Eren Gultepe
Biographic Data
| ID | 1916694 |
|---|---|
| NAME | Eren Gultepe |
| GIVEN NAMES | Eren |
| FAMILY NAME | Gultepe |
| SIGNATURE | GULTEPE E |
| AFFILIATIONS | Southern Illinois University Edwardsville |
| ORCID | 0009-0000-3885-5782 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
A Metacognitive Blind Spot
This exploratory study investigates the relationship between student metacognition, use of artificial intelligence, and empirical performance within a multidisciplinary course on AI. Using data from a sample of college-age, full-time undergraduate students (averaging 18 participants per assessment) enrolled in an in-person junior seminar at a Midwestern U.S. university, we correlate student self-assessments with standard readability metrics (e.g.…
Evaluating the instrumental quality of LLM-generated assessment items
Objective This study compared the use of Large Language Models (LLMs) to produce Multiple-Choice Questions (MCQs) against human written MCQs for evaluating student performance on course material. Methods Assessment data was collected from an 8-week, synchronous online, third-year Operating Systems course from two successive cohorts (2024 and 2025) across a total of 42 students. 21 human and 14 LLM MCQs were created. The LLM-authored MCQs (with Ch…
A Quantitative Social Network Analysis of the Character Relationships in the Mahabharata
Despite the advances in computational literary analysis of Western literature, in-depth analysis of the South Asian literature has been lacking. Thus, social network analysis of the main characters in the Indian epic Mahabharata was performed, in which it was prepossessed into verses, followed by a term frequency–inverse document frequency (TF-IDF) transformation. Then, Latent Semantic Analysis (LSA) word vectors were obtained by applying compact…
Predicting and grouping digitized paintings by style using unsupervised feature learning
Predicting and grouping digitized paintings by style using unsupervised feature learning
A Quantitative Social Network Analysis of the Character Relationships in the Mahabharata
Despite the advances in computational literary analysis of Western literature, in-depth analysis of the South Asian literature has been lacking. Thus, social network analysis of the main characters in the Indian epic Mahabharata was performed, in which it was prepossessed into verses, followed by a term frequency–inverse document frequency (TF-IDF) transformation. Then, Latent Semantic Analysis (LSA) word vectors were obtained by applying compact…
A Metacognitive Blind Spot
This exploratory study investigates the relationship between student metacognition, use of artificial intelligence, and empirical performance within a multidisciplinary course on AI. Using data from a sample of college-age, full-time undergraduate students (averaging 18 participants per assessment) enrolled in an in-person junior seminar at a Midwestern U.S. university, we correlate student self-assessments with standard readability metrics (e.g.…
Evaluating the instrumental quality of LLM-generated assessment items
Objective This study compared the use of Large Language Models (LLMs) to produce Multiple-Choice Questions (MCQs) against human written MCQs for evaluating student performance on course material. Methods Assessment data was collected from an 8-week, synchronous online, third-year Operating Systems course from two successive cohorts (2024 and 2025) across a total of 42 students. 21 human and 14 LLM MCQs were created. The LLM-authored MCQs (with Ch…
Artificial Intelligence (2 works) · Computer Science (2 works) · Advanced Text Analysis Techniques (1 work) · Aesthetic Perception and Analysis (1 work) · AI in Service Interactions (1 work) · Art (1 work) · Art History and Market Analysis (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Centrality (1 work) · Character (mathematics (1 work)