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Lele Sha

Biographic Data

ID9493587
NAMELele Sha
GIVEN NAMESLele
FAMILY NAMESha
SIGNATURESHA L
AFFILIATIONSCentre for Learning Analytics at Monash, Faculty of Information Technology Monash University Clayton Victoria Australia
ORCID0000-0002-8138-3853
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Capturing and sharing know-how through visual process representations: A human-Centred approach to teacher workflows

    Open Access•Gloria M Fernandez-Nieto, Vanessa Echeverria et al.•ARTICLE•Behaviour and Information…•2026

    Knowledge Management is crucial for capturing and transferring expertise within universities, especially in high staff turnover contexts where expertise loss disrupts teaching. Documenting teachers' workflows is time-intensive and diverts experts from core responsibilities. Sequential Pattern Mining (SPM) leverages log data to identify expert workflows, offering an automated alternative to represent workflows but requiring transformation into int…

  • A systematic review of generative AI in education: Empirical insights from a human– AI interaction perspective

    Open Access•Zhiping Liang, Kaixun Yang et al.•ARTICLE•British Journal of Educational…•2026

    With the increasing application of GenAI in education, researchers and practitioners are paying more and more attention to its effectiveness and impact in teaching and learning. This can be evidenced by the increasing number of literature reviews on this topic published in recent years. However, these literature reviews seldom analysed the effectiveness of GenAI‐powered educational applications from the human–AI interaction perspective, which is …

  • 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…

  • Practical and ethical challenges of large language models in education: A systematic scoping review

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

    Educational technology innovations leveraging large language models (LLMs) have shown the potential to automate the laborious process of generating and analysing textual content. While various innovations have been developed to automate a range of educational tasks (eg, question generation, feedback provision, and essay grading), there are concerns regarding the practicality and ethicality of these innovations. Such concerns may hinder future res…

No prominent works on this page.

  • 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…

  • Practical and ethical challenges of large language models in education: A systematic scoping review

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

    Educational technology innovations leveraging large language models (LLMs) have shown the potential to automate the laborious process of generating and analysing textual content. While various innovations have been developed to automate a range of educational tasks (eg, question generation, feedback provision, and essay grading), there are concerns regarding the practicality and ethicality of these innovations. Such concerns may hinder future res…

  • Capturing and sharing know-how through visual process representations: A human-Centred approach to teacher workflows

    Open Access•Gloria M Fernandez-Nieto, Vanessa Echeverria et al.•ARTICLE•Behaviour and Information…•2026

    Knowledge Management is crucial for capturing and transferring expertise within universities, especially in high staff turnover contexts where expertise loss disrupts teaching. Documenting teachers' workflows is time-intensive and diverts experts from core responsibilities. Sequential Pattern Mining (SPM) leverages log data to identify expert workflows, offering an automated alternative to represent workflows but requiring transformation into int…

  • A systematic review of generative AI in education: Empirical insights from a human– AI interaction perspective

    Open Access•Zhiping Liang, Kaixun Yang et al.•ARTICLE•British Journal of Educational…•2026

    With the increasing application of GenAI in education, researchers and practitioners are paying more and more attention to its effectiveness and impact in teaching and learning. This can be evidenced by the increasing number of literature reviews on this topic published in recent years. However, these literature reviews seldom analysed the effectiveness of GenAI‐powered educational applications from the human–AI interaction perspective, which is …

Computer Science (2 works) · Innovative Teaching and Learning Methods (2 works) · Knowledge management (2 works) · AI in Service Interactions (1 works) · Analytics (1 works) · Artificial Intelligence (1 works) · Artificial Intelligence (1 works) · Artificial Intelligence in Healthcare and Education (1 works) · Coding (social sciences) (1 works) · Data science (1 works)

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