DATA MINING AND ACTION RESEARCH

2016 ◽  
pp. 67-78 ◽  
Author(s):  
Ellina Chernobilsky ◽  
Edith Ries ◽  
Joanne Jasmine
Keyword(s):  
Data Mining ◽  
Action Research

Computing and ICT Literacy

2005 ◽  
pp. 37-48
Author(s):  
Antonio Cartelli
Keyword(s):  
Data Mining ◽  
Action Research ◽  
Learning Process ◽  
Ict Literacy ◽  
Research Strategies ◽  
Data Mining Techniques ◽  
Web Technologies ◽  
Computing Skills ◽  
Teaching Learning ◽  
School Curricula

Three main questions guided the author in the writing of this chapter: Is there the need for a widespread and in-depth ICT literacy in mankind? What has to be meant for ICT literacy? And are there special problems in students’ learning of ICT topics? And last but not least: How can ICTs themselves improve teachers’ work and students’ learning on ICTs? The introduction answers the first question and shows how difficult the search can be for solutions to the problem of the digital divide. The answer to the second question comes from a short survey of the experiences that some institutions made for the introduction of basic computing skills and ICT literacy in school curricula. In the meantime the problems that the students usually meet while attending computer programming and ICT literacy courses are described. Finally the author reports the results of some experiences involving the use of ICTs in teaching and describes how he arrived to hypothesize the adoption of action research strategies, of Web technologies and data mining techniques for the monitoring of the teaching-learning process and its improvement.

Computing and ICT Literacy

2008 ◽  
pp. 3338-3347
Author(s):  
Antonio Cartelli
Keyword(s):  
Data Mining ◽  
Action Research ◽  
Learning Process ◽  
Ict Literacy ◽  
Research Strategies ◽  
Data Mining Techniques ◽  
Web Technologies ◽  
Computing Skills ◽  
Teaching Learning ◽  
School Curricula

Three main questions guided the author in the writing of this chapter: Is there the need for a widespread and in-depth ICT literacy in mankind? What has to be meant for ICT literacy? And are there special problems in students’ learning of ICT topics? And last but not least: How can ICTs themselves improve teachers’ work and students’ learning on ICTs? The introduction answers the first question and shows how difficult the search can be for solutions to the problem of the digital divide. The answer to the second question comes from a short survey of the experiences that some institutions made for the introduction of basic computing skills and ICT literacy in school curricula. In the meantime the problems that the students usually meet while attending computer programming and ICT literacy courses are described. Finally the author reports the results of some experiences involving the use of ICTs in teaching and describes how he arrived to hypothesize the adoption of action research strategies, of Web technologies and data mining techniques for the monitoring of the teaching-learning process and its improvement.

Data Mining and Machine Learning

2020 ◽  
Author(s):  
Mohammed J. Zaki ◽  
Wagner Meira, Jr
Keyword(s):  
Machine Learning ◽  
Data Mining

Heart Rate Variability, Emotions, and Music

2010 ◽  
Vol 24 (2) ◽  
pp. 112-119 ◽  
Author(s):  
F. Riganello ◽  
A. Candelieri ◽  
M. Quintieri ◽  
G. Dolce
Keyword(s):  
Data Mining ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Vegetative State ◽  
Low Frequency ◽  
Emotional Reactions ◽  
Heart Beat ◽  
Healthy Controls ◽  
Frequency Spectra ◽  
Emotional Value

The purpose of the study was to identify significant changes in heart rate variability (an emerging descriptor of emotional conditions; HRV) concomitant to complex auditory stimuli with emotional value (music). In healthy controls, traumatic brain injured (TBI) patients, and subjects in the vegetative state (VS) the heart beat was continuously recorded while the subjects were passively listening to each of four music samples of different authorship. The heart rate (parametric and nonparametric) frequency spectra were computed and the spectra descriptors were processed by data-mining procedures. Data-mining sorted the nu_lf (normalized parameter unit of the spectrum low frequency range) as the significant descriptor by which the healthy controls, TBI patients, and VS subjects’ HRV responses to music could be clustered in classes matching those defined by the controls and TBI patients’ subjective reports. These findings promote the potential for HRV to reflect complex emotional stimuli and suggest that residual emotional reactions continue to occur in VS. HRV descriptors and data-mining appear applicable in brain function research in the absence of consciousness.

Practicing Pragmatic Action Research for Social Change and Knowledge Generation

2001 ◽  
Vol 46 (1) ◽  
pp. 37-39
Author(s):  
Allan Feldman
Keyword(s):  
Social Change ◽  
Action Research ◽  
Knowledge Generation

Post, Mine, and Be Disturbed: Social Media Data Mining

PsycCRITIQUES ◽  
2016 ◽  
Vol 61 (51) ◽  
Author(s):  
Daniel Keyes
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Social Media Data ◽  
Media Data
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