




































BANGLADESH JOURNAL OF MULTIDISCIPLINARY SCIENTIFIC RESEARCH 9(1) (2024), 7-14 

 

7 

-  

     MULTIDISCIPLINARY SCIENTIFIC RESEARCH 

 
        BJMSR VOL 9 NO 1 (2024)  P-ISSN 2687-850X  E-ISSN 2687-8518 

 
        Available online at https://www.cribfb.com 

     Journal homepage: https://www.cribfb.com/journal/index.php/BJMSR 

                                                                                                                                                                                                    Published by CRIBFB, USA 
                                                                                                                                            

EDUCATION IN THE ERA OF ARTIFICIAL INTELLIGENCE: AN 

EVIDENCE FROM DHAKA INTERNATIONAL UNIVERSITY (DIU) 

                   
 Saikat Pande (a)1   Jannat Sharmin Moon (b)    Md. Fazlul Haque (c)    

 

(a) Lecturer, Department of Economics, Dhaka International University, Bangladesh; E-mail: saikatpande.eco@yahoo.com 
(b) Lecturer, Department of Economics, Sheikh Hasina University, Netrokona, Bangladesh; E-mail: Jannatmoon154@gmail.com 
(c) Associate Professor, Department of Sociology, Dhaka International University, Bangladesh; E-mail: fhaquesw@gmail.com 
 

 
A R T I C L E I N F O 

 
 

Article History: 
 

Received: 11th October 2023 

Reviewed & Revised: 12th October 2023 

to 8th February 2024 

Accepted: 9th February 2024 

Published: 10th February 2024 

 
Keywords: 

 

Education, Artificial Intelligence (AI),  

AI for educational purposes, Random 

sampling surveys, Privacy Concerns and 
Ethical Issues, AI tools 

 
JEL Classification Codes: 

 
      I2, O33, I21, C83, K31      

  

      Peer-Review Model:  

 

      External peer-review was done through  

      double-blind method.        

 
A B S T R A C T 

 

This study investigates the transformative impact of artificial intelligence (AI) on education, assessing 

both its advantages and drawbacks. Employing the random sampling survey method, data was collected 

from 160 participants at Dhaka International University. The respondents, predominantly aged between 

18-21 years with an average age of 20.6, exhibited varying levels of awareness regarding AI tools- 46 

percent were familiar, 44 percent somewhat aware, and 10 percent unfamiliar. Notably, 72.5 percent of 

participants gained knowledge about artificial intelligence through online sources such as websites, 

research papers, and forums. The study identified prominent AI tools used by respondents, with ChatGPT 

being the most widely employed, alongside Google Translator, Microsoft Bard, Grammarly, QuillBot, 

and YouChat. ChatGPT, in particular, found extensive application in academic studies, research, 

website development, and app development. Interestingly, 17.5 percent of respondents reported being 

paid users of AI tools. Beyond usage patterns, the research delved into the efficacy of AI in enhancing 

education, addressing privacy concerns, and exploring associated challenges, benefits, impacts, ethical 

considerations, and potential future directions. Employing a Likert scale for assessment, the study 

concludes by advocating for the integration of AI in education while underscoring the imperative for 

safeguards to mitigate potential misuse. This comprehensive exploration provides valuable insights into 

the evolving landscape of AI within the educational sector. 

 
 

© 2024 by the authors. Licensee CRIBFB, U.S.A. This open-access article is distributed under the 
terms and conditions of the Creative Commons Attribution (CC BY) license 
(http://creativecommons.org/licenses/by/4.0/).  

            

 

INTRODUCTION 

Artificial intelligence, bolstered by digital technology, has assumed a pivotal role in our daily existence, fundamentally 

reshaping our cognitive processes, behaviors, and interactions. Since its inception, AI has witnessed remarkable progress 

and expansion, notably with the rise of Artificial Neural Networks (ANN) and Deep Learning (DL) (Chan & Zary, 2019). 

The swift ascent of artificial intelligence (AI) has profoundly impacted education. AI's growth has led to discoveries 

and developments that have imprinted various aspects of daily life. Education has greatly benefited from these AI 

advancements as a vital component of societal progress and individual growth. Incorporating AI into educational systems 

is transforming the approaches to student learning, teaching methodologies, and administrative operations. AI drives a 

transformative educational shift by customizing learning experiences, automating administrative tasks, and providing 

immediate, real-time feedback. As the importance of AI in education is acknowledged, it is crucial to consider its 

implications carefully (Kamalov et al., 2023).  

When ChatGPT became available in November 2022, it marked a significant milestone in accepting AI within 

society. It’s remarkable writing and comprehension abilities captivated a broad audience, generating unprecedented interest. 

For the first time, individuals beyond the machine learning community recognized the potency and relevance of AI. The 

impact of ChatGPT is notably observed in the education sector, where AI finds application across multiple avenues, such 

as personalized learning, intelligent tutoring systems, automated assessment, and the facilitation of teacher-student 

                                                      
1Corresponding author: ORCID ID: 0000-0003-4645-4705 
© 2024 by the authors. Hosting by CRIBFB. Peer review under the responsibility of CRIBFB, U.S.A.  

https://doi.org/10.46281/bjmsr.v9i1.2186 

  
To cite this article: Pande, S., Moon, J. S., & Haque, M. F. (2024). EDUCATION IN THE ERA OF ARTIFICIAL INTELLIGENCE: AN EVIDENCE 

FROM DHAKA INTERNATIONAL UNIVERSITY (DIU). Bangladesh Journal of Multidisciplinary Scientific Research, 9(1), 7-14. 

https://doi.org/10.46281/bjmsr.v9i1.2186 

https://orcid.org/0000-0003-4645-4705
http://creativecommons.org/licenses/by/4.0/)
http://creativecommons.org/licenses/by/4.0/)
https://www.sciencedirect.com/science/article/pii/S2666920X20300023#bib27
https://www.openaccess.nl/en
https://doi.org/10.46281/bjmsr.v9i1.2186
https://orcid.org/0009-0008-6861-1250
https://orcid.org/0009-0000-8769-2350


Pande et al., Bangladesh Journal of Multidisciplinary Scientific Research 9(1) (2024), 7-14 

 

8 

collaboration. The scalability of AI allows personalized learning to be extended to every student (Wollny et al., 2021). 

Reinforcement learning stands out as an AI system adept at dynamically adapting to an individual student's needs 

and adjusting the learning experience accordingly. Intelligent tutoring systems actively engage students and provide valuable 

feedback when combined with personalized learning. Automation of assessments is another pivotal aspect of AI in 

education, with systems incorporating computer vision and natural language processing to grade assignments, tests, and 

quizzes automatically. Using artificial intelligence in education underscores the significant potential benefits these systems 

can offer. The advantages of AI include better learning outcomes, cost and time savings, accessibility to quality education 

worldwide, and other factors. Incorporating new AI technologies into the curriculum is more advantageous than impeding 

their progress in education. Khan Academy's partnership with OpenAI to integrate ChatGPT into their educational systems 

demonstrates an illustrative roadmap for implementing AI in education. The clear path forward entails embracing and 

adopting new technology while instituting safeguards to prevent potential misuse.  

This paper objective is derived from a recent literature analysis, is to delve into the potential impact of AI on 

education. This paper will revolve around three primary areas: examining applications, delineating advantages, and 

addressing challenges within this domain. 

The paper maintains a standard structure with five primary sections. The Introduction sets the stage by introducing 

the topic and research goals. Background Information provides context and reviews prior research. Materials and Methods 

outlines research materials and methodology. In Results and Discussion, the paper presents findings and discusses their 

implications. Finally, the Conclusion and Recommendations summarize vital findings and suggest directions for future 

research. 

LITERATURE REVIEW 

Several studies have been dedicated to analyzing the factors that influence artificial intelligence. Notably, significant 

research has been conducted not only in Bangladesh but also in diverse countries worldwide.  

AlAfnan et al. (2023) investigate the progressions in Artificial Intelligence and its various applications. It shows a 

role in education, particularly in communication and business writing courses. It highlights the potential for accurate 

information retrieval and idea generation but notes concern about unethical use. The study suggests improved plagiarism 

detection software is needed due to ChatGPT's adept paraphrasing capabilities.  

Besides, Baidoo-Anu and Ansah (2023) noted that ChatGPT, released in November 2022, gained rapid popularity 

for its advanced capabilities. This study assesses its educational benefits, like personalized learning and formative 

assessment support, while also noting limitations, such as misinformation and biases. Recommendations include 

collaborative efforts to enhance education with ChatGPT safely.  

Chan and Tsi (2023) also present a preprint that delves into specific topics concerning teachers, AI, and Higher 

Education. This study explores AI's role in higher education, finding that while AI may enhance teaching, human teachers 

remain irreplaceable due to qualities like critical thinking and emotions. It underscores the significance of social-emotional 

skills cultivated through human interaction. A roadmap is introduced to guide educators and students in balancing human 

and AI strengths for a holistic learning experience.  

Similarly, Cotton et al. (2023) scrutinizes innovations in education and teaching methodologies. Using AI, 

encompassing tools such as chatbots and GPT-3, in higher education showcases benefits such as heightened engagement 

and improved accessibility. Nevertheless, it also raises apprehensions regarding academic integrity and plagiarism-related 

issues. The study discusses the capabilities of these tools and their potential for misuse, emphasizing the need for universities 

to develop ethical guidelines, offer training, and employ detection methods to ensure responsible use in academia. 

Furthermore, Dwivedi et al. (2023) explore the opportunities presented by Generative AI and the ethical and legal 

challenges associated with its implementation. It highlights their potential benefits in the banking and tourism industries 

and raises concerns about privacy, biases, and misinformation. While experts differ on whether to restrict ChatGPT, the 

article identifies research areas focusing on AI skills, biases, optimal use, accuracy assessment, and ethical considerations.

 In addition, Kamalov et al. (2023) review AI's impact, highlighting applications like collaborative learning and 

personalized teaching, along with advantages and challenges. Ethical concerns are noted, but the consensus is to embrace 

AI with safeguards against misuse for sustainable educational development.  

Moreover, Lodge et al. (2023) delve into the application of Generative AI within tertiary education. AI on tertiary 

education, highlighting the need for rethinking and research in various areas. The swift advancements in generative AI are 

groundbreaking and might not have been entirely foreseen by the educational AI community. AI tools such as ChatGPT in 

research and writing underscore the continuously evolving landscape of this domain and the potential for future 

enhancements or revisions.  

Qadir (2022) examines the advantages and drawbacks of Generative AI in education. Engineering education is 

evolving with generative AI like ChatGPT, offering personalized learning and simulations. However, it has limitations, 

including biases and ethical concerns. Educators must adapt to harness AI benefits while minimizing negatives for future 

engineers.  

According to Huang et al. (2021), the increasing role of artificial intelligence (AI) in education highlights its 

applications in adaptive learning, teaching evaluation, and virtual classrooms. It emphasizes the positive impact of AI on 

enhancing teaching quality and student learning. However, it also addresses potential challenges AI in education may 

encounter in the future.  

Additionally, Miao et al. (2021) explore AI in educational policy. This paper shows that using AI in education 

balances opportunities and risks. It encompasses AI fundamentals, trends, and ethical considerations, highlighting 

advancements toward Sustainable Development Goal 4 (SDG 4) with actionable recommendations.  

Correspondingly, Borenstein and Howard (2021) scrutinize the ethical implications of Artificial Intelligence 



Pande et al., Bangladesh Journal of Multidisciplinary Scientific Research 9(1) (2024), 7-14 

 

9 

technologies. AI is transforming the world with both benefits and risks. To prepare future AI professionals and stakeholders, 

it's crucial to integrate AI ethics into education. This paper outlines AI ethics approaches and provides recommendations 

for AI ethics education.  

In addition, Knox (2020) explores the intricate relationship between government policy and private-sector 

engagement in AI education in China. It reveals regional variations and emphasizes the active role of private companies like 

New Oriental Group, TAL, and Squirrel AI in shaping the field. This interplay between the public and private sectors is 

vital in understanding China's AI education landscape.  

The existing literature predominantly emphasizes a qualitative narrative analysis of AI in education. In contrast, 

this paper will prioritize a quantitative and qualitative analysis, covering aspects such as the purpose of AI, its utilization, 

public awareness, and a comparative study of AI in education versus traditional methods. 

 

MATERIALS AND METHODS 
Data Collection Method  

This study employed a survey questionnaire to gather opinions, experiences, and attitudes toward artificial intelligence in 

education from students at Dhaka International University. The sample collection utilized random sampling across different 

departments and student batches. The research methodology is field-based, incorporating both qualitative and quantitative 

data. The questionnaire included a mix of open-ended and closed-ended questions. Data collection spanned from July to 

August 2023. 

 Cochran's sample size formula (Cochran, 1977) allows for the adjustment of sample size using the equation: 
 

n = Z^2 * p(1-p) / d^2 
 

             Where, n represents the sample size, Z is the Z-score corresponding to the desired confidence level, p denotes the 

estimated proportion or probability, and d represents the margin of error. 

If the margin of error is intended to be 6%, apply Cochran's sample size formula with this margin of error: 

 

n = (1.96) ^2 * 10000(1-10000) / (0.06) ^2 

n = 256 

Hence, considering a 6% margin of error, the recommended sample size for this research would be 256. 

Please note that these calculations offer estimations, and the sample size required may vary based on the unique 

context of your research. Consulting a statistician for personalized guidance is advisable. 

 

Tools and Techniques  

The study employed a range of tools, including percentage analysis, scaling techniques, tabulation, graphical 

representations, and calculating average means, to ensure a comprehensive and rigorous analysis. This information can be 

summarized in Table 1. 
 

Table 1. Methodologies and Techniques Employed in the Study 

 
Statistical tools Purposes Software used 

Descriptive statistics The analysis of the impact of variables reflecting students' 

aspects of artificial intelligence 

MS Word, MS Excel 

Likert Scaling The analysis of student's perception of artificial intelligence Microsoft Word, Google Docs 

 

Column chart The frequency of artificial intelligence by participants Microsoft Excel, Google Sheets, Google Data Studio 

Pie Chart The general state of growth of artificial intelligence Microsoft Excel, Google Sheets, Google Data Studio 

Source: Author’s Compilation Based Filed Survey, 2023 

 

RESULTS 

Descriptive Analysis 

Descriptive analysis portrays age (Year), education (Year of Schooling), and gender. 

 

Table 2. Descriptive Statistics 

 
Categories Subcategories Respondents Average Percentage Total 

Age of the respondents (Years) 18-21 110 20.6 68.75 260 

22-25 25 15.62 

26-28 17 10.63 

29- Above 8 5.00 

Years of Schooling 13-14 98 13.2 61.25 100 

15-16 37 23.13 

17-Above 25 15.62 

Gender Male 132  82.5 100 

Female 28 17.5 

Source: Author’s Compilation Based Filed Survey, 2023 

 



Pande et al., Bangladesh Journal of Multidisciplinary Scientific Research 9(1) (2024), 7-14 

 

10 

RESULTS AND DISCUSSIONS 

Respondents’ familiarity with the concept of Artificial Intelligence (AI) Tools 

 
Figure 1. How familiar is the concept of AI to respondents 

Source: Author’s Compilation Based Filed Survey, 2023 

 
 

From this result, the respondents are familiar with the concept of artificial intelligence (AI), with 46 percent 

categorized as very knowledgeable. This means we substantially understand AI, encompassing its foundational principles, 

various techniques, and extensive applications across different domains. Additionally, 44 percent of respondents fall under 

the category of somewhat familiar; this suggests that we have a comprehensive understanding of AI concepts and can offer 

information and insights across a broad spectrum of AI-related subjects. Only a small portion, 10 percent, is categorized as 

unfamiliar, which means there are some aspects of AI where our knowledge may be limited or less comprehensive. Overall, 

we can provide detailed information and explanations on most aspects of AI, as the result shows. 

 
 

Assess respondents' familiarity with Artificial Intelligence (AI) 

 
Figure 2. Assessing respondents' familiarity with AI 

Source: Author’s Compilation Based Filed Survey, 2023 

 
 

According to our results, artificial intelligence (AI) is primarily derived from the internet, accounting for 72.5 

percent of AI-related information. This reflects the wealth of online resources, including websites, research papers, forums, 

and other digital platforms, where we have gathered insights into AI's history, techniques, and applications. Social media 

contributes significantly, making up 23.75%, as these platforms often serve as hubs for AI discussions, news, and insights 

shared by professionals and enthusiasts. Traditional newspapers make a minor contribution at 2.5 percent, occasionally 

covering noteworthy AI events or societal impacts. Verbal communication, represented by mouth at 1.25 percent, is 

minimal, encompassing insights gained from conversations with individuals. Our understanding of AI is primarily internet-

based, supplemented by social media, newspapers, and verbal exchanges, though the internet remains the dominant source. 
 

Most AI Tools Used by the Respondent 

 

 
Figure 3. Most Uses AI tools 

Source: Author’s Compilation Based Filed Survey, 2023 

10%

44%
46%

Not familiar at all Somewhat familiar Very familiar

Internet

72.5%
Mouth

1.25%

Newspaper

2.5%

Social Media

23.75%

Percentage

186

12

55

79

24

5

0 20 40 60 80 100 120 140 160 180 200

Chat GPT

Quillbot

Microsoft Bard

Google Translator

 Grammarly

YouChat



Pande et al., Bangladesh Journal of Multidisciplinary Scientific Research 9(1) (2024), 7-14 

 

11 

The percentages we've provided represent the frequency or extent we utilize various AI tools for different tasks. 

YouChat appears to be used the least at 1 percent, suggesting minimal usage, while Grammarly is used more often at 10 

percent for grammar and writing assistance. Google Translator takes up 40 percent of your AI tool usage, likely indicating 

frequent language translation needs. Microsoft Bard holds a significant 30 percent share, indicating considerable reliance 

on it for specific tasks. Quillbot AI is utilized at 9 percent, indicating moderate use for paraphrasing or rewriting content. 

ChatGPT tops the list at 118 percent, signifying extensive reliance on it for various tasks, perhaps due to its versatile 

language capabilities. 
 

Respondent's Purposes for Using AI Programmes  

 

 
Figure 4. Purpose of using AI tools 

Source: Author’s Compilation Based Filed Survey, 2023 

 
 

              The result shows that 52% of our usage is directed towards academic study, indicating a strong focus on leveraging 

AI for educational and research purposes. Research is the second most prevalent purpose at 45 percent, suggesting a 

significant reliance on AI tools for data analysis and information gathering. Additionally, 32 percent is dedicated to self-

correction, showcasing a commitment to improving the quality of our work through AI assistance. The use of AI for creating 

websites and producing innovative concepts accounts for 8 percent and 9 percent, respectively, indicating a moderate yet 

noteworthy involvement in web development and innovation. A smaller fraction, seven percent, is allocated to reasoning 

tasks, showcasing a reliance on AI for logical thinking and problem-solving. App development commands 4% of our AI 

tool usage, implying a partial engagement in software development endeavors. 
 

 

Paid AI User 

 

 
 

Figure 5. Paid AI Tools User 
Source: Author’s Compilation Based Filed Survey, 2023 

 

 

The result shows that usage of paid AI tools is notably low, with only 17.5 percent of AI tool usage falling under 

this category. Surprisingly, 72.5 percent of users use unpaid AI tools; usage pertains to non-paid or free AI tools, indicating 

that they may prefer cost-free alternatives for AI-related needs. On the contrary, 10% of respondents do not use AI tools. 

 

 

 
 

76
86

13 16

52

12 5
0

10
20
30
40
50
60
70
80
90

100

72.5%

17.5%
10%

0

20

40

60

80

100

120

140

No Yes Don’t use any AI tools

AI Tools User



Pande et al., Bangladesh Journal of Multidisciplinary Scientific Research 9(1) (2024), 7-14 

 

12 

AI and Traditional Education System  

Table 3. Option on AI and Traditional Education System 

 
 

AI could replace traditional teaching methods in the future 
Category Frequency Percentage Cumulative Frequency 

Yes 138   

No 96   

May Be 26 10 100 

Total 260 100  

Source: Author’s Compilation Based Filed Survey, 2023 
 

 

The data we've provided shows the responses to a question regarding the potential for AI to replace traditional 

teaching methods in the future. Out of the total 160 responses, a majority, 53.12 percent, indicated a belief that AI could 

indeed replace conventional teaching methods. On the other hand, 36.88 percent expressed skepticism, stating that AI may 

not replace traditional teaching methods. A smaller portion, 10 percent, falls into the may-be category, suggesting 

uncertainty about the future role of AI in education. Overall, these results highlight a notable division of opinions, with a 

significant number of respondents considering AI as a possible substitute for traditional teaching but a substantial portion 

remaining uncertain or unconvinced about this possibility. 
 

Measure attitudes and perceptions about AI 
Table 4. Effectiveness of AI-based interventions 

 
Statement 1 2 3 4 5 

The effectiveness of AI tools and applications currently used in education. 114 46 81 9 10 

AI-enhanced education can help to learn more effectively. 101 120 35 4 0 

Students are excited to use AI-enhanced educational tools for learning. 133 62 42 9 14 

Integrating AI into education can facilitate the development of skills necessary for the future among students. 130 68 36 6 20 

Students are concerned about the potential negative impacts of AI-enhanced education. 91 85 61 14 9 

Students have had positive experiences with AI-enhanced education in the past. 94 71 70 19 6 

Students believed that AI-enhanced education was the future of education. 100 72 46 22 20 

Students often use AI-enhanced educational tools in their learning. 78 91 58 19 14 

Students benefit from using AI-enhanced educational tools. 94 74 62 21 9 

AI-enhanced education can be improved. 104 78 48 13 17 

Students are concerned about the potential negative impacts of AI-enhanced education. 97 62 74 14 13 

AI-enhanced education will impact the future of education. 124 58 58 10 10 

(Scale: 1= Very Effective, 2=Effective, 3=Neutral, 4=Ineffective, 5=Very ineffective) 
Source: Author’s Compilation Based Filed Survey, 2023 

 

 

The provided table data presents valuable insights into the perceptions and experiences of individuals regarding 

AI-enhanced education. The scale used for evaluation ranges from 1 (very effective) to 5 (very ineffective). Notably, 

respondents generally express positive attitudes towards AI in education. A majority (70 percent) find the current AI tools 

and applications in education compelling, indicating the perceived value of these technologies. Furthermore, a substantial 

proportion (62 percent) believe that AI-enhanced education can enhance their learning effectiveness and help them acquire 

future-relevant skills (80 percent). The data also highlights excitement about AI-enhanced educational tools, as 82% of 

respondents expressed enthusiasm about their use. Additionally, more than half (58%) have had positive past experiences 

with AI-enhanced education, reinforcing its potential benefits. Furthermore, a considerable majority (62 percent) believe 

that AI-enhanced education signifies the future of learning, emphasizing AI's evolving and influential role within the 

education domain. However, it's worth noting that there are concerns about potential negative impacts, with 56 percent 

expressing worries. Understanding and addressing these concerns is crucial for responsible AI integration in education. This 

data provides valuable input regarding the current usage of AI-enhanced educational tools, with 48 percent of respondents 

indicating their frequent use. Identifying the most commonly used AI tools and their perceived benefits and challenges is 

essential to enhance their implementation further. In summary, this data emphasizes the predominantly optimistic outlook 

regarding AI in education, signaling its capacity to improve learning results and equip individuals for the future. However, 

the concerns expressed indicate the need for careful implementation and ongoing evaluation to harness AI's benefits while 

mitigating potential drawbacks in the educational context. 
 

DISCUSSIONS 

The influence of artificial intelligence (AI) in educational settings has experienced substantial growth, significantly 

impacting learning methodologies. As AI rapidly evolves, educators face the imperative task of understanding how to utilize 

AI techniques to bolster students' academic performance effectively. Moreover, fostering close collaboration between 

educators and AI learners is crucial in aligning AI advancements with pedagogical effectiveness. Our study underscores the 

considerable impact AI has had on the education landscape. It highlights the need for a concerted effort to integrate AI 

techniques in ways that optimize learning outcomes. 

AI's integration into education introduces novel prospects alongside inherent challenges. According to Owoc et al. 

(2019), AI's influence on teaching and learning yields diverse outcomes, encompassing both advantageous and detrimental 

effects within the education sector. Building on this, the studies by Hwang et al. (2020) and Yufeia et al. (2020) accentuate 

AI's role in fostering innovative and notably efficient learning practices, thereby enhancing technology-driven learning 

environments. AI's impact on education encompasses pivotal facets, including the facilitation of teacher feedback, 



Pande et al., Bangladesh Journal of Multidisciplinary Scientific Research 9(1) (2024), 7-14 

 

13 

automated grading systems, and the implementation of adaptive learning methodologies. Our study delves into AI's impact 

on education through a random sampling survey involving participants, including students, faculty, and administration. It 

investigates their familiarity with AI, favored AI tools, and perspectives on AI's contributions to education. 

According to Akgun and Greenhow (2022), AI offers tailored learning materials to students, adapting to their 

specific needs and subjects. Kose and Koc (2015) also emphasized AI's capacity to augment distance education, particularly 

when combined with other intelligent systems. Significant scope for research and exploration exists within this topic. Our 

paper prioritizes a comprehensive analysis encompassing both quantitative and qualitative aspects. It aims to explore various 

dimensions, such as the objectives of AI, its applications, and public awareness, and undertake a comparative evaluation of 

AI's role in education compared to traditional methodologies. 

Addressing privacy concerns in AI technologies is pivotal. Prioritizing AI in education while implementing 

strategies catering to teachers and students is crucial for enhancing academic performance. Our paper suggests embracing 

AI in education with precautionary measures to address privacy concerns, ethical challenges, and potential misuse. These 

insights serve as a cornerstone for future advancements in AI's educational role. 

 

CONCLUSIONS  

This study presents a comprehensive exploration of the transformative impact of artificial intelligence (AI) in the education 

sector, drawing insights from a random sampling survey involving 160 participants, all of participants are students. The 

findings emphasize a positive outlook on the role of AI in education, highlighting its potential to enhance the overall quality 

of the student learning experience. However, the study underscores the necessity for a balanced and responsible integration 

of AI, with a clear recommendation to implement safeguards that mitigate potential misuse and address privacy, challenges, 

and ethical considerations. In this research contributes unique insights by not only identifying the potential advantages of 

AI but also emphasizing the critical importance of safeguarding against its misuse. This nuanced perspective positions our 

study as a valuable resource for policymakers, educators, and technology developers navigating the complex landscape of 

AI integration in education. Theoretical implications of our study contribute to the ongoing discourse on AI in education by 

providing a conceptual framework. Emphasizing the significance of effective teacher training programs, equitable access, 

and stringent data privacy measures, our findings offer theoretical foundations for policymakers and educational institutions. 

From a managerial standpoint, the recommendations underscore the need for a multifaceted approach, addressing practical 

aspects such as collaboration between technology companies, educators, and policymakers. For practitioners, our study 

recommends prioritizing teacher training programs to empower educators in seamlessly integrating AI tools into their 

teaching methods. Ensuring equitable access to AI-powered resources, particularly in underserved communities, is identified 

as crucial for fostering equal educational opportunities. Additionally, the implementation of stringent data privacy measures 

is advised to safeguard students' personal information, ensuring responsible and ethical use of AI in educational settings. 

While providing valuable insights, our study acknowledges certain limitations. The sample size of 160 participants may not 

fully capture the diverse perspectives within the education sector, and the rapidly evolving nature of AI may impact the 

generalizability of findings. Researchers should consider these limitations when interpreting results and extending the 

study's findings to different contexts. Suggestions for future research include exploring the evolving landscape of AI in 

education, considering emerging technologies and their impact on teaching and learning. Longitudinal studies could provide 

a deeper understanding of the sustained effects of AI integration over time, while investigating cultural and contextual 

variations in AI adoption within educational systems would contribute to a more comprehensive understanding of its global 

implications. Furthermore, ongoing research should delve into effective strategies for overcoming potential challenges and 

enhancing ethical considerations associated with AI in education. 
 

 

Author Contributions: Conceptualization, S.P.; Methodology, S.P., J.S.M. and M.F.H.; Software, S.P., J.S.M. and M.F.H.; Validation, S.P., J.S.M. and 

M.F.H.; Formal Analysis, S.P., J.S.M. and M.F.H.; Investigation, S.P. and J.S.M.; Resources, J.S.M.; Data Curation, S.P.; Writing – Original Draft 
Preparation, S.P., J.S.M. and M.F.H.; Writing – Review & Editing, S.P., J.S.M. and M.F.H.; Visualization, S.P., J.S.M. and M.F.H.; Supervision, S.P.; 

Project Administration, S.P.; Funding Acquisition, S.P., J.S.M. and M.F.H. Authors have read and agreed to the published version of the manuscript. 

Institutional Review Board Statement: Ethical review and approval were waived for this study, due to that the research does not deal with vulnerable 
groups or sensitive issues. 

Funding: The authors received no funding for this research. 

Acknowledgments: The Department of Economics at Dhaka International University, Bangladesh, provided partial help for this study. We express our 
gratitude to Mohammad Asrarul Hasanat, Lecturer, Department of Economics, and Dhaka International University for his valuable help and insightful 

remarks, which significantly enhanced the quality of the paper. We express our gratitude to all the teachers of the Department of Economics, Dhaka 

International University for their valuable insights and skills, which significantly contributed to the study. 
Informed Consent Statement: Informed consent was obtained from all subjects involved in the study. 

Data Availability Statement: The data presented in this study are available on request from the corresponding author.  

Conflicts of Interest: The authors declare no conflict of interest.                                                                                                                                                                                                                                   

 

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https://doi.org/10.1007/s43681-020-00002-7
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https://doi.org/10.48550/arXiv.2305.01185
https://doi.org/10.1080/14703297.2023.2190148
https://doi.org/10.1016/j.ijinfomgt.2023.102642
https://doi.org/10.36941/ajis-2021-0077
https://doi.org/10.1017/S1041610220000988
https://doi.org/10.1017/S1041610220000988
https://doi.org/10.1080/17439884.2020.1754236
https://doi.org/10.4018/978-1-4666-6276-6
https://doi.org/10.54675/PCSP7350
https://doi.org/10.36227/techrxiv.21789434.v1
https://doi.org/10.5334/ij.ic.20200807
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