Developing Knowledge-Based Systems Using Data Mining Techniques for Advising Secondary School Students in Field of Interest Selection

2018 ◽  
pp. 171-183
Author(s):  
Sofonias Yitagesu ◽  
Zhiyong Feng ◽  
Million Meshesha ◽  
Getachew Mekuria ◽  
Muhammad Qasim Yasin
Keyword(s):  
Data Mining ◽  
Secondary School ◽  
Secondary School Students ◽  
Knowledge Based Systems ◽  
School Students ◽  
Data Mining Techniques ◽  
Knowledge Based ◽  
Using Data ◽  
Developing Knowledge

Sexual exploitation of adolescent students in Tanzania: Implication for social services

2018 ◽  
Vol 62 (3) ◽  
pp. 1104-1116 ◽  
Author(s):  
Budeba Petro Mlyakado ◽  
Jessica Chi-Mei Li
Keyword(s):  
Secondary School ◽  
Social Services ◽  
Rural Areas ◽  
Secondary School Students ◽  
Sexual Exploitation ◽  
Limited Information ◽  
School Students ◽  
Adolescent Students ◽  
Using Data ◽  
Collaborative Efforts

A considerable empirical research has been conducted on sexual exploitation of children and adolescents; however, limited information is available in developing countries. This study describes and discusses the prevalence, nature and characteristics of sexual exploitation of adolescents using data collected from 1116 secondary school students in Tanzania. Results indicate that 21 percent of the surveyed adolescent students had had at least one experience of sexual exploitation. Being a female, living in rural areas and being aged above 15 years were associated with high risk of sexual exploitation. This study underscores gender- and locality-specific social work interventional requirements, with emphasis on interdisciplinary collaborative efforts.

scholarly journals Measuring Environmental Sensitivity in Educational Contexts: A Validation Study With German-Speaking Students

2018 ◽  
Vol 8 (2) ◽  
pp. 17 ◽  
Author(s):  
Teresa Tillmann ◽  
Katharina El Matany ◽  
Heather Duttweiler
Keyword(s):  
Secondary School ◽  
Secondary School Students ◽  
Field Studies ◽  
Environmental Sensitivity ◽  
School Students ◽  
Academic Track ◽  
Individual Difference Variable ◽  
Highly Sensitive ◽  
German Speaking ◽  
Using Data

Sensory-Processing Sensitivity (SPS), as part of the general theory on Environmental Sensitivity (Pluess, 2015), is a temperamental individual difference variable, referring to sensitive perception and processing of as well as reflection upon environmental stimuli. For its measurement, Aron and Aron (1997) developed the Highly Sensitive Person Scale (HSP Scale) for application with adults. However, despite some adaption into German (Konrad & Herzberg, 2017) and a first English version for children (Pluess et al., 2018), no suitable measures of SPS for children exist in German. The presented two studies aimed at developing and validating a short, 10-item German version of the scale, which can be administered efficiently in educational field studies with German-speaking secondary school students. The factorial structure, its relationship with other personality traits (i.e., the Big Five; McCrae & Costa, 1990) and exploratory analyses on relationships with additional school-related variables were revealed using data from two independent student samples (N = 301 German academic-track secondary school students and N = 460 German vocational track secondary school students). Relations to existing research, practical implications for the educational context, and limitations of the studies are discussed.

Assessing Motivation of Secondary School Students: An Analysis of Promotion and Prevention Orientations as Measured by the Regulatory Focus Questionnaire

2016 ◽  
Vol 35 (7) ◽  
pp. 670-682 ◽  
Author(s):  
Flaviu A. Hodis ◽  
Georgeta M. Hodis
Keyword(s):  
Secondary School ◽  
Regulatory Focus ◽  
Secondary School Students ◽  
Factor Analyses ◽  
School Students ◽  
Confirmatory Factor Analyses ◽  
Questionnaire Measure ◽  
Confirmatory Factor ◽  
Zealand Secondary School ◽  
Using Data

Measuring human motivation requires understanding the outcomes individuals value and the strategies they prefer to employ to attain them. Knowledge of promotion and prevention, two pivotal motivation orientations, provide key information regarding these aspects. The Regulatory Focus Questionnaire, which measures these two independent constructs, was validated using data provided by university students and alumni of an elite U.S. university. Thus, little is known whether this instrument provides reliable and valid measures of promotion and prevention in a population of younger respondents from a different culture. To bridge this gap, the study employed data collected from three independent large samples of New Zealand secondary school students and used the jigsaw piecewise technique in combination with confirmatory factor analyses. Findings show that, in this population, items in the Regulatory Focus Questionnaire measure promotion and prevention as theoretically distinct constructs.

The Problem of Multidimensionality in Course Scores and Course Choices in the Production of a Single Year 12 Tertiary Entrance Score

1993 ◽  
Vol 37 (1) ◽  
pp. 26-45 ◽  
Author(s):  
Ray W. Cooksey
Keyword(s):  
Secondary School ◽  
Secondary School Students ◽  
Dimensional Space ◽  
Demographic Characteristics ◽  
Second Phase ◽  
School Students ◽  
Scaling Method ◽  
Four Dimensions ◽  
College System ◽  
Using Data

The present study considers the problem of multidimensionality in Tertiary Entrance (TE) scores where a single TE score is the desired goal. Using data from the 1988 cohort of the ACT college system, course scores as assessed by teachers were shown to distinguish performance in a four-dimensional space. TE scores, computed using both a modified multiple regression strategy and the Daley's (1989) Other Course Score scaling method, were shown to be related to, at best, two of the four dimensions. A second phase of the study revealed the presence of multidimensionality in the choices of courses that students made when assembling their college curricula. These dimensions of course choice were subsequently related back to the demographic characteristics of the students and to the two types of TE scores. Conclusions were drawn regarding the dubious validity of assuming that a single TE score carries all the information needed to summarise the performance of secondary school students.

scholarly journals Developing a Prototype Knowledge-Based System for Diagnosis and Treatment of Diabetes Using Data Mining Techniques

2020 ◽  
Vol 30 (1) ◽  
Author(s):  
Kedir Eyasu ◽  
Worku Jimma ◽  
Takele Tadesse
Keyword(s):  
Data Mining ◽  
Expert Knowledge ◽  
Diagnosis And Treatment ◽  
Data Mining Techniques ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
The Status ◽  
Treatment Of Diabetes ◽  
Using Data ◽  
Accuracy Of Results

BACKGROUND: Diabetes is a disease that affects the body’s ability to produce or use insulin. A total of 425 million people are suffering from diabetes in the world. Of this, more than 16 million people live in the Africa Region, which is estimated to be around 41 million by 2045. The main objective of this study was to design and develop a prototype knowledge-based system using data mining techniques for diagnosis and treatment of diabetes.METHODS: For this study, experimental research design was employed, and the researchers used domain expert knowledge as a supplement of data mining techniques whereby three classification algorithms in WEKA; namely J48, PART and JRip were used, and finally the researchers decided to use the results of J48 classification algorithm. Ultimate Visual basic studio 2013 (Vb.net) was used to store knowledge and as front side of prototype. Common lisp prolog (Clisp) was used for obtained knowledge back end coding.RESULTS: Using a decision tree algorithm; namely J48, 2512 (95.1515%) of the instances were classified correctly, and 128 (4.8485 %) were classified incorrectly. The second most performing model was generated by JRip Classier. This model scored the 94.7348% accuracy on the general data to classify the status of diabetic patient datasets. It classified the 2501 instances of the records correctly.CONCLUSION: The J48 model was the best performing model with the best accuracy of results. 

scholarly journals An Investigation of the English Vocabulary Knowledge of Lower Secondary Students: A Case Study of a Malaysian School

2021 ◽  
Vol 3 (2) ◽  
pp. 131-138
Author(s):  
Noor Syahira Noor Mayadi ◽  
Hamidah Yamat
Keyword(s):  
Secondary School ◽  
Secondary Students ◽  
Secondary School Students ◽  
Vocabulary Knowledge ◽  
School Students ◽  
Knowledge Based ◽  
Preliminary Study ◽  
Visual Materials ◽  
Base Data

This preliminary study aimed to investigate the vocabulary level of lower secondary students in Kedah, specifically in a school located at a sub-urban area. The purpose was to gather the base data for a study on the effectiveness of using audio-visual materials in enhancing students’ vocabulary.  In this preliminary study, quantitative approach was employed to identify the vocabulary level of the secondary school students.  The samples consisted of 30 Form 1 students from a sub-urban school in Kepala Batas, Kedah, Malaysia. A vocabulary checklist was used to identify their knowledge of vocabulary and a vocabulary test was used to identify their vocabulary levels. The finding of this study shows that the students are at intermediate level on vocabulary knowledge. Based on this finding, the researcher will be able to conduct a suitable activity according to the students’ vocabulary knowledge for the study on the effectiveness of using audio-visual materials in enhancing students’ vocabulary.

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