Comparison of Example-based Learning and Problem-based Learning in Engineering Domain
نویسندگان
چکیده
The research was conducted to compare the impacts of problem-based learning (PBL) and example-based learning (EBL) on the learning performance in an engineering domain. The research was implemented by means of experimental design. Specifically, a two-group experiment with a preand post-test design was used in this research. A total of 37 students were randomly assigned to PBL and EBL groups. A preand post test were developed to measure learning performance. In addition, cognitive loads imposed by those learning strategies were gauged using NASA-TLX questionnaire. The results reveal that EBL is a more effective way to enhance learning performance and induces lower cognitive load during the process of learning and answering the test in comparison to PBL.
منابع مشابه
Comparison of Lecture and Problem-Based Learning on Learning of Nursing Students
Background: The purposes of this study were to develop a problem-based learning program for nursing student’s education and to evaluate the program after its implementation. Methods: An intervention study carried out on 27 third year undergraduate nursing students in the nursing and midwifery faculty of Kashan University of Medical Sciences. Problem-based learning method was used for one group...
متن کاملTwo Novel Learning Algorithms for CMAC Neural Network Based on Changeable Learning Rate
Cerebellar Model Articulation Controller Neural Network is a computational model of cerebellum which acts as a lookup table. The advantages of CMAC are fast learning convergence, and capability of mapping nonlinear functions due to its local generalization of weight updating, single structure and easy processing. In the training phase, the disadvantage of some CMAC models is unstable phenomenon...
متن کاملA novel method based on a combination of deep learning algorithm and fuzzy intelligent functions in order to classification of power quality disturbances in power systems
Automatic classification of power quality disturbances is the foundation to deal with power quality problem. From the traditional point of view, the identification process of power quality disturbances should be divided into three independent stages: signal analysis, feature selection and classification. However, there are some inherent defects in signal analysis and the procedure of manual fe...
متن کاملAn integrated approach for scheduling flexible job-shop using teaching–learning-based optimization method
In this paper, teaching–learning-based optimization (TLBO) is proposed to solve flexible job shop scheduling problem (FJSP) based on the integrated approach with an objective to minimize makespan. An FJSP is an extension of basic job-shop scheduling problem. There are two sub problems in FJSP. They are routing problem and sequencing problem. If both the sub problems are solved simultaneously, t...
متن کاملImage Classification via Sparse Representation and Subspace Alignment
Image representation is a crucial problem in image processing where there exist many low-level representations of image, i.e., SIFT, HOG and so on. But there is a missing link across low-level and high-level semantic representations. In fact, traditional machine learning approaches, e.g., non-negative matrix factorization, sparse representation and principle component analysis are employed to d...
متن کامل