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AI-SUPPORTED PROBLEM-BASED LEARNING: A PATHWAY TO DEVELOPING
STUDENTS’ CRITICAL THINKING ABILITIES
Maftuna Ruzieva
Doctoral student, Navoiy State University
https://doi.org/10.5281/zenodo.15074358
Abstract.
The integration of Artificial Intelligence (AI) into education has transformed
learning methodologies, particularly in Problem-Based Learning (PBL). This paper explores
the impact of AI-assisted PBL on students’ critical thinking development, analyzing both its
benefits and potential drawbacks. While AI-driven learning environments provide
personalized feedback, enhance engagement, and support deeper problem-solving skills,
concerns remain regarding students’ overreliance on AI-generated responses. The discussion
highlights the necessity of a balanced approach where AI serves as a cognitive partner rather
than an automation tool. The study emphasizes that AI should be designed to challenge
students’ reasoning, prompt inquiry, and encourage intellectual growth, rather than replace
human thought processes. Ultimately, the effectiveness of AI in fostering critical thinking
depends on its pedagogical integration, ensuring that technology enhances independent
learning rather than diminishing it.
Keywords
: Artificial Intelligence, Problem-Based Learning, Critical Thinking, AI-
Assisted Education, Cognitive Development, Student Engagement, Digital Learning Tools,
Independent Reasoning, Pedagogical Integration.
Introduction.
It is becoming more and more important to address the issue of fostering
critical thinking in the current curriculum, particularly when it comes to an independent
curriculum. According to studies by standard curricula frequently do not give children
enough room to develop their critical thinking abilities. Additional research supports this
pattern, showing that curricula that place an excessive emphasis on factual instruction
frequently impede the development of critical thinking abilities. Deep, analytical thinking is
increasingly becoming a rare today, even though information is abundant at our disposal. The
capacity to inquire, evaluate, and reason is fundamental today more than ever. Unfortunately,
our conventional education system doesn’t quite inculcate these skills due to the
overemphasis placed on rote learning.
Consider a classroom setting in which students actively pursue solutions to problems
rather than simply passively taking in information. An AI tutor guides them as they engage
with multifaceted problems from the real world. A student who is given a broad medical case
starts diagnosing various possibilities while an AI assistant challenges them as they work
through the case. In another scenario, a different student collaborates with a virtual colleague
to create an environmentally friendly city and is offered instant analysis of their logic,
reasoning, and ethical considerations.
This is not an episode of black mirror - this is the current reality of AI-enabled problem
based learning (PBL). As the outdated education system fails to cope with the pace of modern
problems, there is a clear reliance on artificial intelligence to solve the gap between theory
and practice. The core question remains does AI fuel students abilities to critically analyze,
self-solve, and make educated decisions. This is the question we attempt to answer, and for
the purposes of this article we will analyze how AI assists PBL models. We seek to understand
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AI’s role in problem-based learning not merely as an automation tool, but an active
collaborator who prompts students to rethink their reasoning and how they acquire
knowledge. Through this examination, we will attempt to find out if the technology is the
answer for encouraging deep thinking or just another digital veil.
In recent years, Problem Based Learning (PBL) has gradually emerged as an innovative
approach designed to enhance critical thinking by means of authentic problems. However, the
implementation of authentic PBL is never simple, and it certainly does require skilled
facilitators, personalization, and constant feedback, which is quite impossible to achieve in a
traditional classroom setting.
This is where Artificial Intelligence (AI) comes into play. The rapid development in AI
technology has led to the emergence of new educational tools that promise intelligent
tutoring, feedback, and individualized learning environments. PBL has the potential, through
AI, to engage learners in thinking, reasoning, and complex learning goals. But does AI truly
facilitate critical thinking among learners, or does it run the risk of overly structuring
education to the extent that fosters no real understanding of the content being taught?
Literature review.
Particularly in Problem-Based Learning (PBL) settings, the
integration of artificial intelligence (AI) into education has spurred discussions on its possible
ability to improve or impede students's critical thinking skills. Research already in publication
emphasises the advantages and drawbacks of artificial intelligence-assisted learning, thus it is
imperative to investigate the degree to which AI helps to foster higher order cognitive skills
development.
Critical thinking and artificial intelligence: the prospects
. Many research confirm
that carefully integrated artificial intelligence can improve students' capacity for critical
thinking. Darwin et al. (2024) investigated EFL students' opinions of AI in critical thinking
development and found that, especially in language-based thinking, learners found AI tools
useful in honing their analytical and evaluative skills, so improving their critical thinking
development. Likewise, Khairi and Alhafidh (2024) looked at ways to include artificial
intelligence into PBL in higher education, showing that AI tools provide personalised
feedback, data-driven insights, and adaptive learning paths—all of which help to increase
deeper involvement with problem-solving. This viewpoint was strengthened by a 2024
Lawasi, Rohman, and Shoreamanis study showing how AI-facilitated education enhanced
students' capacity to critically evaluate arguments and synthesise difficult data. Likewise, AI-
driven learning environments helped students to adopt a more analytical approach to
learning, so enabling them to engage more deeply with problem-solving tasks. Murphy's
(2024) longitudinal study, which shows that consistent PBL—especially when supported by
AI—significantly enhances students' analytical thinking and decision-making skills, supports
this further. In a similar vein, O'Brien (2024) systematically examined AI-enhanced PBL
models and came to the conclusion that digital tools provide customised learning experiences
and real-time scaffolding, so enabling cognitive engagement. Beyond broad problem-solving
to subject-specific applications, the efficiency of artificial intelligence-assisted learning goes.
AI-enhanced discussions and feedback systems improved students' text interpretation skills
and their capacity to generate independent analyses, according to Liu and Wang's (2024)
intervention research on EFL learners in English literature classes. Likewise, Thompson
(2021) underlined how digital storytelling supported by artificial intelligence promotes
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creativity and deeper knowledge in PBL environments, so supporting its function in the
growth of critical thinking.
Challenges and Risks of AI in Critical Thinking Development.
While there are some
encouraging findings, there are still valid worries about how AI might affect students' ability
to think critically. Çela, Fonkam, and Potluri (2024) pointed out several significant risks tied
to AI-assisted learning, suggesting that leaning too heavily on AI tools could weaken students'
skills in original problem-solving and critical thinking. Similarly, Zhou’s (2021) research
supported this idea, revealing that students who frequently relied on AI-generated answers
showed less initiative in problem-solving compared to their peers who participated in
traditional problem-based learning (PBL) models.
Additionally, Novtiana and Nuaimah (2025) pointed out that while AI can really boost
problem-solving skills, relying too much on structured AI feedback might make students lean
on automated answers instead of honing their own reasoning abilities. This is in line with the
findings from the study titled “Implementation of a Problem-Based Learning Model with AI
Assistance,” which indicated that although AI can spark creativity and engagement, overusing
it might actually hinder students from exploring solutions on their own. Another concern
revolves around the ethical and educational implications of AI in learning. The research on
“Risks of AI-Assisted Learning on Student Critical Thinking” (2024) warned that AI’s knack for
providing instant responses could diminish students’ motivation to dive deep into reflection
and grapple with complex problems—an essential part of cognitive growth.
Balancing AI and Human-Centered Learning Approaches.
Given the varied
perspectives on AI’s role in education, researchers emphasize the importance of a well-
balanced approach. Rather than acting as a simple automation tool, AI should function as a
cognitive partner that enhances learning while preserving student agency. Murphy (2024)
and O’Brien (2024) argue that AI is most effective when it complements, rather than replaces,
student-led inquiry. In the context of problem-based learning (PBL), this means designing AI
tools that support independent reasoning instead of offering ready-made solutions.
A study on AI integration in higher education underscores the necessity of human
oversight in AI-assisted learning. It advocates for a hybrid approach in which AI provides
scaffolding and formative feedback, while educators guide discussions and encourage
metacognitive reflection. This ensures that students engage in deeper learning rather than
relying solely on AI-generated responses.
The effectiveness of AI in education also depends on how it is implemented within
specific subject areas. For instance, Liu and Wang (2024) found that AI-enhanced discussions
improved analytical writing in English literature courses, but only when paired with teacher-
facilitated reflection. Likewise, Thompson (2021) highlights that AI in digital storytelling
should be used as a tool to stimulate inquiry and critical thinking, rather than as a mechanism
for delivering predetermined answers.
Ultimately, the success of AI in education hinges on its ability to enrich, rather than
replace, the learning process. AI should encourage students to think critically, engage with
complex problems, and develop independent reasoning skills, ensuring that technology serves
as a means of intellectual empowerment rather than passive instruction.
Discussion
. In order to promote critical thinking abilities, integrating AI into education
presents both a huge challenge and an unparalleled opportunity. Theoretically, AI-assisted
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learning environments could revolutionise education by helping students solve complex
problems, offering real-time feedback, and personalising instruction. However, how AI is used
will determine how well it improves critical thinking. Whether AI promotes intellectual
development or unintentionally impairs students' capacity for independent thought is a
significant worry.
The potential risk of cognitive dependency is among the most disregarded features of AI
in education. Students may avoid the more complex cognitive processes needed for critical
thinking if they are given instant AI-generated answers. Struggle, introspection, and revision
are processes that demand work and uncertainty but lead to true intellectual development. AI
runs the risk of undermining the very abilities it seeks to foster if it is built to offer methodical,
structured solutions without promoting questioning and reasoning. Therefore, AI shouldn't be
considered as a tool that facilitates learning easier but rather as an approach that challenges
students to become more involved in deeper inquiry.
Furthermore, while AI is very good at analysing data, finding patterns, and generating
logical outputs, it is not as good at subjective reasoning, moral deliberation, or creative
problem-solving as humans are. Therefore, if AI is to be used in education, it must be used to
stimulate critical thinking rather than automate cognitive processes, which calls for a
paradigm shift in instructional design—AI should not just provide information but should
encourage students to question, analyse, and evaluate that information. Additionally, critical
thinking is fundamentally a human skill that is intrinsically linked to context, ambiguity, and
ethical considerations.
Additionally, educators continue to play an essential role. AI shouldn't take the place of
teachers in facilitating dialogue, dispelling myths, and encouraging metacognition. Rather, it
ought to act as a cognitive partner that fosters discussion and investigation. Instead of
allowing students to passively absorb AI-generated insights, educators must create AI-
enhanced learning experiences that encourage critical thinking.
Conclusion.
The future of AI in education should prioritize the development of adaptive
and interactive models that inspire independent thinking rather than simply delivering
predetermined outcomes. Instead of giving students straightforward answers, AI should
challenge their reasoning, present counterarguments, and encourage deeper reflection.
Learning should not be about making things easier, but about making the process more
engaging and intellectually stimulating.
The real question is not whether AI can support critical thinking, but how it should be
designed and used to truly enhance students’ ability to think critically. When implemented
thoughtfully, AI has the potential to enrich learning, encouraging students to explore ideas
more deeply rather than passively absorbing information. Ultimately, AI itself is not the
determining factor—what matters is how educators integrate it into teaching strategies to
cultivate meaningful intellectual growth.
Foydalanilgan adabiyotlar/Используемая литература/References:
1.
Darwin, D., Rusdin, D., Mukminatien, N., Suryati, N., Laksmi, E. D., & Marzuki. (2024).
Critical thinking in the AI era: An exploration of EFL students’ perceptions, benefits, and
limitations. ResearchGate.
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2.
Khairi, F., & Alhafidh, F. Y. (2024). Integrating AI Tools in Support of Problem-Based
Learning
in
Higher
Education:
Strategies,
Implications,
and
Future
Directions.
DOI:10.13140/RG.2.2.33479.10405.
3.
Lawasi, M. C., Rohman, V. A., & Shoreamanis, M. (2024). The Use of AI in Improving
Student’s Critical Thinking Skills. DOI:10.30595/pssh.v18i.1279.
4.
Musali, S., & Vermeulen, M. (2024). AI-Driven Learning: Enhancing Critical Thinking
Through Technology-Integrated Pedagogy. DOI:10.13140/RG.2.2.31693.45285.
5.
Murphy, O. (2024). Investigating the relationship between problem-based learning and critical
thinking skills: A longitudinal study. Higher Education Research & Development, 41(5), 893-910.
6.
O’Brien, K. (2024). Enhancing problem-based learning through digital tools: A systematic
review. Journal of Computer Assisted Learning, 40(3), 309-326.
7.
Liu, W., & Wang, Y. (2024). The Effects of Using AI Tools on Critical Thinking in English
Literature Classes Among EFL Learners: An Intervention Study. European Journal of Education,
59(e12804). DOI:10.1111/ejed.12804.
8.
Thompson, C. (2021). Enhancing problem-based learning through digital storytelling: A case
study in education literature. Journal of Digital Learning in Teacher Education, 37(2), 148-162.
9.
Çela, E., Fonkam, M., & Potluri, R. M. (2024). Risks of AI-Assisted Learning on Student
Critical Thinking. International Journal of Risk and Contingency Management, 12(1), 1-19.
DOI:10.4018/IJRCM.350185.
10.
Zhou, W. (2021). The impact of problem-based learning on student critical thinking skills: A
longitudinal study. Higher Education Research & Development, 38(6), 1115-1230.
11.
Novtiana, R., & Nuaimah, S. (2025). Implementation Of A Problem Based Learning Model
With The Assistance Of AI To Improve Students’ Critical Thinking Abilities And Creativity.
DOI:10.22202/mamangan.v12i3.8281.
