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Riordan Alfredo

Biographic Data

ID9493767
NAMERiordan Alfredo
GIVEN NAMESRiordan
FAMILY NAMEAlfredo
SIGNATUREALFREDO R
AFFILIATIONSFaculty of Information Technology, Centre for Learning Analytics at Monash Monash University Clayton Victoria Australia
ORCID0000-0001-5440-6143
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Automated multimodal visual analytics of social and epistemic dimensions in team communication for reflective practice in healthcare simulation

    Open Access•Linxuan Zhao, Vanessa Echeverria et al.•ARTICLE•Computers & Education•2026

    Effective team communication is critical in high-stakes sectors such as healthcare. However, learners often struggle to reflect and improve on their communication skills within these fast-paced scenarios. While educators play a vital role in guiding students to reflect on the social and epistemic aspects of their communication, they require evidence to facilitate learners in recalling their experience to reflect effectively. Although video record…

  • The effects of generative AI agents and scaffolding on enhancing students’ comprehension of visual learning analytics

    Open Access•Lixiang Yan, Roberto Martinez-Maldonado et al.•ARTICLE•Computers & Education•2025

    Visual learning analytics (VLA) is becoming increasingly adopted in educational technologies and learning analytics dashboards to convey critical insights to students and educators. Yet many students experienced difficulties in comprehending complex VLA due to their limited data visualisation literacy. While conventional scaffolding approaches like data storytelling have shown effectiveness in enhancing students’ comprehension of VLA, these appro…

  • Evidence‐based multimodal learning analytics for feedback and reflection in collaborative learning

    Open Access•Lixiang Yan, Vanessa Echeverria et al.•ARTICLE•British Journal of Educational…•2024

    Multimodal learning analytics (MMLA) offers the potential to provide evidence‐based insights into complex learning phenomena such as collaborative learning. Yet, few MMLA applications have closed the learning analytics loop by being evaluated in real‐world educational settings. This study evaluates the effectiveness of an MMLA solution in enhancing feedback and reflection within a complex and highly dynamic collaborative learning environment. A t…

  • Towards automated transcribing and coding of embodied teamwork communication through multimodal learning analytics

    Open Access•Linxuan Zhao, Dragan Gašević et al.•ARTICLE•British Journal of Educational…•2024

    Effective collaboration and teamwork skills are critical in high‐risk sectors, as deficiencies in these areas can result in injuries and risk of death. To foster the growth of these vital skills, immersive learning spaces have been created to simulate real‐world scenarios, enabling students to safely improve their teamwork abilities. In such learning environments, multiple dialogue segments can occur concurrently as students independently organis…

No prominent works on this page.

  • Evidence‐based multimodal learning analytics for feedback and reflection in collaborative learning

    Open Access•Lixiang Yan, Vanessa Echeverria et al.•ARTICLE•British Journal of Educational…•2024

    Multimodal learning analytics (MMLA) offers the potential to provide evidence‐based insights into complex learning phenomena such as collaborative learning. Yet, few MMLA applications have closed the learning analytics loop by being evaluated in real‐world educational settings. This study evaluates the effectiveness of an MMLA solution in enhancing feedback and reflection within a complex and highly dynamic collaborative learning environment. A t…

  • Towards automated transcribing and coding of embodied teamwork communication through multimodal learning analytics

    Open Access•Linxuan Zhao, Dragan Gašević et al.•ARTICLE•British Journal of Educational…•2024

    Effective collaboration and teamwork skills are critical in high‐risk sectors, as deficiencies in these areas can result in injuries and risk of death. To foster the growth of these vital skills, immersive learning spaces have been created to simulate real‐world scenarios, enabling students to safely improve their teamwork abilities. In such learning environments, multiple dialogue segments can occur concurrently as students independently organis…

  • The effects of generative AI agents and scaffolding on enhancing students’ comprehension of visual learning analytics

    Open Access•Lixiang Yan, Roberto Martinez-Maldonado et al.•ARTICLE•Computers & Education•2025

    Visual learning analytics (VLA) is becoming increasingly adopted in educational technologies and learning analytics dashboards to convey critical insights to students and educators. Yet many students experienced difficulties in comprehending complex VLA due to their limited data visualisation literacy. While conventional scaffolding approaches like data storytelling have shown effectiveness in enhancing students’ comprehension of VLA, these appro…

  • Automated multimodal visual analytics of social and epistemic dimensions in team communication for reflective practice in healthcare simulation

    Open Access•Linxuan Zhao, Vanessa Echeverria et al.•ARTICLE•Computers & Education•2026

    Effective team communication is critical in high-stakes sectors such as healthcare. However, learners often struggle to reflect and improve on their communication skills within these fast-paced scenarios. While educators play a vital role in guiding students to reflect on the social and epistemic aspects of their communication, they require evidence to facilitate learners in recalling their experience to reflect effectively. Although video record…

Analytics (4 works) · Computer Science (3 works) · Data science (3 works) · Learning analytics (3 works) · Artificial Intelligence (2 works) · Knowledge management (2 works) · Online Learning and Analytics (2 works) · Visual analytics (2 works) · Visualization (2 works) · Adaptation (eye) (1 works)

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