Publication Date
In 2025 | 1 |
Since 2024 | 3 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 3 |
Descriptor
Automation | 3 |
Data Collection | 3 |
Artificial Intelligence | 2 |
Learning Analytics | 2 |
Literature Reviews | 2 |
Coding | 1 |
Computer Science Education | 1 |
Data Analysis | 1 |
Data Processing | 1 |
Design | 1 |
Efficiency | 1 |
More ▼ |
Author
Dawn Craig | 1 |
Jaume Bacardit | 1 |
Kamila Misiejuk | 1 |
Lena Schmidt | 1 |
Ling Wang | 1 |
Mohammed Saqr | 1 |
Nick Meader | 1 |
Rogers Kaliisa | 1 |
Saleh Mohamed | 1 |
Shen Zhan | 1 |
Sonsoles López-Pernas | 1 |
More ▼ |
Publication Type
Information Analyses | 3 |
Journal Articles | 3 |
Reports - Research | 1 |
Education Level
Audience
Researchers | 1 |
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Kamila Misiejuk; Sonsoles López-Pernas; Rogers Kaliisa; Mohammed Saqr – Journal of Learning Analytics, 2025
Generative artificial intelligence (GenAI) has opened new possibilities for designing learning analytics (LA) tools, gaining new insights about student learning processes and their environment, and supporting teachers in assessing and monitoring students. This systematic literature review maps the empirical research of 41 papers utilizing GenAI…
Descriptors: Literature Reviews, Artificial Intelligence, Learning Analytics, Data Collection
Lena Schmidt; Saleh Mohamed; Nick Meader; Jaume Bacardit; Dawn Craig – Research Synthesis Methods, 2024
The amount of grey literature and 'softer' intelligence from social media or websites is vast. Given the long lead-times of producing high-quality peer-reviewed health information, this is causing a demand for new ways to provide prompt input for secondary research. To our knowledge, this is the first review of automated data extraction methods or…
Descriptors: Automation, Natural Language Processing, Literature Reviews, Data Collection
Ling Wang; Shen Zhan – Education Research and Perspectives, 2024
Generative Artificial Intelligence (GenAI) is transforming education, with assessment design emerging as a crucial area of innovation, particularly in computer science (CS) education. Effective assessment is critical for evaluating student competencies and guiding learning processes, yet traditional practices face significant challenges in CS…
Descriptors: Artificial Intelligence, Computer Science Education, Technology Uses in Education, Student Evaluation