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Where is the teacher? Digital analytics for classroom proxemics

Published on May 4, 2020in Journal of Computer Assisted Learning
· DOI :10.1111/JCAL.12444
Roberto Martinez-Maldonado13
Estimated H-index: 13
(Monash University),
Jurgen Schulte17
Estimated H-index: 17
(UTS: University of Technology, Sydney)
+ 2 AuthorsSimon Buckingham Shum (UTS: University of Technology, Sydney)
Abstract
  • References (47)
  • Citations (0)
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References47
Newest
Apr 25, 2020 in CHI (Human Factors in Computing Systems)
#1Pengcheng An (TU/e: Eindhoven University of Technology)H-Index: 4
#2Saskia BakkerH-Index: 15
Last. Berry Eggen (TU/e: Eindhoven University of Technology)H-Index: 22
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In the past two years, an emerging body of HCI work has been focused on classroom proxemics - how teachers divide time and attention over students in the different regions of the classroom. Tracking and visualizing this implicit yet relevant dimension of teaching can benefit both research and teacher professionalization. Prior work has proved the value of depicting teachers' whereabouts. Yet a major opportunity remains in the design of new, synthesized visualizations that help researchers and pr...
1 CitationsSource
#1Roberto Martinez-Maldonado (Monash University)H-Index: 1
#1Roberto Martinez-Maldonado (Monash University)H-Index: 13
Last. Simon Buckingham Shum (UTS: University of Technology, Sydney)H-Index: 36
view all 6 authors...
1 CitationsSource
#1Roberto Martinez-Maldonado (Monash University)H-Index: 1
#1Roberto Martinez-Maldonado (UTS: University of Technology, Sydney)H-Index: 13
Last. Simon Buckingham Shum (UTS: University of Technology, Sydney)
view all 6 authors...
ABSTRACTLearning Analytics (LA) systems can offer new insights into learners’ behaviours through analysis of multiple data streams. There remains however a dearth of research about how LA interface...
3 CitationsSource
#1R Prestigiacomo (USYD: University of Sydney)H-Index: 1
#2Roger Hadgraft (UTS: University of Technology, Sydney)H-Index: 11
Last. Jane Hunter (UTS: University of Technology, Sydney)H-Index: 30
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1 CitationsSource
May 2, 2019 in CHI (Human Factors in Computing Systems)
#1Vanessa Echeverria (ESPOL: Escuela Superior Politecnica del Litoral)H-Index: 7
#2Roberto Martinez-Maldonado (UTS: University of Technology, Sydney)H-Index: 13
Last. Simon Buckingham Shum (UTS: University of Technology, Sydney)H-Index: 36
view all 3 authors...
Collocated, face-to-face teamwork remains a pervasive mode of working, which is hard to replicate online. Team members' embodied, multimodal interaction with each other and artefacts has been studied by researchers, but due to its complexity, has remained opaque to automated analysis. However, the ready availability of sensors makes it increasingly affordable to instrument work spaces to study teamwork and groupwork. The possibility of visualising key aspects of a collaboration has huge potentia...
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Mar 4, 2019 in LAK (Learning Analytics and Knowledge)
#1Yi Han Victoria Chua (NTU: Nanyang Technological University)H-Index: 3
#2Justin Dauwels (NTU: Nanyang Technological University)H-Index: 29
Last. Seng Chee Tan (NIE: National Institute of Education)H-Index: 2
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The motivation for this paper is derived from the fact that there has been increasing interest among researchers and practitioners in developing technologies that capture, model and analyze learning and teaching experiences that take place beyond computer-based learning environments. In this paper, we review case studies of tools and technologies developed to collect and analyze data in educational settings, quantify learning and teaching processes and support assessment of learning and teaching...
5 CitationsSource
Mar 4, 2019 in LAK (Learning Analytics and Knowledge)
#1Roberto Martinez-Maldonado (UTS: University of Technology, Sydney)H-Index: 13
Teachers are often encouraged to adopt different positioning strategies at various stages of a classroom lesson as each can influence learners in different ways. However, little work has been done to make evidence of the use of classrooms visible to teachers and students. As sensors drop in price, it is becoming more viable to capture traces of the use of the physical classroom space automatically. In this paper, we build on the notion of spatial pedagogy to propose an approach to visualise digi...
4 CitationsSource
#1Sarah Katherine Howard (UOW: University of Wollongong)H-Index: 9
#2Jie Yang (UOW: University of Wollongong)H-Index: 16
Last. Kylie WynneH-Index: 1
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Understanding technology-enhanced learning (TEL) in schools continues to be difficult. A key reason is the complexity of digital technology use in the classroom to support learning. One of the reasons for this is the difficulty observing classrooms for extended periods of time to capture learning and the relevance to teacher's practice. This paper demonstrates how new technologies, data mining and machine learning approaches can be employed to explore the natural TEL classroom over time and mean...
2 CitationsSource
#1Nigel Bosch (UIUC: University of Illinois at Urbana–Champaign)H-Index: 13
#2Caitlin Mills (UBC: University of British Columbia)H-Index: 15
Last. Daniel Smilek (UW: University of Waterloo)H-Index: 42
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Classroom teachers utilize many nonverbal activities, such as gesturing and walking, to maintain student attention. Quantifying instructor behaviors in a live classroom environment has traditionally been done through manual coding, a prohibitively time-consuming process which precludes providing timely, fine-grained feedback to instructors. Here we propose an automated method for assessing teachers’ non-verbal behaviors using video-based motion estimation tailored for classroom applications. Mot...
4 CitationsSource
#1Vanessa Echeverria (ESPOL: Escuela Superior Politecnica del Litoral)H-Index: 7
#2Roberto Martinez-Maldonado (UTS: University of Technology, Sydney)H-Index: 13
Last. Simon Buckingham Shum (UTS: University of Technology, Sydney)H-Index: 36
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Providing immediate, effective feedback on team and individual performance in healthcare simulations is a challenging task for educators, such is their complexity. Focusing on emergency procedures on patient manikins, our prior work has demonstrated the feasibility of using multimodal data capture and analysis to generate visualisations of student movement, talk and treatment actions. The limitation to date has been the need for manual steps in the analytic workflow. This paper documents how we ...
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