Learning with animations and simulations in a computer-based learning environment about torques

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearch

Standard

Learning with animations and simulations in a computer-based learning environment about torques. / Ehmke, Timo; Wünscher, Thilo.
Educational Technology: Proceedings of the International Conference on ICT's in Education: Proceedings of the International Conference on ICT's in Education. ed. / A. Méndez-Vilas; J. A. M. González. Vol. 3 Consejería de Educación, Ciencia y Tecnología, 2002. p. 1426-1430.

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearch

Harvard

Ehmke, T & Wünscher, T 2002, Learning with animations and simulations in a computer-based learning environment about torques. in A Méndez-Vilas & JAM González (eds), Educational Technology: Proceedings of the International Conference on ICT's in Education: Proceedings of the International Conference on ICT's in Education. vol. 3, Consejería de Educación, Ciencia y Tecnología, pp. 1426-1430, International Conference on ICT's in Education 2001 , Badajoz, Spain, 06.08.01.

APA

Ehmke, T., & Wünscher, T. (2002). Learning with animations and simulations in a computer-based learning environment about torques. In A. Méndez-Vilas, & J. A. M. González (Eds.), Educational Technology: Proceedings of the International Conference on ICT's in Education: Proceedings of the International Conference on ICT's in Education (Vol. 3, pp. 1426-1430). Consejería de Educación, Ciencia y Tecnología.

Vancouver

Ehmke T, Wünscher T. Learning with animations and simulations in a computer-based learning environment about torques. In Méndez-Vilas A, González JAM, editors, Educational Technology: Proceedings of the International Conference on ICT's in Education: Proceedings of the International Conference on ICT's in Education. Vol. 3. Consejería de Educación, Ciencia y Tecnología. 2002. p. 1426-1430

Bibtex

@inbook{98a6d72ad5744d6fa4a233e4a980b6bd,
title = "Learning with animations and simulations in a computer-based learning environment about torques",
abstract = "Computer-based learning environments offer the possibility to present interactive simulations, which students can manipulate and explore and allow studying functional relations actively. Animations like a short video clip offer - besides interactive simulations - an alternative method for visualizing the dynamic behavior of a complex subject matter. With an animation the problem that students are cognitively overtaxed by the degree of freedom the simulation allows or that they are unable to find suitable hypotheses for experimenting does not exist. One can, therefore, assume that the degree of instructional goal orientation (in the sense of assistance to focus on the learning content) is a conditional variable which determines whether learning is better with animations or with simulations. In an empirical study with four experimental groups knowledge acquisition from animations was compared to knowledge acquisition from simulations. In each group there was additional differentiation between a high and a low level of instructional goal orientation. The learning content was a computer-based learning unit in school physics about torques. There were four versions of the teaching unit. The simulations were realized using dynamic geometry modules, the animations with appropriate video sequences. lt was differentiated between a high and low level of instructional goal orientation by using a different length of information text for every animation or simulation. A total of 52 students from three German schools worked on the computer-based learning unit about torques. In the study, learning with simulations resulted in a significantly higher learning effect, both with a high and with a low instructional goal orientation. These results let us assume that explorative learning with simulations is connected with additional requirements for learning, which (in this study) could not be reduced by a higher level of instructional goal orientation. Interactive simulations offer an instrumental support for the development of mental models, but this does not necessarily lead to a better learning effect. Increased instrumental and cognitive requirements through the learning medium can disturb students' learning. ",
keywords = "Educational science",
author = "Timo Ehmke and Thilo W{\"u}nscher",
year = "2002",
language = "English",
isbn = "8495251760",
volume = "3",
pages = "1426--1430",
editor = "A. M{\'e}ndez-Vilas and Gonz{\'a}lez, {J. A. M. }",
booktitle = "Educational Technology: Proceedings of the International Conference on ICT's in Education",
publisher = "Consejer{\'i}a de Educaci{\'o}n, Ciencia y Tecnolog{\'i}a",
address = "Spain",
note = "International Conference on ICT's in Education 2001 ; Conference date: 06-08-2001 Through 09-08-2001",

}

RIS

TY - CHAP

T1 - Learning with animations and simulations in a computer-based learning environment about torques

AU - Ehmke, Timo

AU - Wünscher, Thilo

PY - 2002

Y1 - 2002

N2 - Computer-based learning environments offer the possibility to present interactive simulations, which students can manipulate and explore and allow studying functional relations actively. Animations like a short video clip offer - besides interactive simulations - an alternative method for visualizing the dynamic behavior of a complex subject matter. With an animation the problem that students are cognitively overtaxed by the degree of freedom the simulation allows or that they are unable to find suitable hypotheses for experimenting does not exist. One can, therefore, assume that the degree of instructional goal orientation (in the sense of assistance to focus on the learning content) is a conditional variable which determines whether learning is better with animations or with simulations. In an empirical study with four experimental groups knowledge acquisition from animations was compared to knowledge acquisition from simulations. In each group there was additional differentiation between a high and a low level of instructional goal orientation. The learning content was a computer-based learning unit in school physics about torques. There were four versions of the teaching unit. The simulations were realized using dynamic geometry modules, the animations with appropriate video sequences. lt was differentiated between a high and low level of instructional goal orientation by using a different length of information text for every animation or simulation. A total of 52 students from three German schools worked on the computer-based learning unit about torques. In the study, learning with simulations resulted in a significantly higher learning effect, both with a high and with a low instructional goal orientation. These results let us assume that explorative learning with simulations is connected with additional requirements for learning, which (in this study) could not be reduced by a higher level of instructional goal orientation. Interactive simulations offer an instrumental support for the development of mental models, but this does not necessarily lead to a better learning effect. Increased instrumental and cognitive requirements through the learning medium can disturb students' learning.

AB - Computer-based learning environments offer the possibility to present interactive simulations, which students can manipulate and explore and allow studying functional relations actively. Animations like a short video clip offer - besides interactive simulations - an alternative method for visualizing the dynamic behavior of a complex subject matter. With an animation the problem that students are cognitively overtaxed by the degree of freedom the simulation allows or that they are unable to find suitable hypotheses for experimenting does not exist. One can, therefore, assume that the degree of instructional goal orientation (in the sense of assistance to focus on the learning content) is a conditional variable which determines whether learning is better with animations or with simulations. In an empirical study with four experimental groups knowledge acquisition from animations was compared to knowledge acquisition from simulations. In each group there was additional differentiation between a high and a low level of instructional goal orientation. The learning content was a computer-based learning unit in school physics about torques. There were four versions of the teaching unit. The simulations were realized using dynamic geometry modules, the animations with appropriate video sequences. lt was differentiated between a high and low level of instructional goal orientation by using a different length of information text for every animation or simulation. A total of 52 students from three German schools worked on the computer-based learning unit about torques. In the study, learning with simulations resulted in a significantly higher learning effect, both with a high and with a low instructional goal orientation. These results let us assume that explorative learning with simulations is connected with additional requirements for learning, which (in this study) could not be reduced by a higher level of instructional goal orientation. Interactive simulations offer an instrumental support for the development of mental models, but this does not necessarily lead to a better learning effect. Increased instrumental and cognitive requirements through the learning medium can disturb students' learning.

KW - Educational science

M3 - Article in conference proceedings

SN - 8495251760

SN - 9788495251763

VL - 3

SP - 1426

EP - 1430

BT - Educational Technology: Proceedings of the International Conference on ICT's in Education

A2 - Méndez-Vilas, A.

A2 - González, J. A. M.

PB - Consejería de Educación, Ciencia y Tecnología

T2 - International Conference on ICT's in Education 2001

Y2 - 6 August 2001 through 9 August 2001

ER -

Recently viewed

Publications

  1. Joint entity and relation linking using EARL
  2. Learning Rotation Sensitive Neural Network for Deformed Objects' Detection in Fisheye Images
  3. Dynamic adjustment of dispatching rule parameters in flow shops with sequence-dependent set-up times
  4. Evaluating the construct validity of Objective Personality Tests using a multitrait-multimethod-Multioccasion-(MTMM-MO)-approach
  5. Analyzing different types of moderated method effects in confirmatory factor models for structurally different methods
  6. A coding scheme to analyse global text processing in computer supported collaborative learning: What eye movements can tell us
  7. Binary Random Nets I
  8. Using Natural Language Processing Techniques to Tackle the Construct Identity Problem in Information Systems Research
  9. Ant colony optimization algorithm and artificial immune system applied to a robot route
  10. Development of a Didactic Graphical Simulation Interface on MATLAB for Systems Control
  11. Graph Conditional Variational Models: Too Complex for Multiagent Trajectories?
  12. Analysis of Complexity Reduction in Kalman Filters Through Decoupling Control With Chattered Inputs in PMSM
  13. Towards a Dynamic Interpretation of Subjective and Objective Values
  14. Using protochirons for three-dimensional coding of certain chemical structures.
  15. Adaptive and Dynamic Feedback Loops between Production System and Production Network based on the Asset Administration Shell
  16. Predicting the Difficulty of Exercise Items for Dynamic Difficulty Adaptation in Adaptive Language Tutoring
  17. The Scalable Question Answering Over Linked Data (SQA) Challenge 2018
  18. A Lightweight Simulation Model for Soft Robot's Locomotion and its Application to Trajectory Optimization
  19. Application of non-convex rate dependent gradient plasticity to the modeling and simulation of inelastic microstructure development and inhomogeneous material behavior
  20. Isocodal and isospectral points, edges, and pairs in graphs and how to cope with them in computerized symmetry recognition
  21. On the Power and Performance of a Doubly Latent Residual Approach to Explain Latent Specific Factors in Multilevel-Bifactor-(S-1) Models
  22. Building a process layer for business applications using the blackboard pattern
  23. A discrete approximate solution for the asymptotic tracking problem in affine nonlinear systems
  24. Global text processing in CSCL with learning protocols
  25. Performance and Comfort when Using Motion-Controlled Tools in Complex Tasks
  26. Neural network-based adaptive fault-tolerant control for strict-feedback nonlinear systems with input dead zone and saturation
  27. N3 - A collection of datasets for named entity recognition and disambiguation in the NLP interchange format
  28. Comparing the Sensitivity of Social Networks, Web Graphs, and Random Graphs with Respect to Vertex Removal
  29. Optimal trajectory generation using MPC in robotino and its implementation with ROS system
  30. Multi-Parallel Sending Coils for Movable Receivers in Inductive Charging Systems
  31. On the Nonlinearity Compensation in Permanent Magnet Machine Using a Controller Based on a Controlled Invariant Subspace
  32. Paraphrasing Method for Controlling a Robotic Arm Using a Large Language Model
  33. Anomaly detection in formed sheet metals using convolutional autoencoders
  34. A Multilevel CFA-MTMM Model for Nested Structurally Different Methods
  35. Selection and Recognition of Statistically Defined Signals in Learning Systems
  36. Linux-based Embedded System for Wavelet Denoising and Monitoring of sEMG Signals using an Axiomatic Seminorm