Two comparative studies of computer simulations and experiments as learning tools in school and out-of-school education
Bibliographic Data
| ID | 21335918 |
|---|---|
| Authors | Johanna T Krüger (0000-0001-8353-2018, Leibniz Institute for Science and Mathematics Education, corresponding author), Tim Höffler (0000-0002-3721-2109, Leibniz Institute for Science and Mathematics Education), Tim N Höffler, Martin Wahl (0000-0001-8703-3857, GEOMAR Helmholtz Centre for Ocean Research Kiel), Katrin Knickmeier (Leibniz Institute for Science and Mathematics Education), Ilka Parchmann (0000-0001-9706-9765, Leibniz Institute for Science and Mathematics Education) |
| Year | 2022 |
| Volume | 50 |
| Issue | 2 |
| Pages | 169-197 |
| Publication date | 2022-04-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Instructional Science (JOURNAL) |
| Journal identifiers | ISSN: 0020-4277 • E-ISSN: 1573-1952 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11251-021-09566-1 |
| OpenAlex | W4221050162 |
| Language | EN |
| Citations received | 4 |
| References cited | 50 |
Interactive computer simulations and hands-on experiments are important teaching methods in modern science education. Especially for the communication of complex current topics with social relevance (socioscientific issues), suitable methods in science education are of great importance. However, previous studies could not sufficiently clarify the educational advantages and disadvantages of both methods and often lack adequate comparability. This paper presents two studies of direct comparisons of hands-on experiments and interactive computer simulations as learning tools in science education for secondary school students in two different learning locations (Study I: school; Study II: student laboratory). Using a simple experimental research design with type of learning location as between-subjects factor ( N Study I = 443, N Study II = 367), these studies compare working on computer simulations versus experiments in terms of knowledge achievement, development of situational interest and cognitive load. Independent of the learning location, the results showed higher learning success for students working on computer simulations than while working on experiments, despite higher cognitive load. However, working on experiments promoted situational interest more than computer simulations (especially the epistemic and value-related component). We stated that simulations might be particularly suitable for teaching complex topics. The findings reviewed in this paper moreover imply that working with one method may complement and supplement the weaknesses of the other. We conclude that that the most effective way to communicate complex current research topics might be a combination of both methods. These conclusions derive a contribution to successful modern science education in school and out-of-school learning contexts
Cognition · Comparability · Educational psychology · Educational research · Educational technology · Learning Sciences · Mathematics education · Relevance (law) · Science education · Situational ethics · Computer Science · Innovative Teaching and Learning Methods · Psychology · Science Education and Pedagogy · Social Psychology · Visual and Cognitive Learning Processes
Algorithmic Explanations as a Scaffold for Scientific Explanation
Using Stop Motion Animations to Activate and Analyze High School Students’ Intuitive Resources about Reaction Mechanisms
A systematic review of factors that predict and mediate conceptual change
Does inquiry-based learning work better in regular classrooms or computer-based settings
Visible Learning for Teachers
Learning science in immersive virtual reality.
Cognitive Load Theory
Physical and Virtual Laboratories in Science and Engineering Education
Measurement of Cognitive Load in Instructional Research
Cognitive Load Measurement as a Means to Advance Cognitive Load Theory
Cognitive load in multimedia learning environments
The learning effects of computer simulations in science education
Effects of pairs of problems and examples on task performance and different types of cognitive load
Cognitive Load Theory and Complex Learning
The laboratory in science education
Should There Be a Three-Strikes Rule Against Pure Discovery Learning?
Student interest generated during an inquiry skills lesson
Cognitive Load Theory and Instructional Design
Computer Simulations to Support Science Instruction and Learning
Towards a More Authentic Science Curriculum
Individual interest and its implications for understanding intrinsic motivation
Cognitive load theory, educational research, and instructional design
Supporting middle school students’ science talk
Can an immersive virtual reality simulation increase students’ interest and career aspirations in science
Successful Remembering and Successful Forgetting
The Effectiveness of Internet-based Instruction
Scientific Discovery Learning with Computer Simulations of Conceptual Domains
| Unique citing works | 4 |
|---|---|
| Citations per year | 1.33 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 4 |