Programmed learning techniques: a survey

1965 ◽  
Vol 7 (7) ◽  
pp. 309-311
Author(s):  
A.J. BEAUMONT
Keyword(s):  
Programmed Learning ◽  
Learning Techniques

Programmed Learning Techniques

1965 ◽  
Vol 7 (9) ◽  
pp. 393-402
Author(s):  
Mrs J.M.D. GEORGE ◽  
T. YATES
Keyword(s):  
Programmed Learning ◽  
Learning Techniques

scholarly journals Effectiveness of Programmed Learning Material in Learning Cognitive Domain of B.Ed Students

2016 ◽  
Vol 3 (3) ◽  
Author(s):  
Jignasa H. Joshi
Keyword(s):  
Cognitive Domain ◽  
Teaching Methodology ◽  
Learning Material ◽  
Learning Method ◽  
Teaching Techniques ◽  
Programmed Learning ◽  
Learning Techniques ◽  
Effective Media ◽  
Programmed Learning Material ◽  
Self Learning

The present teaching techniques needs revised thinking to make learning more effective for students. In fact the teaching methodology should be such by which the students can be involved in reading, thinking, problem solving and then learning by their own efforts. It becomes more important at B.Ed. Level. For this purpose self-learning method is a very effective media. There are several Self Learning Techniques in which learner can learn by their own pace. Inamdar, J.A (1981), Suthar, K.S (1981), Debi Meena Kumari (1989), concluded that Programmed learning method was more effective. Can the learning of cognitive domain be made easier by using Programmed Learning Material? Is the Programmed Learning Method similarly effective for boys and girls? The investigator has thought about all such crucial questions for undertaking this research. Hence the topic “Effectiveness of Programmed Learning Material in Learning Cognitive Domain of B.Ed Students” is selected for the presentation.

Effectiveness of Programmed Learning Material in Teaching Basic Elements of Accountancy Subject for Students of Standard XI in References to Scholastics Achievement

2016 ◽  
Vol 3 (3) ◽  
Author(s):  
Harshad B. Choksi ◽  
Ajay B. Raval
Keyword(s):  
Teaching Methodology ◽  
Learning Material ◽  
Learning Method ◽  
Programmed Learning ◽  
Learning Techniques ◽  
Effective Media ◽  
Learning Technique ◽  
Programmed Learning Material ◽  
Power Point ◽  
Self Learning

The present teaching techniques needs revised thinking to make learning more effective for students. In fact the teaching methodology should be such by which the students can be involved in reading, thinking, problem solving and then learning by their own efforts. For this purpose self-learning method is a very effective media. There are several Self Learning Techniques in which learner can learn by their own pace. Patel, Bhanubhai(1993) and Sakhiya,R.B.(2006) also did an experiment for self-learning technique. They both found self-learning technique effective. Present study was differing from these two studies because researcher made PLM with the help of computer programme MS Power point. Students of Std-11(Commerce) were selected for the purpose of research. Can the subject “Basic elements of accountancy” be made easier by using Programmed Learning Material? Is the Programmed Learning Method similarly effective for boys and girls? The investigator has thought about all such crucial questions for undertaking this research. Hence the topic “EFFECTIVENESS OF PROGRAMMED LEARNING MATERIAL INTEACHING BASIC ELEMENTS OF ACCOUNTANCY SUBJECT FOR STUDENTS OF STANDARD XI” is selected for the presentation.

The Use of Prescription Drugs and Drugs of Abuse for Neuroenhancement in Europe

2015 ◽  
Vol 20 (3) ◽  
pp. 155-166 ◽  
Author(s):  
Larissa J. Maier ◽  
Michael P. Schaub
Keyword(s):  
Prescription Drugs ◽  
Illicit Drugs ◽  
Adverse Reactions ◽  
Low Dose ◽  
Drugs Of Abuse ◽  
Mental Performance ◽  
Or Education ◽  
Learning Techniques ◽  
Monitoring The Future ◽  
Definition Of

Abstract. Pharmacological neuroenhancement, defined as the misuse of prescription drugs, illicit drugs, or alcohol for the purpose of enhancing cognition, mood, or prosocial behavior, is not widespread in Europe – nevertheless, it does occur. Thus far, no drug has been proven as safe and effective for cognitive enhancement in otherwise healthy individuals. European studies have investigated the misuse of prescription and illicit stimulants to increase cognitive performance as well as the use of tranquilizers, alcohol, and cannabis to cope with stress related to work or education. Young people in educational settings report pharmacological neuroenhancement more frequently than those in other settings. Although the regular use of drugs for neuroenhancement is not common in Europe, the irregular and low-dose usage of neuroenhancers might cause adverse reactions. Previous studies have revealed that obtaining adequate amounts of sleep and using successful learning techniques effectively improve mental performance, whereas pharmacological neuroenhancement is associated with ambiguous effects. Therefore, non-substance-related alternatives should be promoted to cope with stressful situations. This paper reviews the recent research on pharmacological neuroenhancement in Europe, develops a clear definition of the substances used, and formulates recommendations for practitioners regarding how to react to requests for neuroenhancement drug prescriptions. We conclude that monitoring the future development of pharmacological neuroenhancement in Europe is important to provide effective preventive measures when required. Furthermore, substance use to cope with stress related to work or education should be studied in depth because it is likely more prevalent and dangerous than direct neuroenhancement.

Using machine learning techniques to reduce data annotation time

2006 ◽  
Author(s):  
Christopher Schreiner ◽  
Kari Torkkola ◽  
Mike Gardner ◽  
Keshu Zhang
Keyword(s):  
Machine Learning ◽  
Machine Learning Techniques ◽  
Data Annotation ◽  
Learning Techniques

Using Machine Learning Algorithms on Prediction of Stock Price

2020 ◽  
Vol 12 (2) ◽  
pp. 84-99
Author(s):  
Li-Pang Chen
Keyword(s):  
Machine Learning ◽  
Stock Price ◽  
Short Term Memory ◽  
Machine Learning Algorithms ◽  
Machine Learning Techniques ◽  
Support Vector ◽  
Short Term ◽  
Learning Techniques ◽  
Historical Database ◽  
Long Short Term Memory

In this paper, we investigate analysis and prediction of the time-dependent data. We focus our attention on four different stocks are selected from Yahoo Finance historical database. To build up models and predict the future stock price, we consider three different machine learning techniques including Long Short-Term Memory (LSTM), Convolutional Neural Networks (CNN) and Support Vector Regression (SVR). By treating close price, open price, daily low, daily high, adjusted close price, and volume of trades as predictors in machine learning methods, it can be shown that the prediction accuracy is improved.

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