The Potential of Document Sharing for Scaffolding Writing Instruction

2013 ◽  
pp. 198-215
Author(s):  
Katherine Landau Wright
Keyword(s):  
Public Schools ◽  
Test Scores ◽  
Standardized Test ◽  
Collaborative Writing ◽  
Balanced Literacy ◽  
Proximal Development ◽  
Writing Assignments ◽  
Gradual Release Of Responsibility ◽  
Teacher Workload ◽  
Pedagogical Frameworks

As the current focus of education is often on test scores rather than student learning, many public school teachers do not emphasize the development of cross-curricular writing skills in their curriculum. With the inherent pressures of standardized tests and growing class sizes, the burden of assessing writing projects often makes them prohibitive. However, recent research has shown that developing strong cross-curricular writing programs can not only support content knowledge but also raise standardized test scores. Web 2.0 document sharing technology can reduce teacher workload while providing more scaffolding and instruction than traditional writing assignments. Using these programs, instructors can implement collaborative writing projects that will allow students to learn as they write. This chapter uses pedagogical frameworks such as Balanced Literacy, Gradual Release of Responsibility, and Lev Vygotsky’s Zone of Proximal Development to support the implementation of cloud software in public schools. It also outlines action research from a middle school classroom using cloud technology and makes practical suggestions for use of free software in secondary curriculum.

scholarly journals Do In-School Feeding Programs Have an Impact on Academic Performance and Dropouts? The Case of Public Schools in Argentina.

2013 ◽  
Vol 21 ◽  
pp. 50 ◽  
Author(s):  
Cecilia Adrogue ◽  
Maria Eugenia Orlicki
Keyword(s):  
Academic Performance ◽  
Public Schools ◽  
Test Scores ◽  
Standardized Test ◽  
Growth Period ◽  
Nutritional Intervention ◽  
Nutritional Deficit ◽  
School Feeding ◽  
Feeding Program ◽  
School Feeding Program

As Argentina presents problems of malnutrition, the federal in-school feeding program has become a key policy because it provides an important nutritional intervention during a relevant growth period.  This paper estimates the effect of the program on academic performance -measured by standardized test scores- with a difference in difference model which exploits the change over time in the supply of the in-school feeding program during the end of the nineties. We build an original panel using the ONEE corresponding to the years 1997, 1999 and 2000. Our findings suggest that the program has successfully targeted the most disadvantaged schools. However, only partial improvement in school performance has been found. Language test scores were the only ones to show a statistically significant improvement, with no noticeable effects reported in math scores. These results are consistent with the characteristics of the federal in-school feeding program in Argentina, which do not compensate for the nutritional deficit the children bring from their homes. This implies that having an in-school feeding program –even that reaching the most needy populations- does not necessarily address the desired goals of compensating for nutritional deficits and correlating to improved test results for students.

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.

scholarly journals Intelligence assessment of deaf students with TONI 3

Psico-USF ◽  
2013 ◽  
Vol 18 (2) ◽  
pp. 183-191
Author(s):  
Anna Carolina Cassiano Barbosa ◽  
Katerina Lukasova ◽  
Tatiana Pontrelli Mecca ◽  
Elizeu Coutinho Macedo
Keyword(s):  
Public Schools ◽  
Hearing Aids ◽  
Hard Of Hearing ◽  
Test Scores ◽  
Communication Mode ◽  
Deaf Students ◽  
Intelligence Assessment ◽  
External Variables ◽  
Study Participants ◽  
Gender Type

The intelligence assessment of deaf and hard-of-hearing students has been a challenge for Brazilian psychologists, due to the lack of standardized and validated instruments for this population. The objective of this study was to assess the intelligence of deaf and hard-of-hearing students with the Test of Nonverbal Intelligence, Third Edition (TONI-3: Forma A) according to external variables: age, education, gender, type of deafness, use of hearing aid and communication mode. Study participants were 205 deaf students of both genders, with an average age of 14 years, from four public schools, ranging from elementary to middle school. Results showed no significant differences between subjects according to gender, type of deafness and communication mode. There was an increase in test scores with increasing age, grade and differences between students that used hearing aids. Thus, the findings demonstrate the validity of the TONI-3 to assess the intelligence of Brazilian deaf students.

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.

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