Artificial Intelligence has rapidly become an integral component of academic research and higher education

practices. Faculty members increasingly rely on AI-assisted technologies for scholarly writing, literature

analysis, and ANOVA were used to interpret the findings. The results indicate that AI technologies positively

support research productivity and creative idea generation; however, overreliance on automated outputs may

reduce deep analytical engagement and originality. The study highlights the need for ethical, balanced, and

responsible integration of AI technologies in academic research environments.

Keywords: Artificial Intelligence, Faculty Research, Creativity, Critical Thinking, Higher Education, AI

Dependency, Academic Research, Innovation

Artificial Intelligence is increasingly reshaping the structure and functioning of higher education and academic

research systems. In recent years, AI-enabled platforms and automated digital tools have become widely

integrated into scholarly activities such as manuscript preparation, literature review, citation management, data

members use these technologies for literature reviews, manuscript drafting, citation management, proposal

writing, statistical analysis, language correction, idea generation, and research collaboration. AI systems have

simplified complex research activities and reduced the time required for data processing and academic writing.

Although AI technologies offer numerous advantages in research productivity and efficiency, concerns are

emerging regarding excessive dependency on AI systems. Researchers and academicians have started

questioning whether continuous reliance on AI-generated outputs may weaken faculty members’ independent

thinking abilities, analytical reasoning, creativity, and originality. Critical thinking, which is considered the

foundation of scientific inquiry and innovation, may gradually decline when researchers excessively depend on

AI-generated summaries, suggestions, and interpretations.

Creativity in academic research involves generating novel ideas, identifying research gaps, developing

between AI dependency and faculty research creativity and critical thinking. Most existing studies focus on

students, digital learning, or general AI adoption, while faculty-centered investigations remain comparatively

underexplored.

The present study seeks to address this research gap by exploring the influence of AI dependency on the creative

and critical thinking abilities of faculty members engaged in academic research. The study also aims to contribute

to ongoing discussions regarding the responsible, ethical, and balanced integration of Artificial Intelligence

within higher education research practices.

Recent studies indicate that Artificial Intelligence has significantly influenced academic research and higher

education systems. Researchers have highlighted both positive and negative dimensions of AI integration in

systems, whereas comparatively fewer empirical studies examine faculty creativity and critical thinking in

relation to AI dependency, particularly within Indian higher education institutions.

Kasneci et al. (2023) examined the role of generative AI systems in education and argued that AI technologies

support idea generation and academic writing but also pose risks related to academic integrity and cognitive

dependency.

Zawacki-Richter et al. (2019) identified that AI applications in higher education are predominantly associated

with teaching, administration, and adaptive learning systems. However, the authors observed limited empirical

research on faculty creativity and independent intellectual engagement.

Holmes, Bialik, and Fadel (2019) discussed the transformative role of AI in educational innovation and

highlighted concerns regarding ethical governance, originality, and overdependence on automated systems.

The review of literature indicates that AI technologies positively influence research productivity and efficiency;

however, the relationship between AI dependency and faculty research creativity remains insufficiently

explored. Existing studies largely focus on student learning, AI adoption, and educational technologies, while

faculty-centered empirical investigations remain limited, particularly in the Indian higher education context.

Research methodology is an important component of any research study as it provides a systematic framework

for data collection, analysis, interpretation, and presentation of findings. The present study aimed to investigate

the impact of Artificial Intelligence (AI) dependency on faculty research creativity and critical thinking abilities

The investigation was carried out using a descriptive quantitative framework to explore the relationship between

AI dependency, research creativity, and critical thinking abilities among faculty members in higher education

institutions. The study adopted a cross-sectional survey method in which responses were collected from

participants during a specific period. Data collection was conducted through a structured online questionnaire

prepared using Google Forms. The research primarily focused on examining faculty perceptions regarding AI-

assisted research practices, patterns of AI usage, and their influence on creativity and analytical thinking. The

collected responses were interpreted using appropriate statistical techniques to understand the association

and other interdisciplinary fields participated in the study. The inclusion of respondents from different academic

backgrounds helped in obtaining comprehensive insights into the usage of Artificial Intelligence tools, research

creativity, and critical thinking practices among higher education faculty members.

For the purpose of the study, faculty members from the university were selected using the convenience sampling

method. The sampling technique was adopted due to the accessibility and availability of respondents for online

participation. A total of 50 faculty members participated in the study through responses collected using an online

Google Form questionnaire. The sample represented faculty members from diverse backgrounds, including

was based on a five-point Likert scale ranging from Strongly Agree to Strongly Disagree.

The questionnaire included the following dimensions:

ANOVA test across age groups resulted in F = 0.56, p = 0.6410.

The mean score for AI Usage was found to be 4.00, which is the highest among all variables. This result indicates

that faculty members frequently utilize AI-based tools for literature review, academic writing, idea generation,

data interpretation, and research support activities. The high mean score reflects the growing acceptance and

integration of AI technologies in higher education research practices. Faculty members perceive AI as an

Despite these advantages, the study also highlights certain concerns related to excessive dependence on AI-

generated outputs. Overreliance on automated suggestions may gradually reduce originality, independent

intellectual effort, and authentic scholarly exploration among researchers. Therefore, the study emphasizes the

importance of responsible and balanced utilization of AI technologies to preserve innovation, originality, and

The analysis indicates that Artificial Intelligence exerts a moderate influence on the critical thinking abilities of

faculty members engaged in academic research. The mean score obtained for critical thinking (3.36) reflects a

moderate level of analytical reasoning and independent evaluation while using AI-assisted technologies.

Correlation results revealed a low yet positive relationship between AI usage and critical thinking (r = 0.15),

Similarly, the findings related to critical thinking indicate a comparatively lower mean score (3.36), suggesting

that excessive dependency on AI tools may weaken deep analytical reasoning and reflective thinking. Although

AI tools provide quick access to information and simplify research tasks, some faculty members admitted that

they occasionally rely on AI-generated responses without sufficient critical verification. The weak positive

The findings revealed that faculty members widely use AI tools for research-related activities such as literature

review, academic writing, idea generation, and data interpretation. Artificial Intelligence has significantly

improved research productivity, efficiency, and accessibility of academic information.

The study found that moderate use of AI tools positively supports research creativity by helping faculty members

generate ideas, improve brainstorming, and simplify complex academic tasks. However, excessive dependency

on AI-generated outputs may negatively affect originality, independent thinking, and deep analytical reasoning.

reflective and analytical engagement among researchers.

The study emphasizes that Artificial Intelligence should be utilized as an assisting resource in academic research

rather than serving as a substitute for human intellect, creativity, and critical inquiry. Accordingly, higher

education institutions must promote the ethical, balanced, and responsible integration of AI technologies to

preserve originality, innovation, and analytical thinking within scholarly research practices.

alongside AI-assisted technologies.

ethical AI usage.

engagement.

analytical tools.

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