Cecilia Avila
Biographic Data
| ID | 9493735 |
|---|---|
| NAME | Cecilia Avila |
| GIVEN NAMES | Cecilia |
| FAMILY NAME | Avila |
| SIGNATURE | ÁVILA C |
| AFFILIATIONS | Fundación Universitaria Konrad Lorenz |
| ORCID | 0000-0002-2384-0518 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Curriculum, Pedagogy, and Teaching/Learning Strategies in Data Science Education
Data science education is an interdisciplinary and multidisciplinary field, with curricula continually evolving to meet societal needs. This paper aims to report a bibliometric analysis focused on the pedagogical aspects and teaching/learning strategies employed in data science curriculum design, emphasizing contributions from key authors, publication sources, affiliations, content, and cited documents. The analysis draws on metadata from documen…
Student engagement with mobile‐based assessment systems
Research on mobile‐based assessment systems is still an emerging topic in the mobile learning field. Current research has demonstrated that the use of mobile‐based assessment systems seems to have a positive impact on students' learning outcomes and motivation. The paper identifies some factors that influence student engagement with mobile‐based formative assessment in a language learning course. Survival analysis of the interaction of N = 86 stu…
Evaluation of a learning analytics tool for supporting teachers in the creation and evaluation of accessible and quality open educational resources
The learning analytics (LA) field seeks to analyze data about students’ interactions, and it has been applied in the development of tools for supporting both learning and teaching processes. Recent research has paid attention on how LA may benefit teachers in the creation of educational resources. However, most of the research on LA solutions is carried out to support teachers in analyzing students’ behavior data collected as they interact with v…
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Evaluation of a learning analytics tool for supporting teachers in the creation and evaluation of accessible and quality open educational resources
The learning analytics (LA) field seeks to analyze data about students’ interactions, and it has been applied in the development of tools for supporting both learning and teaching processes. Recent research has paid attention on how LA may benefit teachers in the creation of educational resources. However, most of the research on LA solutions is carried out to support teachers in analyzing students’ behavior data collected as they interact with v…
Student engagement with mobile‐based assessment systems
Research on mobile‐based assessment systems is still an emerging topic in the mobile learning field. Current research has demonstrated that the use of mobile‐based assessment systems seems to have a positive impact on students' learning outcomes and motivation. The paper identifies some factors that influence student engagement with mobile‐based formative assessment in a language learning course. Survival analysis of the interaction of N = 86 stu…
Curriculum, Pedagogy, and Teaching/Learning Strategies in Data Science Education
Data science education is an interdisciplinary and multidisciplinary field, with curricula continually evolving to meet societal needs. This paper aims to report a bibliometric analysis focused on the pedagogical aspects and teaching/learning strategies employed in data science curriculum design, emphasizing contributions from key authors, publication sources, affiliations, content, and cited documents. The analysis draws on metadata from documen…
Computer Science (3 works) · Mathematics education (3 works) · Psychology (3 works) · Pedagogy (2 works) · World Wide Web (2 works) · Analytics (1 work) · Applied Psychology (1 work) · Curriculum (1 work) · Data science (1 work) · E-Learning and Knowledge Management (1 work)