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Experimental Learning in Engineering

Experimental Learning in Engineering is a research topic within Media Technology. Science Explorer counts 45k research works in it since 1950. 9.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the role and impact of remote laboratories in engineering education, focusing on topics such as virtual labs, control systems, hands-on experiments, STEM education, and simulation-based learning. It discusses the effectiveness of remote laboratories in providing access to practical learning experiences, particularly in the context of distance education and internet-accessible labs.

  • Remote Laboratories
  • Engineering Education
  • Virtual Labs
  • Control System
  • Hands-on Experiments
  • STEM Education
  • Internet Accessible Labs
  • Simulation-based Learning
  • LabVIEW
  • Distance Learning
Research works
45k
fractional, since 1950
In the world top 10%
4.5k
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
-30%
the tick is no change
Largest producer
United States
47% of the 10 largest, 2022-now
Experimental Learning in Engineering

Which countries lead Experimental Learning in Engineering research?

By volume, the United States and Indonesia publish the most (2k and 685 works in 2022-now).

By volume, 2022-now

  1. 1 United States 2k works
  2. 2 Indonesia 685 works
  3. 3 China 398 works
  4. 4 India 286 works
  5. 5 Spain 199 works
  6. 6 Germany 194 works
  7. 7 United Kingdom 149 works
  8. 8 Brazil 143 works
  9. 9 Canada 120 works
  10. 10 Malaysia 113 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

United States: 47.0%Indonesia: 15.9%China: 9.2%India: 6.6%6 others listed: 21.3%47%largest
United States2,029 · 47.0%Indonesia685 · 15.9%China398 · 9.2%India286 · 6.6%6 others listed919 · 21.3%

Shares of the rows listed above, not of the whole node.

Which institutions lead Experimental Learning in Engineering research?

By volume in 2022-now, Pennsylvania State University publishes the most Experimental Learning in Engineering research, followed by Purdue University West Lafayette and Indonesia University of Education.

Who are the leading researchers in Experimental Learning in Engineering?

The most-cited researchers publishing on Experimental Learning in Engineering include David H. Haussler, Frede Blaabjerg and R. W. L. Jones.

  1. 1 David H. Haussler United States 209k citations
  2. 2 Frede Blaabjerg Denmark 203k citations
  3. 3 R. W. L. Jones United Kingdom 189k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in Experimental Learning in Engineering?

The most cited paper in Experimental Learning in Engineering is "Active learning increases student performance in science, engineering, and mathematics" (Scott Freeman, Sarah L. Eddy, Miles J. McDonough et al., 2014), with 9,713 citations. Next come "Digital communications : fundamentals and applications" (3,140) and "Peer Instruction: Ten years of experience and results" (2,682).

Most cited papers
#PaperReleasedCitations
1 Active learning increases student performance in science, engineering, and mathematics Scott Freeman, Sarah L. Eddy, Miles J. McDonough et al. · Proceedings of the National Academy of Sciences Open access 12 May 2014 9,713
2 Digital communications : fundamentals and applications Bernard Sklar Open access 2 Jan 2017 3,140
3 Peer Instruction: Ten years of experience and results Catherine H. Crouch, Eric Mazur · American Journal of Physics Sep 2001 2,682
4 The laboratory in science education: Foundations for the twenty‐first century Avi Hofstein, Vincent N. Lunetta · Science Education 3 Dec 2003 2,563
5 Project-Based Learning for the 21st Century: Skills for the Future Stephanie Bell · The Clearing House A Journal of Educational Strategies Issues and Ideas 27 Jan 2010 2,472
All 100 most cited papers, with filters and sorting

Where is Experimental Learning in Engineering research done?

The largest centres of Experimental Learning in Engineering research in 2022-now are Yogyakarta (Indonesia), Bandung (Indonesia), Jakarta (Indonesia) and Beijing (China).

Largest cities, 2022-now

  1. 1 YogyakartaIndonesia 63 works
  2. 2 BandungIndonesia 62 works
  3. 3 JakartaIndonesia 60 works
  4. 4 BeijingChina 53 works
  5. 5 State CollegeUnited States 44 works
  6. 6 MadridSpain 44 works
  7. 7 SurabayaIndonesia 41 works
  8. 8 MedanIndonesia 40 works
  9. 9 PadangIndonesia 40 works
  10. 10 West LafayetteUnited States 39 works
See Experimental Learning in Engineering on the map

Where is the best place to study Experimental Learning in Engineering?

Among universities, judged by research, Tecnológico de Monterrey, University of Georgia and Purdue University West Lafayette score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%mean 19.38%fractional works in this field (log) →share of work in the world top 10% →University of GeorgiaSwinburne University…Tecnológico de Monte…Purdue University We…
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Tecnológico de MonterreyMexico 62.716.3%19.4×28 -1.2%
2University of GeorgiaUnited States 57.040.2%4.0×10 -8.6%
3Purdue University West LafayetteUnited States 56.716.2%7.5×39 -69.9%
4Swinburne University of TechnologyAustralia 53.721.4%6.0×9 +60.6%
5University of SheffieldUnited Kingdom 53.223.7%3.9×11 +100.4%
6University of Illinois Urbana-ChampaignUnited States 52.711.5%5.9×28 -13.6%
7Kennesaw State UniversityUnited States 52.717.7%22.0×14 +88.2%
8University of California San DiegoUnited States 52.734.1%1.8×9 +11.9%
9Pennsylvania State UniversityUnited States 51.77.1%7.3×44 -59.8%
10Yogyakarta State UniversityIndonesia 50.95.6%8.8×27 +29.9%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Experimental Learning in Engineering, country by country

Is Experimental Learning in Engineering research growing?

Output in 2022-2025 was 30% lower than in 2018-2021, peaking in 2020.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Experimental Learning in Engineering as a percentage of every work published that year, 0.042% in 2024.

still counting0.050%0.10%Experimental Learning in Engineering0.025% in 202519801990200020102020

Fractional works of Experimental Learning in Engineering over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Experimental Learning in Engineering10.2% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.

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