Linxuan Zhao
Biographic Data
| ID | 8975431 |
|---|---|
| NAME | Linxuan Zhao |
| GIVEN NAMES | Linxuan |
| FAMILY NAME | Zhao |
| SIGNATURE | ZHAO L |
| AFFILIATIONS | Faculty of Information Technology, Centre for Learning Analytics at Monash Monash University Clayton Victoria Australia |
| ORCID | 0000-0001-5564-0185 |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 11 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Automated multimodal visual analytics of social and epistemic dimensions in team communication for reflective practice in healthcare simulation
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…
FLoRA
Ink and algorithm
The advent of Generative AI (GAI) has transformed writing, marking a shift towards GAI‐assisted writing in education. However, the dynamics of human–AI interaction in the writing process are not well‐understood, and thus, it remains largely unknown how human learning can be effectively supported with such technologies. This study addresses this gap by investigating how humans employ GAI during writing and examining the interplay between patterns …
The effects of generative AI agents and scaffolding on enhancing students’ comprehension of visual learning analytics
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…
A learning analytics dashboard to support students' reflection on collaboration
Dissecting the temporal dynamics of embodied collaborative learning using multimodal learning analytics
Embodied collaborative learning, intertwining verbal and physical behaviors, is an intricate learning process demanding a multifaceted approach for comprehensive understanding. Prior studies in this field have often neglected the temporal dynamics and the interplay between verbal and bodily behaviors in collaborative learning settings. This study bridges this gap by employing an integrative approach combining social constructivism, situated cogni…
Assessment of eco-environment quality using multi-source remote sensing data
Accurate analysis of regional eco-environment quality (EEQ) changes is essential for urban sustainability. Most of the widely used EEQ indicators ignore the impact of air pollution caused by urbanization and economic growth. This study proposed a remote sensing-based approach using a time-series comprehensive evaluation index (CEI), which was developed by PM2.5 concentration, Land surface temperature (LST), and vegetation coverage (VC) to assess …
Evidence‐based multimodal learning analytics for feedback and reflection in collaborative learning
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
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
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…
The role of indoor positioning analytics in assessment of simulation‐based learning
Simulation‐based learning provides students with unique opportunities to develop key procedural and teamwork skills in close‐to‐authentic physical learning and training environments. Yet, assessing students' performance in such situations can be challenging and mentally exhausting for teachers. Multimodal learning analytics can support the assessment of simulation‐based learning by making salient aspects of students' activities visible for evalua…
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The role of indoor positioning analytics in assessment of simulation‐based learning
Simulation‐based learning provides students with unique opportunities to develop key procedural and teamwork skills in close‐to‐authentic physical learning and training environments. Yet, assessing students' performance in such situations can be challenging and mentally exhausting for teachers. Multimodal learning analytics can support the assessment of simulation‐based learning by making salient aspects of students' activities visible for evalua…
Evidence‐based multimodal learning analytics for feedback and reflection in collaborative learning
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
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
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…
The effects of generative AI agents and scaffolding on enhancing students’ comprehension of visual learning analytics
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…
A learning analytics dashboard to support students' reflection on collaboration
Dissecting the temporal dynamics of embodied collaborative learning using multimodal learning analytics
Embodied collaborative learning, intertwining verbal and physical behaviors, is an intricate learning process demanding a multifaceted approach for comprehensive understanding. Prior studies in this field have often neglected the temporal dynamics and the interplay between verbal and bodily behaviors in collaborative learning settings. This study bridges this gap by employing an integrative approach combining social constructivism, situated cogni…
Assessment of eco-environment quality using multi-source remote sensing data
Accurate analysis of regional eco-environment quality (EEQ) changes is essential for urban sustainability. Most of the widely used EEQ indicators ignore the impact of air pollution caused by urbanization and economic growth. This study proposed a remote sensing-based approach using a time-series comprehensive evaluation index (CEI), which was developed by PM2.5 concentration, Land surface temperature (LST), and vegetation coverage (VC) to assess …
Automated multimodal visual analytics of social and epistemic dimensions in team communication for reflective practice in healthcare simulation
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…
FLoRA
Ink and algorithm
The advent of Generative AI (GAI) has transformed writing, marking a shift towards GAI‐assisted writing in education. However, the dynamics of human–AI interaction in the writing process are not well‐understood, and thus, it remains largely unknown how human learning can be effectively supported with such technologies. This study addresses this gap by investigating how humans employ GAI during writing and examining the interplay between patterns …
Computer Science (8 works) · Analytics (6 works) · Data science (6 works) · Learning analytics (6 works) · Knowledge management (5 works) · Online Learning and Analytics (5 works) · Innovative Teaching and Learning Methods (4 works) · Mathematics education (4 works) · Psychology (4 works) · Artificial Intelligence (3 works)