International Journal of Advanced and Applied Sciences, 9(12) 2022, Pages: 162-169
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International Journal of Advanced and Applied Sciences
Journal homepage: http://www.science-gate.com/IJAAS.html
162
The integration of psychology and artificial intelligence in e-learning
systems to guide the learning path according to the learner's style and
thinking
Mohammed Elhossiny
1, 2
, Rania Eladly
2
, Abdelnasser Saber
1, 3,
*
1
Applied College, Northern Border University, Arar, Saudi Arabia
2
Faculty of Specific Education, Mansoura University, Mansoura, Egypt
3
Faculty of Computer and Information Sciences, Mansoura University, Mansoura, Egypt
ARTICLE INFO ABSTRACT
Article history:
Received 31 March 2022
Received in revised form
31 July 2022
Accepted 15 September 2022
Traditional e-learning systems fall short in many respects when it comes to
delivering content to learners in the most effective way. Research shows that
e-learning systems are not accommodative of learners’ thinking and learning
styles, which leads to poor performance. This paper proposes a way through
which this problem can be addressed. The researcher believes that the
technology of Artificial Intelligence can be integrated with the learning and
thinking styles (Psychology) of learners in an e-learning system to provide an
enriched learning experience. No attempts have been made so far to
integrate Artificial intelligence and Psychology in an e-learning environment,
making this paper unique. The paper explores this subject by designing a
system that will be termed a “smart e-learning system.” The paper sought to
propose Artificial Intelligence algorithms that will be applied to the learning
and thinking styles of learners to come up with highly adaptive models for
each student that enhances their learning experience. The significant
difference in the performance of the control group and experimental group
confirms that if psychology and AI are integrated, there is a significant
improvement in the student learning experience in an e-learning system.
This shows that Artificial Intelligence can work well with Psychology to
enhance the learning experience in the e-learning environment.
Keywords:
Psychology
Artificial intelligence
Smart e-learning system
© 2022 The Authors. Published by IASE. This is an open access article under the CC
BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
1. Introduction
*The advancement in technology has offered
many opportunities for e-learning systems to be
highly dynamic and adaptive to the needs of the
learner (Tawafak et al., 2019). The evolution of e-
learning systems is designed to overcome previous
limitations of traditional e-learning systems, avoid
information overload, aid students in selecting
learning material, and maintain student interest
(Rodrigues et al., 2019). This paper uses the same
idea to utilize the student model and the technology
of Artificial Intelligence to make the system smart.
This increases the quality of the learning experience
for each student’s styles of thinking and learning are
built into the learning system, allowing learners to
* Corresponding Author.
Email Address: nassersaber2009@gmail.com (A. Saber)
https://doi.org/10.21833/ijaas.2022.12.020
Corresponding author's ORCID profile:
https://orcid.org/0000-0001-8991-0518
2313-626X/© 2022 The Authors. Published by IASE.
This is an open access article under the CC BY-NC-ND license
(http://creativecommons.org/licenses/by-nc-nd/4.0/)
take ownership of the system (Isaias et al., 2017).
The technology that is adopted in this research is
Artificial intelligence, which will be defined clearly in
the coming sections. The researcher believes that
when the algorithms of Artificial Intelligence are
integrated with one of the most important factors in
education; the learning and thinking style of a
learner, performance, and experience of students
increase. The system automatically classifies
learners according to their learning styles and
monitors their performance to adjust the way
learning is delivered to them. It has been found that
when learners’ style of thinking and learning; which
is defined by Nielsen (2019) as the student model, is
built into the education system, students feel
comfortable and emotionally rich, which will
improve their performance in the class.
Definitions of the word e-learning seem to vary
considerably depending on the researcher’s goal.
“What is e-learning?” (ATD, 2022) argued that there
are too many definitions of e-learning and most of
which depend on what the researcher is looking for.
Global Partnership for Education defines e-learning
as a type of learning conducted digitally via