Data Mining for Statistical Evaluation of Summative and Competency-Based Assessments in Mathematics

Advances in Intelligent Systems and Computing - International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019) ◽

10.1007/978-3-030-20005-3_21 ◽

2019 ◽

pp. 207-216 ◽

Cited By ~ 2

Author(s):

Snezhana Gocheva-Ilieva ◽

Marta Teofilova ◽

Anton Iliev ◽

Hristina Kulina ◽

Desislava Voynikova ◽

...

Keyword(s):

Data Mining ◽

Statistical Evaluation ◽

Competency Based

Download Full-text

Application of intellectual data analysis methods for digital educational platform

System Analysis in Science and Education ◽

10.37005/2071-9612-2020-2-1-5 ◽

2020 ◽

pp. 1-5

Author(s):

Kristina Zhatkina ◽

Oksana Kreider

Keyword(s):

Neural Network ◽

Data Mining ◽

Data Analysis ◽

Educational Services ◽

Data Mining Techniques ◽

Analysis Methods ◽

The Neural Network ◽

Competency Based ◽

Using Data ◽

Data Analysis Methods

This article describes the possibility of using data mining techniques. In order to join new carpet participants, it is necessary to understand that the system of interaction with them is public educational services. To implement digital educational platforms, it is proposed to create an agent that collects information about sites, and also selects and tests the architecture of the neural network to build an individual trajectory that is trained using the competency-based model.

Download Full-text

Statistical evaluation of medical journal manuscripts

JAMA ◽

10.1001/jama.195.13.1123 ◽

1966 ◽

Vol 195 (13) ◽

pp. 1123-1128 ◽

Cited By ~ 16

Author(s):

S. Schor

Keyword(s):

Medical Journal ◽

Statistical Evaluation

Download Full-text

Curricular and instructional implications of competency-based dental education

Journal of Dental Education ◽

10.1002/j.0022-0337.1998.62.2.tb03185.x ◽

1998 ◽

Vol 62 (2) ◽

pp. 183-196 ◽

Cited By ~ 17

Author(s):

WD Hendricson ◽

JH Kleffner

Keyword(s):

Dental Education ◽

Competency Based

Download Full-text

Training Aides to Screen Children for Speech and Language Problems

Language Speech and Hearing Services in Schools ◽

10.1044/0161-1461.0704.236 ◽

1976 ◽

Vol 7 (4) ◽

pp. 236-241 ◽

Cited By ~ 5

Author(s):

Marisue Pickering ◽

William R. Dopheide

Keyword(s):

Rural Areas ◽

Large Scale ◽

School Personnel ◽

School Age Children ◽

Speech And Language ◽

Elementary School Age ◽

Evaluation Procedures ◽

Language Problems ◽

Competency Based ◽

Large Scale Screening

This report deals with an effort to begin the process of effectively identifying children in rural areas with speech and language problems using existing school personnel. A two-day competency-based workshop for the purpose of training aides to conduct a large-scale screening of speech and language problems in elementary-school-age children is described. Training strategies, implementation, and evaluation procedures are discussed.

Download Full-text

Giving Up the Grade Chase for a Competency-Based Education

NSSLHA Journal ◽

10.1044/nsshla_23_69 ◽

1996 ◽

Vol 23 ◽

pp. 69-77

Author(s):

Donald E. Mowrer

Keyword(s):

Competency Based Education ◽

Competency Based

Download Full-text

Data Mining and Machine Learning

10.1017/9781108564175 ◽

2020 ◽

Cited By ~ 2

Author(s):

Mohammed J. Zaki ◽

Wagner Meira, Jr

Keyword(s):

Machine Learning ◽

Data Mining

Download Full-text

The economics of selection of mail orders Drs. Zahavi and Levin are the masterminds behind the development of AMOS, a customized predictive modeling system for the Franklin Mint in Philadelphia, and GainSmarts, a general purpose data mining system that is the two-time winner of the KDD-CUP competition for the best data mining tools (1997 and 1998) sponsored by the American Association for Artificial Intelligence.

Journal of Interactive Marketing ◽

10.1002/dir.1016.abs ◽

2001 ◽

Vol 15 (3) ◽

pp. 53

Author(s):

Nissan Levin ◽

Jacob Zahavi

Keyword(s):

Artificial Intelligence ◽

Data Mining ◽

Predictive Modeling ◽

American Association ◽

General Purpose ◽

Mining System ◽

Data Mining System ◽

Mining Tools ◽

Selection Of

Download Full-text

Heart Rate Variability, Emotions, and Music

Journal of Psychophysiology ◽

10.1027/0269-8803/a000021 ◽

2010 ◽

Vol 24 (2) ◽

pp. 112-119 ◽

Cited By ~ 9

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.

Download Full-text