Open Access Paper
30 June 2022 Scalable laboratory experimentation using iLabs: the digital twins for experiments
Lars Thorben Neustock, Mohammad Asif Zaman, George K. Herring, Felix J. Garcia Clemente, Lambertus Hesselink
Author Affiliations +
Proceedings Volume 12297, Sixteenth Conference on Education and Training in Optics and Photonics: ETOP 2021; 122970M (2022) https://doi.org/10.1117/12.2635523
Event: Sixteenth Conference on Education and Training in Optics and Photonics: ETOP 2021, 2021, Online Only
Abstract
We propose using “iLabs,” which relies on the digitalization of an experiment and a virtual display with photographs, as a solution to overcome the lack of scalability of realistic online experimentation and facilitate educational conversations.

1.

The case for scalable online experiments

Online education’s most societally-impactful promise is its ability to lower the barrier to entry for learning. While most aspects of online education — such as streaming lectures and facilitating testing — are highly scalable, laboratory education is not. Yet, understanding the differences between theory and practice is crucial for optics education, or more broadly STEM education. Past attempts to solve this problem, which has been exacerbated during the pandemic, included using simulations, remote laboratories, or distribution of lab kits to students [1]. These attempts, however, hinge on their accurate representation of reality, scalability, and cost, respectively. Instead, we propose using our platform called iLabs, which is available at www.ilabs.education. We based this platform on the iLabs website developed at Stanford in the 90s with the Optical Society’s help through the “Optics for Kids” program. The old iLabs showed promising results for education [2].

The approach for the new solution is to first digitize an experiment in its entirety and then display it interactively on the aforementioned website [3]. For the first step, an automated software iterates through all states of an experiment. In the majority of cases, experiments are computer-controlled and a composition of a finite number of states. We provide software snippets illustrating how to write such iterative software. Then, the resulting data set can be uploaded using an interface on our website. For the second step, we created an interactive display of the data on the website. This display is focused on the visual element, using photographs taken during the recording in each respective state. It also recreates all controls and data displays of the original experiment. An impression of the display is shown in figure 1. Using the website, a student can change the input controls of the experiment, and the website shows a picture of the equipment in the respective new state and all data measurements. This measurement can include probabilistic features such as noise and uncertainty about the outcome [4], which is akin to actual physical experiments. The interactive experience is a core feature of iLabs. We aim to create a Digital Twin of the actual laboratory experiment that exhibits the same immersiveness for students. Such a Digital Twin can be used for the education of students and to display scientific results [5].

Fig. 1.

Experimental Display using the iLabs interface

00204_psisdg12297_122970m_page_1_1.jpg

2.

Case Study

To test out the potential impact of iLabs on education and learning, we have used it in one of Stanford’s most foundational optics courses, called EE236A - Modern Optics, which had 22 registered students [6]. We could not include the course’s usual laboratory and class demo components as we taught the course during the pandemic. Instead, we replaced them with a single lens imaging iLabs experiment in one of the homework sets. In this experiment, students could vary the distance between lens and object and lens and camera. They could then study the differences in the resulting image. The laws of geometrical optics, which the students encounter during the course, dictate these changes. We surveyed the students after they conducted the experiment and got positive feedback, primarily pointing towards the low barrier of access and the potential upside of using iLabs as an augmentation or training tool in addition to conventional labs (compare Figure 2 (a)).

Fig. 2.

(a) Example of a survey response (reproduced from [6]). The question was: ‘Please rate the following statement: iLabs can be a complementary learning tool to class lectures and homework exercises’; (b) Website navigation menu for an experiment, guiding to the experiment itself, theory, related works or, issues related to the experiment; (c) Example of a theory slide

00204_psisdg12297_122970m_page_2_1.jpg

3.

Scalable Conversations

We recently added additional features to the platform to leverage and link to other online resources: theory slides, a related work section, and an issues platform (compare Figure 2). With theory slides, the author of an iLabs experiment can provide background information in a presentation-style fashion, allowing students to read up on the theory underpinning the experiment. The related work section enables authors to add references to the experiment, such as textbooks or research papers. Students can refer to this section for further educational support. The last addition, an issues platform, facilitates a conversation between students (peer-learning) or instructors and students. As an example, suppose there is a question about the experiment and the observations. In that case, students can post them there, look at a similar previously asked question and assist in answering questions they are capable of answering. Through this process, we can facilitate a scalable conversation around experiments.

4.

Conclusion

In summary, the iLabs platform is a method to augment experimental learning with fully scalable interactive online experiments that function as an impetus for conversations. Experiments are especially suited to encourage discussions due to the unexpected nature of their outcome. We intend to create a larger iLabs community that we wish to encourage people to join.

References

1. 

Emily Kaye Faulconer and Amy B Gruss, “A review to weigh the pros and cons of online, remote, and distance science laboratory experiences,” International Review of Research in Open and Distributed Learning, 19 (2), (2018). Google Scholar

2. 

Lambertus Hesselink, Dharmarus Rizal, Eric Bjornson, Sandy Paik, Raj Batra, Peter Catrysse, Dan Savage, and Anthony Wong, “Stanford cyberlab: Internet assisted laboratories,” International Journal of Distance Education Technologies (IJDET), 1 (1), 21 –39 (2003). Google Scholar

3. 

Lars Thorben Neustock, George K Herring, and Lambertus Hesselink, “Remote experimentation with massively scalable online laboratories,” Online Engineering & Internet of Things, 258 –265 Springer,2018). Google Scholar

4. 

George K Herring, Lars Thorben Neustock, and Lambertus Hesselink, “Learning from the unexpected: Statistics and uncertainty in massively scalable online laboratories (msol),” in 2018 IEEE Global Engineering Education Conference (EDUCON), 815 –824 (2018). Google Scholar

5. 

Lars Thorben Neustock, George K Herring, and Lambertus Hesselink, “Immersive peer education: Virtual interactive scalable online notebooks for science (visons),” in 2018 IEEE Global Engineering Education Conference (EDUCON), 805 –814 (2018). Google Scholar

6. 

Mohammad Asif Zaman, Lars Thorben Neustock, and Lambertus Hesselink, “ilabs as an online laboratory platform: A case study at stanford university during the covid-19 pandemic,” IEEE, (in Press).Google Scholar
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lars Thorben Neustock, Mohammad Asif Zaman, George K. Herring, Felix J. Garcia Clemente, and Lambertus Hesselink "Scalable laboratory experimentation using iLabs: the digital twins for experiments", Proc. SPIE 12297, Sixteenth Conference on Education and Training in Optics and Photonics: ETOP 2021, 122970M (30 June 2022); https://doi.org/10.1117/12.2635523
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KEYWORDS
Control systems

Photography

Chemical elements

Electrical engineering

Geometrical optics

Human-machine interfaces

Optics education

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