deep and surface learning
Approaches To Learning And Age In Predicting College Students’ Academic Achievement
... the deep approach, the surface approach was no correlation ...to learning and academic achievement ranged from ...the deep approach to ...the surface approach and academic achievement ...
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Focusing on first year assessment: Surface or deep approaches to learning?
... on learning in higher education concludes that apart from obvious exceptions where rote-learning is needed (Biggs & Tang, 2007; Chan, 2004; Entwistle & Peterson, 2004), deep learning ...
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Hybrid Neural Network Architecture for On Line Learning
... the surface learning agent or the deep learn- ing agent, or as complex as synthesizing the outputs of the two learning agents into a high level of ...the surface learning agent ...
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The educational impact of assessment: a comparison of DOPS and MCQs
... The learning outcomes assessed may be as important to the approach adopted as the assessment format ...for learning but the impact is not necessarily a positive one for all students (Cilliers et ...to ...
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An investigation on the Vocational High School Students' Learning Approaches in Terms of Various Variables
... of Surface Approach and Surface ...of Surface Approach and Surface ...the deep learning approach and gender in favour of females and a significant relationship between the ...
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Learning Strategies in Foreign Language Departments at the University of Guilan in Iran
... different learning methods. In the surface learning, learners reduce the value of things that should be learned in the form of particular concepts and memorize them in the form of irrelevant ...in ...
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Teacher and Student-Focused Approaches: Influence of Learning Approach and Self-Efficacy in a Psychology Postgraduate Sample
... to learning (Trigwell, Prosser & Waterhouse, ...to learning are more likely to display surface learning whilst students experiencing the student-focused approach are more likely to develop ...
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Advanced Machine Learning Approach: Deep Learning
... of deep learning is that the two different things are not categorized by using structured / labeled ...of deep learning neural networks sends the input (image information) through entirely ...
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Research on Recognition Technology of Aluminum Profile Surface Defects Based on Deep Learning
... profile surface defects can greatly affect the performance, safety and reliability of ...on deep learning is ...profile surface defects ...profile surface defects ...
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Automated Detection of Gender from Face Images
... known as fine grained ethnicity. According to earlier results, the prediction of the fine-grained ethnicity of an individual is the most challenging task, followed by age and lastly gender. A. Dehghan et al. [7] ...
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Profiling our Students’ Learning Orchestrations to Evaluate the Biology Curriculum
... desirable learning orchestration - positive for both deep approach to study and cohesive conception of biology - since the university where this work was conducted has a relatively high university entry ...
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Surface and Deep Cases
... SURFACE AND DEEP CASES SURFACE A N D DEEP CASES JARMILA PANEVOVA Institute of Formal and Applied Linguistics Charles University Prague, Czechoslovakia HANA SKoUMALOVA Institute of Theoretical and Comp[.] ...
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Machine Learning and Deep Learning
... machine learning and deep learning are roots of ...machine learning if any kind of analysis is to be ...machine learning from the ...on Deep Learning. Deep ...
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Wind Turbine Maintenance Cost Reduction by Deep Learning Aided Drone Inspection Analysis
... of surface damages on wind turbine blades is imperative for minimising downtime and avoiding possible catastrophic structural ...machine learning algorithms can reduce the inspection cost, thereby reducing ...
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Human-level Moving Object Recognition from Traffic Video
... reinforcement learning takes form of external ...network learning efficiency, and falling to local optimal. Deep neural network is a multiple neural network learning model based on deep ...
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How Do Students Learn Theology?
... The pedagogical challenges within these theological institutions in Australia are equally important. They are not dissimilar to challenges found in the North American study undertaken by the Carnegie Foundation (Foster ...
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Smart Security and Monitoring System for Agriculture: Overview
... Transfer learning: Transfer learning is a machine learning technique where a model developed for a task is reused as the starting point for a model on a second ...in deep learning where ...
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Deep Machine Learning In Neural Networks
... These methods have high compression errors and low compression ratios. [10-12] The deep neural networks (DNNs) have the demand on quality analysis. DNNs consits millions of parameters in an unparalleled ...
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Deep Learning: A Vision for Computer
... Machine Learning is the type of AI and is directly associated to computational ...unsupervised learning. Machine learning can be unsupervised which is furthermore used to study and develop profiles ...
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Auto-Encoder based Deep Learning for Surface Electromyography Signal Processing
... a deep learning system that will be capable of providing essential features from the input signal without recourse to traditional feature extraction and reduction ...
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