar, Iraq

ABSTRACT

Objective: Artificial intelligence (AI) plays a crucial role in promoting unbiased and effective advancements in the field of education. The benefits of these state-of-the-art technologies in the areas of teaching methods and the acquisition of knowledge have attracted considerable attention in current discussions. The present study aims to investigate the influence of artificial intelligence capabilities (AIC) within Iraqi higher education institutions on students' academic performance. Additionally, the study has also investigated the mediating role of AI-based technology applications (AIBTA). Methodology: The research employed a quantitative survey-based approach to gather data, utilizing a questionnaire as the data collection instrument. For the analysis, Smart-PLS 3, a software tool known for its implementation of the PLS-SEM (partial least squares structural equation modeling) analysis method, was utilized (Sarstedt et al., 2022). The study achieved a response rate of 64.3 percent from the participants. Results: The findings of the study reveal a significant influence of AIBTA (Artificial Intelligence-Based Teaching and Assessment) on student performance within the context of Iraqi higher education. Moreover, there exists a positive and notable correlation between the AI capabilities integrated into Iraqi higher education and the academic achievements of university students in Iraq. The study's results also suggest that AI capabilities substantially impact the AIBTA framework within Iraqi higher education. Furthermore, the mediating role of AIBTA in Iraqi higher education is identified in relation to the relationship between the AI capabilities of the educational system and the academic performance of university students in Iraq. Implication: The outcomes of this study hold considerable implications for the landscape of higher education in Iraq. The results underscore that the incorporation of AI-driven technology bears a substantial influence on students' academic achievements. This relationship serves as a pivotal connection, linking the AI capabilities present within higher education institutions to the attainment of academic excellence by students. Novelty: This study stands as one of the pioneering efforts in exploring the realm of AIBTA within the context of Iraqi higher education.

Download PDF
Original Article, 2023 Issue 104

Browse Issues

Register
Login
Archives
Make Submission

More Information


Eurasian Journal of Educational Research 2025 . Powered by WordPress

Eurasian Journal of Educational Research