Ayça Çebi
Biographic Data
| ID | 8902242 |
|---|---|
| NAME | Ayça Çebi |
| GIVEN NAMES | Ayça |
| FAMILY NAME | Çebi |
| SIGNATURE | ÇEBI A |
| AFFILIATIONS | Avrasya University |
| ORCID | 0000-0002-5457-5956 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Unleashing the potential of flipped learning in K–12
This systematic review focuses on experimental studies conducted in K–12, including research on flipped learning approaches from peer-reviewed journals indexed in Web of Science and Scopus up until 2023. The study followed the PRISMA guidelines. Most of the studies examined compared the traditional classroom model with the flipped learning model. The studies have shown that flipped learning has positive effects on academic achievement, motivation…
The potential of AI-generated feedback from the students’ perspective
Generative artificial intelligence (GenAI) enhances educational tools through machine learning and deep learning advancements. GenAI-powered tools reduce educators’ workloads and provide students with feedback on academic progress. However, limited research exists on students’ perceptions of AI-generated feedback. This study explores the role of AI-generated systems in improving feedback practices in online learning, addressing three questions: (…
Do individual characteristics affect online learning behaviors? An analysis of learners sequential patterns
Online learning systems allow learners to freely access learning contents and record their interactions throughout their engagement with the content. By using data mining techniques on the student log data of those systems, it is possible to examine learning behavior and reveal navigation patterns through learning contents. This study was aimed at investigating how learners’ characteristics affect their online learning behavior by using sequentia…
From digital competences to technology integration
How can the digital competences of pre-service teachers be developed? Examining a case study through the lens of DigComp and DigCompEdu
No prominent works on this page.
How can the digital competences of pre-service teachers be developed? Examining a case study through the lens of DigComp and DigCompEdu
From digital competences to technology integration
Do individual characteristics affect online learning behaviors? An analysis of learners sequential patterns
Online learning systems allow learners to freely access learning contents and record their interactions throughout their engagement with the content. By using data mining techniques on the student log data of those systems, it is possible to examine learning behavior and reveal navigation patterns through learning contents. This study was aimed at investigating how learners’ characteristics affect their online learning behavior by using sequentia…
Unleashing the potential of flipped learning in K–12
This systematic review focuses on experimental studies conducted in K–12, including research on flipped learning approaches from peer-reviewed journals indexed in Web of Science and Scopus up until 2023. The study followed the PRISMA guidelines. Most of the studies examined compared the traditional classroom model with the flipped learning model. The studies have shown that flipped learning has positive effects on academic achievement, motivation…
The potential of AI-generated feedback from the students’ perspective
Generative artificial intelligence (GenAI) enhances educational tools through machine learning and deep learning advancements. GenAI-powered tools reduce educators’ workloads and provide students with feedback on academic progress. However, limited research exists on students’ perceptions of AI-generated feedback. This study explores the role of AI-generated systems in improving feedback practices in online learning, addressing three questions: (…
Computer Science (4 works) · Psychology (4 works) · Mathematics education (3 works) · Digital literacy in education (2 works) · Intelligent Tutoring Systems and Adaptive Learning (2 works) · Teaching method (2 works) · Technology-Enhanced Education Studies (2 works) · AI in Service Interactions (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence in Healthcare and Education (1 work)