Publication Date
In 2025 | 3 |
Descriptor
Data Analysis | 3 |
Task Analysis | 3 |
Computer Software | 2 |
Visual Aids | 2 |
Artificial Intelligence | 1 |
Blended Learning | 1 |
COVID-19 | 1 |
Comparative Analysis | 1 |
Critical Thinking | 1 |
Cues | 1 |
Culturally Relevant Education | 1 |
More ▼ |
Author
Cristina Portalés | 1 |
Hee-jeong Kim | 1 |
Hyunyi Jung | 1 |
Javier Sevilla | 1 |
Kayla Sutcliffe | 1 |
Mar Gaitán | 1 |
Megan H. Wickstrom | 1 |
Pablo Casanova-Salas | 1 |
Sergio Casas | 1 |
William Reid Carlisle | 1 |
Xavier Ochoa | 1 |
More ▼ |
Publication Type
Journal Articles | 3 |
Reports - Research | 3 |
Education Level
Higher Education | 2 |
Postsecondary Education | 2 |
Audience
Location
Spain | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
William Reid Carlisle; Hyunyi Jung; Megan H. Wickstrom; Kayla Sutcliffe; Hee-jeong Kim – International Journal of Science and Mathematics Education, 2025
Although culturally responsive mathematics teaching is important, post-secondary education for preservice teachers (PTs) does not typically lead to learning opportunities for them to use mathematics to recognize the roles of social agents. To address this issue, we created a culturally responsive mathematical modeling task in which we invited PTs…
Descriptors: Mathematical Models, Culturally Relevant Education, Mathematics Education, Preservice Teacher Education
Xavier Ochoa; Xiaomeng Huang; Yuli Shao – Journal of Learning Analytics, 2025
Generative AI (GenAI) has the potential to revolutionize the analysis of educational data, significantly impacting learning analytics (LA). This study explores the capability of non-experts, including administrators, instructors, and students, to effectively use GenAI for descriptive LA tasks without requiring specialized knowledge in data…
Descriptors: Learning Analytics, Artificial Intelligence, Computer Software, Scores
Cristina Portalés; Javier Sevilla; Pablo Casanova-Salas; Mar Gaitán; Sergio Casas – Journal of Geography in Higher Education, 2025
Data visualization is a complex matter and so is teaching it in the context of engineering and data science. Even more challenging is teaching in a midst of once in a century pandemic. In this paper, we show the results of a workshop conducted with second-year students on a university degree in data science, which took place in the context of…
Descriptors: Blended Learning, Geography Instruction, Learning Processes, Workshops