Dependence on AI in Everyday Learning and Decision-Making

Title of Problem: Dependence on AI in Everyday Learning and Decision-Making

Authors: Rutik Hutke (21331025356)

                Vikas Shrivastav (21331025510)

                Akash Singh (21331025040)

Introduction:

In today’s world, artificial intelligence (AI) has become an integral part of how many people learn and make decisions. While AI tools offer convenience and enhanced efficiency, there is growing interest in understanding how relying on AI might influence people’s critical thinking, creativity, and personal judgment. This survey aims to gather insights from a broad audience about the role AI plays in their daily learning and decision-making, and how they balance technological help with their own independent thinking.

Objective: To understand the underlying issues of dependence on AI in everyday learning and decision-making.

Literature Review:

The AI Learning Paradox: Balancing Educational Benefits and Digital Dependency (Nazir T., & Yılmaz Z. E., 2025)

This study explains how AI helps students learn faster and complete academic tasks more efficiently but also warns about growing dependence on these tools. It highlights that excessive AI use may reduce independent thinking and problem-solving ability. The study suggests using AI as a support system rather than a replacement for human effort.

 

Student’s Artificial Intelligence (AI) Dependency: The Lived Experience of STEM Students at Tongantongan National High School (Paraso, Ysa Marielle, Sedon, Sammer Blaze, Mahilum, Dan Zohar E, 2024)

This research focuses on students’ real-life experiences with AI in education and finds that many rely on AI tools for assignments and learning support. While AI improves productivity, students risk becoming dependent on it for basic academic work. The study stresses the need for balanced and responsible use of AI in learning.

 

Data Collection:

For the above problem, five questions were framed on Likert Scale, a Google Form was made to record responses from one hundred and five respondents. The Questions are following:

Q1. I believe AI is an essential support in my learning and daily tasks.

Q2. I feel frequent AI use reduces my critical thinking ability.

Q3. I rely on AI-generated content instead of my own ideas.

Q4. I avoid deep thinking when AI provides quick solutions.

Q5. I believe AI should assist learning and decision-making, not replace my thinking.

Questions were framed with linear scale options from 1 to 5. 1 – being Strongly Disagree, 2 -being Agree, 3 – being Neutral, 4 – being Agree and 5 – being Strongly Agree. For every question, mean, Standard Deviation, Standard Error and T-Statistic were calculated.

Data Analysis:

Mean, Standard Deviation, Standard Error and T-Statistic for each question are as follows:

Questions/ Functions

Q1

Q2

Q3

Q4

Q5

Mean

4.08

3.92

3.55

3.65

4.10

Standard Deviation

1.01

1.00

0.96

0.92

1.07

Standard Error

0.13

0.13

0.12

0.12

0.14

t-Stat

8.28

7.13

4.42

5.49

7.97

 

  • t > +1.96 → Accept Positive Alternate Hypothesis (μ > 3) People Agree.
  • −1.96 ≤ t ≤ +1.96 → Accept Null Hypothesis (μ = 3) People are Neutral.
  • t < −1.96 → Accept Negative Alternate Hypothesis (μ < 3) People Disagree.

 

Conclusion:

Following can be concluded based on responses collected on each of the five questions:

Q1. Since T-Statistic is > 1.96, people accept that AI is an essential support in their learning and daily tasks.

Q2. Since T-Statistic is > 1.96, people accept that frequent use of AI reduces their critical thinking ability.

Q3. Since T-Statistic is > 1.96, people accept that they rely on AI-generated content instead of their own thinking.

Q4. Since T-Statistic is > 1.96, people accept that they avoid deep thinking when AI provides quick answers.

Q5. Since T-Statistic is > 1.96, people accept that AI should assist learning but should not replace their own thinking.

 

Reference:

1.      Nazir, T., & Yılmaz, Z. E. (2025). The AI Learning Paradox: Balancing Educational Benefits and Digital Dependency. International Journal of Field Education, 11(3), 100-119.

International Journal of Field Education » Submission » The AI Learning Paradox: Balancing Educational Benefits and Digital Dependency

 

2.     Paraso, Ysa Marielle, Sedon, Sammer Blaze, Mahilum, Dan Zohar E, (2024) Student’s Artificial Intelligence (AI) Dependency: The Lived Experience of STEM Students at Tongantongan National High School, International Journal of All Research Writings.

 

IJARW2172-libre.pdf

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