scholarly journals Suggesting Software Measurement Plans with Unsupervised Learning Data Analysis

2019 ◽  
Author(s):  
Sarah Dahab ◽  
Stephane Maag
Keyword(s):  
Data Analysis ◽  
Unsupervised Learning ◽  
Software Measurement ◽  
Learning Data

Marketing customer response scoring model based on machine learning data analysis

2020 ◽  
pp. 1-11
Author(s):  
Tang Yan ◽  
Li Pengfei
Keyword(s):  
Machine Learning ◽  
Data Analysis ◽  
Data Extraction ◽  
Machine Learning Algorithms ◽  
Customer Relationship ◽  
Customer Data ◽  
Modeling And Analysis ◽  
Scoring Model ◽  
Model Based ◽  
Learning Data

In marketing, problems such as the increase in customer data, the increase in the difficulty of data extraction and access, the lack of reliability and accuracy of data analysis, the slow efficiency of data processing, and the inability to effectively transform massive amounts of data into valuable information have become increasingly prominent. In order to study the effect of customer response, based on machine learning algorithms, this paper constructs a marketing customer response scoring model based on machine learning data analysis. In the context of supplier customer relationship management, this article analyzes the supplier’s precision marketing status and existing problems and uses its own development and management characteristics to improve marketing strategies. Moreover, this article uses a combination of database and statistical modeling and analysis to try to establish a customer response scoring model suitable for supplier precision marketing. In addition, this article conducts research and analysis with examples. From the research results, it can be seen that the performance of the model constructed in this article is good.

Learning Data Analysis with Data Desk

1990 ◽  
Vol 74 (470) ◽  
pp. 407
Author(s):  
Derek Robinson ◽  
Paul F. Velleman
Keyword(s):  
Data Analysis ◽  
Learning Data

Interactive protocol for acquisition of migraine diaries with a mobile app and machine learning data analysis

2021 ◽  
Author(s):  
Tatiane Vieira Alves ◽  
Kamila Rios da Hora Rodrigues ◽  
Moacir Antonelli Ponti
Keyword(s):  
Machine Learning ◽  
Data Analysis ◽  
Mobile App ◽  
Learning Data

scholarly journals Implementasi Model IBMR Berbantu PhET Simulation untuk Meningkatkan Kemampuan Representasi pada Pembelajaran Fisika

2019 ◽  
Vol 10 (2) ◽  
pp. 96-100
Author(s):  
Joko Siswanto
Keyword(s):  
Information Technology ◽  
Data Analysis ◽  
Research Data ◽  
Physics Learning ◽  
Physics Courses ◽  
Information Technology Education ◽  
Post Test ◽  
Basic Physics ◽  
Learning Data ◽  
Paired T Test

This study aims to analyze the effectiveness of the IBMR learning model assisted by phet to improve the ability of representation in physics learning. The research design used quasi-experiment one group pre-test and post-test conducted on 20 students of Information Technology Education at Universitas PGRI Semarang who programmed basic physics courses. The research data was collected from pre-test and post-test the ability of representation supported by observations of the implementation of learning. Data analysis uses paired t-test and n-gain to calculate and determine the criteria of increase of the representation ability. The results showed that the implementation of the IBMR model assisted by phet simulation was effective in increasing the ability of representation of students with gain score <g> = 0,59 (moderate criteria).

scholarly journals Analisis Implementasi Pembelajaran Berbasis Teknologi Infromasi

PEDAGOGIKA ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 1-11
Author(s):  
Wahyuni Nadar
Keyword(s):  
Data Analysis ◽  
Learning Outcomes ◽  
Learning Process ◽  
Learning Support ◽  
Islamic School ◽  
Technological Tools ◽  
Qualitative Descriptive ◽  
Descriptive Approach ◽  
Media Learning ◽  
Learning Data

This research was conducted to describe the results of the analysis of the implementation of IT-based learning at the Bunga Bangsa Kindergarten Islamic School Bekasi. This analysis includes understanding the concept of IT-based learning implemented at the Bunga Bangsa Islamic School Kindergarten, knowing the obstacles in the implementation of IT-based learning at the Bunga Bangsa Kindergarten Islamic School Bekasi and describing the strategies carried out in implementing IT learning at the Bunga Bangsa Islamic School Kindergarten. This research was conducted for 3 months with a qualitative descriptive approach. Data collection is done by interviews, observation and analysis of documents in the form of curriculum documents, RPPH learning planning and assessment of children's learning outcomes and documentation of the use of IT tools used in learning. Data analysis begins by describing the findings of the study and then conducts an objective discussion with a theoretical approach. In this study, the learning process was described in the Bunga Bangsa Islamic School Kindergarten and the use of technological tools in various aspects of learning components such as media, learning resources and also as learning support. The learning process is more interesting and not monotonous, thus creating a fun and interactive atmosphere. The constraints found were that there was still a lack of teacher references to using IT tools in learning associated with activities in the theme and the lack of teachers' skills in using existing IT tools. Current efforts to overcome these obstacles are by providing various references in the form of videos, books and workshops on the use of IT in learning.

scholarly journals Skill acquisition is enhanced by reducing trial-to-trial repetition

2020 ◽  
Vol 123 (4) ◽  
pp. 1460-1471 ◽  
Author(s):  
Lore W. E. Vleugels ◽  
Stephan P. Swinnen ◽  
Robert M. Hardwick
Keyword(s):  
Data Analysis ◽  
Skill Acquisition ◽  
Skill Learning ◽  
Motor Skill Learning ◽  
Short Term ◽  
Beneficial Effects ◽  
Learning Tasks ◽  
Block Level ◽  
Term Performance ◽  
Learning Data

Developing approaches to improve motor skill learning is of considerable interest across multiple disciplines. Previous research has typically shown that repeating the same action on consecutive trials enhances short-term performance but has detrimental effects on longer term skill acquisition. However, most prior research has contrasted the effects of repetition only at the block level; in the current study we examined the effects of repeating individual trials embedded in a larger randomized block, a feature that is often overlooked when random trial orders are generated in learning tasks. With 4 days of practice, a “Minimal Repeats” group, who rarely experienced repeating stimuli on consecutive trials during training, improved to a greater extent than a “Frequent Repeats” group, who were frequently presented with repeating stimuli on consecutive trials during training. Our results extend the previous finding of the beneficial effects of random compared with blocked practice on performance, showing that reduced trial-to-trial repetition during training is favorable with regard to skill learning. This research highlights that limiting the number of repeats on consecutive trials is a simple behavioral manipulation that can enhance the process of skill learning. Data/analysis code and Supplemental Material are available at https://osf.io/p3278/ . NEW & NOTEWORTHY Numerous studies have shown that performing different subtasks across consecutive blocks of trials enhances learning. We examined whether the same effect would occur on a trial-to-trial level. Our Minimal Repeats group, who primarily responded to different stimuli on consecutive trials, learned more than our Frequent Repeats group, who frequently responded to the same stimulus on consecutive trials. This shows that minimizing trial-to-trial repetition is a simple and easily applicable manipulation that can enhance learning.

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