scholarly journals The Impact of Teacher Demographic Representation on Student Attendance and Suspensions

2015 ◽  
Author(s):  
Stephen Holt ◽  
Seth Gershenson
Keyword(s):  
Student Attendance ◽  
Demographic Representation ◽  
The Impact

scholarly journals The flipped classroom: A learning model to increase student engagement not academic achievement

2017 ◽  
Vol 8 (2) ◽  
pp. 43-53 ◽  
Author(s):  
Masha Smallhorn
Keyword(s):  
Student Engagement ◽  
Learning Outcomes ◽  
Flipped Classroom ◽  
Student Attendance ◽  
Face To Face ◽  
Online Videos ◽  
Before And After ◽  
The Face ◽  
Face Time ◽  
The Impact

A decrease in student attendance at lectures both nationally and internationally, has prompted educators to re-evaluate their teaching methods and investigate strategies which promote student engagement. The flipped classroom model, grounded in active learning pedagogy, transforms the face-to-face classroom. Students prepare for the flipped classroom in their own time by watching short online videos and completing readings. Face-to-face time is used to apply learning through problem-solving with peers. To improve the engagement and learning outcomes of our second year cohort, lectures were replaced with short online videos and face-to-face time was spent in a flipped classroom. The impact of the flipped classroom was analysed through surveys, attendance records, learning analytics and exam data before and after the implementation of the flipped classroom. Results suggest an increase in student engagement and a positive attitude towards the learning method. However, there were no measurable increases in student learning outcomes.

Mentoring Students Back On-Track to Graduation: Program Results From Five Communities

2016 ◽  
Vol 49 (7) ◽  
pp. 643-675 ◽  
Author(s):  
Martha Abele Mac Iver ◽  
Steven Sheldon ◽  
Sarah Naeger ◽  
Emily Clark
Keyword(s):  
High School Students ◽  
Low Income ◽  
Dropping Out ◽  
Mentoring Program ◽  
Student Attendance ◽  
School Students ◽  
Quasi Experimental ◽  
Positive Experiences ◽  
The Impact ◽  
Warning Indicators

This quasi-experimental study examines the impact of a mentoring program for low-income and minority middle and high school students displaying early warning indicators of dropping out on attendance, behavior problems, and course passing. The study was conducted over 3 years in five districts throughout the country and used a comparison group identified through propensity score matching. Although students reported positive experiences with mentoring in surveys, significant program effects on student attendance, behavior, and course passing were not found. Such interventions may have little demonstrated effect not only due to implementation issues but also because they do not address school experience variables that influence student outcomes.

The Impact of Nudge Letters on Improving Attendance in an Urban District

2021 ◽  
pp. 001312452110045
Author(s):  
Martha Abele Mac Iver ◽  
Kellie Wills ◽  
Anna Cruz ◽  
Douglas J. Mac Iver
Keyword(s):  
Middle School Students ◽  
Regression Discontinuity ◽  
Regression Discontinuity Design ◽  
Attendance Rate ◽  
Student Attendance ◽  
School Students ◽  
Urban District ◽  
What Works ◽  
What Works Clearinghouse ◽  
The Impact

This study evaluates a “nudge letter” to parents intervention designed to reduce chronic absenteeism among students in one urban district. Using a regression discontinuity design (RDD), it estimates the impact of the intervention on improving student attendance. The forcing variable for the RDD was 2016–2017 attendance rate, with a “threshold” of a 0.90 attendance rate (missing 10% of days). Analyses established demographic equivalence of students in the 0.88 to 0.92 baseline attendance bandwidth. Although the overall impact of the intervention on attendance change between Fall 2016 and Fall 2017 (first-quarter attendance) was small and non-significant (ES 0.09, p = .20), the effect size for middle school students (0.34, p = .044) was “substantively important” by What Works Clearinghouse standards. The effect of the intervention on the full year’s attendance rate was not significant.

scholarly journals Peer-assisted learning to support attainment in Pharmacy

2019 ◽  
Vol 12 (1) ◽  
Author(s):  
Rebecca Maccabe ◽  
Ricarda Micallef ◽  
Dr Mark Carew
Keyword(s):  
Self Report ◽  
Learning Material ◽  
Pass Rates ◽  
Student Attendance ◽  
Peer Assisted Learning ◽  
Academic Mentoring ◽  
Student Mentors ◽  
Report Data ◽  
Self Report Data ◽  
The Impact

Academic mentoring (AM) is embedded in two modules of the Pharmacy course, using a peer-assisted learning (PAL) design. Training and payment are given to student mentors who work with academics and the AM team to create student-centred active learning material. In 2017/18, student attendance at PAL sessions was high, with 87% of the first- and second-year Pharmacy cohorts attending a session. Thirteen mentors supported both modules for a semester each. The impact of PAL in these sessions was measured by quantitative and qualitative analyses, using institutional data on retention, progression, attainment and self-report data. These data showed that students who engaged in PAL were: from traditionally under-represented groups in higher education (HE); specifically-disadvantaged students; from a Black and Minority Ethnic background (BME). PAL-engaging students had higher progression, retention and module pass rates. A survey of fifty mentees found unanimous agreement for the proposal that PAL was valuable and it confirmed that mentors were regarded as enthusiastic, organised and prepared. The formalisation of the AM and PAL process, together with its co-production between mentors and mentees, has increased the professionalism of the scheme and should be supported in the future.

The Impact of Demographic Representation on Absences and Suspensions

2017 ◽  
Vol 47 (4) ◽  
pp. 1069-1099 ◽  
Author(s):  
Stephen B. Holt ◽  
Seth Gershenson
Keyword(s):  
Demographic Representation ◽  
The Impact

The transformation of the South African Public Service: exploring the impact of racial and gender representation on organisational effectiveness

2016 ◽  
Vol 54 (1) ◽  
pp. 91-116 ◽  
Author(s):  
Sergio Fernandez ◽  
Hongseok Lee
Keyword(s):  
South African ◽  
Public Service ◽  
Gender Representation ◽  
Racial Groups ◽  
Female Representation ◽  
The South ◽  
Organisational Effectiveness ◽  
Demographic Representation ◽  
And Gender ◽  
The Impact

AbstractThe transformation of the South African Public Service into a bureaucracy that is broadly representative of the population is one of the most significant public sector reforms to occur since the end of apartheid. Grounded in the theory of representative bureaucracy, this study examines demographic representation in the South African Public Service and how it impacts the organisational effectiveness of national departments. The empirical analysis is based on longitudinal data from 60 national departments from 2006 to 2013. The findings show that as these organisations become more representative by hiring a higher per cent of Africans, of Coloureds, and of Indians, they achieve a higher per cent of goals. The findings for gender representation are more mixed and show that female representation among most racial groups is unrelated to organisational effectiveness.

scholarly journals Gerenciamento de Frequência Escolar Usando Visão Computacional e Redes Neurais Convolucionais

2020 ◽  
Author(s):  
Eder Almeida Chiquito ◽  
Guilherme Eduardo Rodrigues ◽  
Julio Becker ◽  
Caroline Mazetto Mendes
Keyword(s):  
Computer Vision ◽  
Mobile Device ◽  
School Attendance ◽  
Frequency Data ◽  
Web Page ◽  
Student Attendance ◽  
The People ◽  
The Impact

Monitoring students in the classroom plays a key role in the academicfollow-up. In addition to attendance control, it also allowsstudying the impact of absences on learning. In this context, thispaper presents the development of a school attendance managementsystem using computer vision techniques and convolutionalneural networks. A camera captures images from the classroom.The system then detects the faces of the people in the image, andrecognizes students using pre-trained convolutional neural networkmodels. The frequency data generated is stored in the systemdatabase and accessed through a web page. In addition, a mobileapp has been developed to notify student attendance. The initialresults show that the system identifies the registered students andnotifies the mobile device of responsible.

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