Planning Staff Training for Virtual High Schools

2011 ◽  
pp. 142-150
Author(s):  
Chris Thompson ◽  
Zane L. Berge
Keyword(s):  
Standardized Test ◽  
Professional Staff ◽  
Virtual Schools ◽  
Standardized Test Scores ◽  
Online Student ◽  
The Public ◽  
Stage Of Development ◽  
Planning Staff ◽  
Online Schools ◽  
Quality Professional Development

This chapter briefly profiles three virtual schools, each at a different stage of development, yet each dependent upon a successful and sustained distance education program for its professional staff in order to remain viable long into the future. As virtual schools become more accepted by the public and the attention given to the online schools shifts from their sources of funding to their standardized test scores, a model for sustained distance training and education must be in place to deliver quality professional development that can positively impact students’ achievement scores on standardized tests for each school’s online student population.

Development of an online transdisciplinary student wellbeing bundle: a thematic analysis (Preprint)

2020 ◽  
Author(s):  
Jena Buchan ◽  
Bonnie Clough ◽  
Jonathan Munro ◽  
Tatjana Ewais ◽  
Jaime Wallis ◽  
...  
Keyword(s):  
Focus Groups ◽  
Thematic Analysis ◽  
Personal Growth ◽  
Professional Staff ◽  
Self Awareness ◽  
Online Student ◽  
Student Wellbeing ◽  
Community Connectedness ◽  
Emerging Themes ◽  
Further Development

BACKGROUND The consequences of burnout for tertiary students across the health professions are well documented and include higher rates of mental health challenges, suicide, alcoholism, and relationship problems. As a key stakeholder in University-offered wellbeing services and support, it is desirable for students to hold a central role in development of such resources, particularly given effectiveness relies on student uptake. Hence there is a compelling need to develop a student-driven approach to promote wellbeing in the tertiary setting at individual, curricula, and systems levels. OBJECTIVE Based on this need, an online student-focused platform was developed using a bottom-up approach to support participant-driven enhancement of wellbeing and resilience to counteract burnout. This study reports on the development of the initial online “Student Bundle”, providing a foundation to inform the design of more locally based approaches to improve wellness and prevent burnout. METHODS Students and academic and professional staff from Griffith University Health groups were invited to participate in a series of focus groups. Sessions sought to collect information on desired structure, resources and overall content of the Student Bundle, with a thematic analysis undertaken to identify emerging themes. RESULTS Focus groups were conducted separately with staff (n=17) and students (n=7). Six main themes in relation to the development of the bundle emerged: Communication/Engagement; Accessibility/Flexibility; Professional practice; Community; Awareness; and Opportunity for personal growth. Stakeholders emphasized a bundle should be engaging and proactive to address wellbeing issues, incorporate aspects linked to professional identity and foster community, connectedness and self-awareness, providing an opportunity for growth. CONCLUSIONS Our research has revealed significant needs in relation to how an online student-focused wellbeing bundle could be delivered and what it could provide. Findings from this study will be used to guide further development and implementation of a multimodal, interactive student wellbeing bundle.

scholarly journals Combining Outcome-Based and Preference-Based Matching: A Constrained Priority Mechanism

2021 ◽  
pp. 1-24
Author(s):  
Avidit Acharya ◽  
Kirk Bansak ◽  
Jens Hainmueller
Keyword(s):  
Machine Learning ◽  
Host Country ◽  
Real World ◽  
Test Scores ◽  
Standardized Test ◽  
Market Design ◽  
Standardized Test Scores ◽  
Real World Data ◽  
Refugee Families ◽  
Strategy Proof

Abstract We introduce a constrained priority mechanism that combines outcome-based matching from machine learning with preference-based allocation schemes common in market design. Using real-world data, we illustrate how our mechanism could be applied to the assignment of refugee families to host country locations, and kindergarteners to schools. Our mechanism allows a planner to first specify a threshold $\bar g$ for the minimum acceptable average outcome score that should be achieved by the assignment. In the refugee matching context, this score corresponds to the probability of employment, whereas in the student assignment context, it corresponds to standardized test scores. The mechanism is a priority mechanism that considers both outcomes and preferences by assigning agents (refugee families and students) based on their preferences, but subject to meeting the planner’s specified threshold. The mechanism is both strategy-proof and constrained efficient in that it always generates a matching that is not Pareto dominated by any other matching that respects the planner’s threshold.

Predicting academic success for students of color within STEM majors

2016 ◽  
Vol 10 (2) ◽  
pp. 124-134 ◽  
Author(s):  
John Gipson
Keyword(s):  
High School ◽  
Students Of Color ◽  
Test Scores ◽  
College Success ◽  
Standardized Test ◽  
Cumulative Effect ◽  
Standardized Test Scores ◽  
Content Type ◽  
College Gpa ◽  
High School Gpa

Purpose The aim of this study is to determine what pre-college characteristics predict college success for students of color enrolled within science, technology, engineering and mathematics programs, as measured by cumulative grade point average (GPA) after three years of initial enrollment. Design/methodology/approach To increase the generalizability by avoiding a single-year focus, the sample includes 954 first-year students entering one predominantly White research university during Fall 2010, Fall 2011 and Fall 2012 (Allen and Bir, 2011); GPAs were collected following three years of initial enrollment. IBM statistical package for the social sciences (SPSS) Statistics 22 was utilized to conduct correlation and multiple linear regression analyses. Findings Within all conditional models, after controlling for multiple variables, the number of advanced placement (AP) credits, standardized test scores and specific type of high school GPA were significantly related to cumulative college GPA after three years of enrollment. However, when multiple forms of high school GPA were included within a full model, only the number of AP credits and standardized test scores remained statistically related to cumulative college GPA. Further, high school core GPA is more strongly correlated with cumulative college GPA after three years of enrollment than overall high school GPA, high school science GPA and high school mathematics GPA. Originality/value This study adds to prior research by identifying that high school core GPA is an important predictor of college success and that the cumulative effect of enrollment within AP credits may be more beneficial than the cumulative effect of involvement within dual enrollment courses.

Turning Standardized Test Scores into a Tool for Improving Teaching and Learning

2000 ◽  
Vol 35 (3) ◽  
pp. 356-384 ◽  
Author(s):  
Jie-Qi Chen ◽  
Renee Salahuddin ◽  
Patricia Horsch ◽  
Suzanne L. Wagner
Keyword(s):  
Test Scores ◽  
Teaching And Learning ◽  
Standardized Test ◽  
Standardized Test Scores ◽  
Improving Teaching And Learning

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.

Association of Maternal Antidepressant Prescription During Pregnancy With Standardized Test Scores of Danish School-aged Children

JAMA ◽  
2021 ◽  
Vol 326 (17) ◽  
pp. 1725
Author(s):  
Jakob Christensen ◽  
Betina B. Trabjerg ◽  
Yuelian Sun ◽  
Julie Werenberg Dreier
Keyword(s):  
Test Scores ◽  
Standardized Test ◽  
Standardized Test Scores ◽  
School Aged Children ◽  
Antidepressant Prescription ◽  
Danish School
Sign in / Sign up

Export Citation Format

Share Document