Artificial intelligence for learning and research: curriculum studies and educational technology, and library and information studies students’ awareness, perception, and challenges at the University of Port Harcourt

AI is a rapidly growing technology, but there is limited insight into students’ awareness, perceptions, and challenges in using different AI tools for learning and research. This study examines students’ awareness, perceptions, and challenges in Curriculum Studies and Educational Technology (CSET) and in Library and Information Studies (LIS) at the University of Port Harcourt. The study employed a descriptive survey and correlational design, with a sample size of 130 selected through a simple random sampling procedure. The data collection instrument was a structured questionnaire, and the data were analysed using mean and standard deviation, two-way ANOVA, a Gamma regression model, and the Chi-square (Fisher’s Exact Test). Students had a moderate awareness (grand mean = 3.40), with high awareness of chatbots and grammar tools, but low awareness of transcription and research tools. ANOVA revealed that neither gender, department, nor their interaction significantly affected awareness (F(1,126) = 0.272, p = 0.60). Students had a positive perception of AI tools (grand mean = 3.23), confident that they improve research and engagement. Gender and department interaction was not significant for perception (Wald χ² = 0.013, p = 0.91; Wald χ² = 0.798, p = 0.37), but department alone was (Wald χ² = 7.285, p = 0.01), with CSET students reporting higher perception. Challenges included data bias, privacy concerns, paraphrasing difficulty, and ethical issues, with no significant effects by gender, department, or their interaction. Awareness and perception were significantly related (Fisher’s Exact Test, p = 0.029). Universities should update curricula to integrate AI, especially AI research tools, into undergraduate courses and provide adequate infrastructure and ethical guidelines to support effective, responsible AI use for learning and research.

Authors

Institutions

Publication Details

Journal
Discover Education
Published
2026-02-04
DOI
https://doi.org/10.1007/s44217-026-01195-5
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial intelligence for learning and research: curriculum studies and educational technology, and library and information studies students’ awareness, perception, and challenges at the University of Port Harcourt

Comfort N. Owate, Sandra Eberechukwu Augustine
Discover Education
Artificial Intelligence in Healthcare and Education
article

Artificial intelligence for learning and research: curriculum studies and educational technology, and library and information studies students’ awareness, perception, and challenges at the University of Port Harcourt

Comfort N. Owate, Sandra Eberechukwu Augustine
article en

Abstract

AI is a rapidly growing technology, but there is limited insight into students’ awareness, perceptions, and challenges in using different AI tools for learning and research. This study examines students’ awareness, perceptions, and challenges in Curriculum Studies and Educational Technology (CSET) and in Library and Information Studies (LIS) at the University of Port Harcourt. The study employed a descriptive survey and correlational design, with a sample size of 130 selected through a simple random sampling procedure. The data collection instrument was a structured questionnaire, and the data were analysed using mean and standard deviation, two-way ANOVA, a Gamma regression model, and the Chi-square (Fisher’s Exact Test). Students had a moderate awareness (grand mean = 3.40), with high awareness of chatbots and grammar tools, but low awareness of transcription and research tools. ANOVA revealed that neither gender, department, nor their interaction significantly affected awareness (F(1,126) = 0.272, p = 0.60). Students had a positive perception of AI tools (grand mean = 3.23), confident that they improve research and engagement. Gender and department interaction was not significant for perception (Wald χ² = 0.013, p = 0.91; Wald χ² = 0.798, p = 0.37), but department alone was (Wald χ² = 7.285, p = 0.01), with CSET students reporting higher perception. Challenges included data bias, privacy concerns, paraphrasing difficulty, and ethical issues, with no significant effects by gender, department, or their interaction. Awareness and perception were significantly related (Fisher’s Exact Test, p = 0.029). Universities should update curricula to integrate AI, especially AI research tools, into undergraduate courses and provide adequate infrastructure and ethical guidelines to support effective, responsible AI use for learning and research.

Discover EducationVol. 5(1)
University of Port Harcourt (NG)
Openalex Percentile: Top 69%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.