A Summer Math and Physics Program for High School Students: Student Performance and Lessons Learned in the Second Year

2013 ◽  
Vol 51 (5) ◽  
pp. 280-284 ◽  
Author(s):  
Nicholas Timme ◽  
Michael Baird ◽  
Jake Bennett ◽  
Jason Fry ◽  
Lance Garrison ◽  
...  
Keyword(s):  
High School ◽  
High School Students ◽  
Student Performance ◽  
Lessons Learned ◽  
School Students ◽  
Physics Program ◽  
Second Year

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.

Does the SAT Help Colleges Make Better Selection Decisions?

1985 ◽  
Vol 55 (2) ◽  
pp. 195-220 ◽  
Author(s):  
James Crouse
Keyword(s):  
High School ◽  
High School Students ◽  
Student Performance ◽  
Entrance Examination ◽  
Educational Testing ◽  
College Entrance Examination ◽  
School Students ◽  
Grade Point ◽  
Testing Service ◽  
Educational Testing Service

The College Entrance Examination Board and the Educational Testing Service claim that the Scholastic Aptitude Test (SAT) improves colleges' predictions of their applicants' success. James Crouse uses data from the National Longitudinal Study of high school students to calculate the actual improvement in freshman grade point averages, college completion,and total years of schooling resulting from colleges' use of the SAT. He then compares those predictions with predictions based on applicants' high school rank. Crouse argues that the College Board and the Educational Testing Service have yet to demonstrate that the high costs of the SAT are justified by its limited ability to predict student performance.

scholarly journals Una mirada a los efectos de la pandemia global Covid19: Realidades y desafíos actuales en el Bachillerato y la Educación Superior

2020 ◽  
pp. 30-35
Author(s):  
Pedro Alfonso Guadal Ortiz-Sánchez ◽  
Patricia Gpe. Sánchez-Iturbe ◽  
Pedro T. Ortiz-Y Ojeda ◽  
Limberth Agael Peraza-Pérez
Keyword(s):  
High School ◽  
High School Students ◽  
Rural Communities ◽  
Student Performance ◽  
Online Survey ◽  
School Students ◽  
Internet Service ◽  
Bachelor Degree ◽  
Virtual Classes ◽  
Learning Factors

The COVID-19 health emergency has brought a new and unforeseen situation in education in Mexico and around the world. This report shows the results of an online survey applied to high school (CETYS abbreviated in Spanish) and bachelor degree (TecNM abbreviated in Spanish) students at the Mérida and Tuxtla Gutiérrez campus. Out of 846 students, 501 answered the survey. Most of them live in municipal seat, some of them in rural communities 28.5 are high school students and 71.5% are bachelor degree students. 48.1% of students responded that they would not like to continue receiving classes online and 44.1% that in this modality their learning was the same as face -to- face lessons. They face organizational, technological, pedagogical and, to a lesser extent, information issues. They mainly use the WhatsApp application as well, as Microsoft Teams for synchronous work and virtual interviews, they consider it suitable for their virtual sessions. The responses to the coverage of the educational program were similar, the fifth part reached between 90 and 100%; The students showed irregularities during the setting of this educational modality and the main problem was the failure of the Internet connection, and the least was the lack of sensitivity of the teacher. Objectives: Need to obtain information on the opinion of students regarding their academic development during the school period that occurred during the Covid-19 pandemic, that would allow knowing the problems they are facing and proposing alternatives to support students Methodology:A survey was applied to undergraduate and high school students to find out their opinion regarding their problems in school development, the data were analyzed using predetermined scales and the SPSS program to determine the possible correlation between the mentioned variables. Contribution: Problems related to student performance were verified, most have their own computer and have internet service, they still do not adapt to taking virtual classes and express disapproval to continue with this form of learning, factors to be taken into consideration in the immediate future.

scholarly journals Teaching High School Students Design Process and 3-D Printing: Lessons Learned

2020 ◽  
Author(s):  
Ahmed Megri ◽  
Sameer Hamoush ◽  
Rachid Belmasrour ◽  
Gwen Lee-Thomas
Keyword(s):  
High School ◽  
High School Students ◽  
Design Process ◽  
Lessons Learned ◽  
School Students

ALAS: An Intervention to Promote Career Development Among Latina/o Immigrant High School Students

2019 ◽  
Vol 46 (6) ◽  
pp. 608-622 ◽  
Author(s):  
Ellen Hawley McWhirter ◽  
Bryan O. Rojas-Araúz ◽  
Robert Ortega ◽  
Darien Combs ◽  
Christina Cendejas ◽  
...  
Keyword(s):  
High School ◽  
High School Students ◽  
Academic Success ◽  
Career Development ◽  
School Engagement ◽  
Critical Consciousness ◽  
School Connectedness ◽  
Immigrant Students ◽  
Lessons Learned ◽  
School Students

This article describes the rationale, development, delivery, and evaluation strategy of a pilot career intervention program for immigrant Latina/o high school students: Advocating for Latina/o Achievement in School. This innovative intervention aims to prevent dropout and to promote academic success and college and career readiness through a combination of academic support and enhancing critical consciousness. Shorter term goals include increasing school-related self-efficacy expectations, school connectedness, school engagement, and critical consciousness. We describe the theoretical and empirical basis for the intervention components, and how they attend to dimensions of immigrant Latina/o students’ career development. We describe program logistics, outcomes, strengths, challenges, and lessons learned from delivering the intervention. We highlight unique features of the program and suggest its relevance to career education efforts in other school and national contexts in which immigrant students face racism and inequities.

scholarly journals A Practical Model for the Evaluation of High School Student Performance Based on Machine Learning

2021 ◽  
Vol 11 (23) ◽  
pp. 11534
Author(s):  
Mostafa Zafari ◽  
Abolghasem Sadeghi-Niaraki ◽  
Soo-Mi Choi ◽  
Ali Esmaeily
Keyword(s):  
Machine Learning ◽  
High School ◽  
High School Students ◽  
Student Performance ◽  
Support Vector ◽  
School Students ◽  
Online Questionnaire ◽  
Factors Affecting ◽  
Original Dataset ◽  
Artificial Neural Network Ann

The objective of this research is to develop an machine learning (ML) -based system that evaluates the performance of high school students during the semester and identify the most significant factors affecting student performance. It also specifies how the performance of models is affected when models run on data that only include the most important features. Classifiers employed for the system include random forest (RF), support vector machines (SVM), logistic regression (LR) and artificial neural network (ANN) techniques. Moreover, the Boruta algorithm was used to calculate the importance of features. The dataset includes behavioral information, individual information and the scores of students that were collected from teachers and a one-by-one survey through an online questionnaire. As a result, the effective features of the database were identified, and the least important features were eliminated from the dataset. The ANN accuracy, which was the best accuracy in the original dataset, was reduced in the decreased dataset. On the contrary, SVM performance was improved, which had the highest accuracy among other models, with 0.78. Moreover, the LR and RF models could provide the same performance in the decreased dataset. The results showed that ML models are influential for evaluating students, and stakeholders can use the identified effective factors to improve education.

Preparing High School Students With Chronic Illnesses for College Transition: Lessons Learned From College Counselors

2019 ◽  
Vol 23 (1) ◽  
pp. 2156759X2090707
Author(s):  
Eric S. Davis ◽  
Carly Paro
Keyword(s):  
High School ◽  
High School Students ◽  
School Counselors ◽  
High School Transition ◽  
Lessons Learned ◽  
Chronic Illnesses ◽  
Future Research ◽  
School Students ◽  
College Counselors ◽  
High School Preparation

Interest is growing regarding high school preparation for students transitioning to college with chronic illnesses such as asthma, cancer, and diabetes. This qualitative study examined 15 college counselors’ perceptions of working to address high school transition needs with incoming students diagnosed with chronic illnesses. Four themes emerged from the findings: counseling services, social aspects, medical considerations, and educational needs. We discuss implications for high school counselors’ practice and future research.

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