scholarly journals An Intelligent and Data-Driven Mobile Platform for Youth Volunteer Management using Machine Learning and Predictive Analytics

2020 ◽  
Author(s):  
Alyssa Huang ◽  
Yu Sun
Keyword(s):  
Machine Learning ◽  
High School ◽  
High School Students ◽  
Predictive Analytics ◽  
Learning Algorithms ◽  
Real Life ◽  
Machine Learning Algorithms ◽  
Data Driven ◽  
School Students ◽  
Best Fit

Volunteering is very important to high school students because it not only allows the teens to apply the knowledge and skills they have acquired to real-life scenarios, but it also enables them to make an association between helping others and their own joy of fulfillment. Choosing the right volunteering opportunities to work on can influence how the teens interact with that cause and how well they can serve the community through their volunteering services. However, high school students who look for volunteer opportunities often do not have enough information about the opportunities around them, so they tend to take whatever opportunity that comes across. On the other hand, as organizations who look for volunteers usually lack effective ways to evaluate and select the volunteers that best fit the jobs, they will just take volunteers on a first-come, firstserve basis. Therefore, there is a need to build a platform that serves as a bridge to connect the volunteers and the organizations that offer volunteer opportunities. In this paper, we focus on creating an intelligent platform that can effectively evaluate volunteer performance and predict best-fit volunteer opportunities by using machine learning algorithms to study 1) the correlation between volunteer profiles (e.g. demographics, preferred jobs, talents, previous volunteering events, etc.) and predictive volunteer performance in specific events and 2) the correlation between volunteer profiles and future volunteer opportunities. Two highest-scoring machine learning algorithms are proposed to make predictions on volunteer performance and event recommendations. We demonstrate that the two highest-scoring algorithms are able to make the best prediction for each query. Alongside the practice with the algorithms, a mobile application, which can run on both iPhone and Android platforms is also created to provide a very convenient and effective way for the volunteers and event supervisors to plan and manage their volunteer activities. As a result of this research, volunteers and organizations that look for volunteers can both benefit from this data-driven platform for a more positive overall experience.

scholarly journals Stock Market Prediction using Machine Learning

2021 ◽  
Vol 9 (VI) ◽  
pp. 3628-3632
Author(s):  
Prof. Gowrishankar B S
Keyword(s):  
Machine Learning ◽  
Stock Market ◽  
Stock Price ◽  
Predictive Analytics ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Stock Market Prediction ◽  
The Future ◽  
Complicated Model

Stock market is one of the most complicated and sophisticated ways to do business. Small ownerships, brokerage corporations, banking sectors, all depend on this very body to make revenue and divide risks; a very complicated model. However, this paper proposes to use machine learning algorithms to predict the future stock price for exchange by using pre-existing algorithms to help make this unpredictable format of business a little more predictable. The use of machine learning which makes predictions based on the values of current stock market indices by training on their previous values. Machine learning itself employs different models to make prediction easier and authentic. The data has to be cleansed before it can be used for predictions. This paper focuses on categorizing various methods used for predictive analytics in different domains to date, their shortcomings.

scholarly journals Junior high school mathematics teachers’ knowledge in calculators

2020 ◽  
Vol 5 (1) ◽  
pp. 80-93
Author(s):  
Isaac Bengre Taley ◽  
Matilda Sarpong Adusei
Keyword(s):  
High School ◽  
High School Students ◽  
Mathematics Teachers ◽  
Junior High School ◽  
Junior High ◽  
Real Life ◽  
School Mathematics ◽  
High School Mathematics ◽  
School Students ◽  
High School Mathematics Teachers

Helping junior high school students to use calculators and computers for problem solving and investigating real-life situations is an objective of the junior high school mathematics curriculum in Ghana. Ironically, there is a technological drought in junior high school mathematics instruction in Ghana, with a suspicion that mathematics teachers’ competency in the use of calculators for teaching may be the source of this lack of use. This study sought to establish a correlation between junior high school mathematics teachers’ competence and the motivation supporting the use of calculators in teaching.  A descriptive survey comprising of a test and questionnaire was used to collect data from junior high school mathematics teachers in an educational district in Ghana. Teacher characteristics such as educational attainment, age, and gender in relation to teachers’ competency in the use of calculators were discussed in the study. The results showed that about 70% of the teachers exhibited a low level of calculator competence. Besides, novice teachers outperformed expert teachers in the calculator competency-based test. Additionally, mathematics teachers’ enthusiasm for using calculators in teaching was directly associated with the teachers’ level of competency. The findings may send a signal to stakeholders in their efforts to revising the Ghana JHS curriculum in order to actualize the curriculum desire for the integration of technology in the teaching and learning of JHS mathematics.

scholarly journals Lessons Learned from Teaching Machine Learning and Natural Language Processing to High School Students

2020 ◽  
Vol 34 (09) ◽  
pp. 13397-13403
Author(s):  
Narges Norouzi ◽  
Snigdha Chaturvedi ◽  
Matthew Rutledge
Keyword(s):  
Machine Learning ◽  
High School ◽  
High School Students ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Teaching Machine ◽  
Lessons Learned ◽  
School Students ◽  
Gender Discrepancies

This paper describes an experience in teaching Machine Learning (ML) and Natural Language Processing (NLP) to a group of high school students over an intense one-month period. In this work, we provide an outline of an AI course curriculum we designed for high school students and then evaluate its effectiveness by analyzing student's feedback and student outcomes. After closely observing students, evaluating their responses to our surveys, and analyzing their contribution to the course project, we identified some possible impediments in teaching AI to high school students and propose some measures to avoid them. These measures include employing a combination of objectivist and constructivist pedagogies, reviewing/introducing basic programming concepts at the beginning of the course, and addressing gender discrepancies throughout the course.

Graphing Calculators Aren't Just for High School Students

1994 ◽  
Vol 1 (3) ◽  
pp. 190-196
Author(s):  
Linda J. C. Taylor ◽  
Jeri A. Nichols
Keyword(s):  
High School ◽  
Middle School ◽  
High School Students ◽  
Mathematics Curriculum ◽  
Real Life ◽  
Graphing Calculators ◽  
School Curriculum ◽  
School Students ◽  
Learning And Teaching ◽  
And Function

Graphing calculators are revolutionizing the learning and teaching of mathematics. Students can view and manipulate graphs of functions in a matter of seconds. Such features as “plot,” “graph,” “trace,” and “zoom” offer opportunities for users to develop an understanding of the terms variable and function. According to the Curriculum and Evaluation Standards for School Mathematics (NCTM 1989), these concepts are vital aspects of the middle school curriculum. According to the standards document, “[A]n ideal 5-8 mathematics curriculum would expand students' knowledge of numbers,… patterns and functions, and the fundamental concepts of algebra” (pp. 65-66). In addition, “[T]echnology, including calculators, computers, and videos, should be used when appropriate” (p. 67). It stand to reason that tools to aid in understanding such concepts as variable and function, specifically graphing calculators, should not be reserved for high school juniors and seniors. This article discusses the use of graphing calculators by students of middle school age in an enrichment program for academically able, but economically disadvantaged, students. The exercises described helped students develop an understanding about variable and function. Students were actively engaged in problem solving that involved hands-on, real-life activities.

scholarly journals High School Intervention for Influenza Biology and Epidemics/Pandemics: Impact on Conceptual Understanding among Adolescents

2009 ◽  
Vol 8 (1) ◽  
pp. 62-71 ◽  
Author(s):  
Nancy Dumais ◽  
Abdelkrim Hasni
Keyword(s):  
High School ◽  
High School Students ◽  
Conceptual Understanding ◽  
Scientific Knowledge ◽  
Real Life ◽  
Life Cycles ◽  
School Intervention ◽  
School Students ◽  
Knowledge Based ◽  
Life Issues

Understanding real-life issues such as influenza epidemiology may be of particular interest to the development of scientific knowledge and initiation of conceptual changes about viruses and their life cycles for high school students. The goal of this research project was to foster the development of adolescents' conceptual understanding of viruses and influenza biology. Thus, the project included two components: 1) pre- and posttests to determine students' conceptions about influenza biology, epidemics/pandemics, and vaccination; and 2) design an intervention that supports conceptual change to promote improvements in influenza knowledge based on these primary conceptions. Thirty-five female students from a high school biology class participated in a series of instructional activities and pre- and posttest assessments. Results from the pretest indicated that high school students exhibit a limited understanding of concepts related to viruses. Six weeks after an intervention that promoted active learning, results from a posttest showed that conceptions about influenza are more accurately related to the provided scientific knowledge. Although adolescents have nonscientific models to explain influenza biology, we showed that a carefully designed intervention can affect students' knowledge as well as influence the implementation of health education programs in secondary schools.

scholarly journals PROBLEM-BASED GROUP DISCUSSION: AN EFFECTIVE ELT TECHNIQUE TO IMPROVE VOCATIONAL HIGH SCHOOL STUDENTS’ TRANSACTIONAL SPEAKING SKILLS

2020 ◽  
Vol 8 (2) ◽  
pp. 247-258
Author(s):  
Kaharuddin Kaharuddin ◽  
Ananda Rahmadana
Keyword(s):  
High School ◽  
High School Students ◽  
Group Discussion ◽  
Real Life ◽  
Test Group ◽  
Control Group ◽  
Vocational High School ◽  
School Students ◽  
Control Group Design ◽  
Speaking Skills

In this millennial era, English speaking skills are very necessary for young learners, especially for Vocational High Schools students. However, few teachers still have difficulties in choosing the right technique to teach the speaking skills. Consequently, students feel that speaking is the hardest skill in English. This paper is aimed at discussing how to improve the students’ transactional speaking skills (group discussion) using problem-based group discussion technique at Vocational High School 5 Gowa. A quantitative research design was used to carry out this study with support from the data collection instrument i.e. speaking video test (group discussion). The design of this study conducted using a quasi-experimental with nonequivalent control group design. Twenty (20) students in two classes i.e. ten students for the experimental class and ten students for the controlled class of the intermediate level were purposively selected to participate in this study. The results of this study showed that the problem-based group discussion technique is able to improve students’ transactional speaking skills. It was proved by the result of the statistical analysis of the level significance P = 0.05 with the degree of freedom (df) = 9 indicated that the t-test values of the students’ transactional speaking skills (3.498) was higher than the t-table value (2.262). The outcome of this research indicates that this technique is effectively able to improve the students’ transactional speaking skills in exchanging information, taking a part in formal discussions and even learning to work in real-life situations

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