In-Presence, Take-Home, and Online Education: The State of Equipment Use and Practices in Robotics Labs and Other Hands-On Activities

A study is presented that gives an overview of the state of the art in hands-on robotics education. It is based on an international survey among instructors on their use of different forms of equipment, i.e., robot hardware, simulation, and data-sets, in combination with different access forms, i.e., in-presence, online, and take-home, across different teaching activities with practical components, i.e., labs, projects, and the supervision of BSc/MSc theses. Furthermore, it is checked whether the COVID-19 pandemic, which broke out 5 years before survey, had lasting effects. It turns out that simulation is the most popular form of regularly used equipment, i.e., almost all instructors report to use simulation in robotics hands-on activities. It is followed by robot hardware where it is noteworthy that in labs about a quarter, i.e., 24% of the instructors do not regularly use it. Data-sets are particular popular as a occasionally used element. With respect to access forms, in-presence dominates for hardware. For simulation and data-sets, in-presence, online, and take-home are all popular and often used in combination. Among the alternatives to in-presence use of hardware, take-home robotics hardware is clearly more popular than online, i.e., remote access to robots. While the effect is less pronounced for participants with more than 10 years of teaching experience, there is a clear sentiment that the COVID-19 pandemic has had lasting effects on hands-on teaching in robotics. Instructors experimented with new forms of hands-on teaching during the pandemic, and they kept (some of) the changes afterward.

Authors

Institutions

Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3614055
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

In-Presence, Take-Home, and Online Education: The State of Equipment Use and Practices in Robotics Labs and Other Hands-On Activities

Andreas Birk
IEEE Access
Teaching and Learning Programming
article

In-Presence, Take-Home, and Online Education: The State of Equipment Use and Practices in Robotics Labs and Other Hands-On Activities

Andreas Birk
article en

Abstract

A study is presented that gives an overview of the state of the art in hands-on robotics education. It is based on an international survey among instructors on their use of different forms of equipment, i.e., robot hardware, simulation, and data-sets, in combination with different access forms, i.e., in-presence, online, and take-home, across different teaching activities with practical components, i.e., labs, projects, and the supervision of BSc/MSc theses. Furthermore, it is checked whether the COVID-19 pandemic, which broke out 5 years before survey, had lasting effects. It turns out that simulation is the most popular form of regularly used equipment, i.e., almost all instructors report to use simulation in robotics hands-on activities. It is followed by robot hardware where it is noteworthy that in labs about a quarter, i.e., 24% of the instructors do not regularly use it. Data-sets are particular popular as a occasionally used element. With respect to access forms, in-presence dominates for hardware. For simulation and data-sets, in-presence, online, and take-home are all popular and often used in combination. Among the alternatives to in-presence use of hardware, take-home robotics hardware is clearly more popular than online, i.e., remote access to robots. While the effect is less pronounced for participants with more than 10 years of teaching experience, there is a clear sentiment that the COVID-19 pandemic has had lasting effects on hands-on teaching in robotics. Instructors experimented with new forms of hands-on teaching during the pandemic, and they kept (some of) the changes afterward.

IEEE AccessVol. 13
Constructor University (DE)
Openalex Percentile: Top 71%
Teaching and Learning Programming
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.