Gabriel Petrea
Biographic Data
| ID | 9975787 |
|---|---|
| NAME | Gabriel Petrea |
| GIVEN NAMES | Gabriel |
| FAMILY NAME | Petrea |
| SIGNATURE | PETREA G |
| AFFILIATIONS | Universitatea Națională de Știință și Tehnologie Politehnica București |
| ORCID | 0009-0007-6691-6360 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Artificial Intelligence (AI) in Higher Education
Artificial intelligence (AI) has become increasingly visible in higher education, making it important to understand how students in this context evaluate AI in general. Although students’ attitudes toward AI have been widely examined, less is known about the relative roles of broad psychological resources and technology-related adaptive capacities in shaping these attitudes. This study examined whether digital adaptability and general self-effica…
Willingness to Allow Educational Data Use for Learning Analytics in Higher Education
Learning Analytics (LA) can support student success through dashboards and early-support interventions, but adoption depends on students’ willingness to allow educational data use under privacy and data-protection requirements. This study examines predictors of students’ willingness to allow educational data use for LA in higher education, focusing on perceived benefits, perceived risks, control and transparency expectations, and institutional tr…
Machine Learning in Education
Using Machine Learning (ML) in educational management transforms higher education strategy. This study examines students’ views on machine learning (ML) technologies and how they might be used to plan, monitor, and predict student performance. The Faculty of Industrial Engineering and Robotics surveyed 118 third-year undergraduates. It featured closed- and open-ended questions to collect quantitative and qualitative data. Descriptive statistics s…
The Impact of Artificial Intelligence (AI) on Students’ Academic Development
The integration of Artificial Intelligence (AI) in education has transformed academic learning, offering both opportunities and challenges for students’ development. This study investigates the impact of AI technologies on students’ learning processes and academic performance, with a focus on their perceptions and the challenges associated with AI adoption. Conducted at the National University of Science and Technology POLITEHNICA Bucharest, this…
No prominent works on this page.
The Impact of Artificial Intelligence (AI) on Students’ Academic Development
The integration of Artificial Intelligence (AI) in education has transformed academic learning, offering both opportunities and challenges for students’ development. This study investigates the impact of AI technologies on students’ learning processes and academic performance, with a focus on their perceptions and the challenges associated with AI adoption. Conducted at the National University of Science and Technology POLITEHNICA Bucharest, this…
Artificial Intelligence (AI) in Higher Education
Artificial intelligence (AI) has become increasingly visible in higher education, making it important to understand how students in this context evaluate AI in general. Although students’ attitudes toward AI have been widely examined, less is known about the relative roles of broad psychological resources and technology-related adaptive capacities in shaping these attitudes. This study examined whether digital adaptability and general self-effica…
Willingness to Allow Educational Data Use for Learning Analytics in Higher Education
Learning Analytics (LA) can support student success through dashboards and early-support interventions, but adoption depends on students’ willingness to allow educational data use under privacy and data-protection requirements. This study examines predictors of students’ willingness to allow educational data use for LA in higher education, focusing on perceived benefits, perceived risks, control and transparency expectations, and institutional tr…
Machine Learning in Education
Using Machine Learning (ML) in educational management transforms higher education strategy. This study examines students’ views on machine learning (ML) technologies and how they might be used to plan, monitor, and predict student performance. The Faculty of Industrial Engineering and Robotics surveyed 118 third-year undergraduates. It featured closed- and open-ended questions to collect quantitative and qualitative data. Descriptive statistics s…
Higher education (3 works) · Online Learning and Analytics (3 works) · Regression analysis (3 works) · AI in Service Interactions (2 works) · Exploratory research (2 works) · Academic achievement (1 work) · Academic integrity and plagiarism (1 work) · Adaptability (1 work) · Analytics (1 work) · Artificial Intelligence (1 work)