Kristina Murtazin
Biographic Data
| ID | 10101207 |
|---|---|
| NAME | Kristina Murtazin |
| GIVEN NAMES | Kristina |
| FAMILY NAME | Murtazin |
| SIGNATURE | MURTAZIN K |
| AFFILIATIONS | Tallinn University of Technology |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Experiment with ChatGPT
Providing timely and effective feedback is a crucial element of the educational process, directly impacting student engagement, comprehension, and academic achievement. However, even within small groups, delivering personalized feedback presents a significant challenge for educators, especially when opportunities for individual interaction are limited. As a result, there is growing interest in the use of AI-based feedback systems as a potential s…
Student support during project-based learning using simulated automated formative feedback
Project-based learning is widely recognized as an effective pedagogical approach in software engineering education, fostering real-world problem-solving, collaboration, and the integration of theory and practice. However, its scalability is challenged by the resources demanded for individualized feedback, especially in large classes. This pilot study explored the feasibility of simulated automated formative feedback to support student teams in a …
No prominent works on this page.
Experiment with ChatGPT
Providing timely and effective feedback is a crucial element of the educational process, directly impacting student engagement, comprehension, and academic achievement. However, even within small groups, delivering personalized feedback presents a significant challenge for educators, especially when opportunities for individual interaction are limited. As a result, there is growing interest in the use of AI-based feedback systems as a potential s…
Student support during project-based learning using simulated automated formative feedback
Project-based learning is widely recognized as an effective pedagogical approach in software engineering education, fostering real-world problem-solving, collaboration, and the integration of theory and practice. However, its scalability is challenged by the resources demanded for individualized feedback, especially in large classes. This pilot study explored the feasibility of simulated automated formative feedback to support student teams in a …
Perception (2 works) · Artificial Intelligence in Healthcare and Education (1 work) · Comprehension (1 work) · Computer Science (1 work) · Computer-Assisted Instruction (1 work) · Conceptual model (1 work) · Engineering (1 work) · Engineering education (1 work) · Explainable Artificial Intelligence (XAI (1 work) · Formative assessment (1 work)