Predicting Postsecondary Education and Employment Outcomes Using Results From the Transition Assessment and Goal Generator

2017 ◽  
Vol 41 (2) ◽  
pp. 111-121 ◽  
Author(s):  
Jennifer J. Burnes ◽  
James E. Martin ◽  
Robert Terry ◽  
Amber E. McConnell ◽  
Maeghan N. Hennessey
Keyword(s):  
High School ◽  
Grade Point Average ◽  
Postsecondary Education ◽  
Student Involvement ◽  
Transition Planning ◽  
Individualized Education Program ◽  
Employment Outcomes ◽  
Validity Evidence ◽  
Grade Point ◽  
Education And Employment

We conducted an exploratory study to investigate the relation between nonacademic behavior constructs measured by the Transition Assessment and Goal Generator (TAGG) and postsecondary education and employment outcomes for 297 high school leavers who completed the TAGG during their high school years. Four of eight TAGG constructs predicted postsecondary educational outcomes: (a) Interacting With Others, (b) Student Involvement in the Individualized Education Program (IEP), (c) Support Community, and (d) Goal Setting and Attainment. Four constructs predicted postsecondary employment outcomes: (a) Employment, (b) Student Involvement in the IEP, (c) Support Community, and (d) Interacting With Others. The addition of student grade point average (GPA) strengthened some of the models. The findings appear to add predictive validity evidence to support use of TAGG results to assist with transition planning.

Small Town Transition Services Model: Postsecondary Planning for Students With Autism Spectrum Disorder

2021 ◽  
pp. 875687052110279
Author(s):  
Karen Eastman ◽  
Gail Zahn ◽  
Wendy Ahnupkana ◽  
Bryson Havumaki
Keyword(s):  
High School ◽  
Autism Spectrum Disorder ◽  
Postsecondary Education ◽  
High School Transition ◽  
Transition Services ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Work Skills ◽  
Post Secondary ◽  
Education And Employment

Graduating from high school and moving to the next phase of life can be difficult for any student but is particularly so for those with autism spectrum disorder (ASD). Social and communication difficulties, sensory concerns, and narrow interests can negatively affect these students’ opportunity for postsecondary education and employment. Preparing students with ASD for post-school success may be especially challenging in rural schools, due to limited opportunities and resources. This article describes a rural high school transition services program designed to support students with ASD and other disabilities in becoming gainfully employed after high school or accessing post-secondary education. The program, designed by a student’s transition team starting in Grade 9, is based on recommendations from the literature and includes inclusion and co-teaching, work skills classes, collaboration with outside agencies, and the development of a student portfolio.

scholarly journals Predicting Freshman Grade Point Average From College Admissions Test Scores and State High School Test Scores

AERA Open ◽  
2016 ◽  
Vol 2 (4) ◽  
pp. 233285841667060 ◽  
Author(s):  
Daniel Koretz ◽  
Carol Yu ◽  
Preeya P. Mbekeani ◽  
Meredith Langi ◽  
Tasmin Dhaliwal ◽  
...  
Keyword(s):  
High School ◽  
Grade Point Average ◽  
Test Scores ◽  
College Admissions ◽  
Grade Point ◽  
Admissions Test

scholarly journals Supervised Learning Applied to Graduation Forecast of Industrial Engineering Students

2022 ◽  
Vol 11 (1) ◽  
pp. 325-337
Author(s):  
Natalia Gil ◽  
Marcelo Albuquerque ◽  
Gabriela de
Keyword(s):  
Machine Learning ◽  
High School ◽  
Logistic Regression ◽  
Supervised Learning ◽  
Grade Point Average ◽  
Engineering Students ◽  
Learning Algorithm ◽  
Industrial Engineering ◽  
Machine Learning Algorithm ◽  
Grade Point

<p style="text-align: justify;">The article aims to develop a machine-learning algorithm that can predict student’s graduation in the Industrial Engineering course at the Federal University of Amazonas based on their performance data. The methodology makes use of an information package of 364 students with an admission period between 2007 and 2019, considering characteristics that can affect directly or indirectly in the graduation of each one, being: type of high school, number of semesters taken, grade-point average, lockouts, dropouts and course terminations. The data treatment considered the manual removal of several characteristics that did not add value to the output of the algorithm, resulting in a package composed of 2184 instances. Thus, the logistic regression, MLP and XGBoost models developed and compared could predict a binary output of graduation or non-graduation to each student using 30% of the dataset to test and 70% to train, so that was possible to identify a relationship between the six attributes explored and achieve, with the best model, 94.15% of accuracy on its predictions.</p>

Predicting success in teacher education: Revisiting the influence of high school GPA, admission, and standardized test scores on academic and licensure performance

2020 ◽  
Vol 10 (2) ◽  
pp. 1-17
Author(s):  
Apler J. Bansiong ◽  
Janet Lynn M. Balagtey
Keyword(s):  
High School ◽  
Teacher Education ◽  
Grade Point Average ◽  
Test Scores ◽  
Standardized Test ◽  
Standardized Test Scores ◽  
Degree Programs ◽  
Licensure Examination ◽  
Grade Point ◽  
Admission Variables

This predictive study explored the influence of three admission variables on the college grade point average (CGPA), and licensure examination ratings of the 2015 teacher education graduates in a state-run university in Northern Philippines. The admission variables were high school grade point average (HSGPA), admission test (IQ) scores, and standardized test (General Scholastic Aptitude - GSA) scores. The participants were from two degree programs – Bachelor in Elementary Education (BEE) and Bachelor in Secondary education (BSE). The results showed that the graduates’ overall HSGPA were in the proficient level, while their admission and standardized test scores were average. Meanwhile, their mean licensure examination ratings were satisfactory, with high (BEE – 80.29%) and very high (BSE – 93.33%) passing rates. In both degree programs, all entry variables were significantly correlated and linearly associated with the CGPAs and licensure examination ratings of the participants. These entry variables were also linearly associated with the specific area GPAs and licensure ratings, except in the specialization area (for BSE). Finally, in both degrees, CGPA and licensure examination ratings were best predicted by HSGPA and standardized test scores, respectively. The implications of these findings on admission policies are herein discussed.

High School to College: Transition Experiences of Young Adults With Autism

2015 ◽  
Vol 34 (1) ◽  
pp. 52-64 ◽  
Author(s):  
Charlotte Y. Alverson ◽  
Lauren E. Lindstrom ◽  
Kara A. Hirano
Keyword(s):  
High School ◽  
Young Adults ◽  
Postsecondary Education ◽  
College Transition ◽  
Transition Planning ◽  
Adults With Autism ◽  
Disability Awareness ◽  
High School To College ◽  
Transition Experiences ◽  
Transition From High School

Youth with disabilities are less likely to enroll and complete postsecondary education than their nondisabled peers. Using a qualitative, cross-case design, we investigated the high school to college transition experiences of young adults diagnosed with Asperger syndrome (AS). Data sources included a family questionnaire, review of special education records, and multiple individual interviews ( N = 27) with young adults with AS, family members, teachers, and rehabilitation counselors. Social skills, communication, and executive functioning challenges in high school continued into postsecondary education settings. Across cases, five reoccurring themes seemed to influence the transition from high school to postsecondary education: (a) motivation to attend college, (b) high levels of disability awareness, (c) intentional family supports, (d) coordinated transition planning, and (e) clear postschool goals.

Working on Grade Point Average, test Accuracy, and Attendance of High School Students

1996 ◽  
Vol 78 (1) ◽  
pp. 41-42 ◽  
Author(s):  
Grant Lenarduzzi ◽  
T. F. McLaughlin
Keyword(s):  
High School ◽  
High School Students ◽  
Grade Point Average ◽  
Test Scores ◽  
Grade Point Averages ◽  
Test Accuracy ◽  
Lower Grade ◽  
School Students ◽  
Grade Point ◽  
School Year

The present analysis examined grade point averages (GPA), subject-matter test scores, and attendance for 274 students enrolled in a high school at the beginning of the 1992–1993 school year by the number of hours worked per week in the previous year (1991–92) and in the current school year (1992–1993). The over-all outcomes indicated that working fewer than 10 hours per week had small adverse effects on each measure. Students working from 10 to 20 hours per week had lower grade point averages and attendance. Students working over 20 hours per week had depressed test scores and grade point averages and more absences than other students who worked less or did not work.

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