Apparatus for Selective Learning Research with Low-Cost Teaching Machine Potential

1964 ◽  
Vol 14 (1) ◽  
pp. 59-62 ◽  
Author(s):  
Roy Lachman
Keyword(s):  
Concept Formation ◽  
Teaching Machine ◽  
Low Cost ◽  
Verbal Learning ◽  
Learning Problems ◽  
Automatic Apparatus ◽  
Learning Tasks ◽  
Experimental Learning ◽  
Fully Automatic ◽  
Learning Research

A fully automatic apparatus is described for investigations of concept formation and a variety of verbal learning problems. The machine will administer a series of experimental learning tasks with automatic changes in stimuli and reinforcement between problems. A relatively inexpensive component of the apparatus functions as a highly versatile teaching machine.

scholarly journals Analisis Kesulitan Belajar pada Anak Berkebutuhan Khusus (ABK) Di SMA Negeri 10 Kota Ternate

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Dewi Mufidatul Ummah
Keyword(s):  
Special Needs ◽  
Learning Difficulties ◽  
Secondary Data ◽  
Intellectual Ability ◽  
Learning Problems ◽  
Students With Special Needs ◽  
Descriptive Research ◽  
Learning Tasks ◽  
Analysis Technique ◽  
Descriptive Approach

This study aims to determine the analysis of learning difficulties in children with special needs (ABK) in students of SMA Negeri 10 Ternate. This research is descriptive research using descriptive approach. The focus of this study is focused on learning problems in students with special needs (ABK) on Deaf and Tuna Grahita in students of SMAN 10 Kota Ternate. The types and sources of data in this study consist of primary and secondary data that are qualitative in nature. Data collection techniques consist of interviews, observations, and documentation. Data Analysis Technique used is data reduction (reduction), Presentation of data (display), Verification Data (verification). The technique of data validation in this research is Triangulation and Member check. The results showed that SRN subjects showed low learning outcomes, were slow in doing learning tasks, were unable to capture material explanations, never collected and completed tasks and were difficult to adapt to the learning process at school. The SC subject shows the result that the SC Subject has below average intellectual ability and lack of confidence, learning difficulties experienced by SC subjects on all subjects related to practice and theory. SC learning difficulties are caused by psychic limitations of slow response and slow learner in receiving lessons and still difficult to write and read.

scholarly journals Exponential Family Graph Embeddings

2020 ◽  
Vol 34 (04) ◽  
pp. 3357-3364
Author(s):  
Abdulkadir Celikkanat ◽  
Fragkiskos D. Malliaros
Keyword(s):  
Random Walk ◽  
Exponential Family ◽  
Representation Learning ◽  
Learning Problems ◽  
Interaction Patterns ◽  
Network Representation ◽  
Learning Tasks ◽  
Learning Techniques ◽  
Real World Datasets ◽  
Low Dimensional

Representing networks in a low dimensional latent space is a crucial task with many interesting applications in graph learning problems, such as link prediction and node classification. A widely applied network representation learning paradigm is based on the combination of random walks for sampling context nodes and the traditional Skip-Gram model to capture center-context node relationships. In this paper, we emphasize on exponential family distributions to capture rich interaction patterns between nodes in random walk sequences. We introduce the generic exponential family graph embedding model, that generalizes random walk-based network representation learning techniques to exponential family conditional distributions. We study three particular instances of this model, analyzing their properties and showing their relationship to existing unsupervised learning models. Our experimental evaluation on real-world datasets demonstrates that the proposed techniques outperform well-known baseline methods in two downstream machine learning tasks.

Speech Monitoring and Verbal Learning

1963 ◽  
Vol 6 (3) ◽  
pp. 249-254
Author(s):  
George R. Davis ◽  
Joseph G. Sheehan
Keyword(s):  
Auditory Feedback ◽  
Direct Relationship ◽  
Paired Associate ◽  
Verbal Learning ◽  
Feedback Condition ◽  
Delayed Auditory Feedback ◽  
Learning Tasks ◽  
Verbal Tasks ◽  
Speech Monitoring ◽  
Auditory Monitoring

The effects of interference with auditory feedback on two verbal learning tasks were studied. Twenty-seven adults without speech or hearing handicaps practiced two verbal tasks (reading comprehension and paired associate) under three auditory monitoring conditions. A synchronous auditory feedback condition provided amplified but almost simultaneous auditory feedback. To provide an irrelevant feedback condition, S’s heard their own previously recorded voices reading other material. Delayed auditory feedback provided a second experimental condition. Results confirmed that delayed auditory feedback interfered significantly with efficient verbal learning. A clear and direct relationship between the amount and relevance of verbal feedback and the efficiency of speech-based learning was demonstrated.

scholarly journals Evaluation of the Consonant Vowel Consonant (CVC) Test as an Assessment and Screening Instrument for Mild Cognitive Impairment

2015 ◽  
Vol 7 (4) ◽  
pp. 119 ◽  
Author(s):  
Esther Vierck ◽  
Richard J. Porter ◽  
Janet K. Spittlehouse ◽  
Peter R. Joyce
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Psychometric Properties ◽  
Word Learning ◽  
Verbal Memory ◽  
Verbal Learning ◽  
Learning Task ◽  
Screening Instrument ◽  
Learning Tasks ◽  
Ceiling Effects

<p>Objective: Traditional word learning tasks have been criticised for being affected by ceiling effects. The Consonant Vowel Consonant (CVC) test is a non-word verbal learning task designed to be more difficult and therefore have a lower risk of ceiling effects.</p><p>Method: The current study examines the psychometric properties of the CVC in 404 middle-aged persons and evaluates it as a screening instrument for mild cognitive impairment by comparing it to the Montreal Cognitive Assessment (MoCA). Differences between currently depressed and non-depressed participants were also examined.</p><p>Results: CVC characteristics are similar to traditional verbal memory tasks but with reduced likelihood of a ceiling effect. Using the standard cut-off on the MoCA as an indication of mild cognitive impairment, the CVC performed only moderately well in predicting this. Depressed participants scored significantly lower on the CVC compared with non-depressed individuals.</p><p>Conclusions: The CVC may be similar in psychometric properties to the traditional word learning tests but with a higher ceiling. Scores are lower in depression.</p>

A New Look at Adolescent Learning Problems

1979 ◽  
Vol 1 (1) ◽  
pp. 22-24
Author(s):  
Ardithearl Thompson
Keyword(s):  
Developmental Delays ◽  
School Curriculum ◽  
Drop Out ◽  
Learning Problems ◽  
Main Stream ◽  
Learning Tasks ◽  
Childhood Problems ◽  
Adolescent Learning ◽  
Out Of School ◽  
New Look

The dynamics and treatment of adolescent learning problems are different from those of childhood problems resulting from developmental delays or developmental imbalances. Even though the school curriculum is based on a logical continuum of learning tasks, some adolescents (although intelligent) are unable to successfully master the orderly sequence of skills and as a result become discouraged, rebellious, disruptive, or all three, and eventually drop out of school before graduation. This article explains how a theory of adolescent learning problems is used to successfully provide treatment for this type of student within the main stream.

Field Dependence and Differences between Visual and Verbal Learning Tasks

1973 ◽  
Vol 36 (3_suppl) ◽  
pp. 1327-1330 ◽  
Author(s):  
Stanley Berent ◽  
Albert J. Silverman
Keyword(s):  
Undergraduate Students ◽  
Paired Associate ◽  
Verbal Learning ◽  
Associate Learning ◽  
Field Dependency ◽  
Learning Tasks ◽  
Field Independent ◽  
Significant Difference ◽  
Field Dependent ◽  
Significant Impairment

50 female undergraduate students were administered 2 paired-associate learning tasks (verbal and visual) and assigned on the basis of their scores on the rod-and-frame test to extreme field-dependent and field-independent groups. No significant difference was found between the two groups on the visuo-perceptive paired-associate tests. Compared to the field-independent Ss, however, the field-dependent Ss showed significant impairment on the verbal task ( U = 18, p < .01). These findings are discussed in terms of possible dominant (left) cerebral hemisphere involvement in field dependency.

scholarly journals An Intelligent Characteristics Analyzer of PV Module

2013 ◽  
Vol 61 (1) ◽  
pp. 65-70 ◽  
Author(s):  
Liton Kumar Biswas ◽  
Md. Habibur Rahman ◽  
Saiful Haque
Keyword(s):  
Low Cost ◽  
Operating Point ◽  
C Language ◽  
Digital Counter ◽  
System A ◽  
Pv Module ◽  
Active Load ◽  
Pv Modules ◽  
Computer Based ◽  
Fully Automatic

This paper describes construction, development and testing of a low cost PV module characteristics analyzer. A computer-based, fully automatic characteristic analyzer has been designed and developed using locally available components. The system is capable of acquiring current and voltage of PV module by varying the operating point to draw the IV curve and to analyze the module characteristics. In this system, a Pico ADC-16 has been used to convert the analog data into digital. The module current and voltage is changed by using a transistor active load. The operating point of the active load has been changed by the analog output of a DAC and the DAC is driven by a digital counter. A driver program has been developed for the system using C language. Finally, the system was assembled and the characteristics of some PV modules of different power capacity have been studied. It is found that, the system is capable of finding characteristics of PV modules up to the capacity of 75Watt. Dhaka Univ. J. Sci. 61(1): 65-70, 2013 (January) DOI: http://dx.doi.org/10.3329/dujs.v61i1.15098

scholarly journals Topology Applied to Machine Learning: From Global to Local

2021 ◽  
Vol 4 ◽  
Author(s):  
Henry Adams ◽  
Michael Moy
Keyword(s):  
Machine Learning ◽  
Materials Science ◽  
Klein Bottle ◽  
Persistent Homology ◽  
Agent Based Modeling ◽  
Learning Problems ◽  
Local Geometry ◽  
Agent Based ◽  
Learning Tasks ◽  
Circle Model

Through the use of examples, we explain one way in which applied topology has evolved since the birth of persistent homology in the early 2000s. The first applications of topology to data emphasized the global shape of a dataset, such as the three-circle model for 3 × 3 pixel patches from natural images, or the configuration space of the cyclo-octane molecule, which is a sphere with a Klein bottle attached via two circles of singularity. In these studies of global shape, short persistent homology bars are disregarded as sampling noise. More recently, however, persistent homology has been used to address questions about the local geometry of data. For instance, how can local geometry be vectorized for use in machine learning problems? Persistent homology and its vectorization methods, including persistence landscapes and persistence images, provide popular techniques for incorporating both local geometry and global topology into machine learning. Our meta-hypothesis is that the short bars are as important as the long bars for many machine learning tasks. In defense of this claim, we survey applications of persistent homology to shape recognition, agent-based modeling, materials science, archaeology, and biology. Additionally, we survey work connecting persistent homology to geometric features of spaces, including curvature and fractal dimension, and various methods that have been used to incorporate persistent homology into machine learning.

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