Acquisition and User Behavior in Online Science Laboratories before and during the COVID-19 Pandemic
Abstract
:1. Introduction
- Did OLabs platform usage increase during COVID-19 as compared to pre COVID-19?
- Are there specific OLabs that learners accessed more than others?
- What were user preferences for skill types, such as simulation, animation, theory, etc.?
- Are there patterns in terms of new users vs. returning users?
- Which subjects were most accessed?
- Is there a gender bias in terms of OLabs access?
- Did users have preference for a device type while accessing OLabs?
2. Literature Review
3. About OLabs—Online Laboratories for Science Experiments
4. Study Methodology Using Google Analytics
Definitions of the Google—Analytics Indicators
- Pageviews—This indicator specifies the total number of pages viewed, including those viewed by the same user several times.
- Unique Pageviews—This indicator considers the number of unique users who have viewed a page at least once and eliminates users accessing the same page several times.
- Avg. Time on Pages—The average amount of time users spend viewing a specific page.
- Bounce Rate—This shows how many users leave a website after visiting only one page. For example, if you read a single article or page on a website and then leave, this is considered a bounce and is considered when calculating the bounce rate.
- New vs. Returning Visitors—New visitors are individuals that have not engaged with a given website in a particular time, while returning site visitors will have made a minimum of one visit to at least one page of a given site in that duration.
5. OLabs Analytics—Usage, Skill Type, Subject, Gender, Device
5.1. OLabs Platform Usage Trends
5.2. Most Viewed OLabs
5.3. Understanding Learner Preferences
5.4. How Many Visitors Are Returning?
5.5. Top Skill Types Used by Learners
5.6. Most Accessed Content of a Subject by Skill Type
5.7. Gender Analysis
5.8. Content Accessed by Device Type
6. Discussion
7. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Name of the Lab | Unique Pageviews | Skill Type | Class | Subject | Avg. Time on Page |
---|---|---|---|---|---|
Ohm’s Law and Resistance | 222,798 | Theory | Class 12 | Physics | 00:02:25 |
Vernier Calipers | 132,498 | Theory | Class 11 | Physics | 00:04:23 |
Ohm’s Law and Resistance | 124,846 | Simulator | Class 12 | Physics | 00:09:41 |
Onion and Cheek Cells | 119,411 | Theory | Class 9 | Biology | 00:05:24 |
Screw Gauge | 119,053 | Theory | Class 11 | Physics | 00:04:38 |
Vernier Calipers | 107,233 | Simulator | Class 11 | Physics | 00:13:32 |
Separation of Mixtures Using Different Techniques | 102,749 | Theory | Class 9 | Chemistry | 00:08:43 |
Tests for the Functional Groups | 83,675 | Theory | Class 12 | Chemistry | 00:10:31 |
Determination of Concentration of KMnO₄ solution | 79,440 | Theory | Class 12 | Chemistry | 00:04:23 |
Decomposition Reaction | 78,108 | Theory | Class 10 | Chemistry | 00:07:08 |
Screw Gauge (Simulator) | 77,686 | Simulator | Class 11 | Physics | 00:09:09 |
Study of Pollen Germination | 71,698 | Theory | Class 12 | Biology | 00:02:36 |
Single Displacement Reaction | 68,641 | Theory | Class 10 | Chemistry | 00:04:40 |
Separation of Mixtures Using Different Techniques | 65,523 | Theory | Class 9 | Chemistry | 00:26:42 |
The Potentiometer: Comparison of EMF | 65,217 | Theory | Class 12 | Physics | 00:03:49 |
Total Visitors | Average of Unique Pageviews | Average of Bounce Rate |
---|---|---|
Simulations | 3621.6 | 12.3% |
Animations and Video | 1915.5 | 14.0% |
Skill Type | Avg. Time on Page | Avg. of Bounce Rate | Unique Pageviews |
---|---|---|---|
Theory | 00:10:15 | 19% | 4,823,389 |
Simulation | 00:09:29 | 9% | 2,124,868 |
Procedure | 00:07:00 | 21% | 1,324,577 |
Video | 00:06:00 | 15% | 473,059 |
Viva Voce | 00:04:01 | 21% | 344,163 |
Animation | 00:03:15 | 11% | 729,666 |
Resources | 00:02:00 | 14% | 119,087 |
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Raman, R.; Vinuesa, R.; Nedungadi, P. Acquisition and User Behavior in Online Science Laboratories before and during the COVID-19 Pandemic. Multimodal Technol. Interact. 2021, 5, 46. https://doi.org/10.3390/mti5080046
Raman R, Vinuesa R, Nedungadi P. Acquisition and User Behavior in Online Science Laboratories before and during the COVID-19 Pandemic. Multimodal Technologies and Interaction. 2021; 5(8):46. https://doi.org/10.3390/mti5080046
Chicago/Turabian StyleRaman, Raghu, Ricardo Vinuesa, and Prema Nedungadi. 2021. "Acquisition and User Behavior in Online Science Laboratories before and during the COVID-19 Pandemic" Multimodal Technologies and Interaction 5, no. 8: 46. https://doi.org/10.3390/mti5080046
APA StyleRaman, R., Vinuesa, R., & Nedungadi, P. (2021). Acquisition and User Behavior in Online Science Laboratories before and during the COVID-19 Pandemic. Multimodal Technologies and Interaction, 5(8), 46. https://doi.org/10.3390/mti5080046