Seyma Nur Yildirim‐Erbasli
Biographic Data
| ID | 9589733 |
|---|---|
| NAME | Seyma Nur Yildirim‐Erbasli |
| GIVEN NAMES | Seyma Nur |
| FAMILY NAME | Yildirim‐Erbasli |
| SIGNATURE | ERBASLI S N Y |
| AFFILIATIONS | Concordia University of Edmonton |
| ORCID | 0000-0002-8010-9414 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Exploring undergraduate students' perceptions of AI vs. human scoring and feedback
The use of artificial intelligence (AI) in educational assessment offers scalable solutions to traditional grading challenges, yet concerns about reliability, fairness, and acceptance remain, particularly in subjective domains like writing. This study examines undergraduate students' perceptions of AI-generated scoring and feedback compared to human evaluators. Participants reviewed scores and feedback provided by either AI or a human and complet…
Advancing higher education students’ assessment experiences with conversational agents
The impact of frequency and stakes of formative assessment on student achievement in higher education
Standing on the shoulders of giants
As universities around the world have begun to use learning management systems (LMSs), more learning data have become available to gain deeper insights into students' learning processes and make data‐driven decisions to improve student learning. With the availability of rich data extracted from the LMS, researchers have turned much of their attention to learning analytics (LA) applications using educational data mining techniques. Numerous LA mod…
No prominent works on this page.
Standing on the shoulders of giants
As universities around the world have begun to use learning management systems (LMSs), more learning data have become available to gain deeper insights into students' learning processes and make data‐driven decisions to improve student learning. With the availability of rich data extracted from the LMS, researchers have turned much of their attention to learning analytics (LA) applications using educational data mining techniques. Numerous LA mod…
Advancing higher education students’ assessment experiences with conversational agents
The impact of frequency and stakes of formative assessment on student achievement in higher education
Exploring undergraduate students' perceptions of AI vs. human scoring and feedback
The use of artificial intelligence (AI) in educational assessment offers scalable solutions to traditional grading challenges, yet concerns about reliability, fairness, and acceptance remain, particularly in subjective domains like writing. This study examines undergraduate students' perceptions of AI-generated scoring and feedback compared to human evaluators. Participants reviewed scores and feedback provided by either AI or a human and complet…
Computer Science (4 works) · Mathematics education (4 works) · Psychology (4 works) · Online Learning and Analytics (3 works) · Data science (2 works) · Educational technology (2 works) · Formative assessment (2 works) · Higher education (2 works) · Learning analytics (2 works) · Medical education (2 works)