Monica Williams

Novita

Papers

6

Total Citations

174

H-Index

4

About

Monica Williams is an educational technology researcher whose work sits at the intersection of robotics, Indigenous education, and digital pedagogy. Best known for her sustained investigation into humanoid robots in school settings, Williams has spent nearly a decade examining how these technologies can transform student learning across diverse educational contexts. Her most cited work, "Humanoid robots: learning a programming language to learn a traditional language" (2019, 106 citations), exemplifies her distinctive approach — exploring how Aboriginal and non-Aboriginal students can simultaneously develop computational thinking and engage with Indigenous languages through robotic platforms. This thread of cultural revitalization runs throughout her scholarship, including her early study on the Narungga language in South Australia, where robots became vehicles for awakening endangered Aboriginal heritage. Her landmark three-year, ten-school longitudinal study, documented across multiple publications, has provided teachers and policymakers with rare empirical insight into how humanoid robots can be meaningfully integrated from early childhood through Year 10. With over 170 citations and growing recognition in educational leadership and computational thinking research, Williams stands as a pioneering voice connecting emerging technology with inclusive, culturally responsive classroom practice.

Research Focus

Key Achievements

4
H-Index
6
Papers
174
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Humanoid robots: learning a programming language to learn a traditional language
106 citations · 2019
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Novita

Top Papers

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    Humanoid robots go to school
    23 citations · 2022
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago