Framework for the Parallelized Development of Estimation Tasks for Length, Area, Capacity and Volume in Primary School - A Pilot Study

Research output: Journal contributionsJournal articlesResearchpeer-review

Authors

The purpose of this study is to present a framework for the development of parallelized estimation tasks for the visible measures length, area, capacity, and volume. To investigate if there are differences between the estimation types of task, a written estimation test for 3rd- and 4th-graders was developed. It includes eight different types of task for each measure. The percentage deviation of the estimated value from the real value (the measured size) of 137 students indicates that there are differences between the four measures as well as within the types of task that affect over- and underestimation and the estimation accuracy. Further research could address relations between the estimation of visible measures and the investigation of more characteristics in an estimation task, using a written estimation test that is based on this valid framework.
Original languageEnglish
JournalJournal of Research in Science, Mathematics and Technology Education
Volume2
Issue number1
Pages (from-to)9-28
Number of pages20
ISSN2577-6789
DOIs
Publication statusPublished - 28.01.2019

    Research areas

  • Educational science - Estimation test, Estimation tasks, measurement estimation, Parallelized items, Visible measures

Links

DOI

Recently viewed

Publications

  1. Essentializing the binary self
  2. Using haar wavelets for fault detection in technical processes
  3. Using mixture distribution models to test the construct validity of the Physical Self-Description Questionnaire
  4. Adaptive and Dynamic Feedback Loops between Production System and Production Network based on the Asset Administration Shell
  5. Inversion of Fuzzy Neural Networks for the Reduction of Noise in the Control Loop for Automotive Applications
  6. Predicting the Difficulty of Exercise Items for Dynamic Difficulty Adaptation in Adaptive Language Tutoring
  7. Evaluation of Time/Phase Parameters in Frequency Measurements for Inertial Navigation Systems
  8. The Scalable Question Answering Over Linked Data (SQA) Challenge 2018
  9. A Lightweight Simulation Model for Soft Robot's Locomotion and its Application to Trajectory Optimization
  10. Optimal regulation for dynamic hybrid systems based on dynamic programming in the case of an intelligent vehicle drive assistant
  11. Application of non-convex rate dependent gradient plasticity to the modeling and simulation of inelastic microstructure development and inhomogeneous material behavior
  12. Expertise in research integration and implementation for tackling complex problems
  13. Set-oriented numerical computation of rotation sets
  14. An MPC for an Aggregate Actuator with a Self-Tuning Feedforward Control
  15. On the Power and Performance of a Doubly Latent Residual Approach to Explain Latent Specific Factors in Multilevel-Bifactor-(S-1) Models
  16. Machine Learning and Knowledge Discovery in Databases
  17. Making an Impression Through Openness
  18. Building a process layer for business applications using the blackboard pattern
  19. A model predictive control for an aggregate actuator with a self-tuning initial condition procedure in combustion engines
  20. A discrete approximate solution for the asymptotic tracking problem in affine nonlinear systems
  21. Global text processing in CSCL with learning protocols
  22. Performance and Comfort when Using Motion-Controlled Tools in Complex Tasks
  23. Neural network-based adaptive fault-tolerant control for strict-feedback nonlinear systems with input dead zone and saturation
  24. N3 - A collection of datasets for named entity recognition and disambiguation in the NLP interchange format
  25. Comparing the Sensitivity of Social Networks, Web Graphs, and Random Graphs with Respect to Vertex Removal
  26. Optimal trajectory generation using MPC in robotino and its implementation with ROS system
  27. Multi-Parallel Sending Coils for Movable Receivers in Inductive Charging Systems
  28. Computational modeling of material flow networks
  29. On the Nonlinearity Compensation in Permanent Magnet Machine Using a Controller Based on a Controlled Invariant Subspace
  30. Paraphrasing Method for Controlling a Robotic Arm Using a Large Language Model
  31. Anomaly detection in formed sheet metals using convolutional autoencoders
  32. A Multilevel CFA-MTMM Model for Nested Structurally Different Methods
  33. Framework for setting up and operating biobanks