scholarly journals Evaluating class and school effects on the joint student achievements in different subjects: a bivariate semiparametric model with random coefficients

2021 ◽  
Author(s):  
Chiara Masci ◽  
Francesca Ieva ◽  
Tommaso Agasisti ◽  
Anna Maria Paganoni
Keyword(s):  
Discrete Distribution ◽  
Semiparametric Model ◽  
Random Coefficients ◽  
School Level ◽  
Lasso Regression ◽  
Student Achievements ◽  
Educational Production ◽  
And Mathematics ◽  
The Impact ◽  
Reading And Mathematics

AbstractThis paper proposes an innovative statistical method to measure the impact of the class/school on student achievements in multiple subjects. We propose a semiparametric model for a bivariate response variable with random coefficients, that are assumed to follow a discrete distribution with an unknown number of support points, together with an Expectation-Maximization algorithm—called BSPEM algorithm—to estimate its parameters. In the case study, we apply the BSPEM algorithm to data about Italian middle schools, considering students nested within classes, and we identify subpopulations of classes, standing on their effects on student achievements in reading and mathematics. The proposed model is extremely informative in exploring the correlation between multiple class effects, which are typical of the educational production function. The estimated class effects on reading and mathematics student achievements are then explained in terms of various class and school level characteristics selected by means of a LASSO regression.

How Do Technology Application and Equity Impact Student Achievement?

2011 ◽  
Vol 1 (2) ◽  
pp. 1-14
Author(s):  
Tak Cheung Chan
Keyword(s):  
Socioeconomic Status ◽  
Student Achievement ◽  
Low Socioeconomic Status ◽  
Standardized Test ◽  
School Level ◽  
Technology Application ◽  
Student Socioeconomic Status ◽  
And Mathematics ◽  
Impact Of Technology ◽  
The Impact

This study examines the impact of technology application on student achievement in the state of Georgia. Technology application includes elements such as technology access, technology integration, and teacher technology proficiency. Student achievement refers to students’ standardized test scores in language, social studies, sciences, and mathematics in elementary, middle, and high schools. Results of Multiple Regression analysis yielded significant percentages of variance in student achievement that was attributable to Internet connected computer access. Another purpose of the study was to investigate the equity issues of school technology. School levels and student socioeconomic status were used as independent variables to determine if significant differences in technology application existed among the school levels and the socioeconomic status categories. Results of Analysis of Variance indicated that students of low socioeconomic status had far less opportunities to access Internet connected computers than students of high socioeconomic status. The level of technology application increased as students moved up the school level.

Multilevel Approach to Exploring Predictors of College Readiness in Reading and Mathematics

2020 ◽  
Vol 7 (10) ◽  
pp. 364-378
Author(s):  
Bidya Raj Subedi ◽  
Clement Russell
Keyword(s):  
High School ◽  
College Readiness ◽  
High School Graduates ◽  
The United States ◽  
School Level ◽  
Hierarchical Generalized Linear Model ◽  
Level 1 ◽  
And Mathematics ◽  
Level 2 ◽  
Reading And Mathematics

For high school graduates and non-graduates, this paper explored significant student and school level predictors of college readiness in reading and mathematics for 9,952 students from 52 schools in one of the largest school districts in the United States. This study employed a two-level Hierarchical Generalized Linear Model (HGLM) that included student level (level-1) and school level (level-2) predictors in order to predict three categories of college readiness formed in combination with high school graduates and non-graduates. The results presented the list of significant predictors and across-school variances for predicting college readiness in reading and mathematics. The results found several academic, behavioral, and demographic predictors at student and school levels producing significant effects on college readiness in reading and mathematics. The across-school variance components for predicting the probabilities of mastery in college readiness both in reading and mathematics are found significant.

Investigating the impact of teacher practices and noncognitive factors on mathematics achievement

2019 ◽  
Vol 108 (1) ◽  
pp. 22-45
Author(s):  
Tristan Hann
Keyword(s):  
Mathematics Achievement ◽  
Mathematics Anxiety ◽  
Project Based Learning ◽  
School Level ◽  
Self Concept ◽  
Modeling Framework ◽  
International Student Assessment ◽  
And Mathematics ◽  
Noncognitive Factors ◽  
The Impact

It is with increasing importance that mathematics education research considers the role of noncognitive motivation variables alongside elements of the classroom context in investigations of student mathematics performance. This study uses a hierarchical linear modeling framework to predict mathematics achievement from three classroom variables, project-based learning, group collaboration, and student-driven curriculum, and two noncognitive factors, mathematics anxiety and mathematics self-concept, utilizing data from the 2012 Programme for International Student Assessment (PISA) United States sample. Findings suggest that mathematics classroom contexts that are student-driven and integrate project-based learning positively impact mathematics achievement, and that both mathematics anxiety and mathematics self-concept contribute significantly towards explaining variation in mathematics achievement after accounting for gender, race, socioeconomic status, truancy, and school-level poverty.

The Impact of using 3D Interactive Animation Tool in Teaching Computer Programming at the Senior High School Level

2018 ◽  
Vol 3 (2) ◽  
pp. 18-28
Author(s):  
Najim Ussiph ◽  
Hamidu Kwame Seidu
Keyword(s):  
High School ◽  
Research Work ◽  
Instructional Method ◽  
Senior High School ◽  
School Level ◽  
Eastern Region ◽  
3D Animation ◽  
High School Level ◽  
Significant Difference ◽  
The Impact

A quasi experiment with interview was adopted to study the aptness of using 3D animations as an instructional method to introduce programming concepts to students at the Senior High School level. This research work was conducted with 100 students of Akroso Senior High School in the Birim central municipality of the eastern region of Ghana who were generally programming novice. Programming concepts considered included programming environments, loops, functions sequential and conditional execution of programs. A paired t-test carried out on the results of the performance test presents a p-value of 0.008 indicative of a numerically significant difference between the mean marks of participants during the experiments that used 3D animation method as against the experiments that used the text base method. Results from the interview showed that the instructional method used had impact on the performance of the learners. The use of 3D animation method presented programming concepts in a form that the learners can understand, motivates them to pursue programming related courses at a higher level and also impacts positively on their performance.

scholarly journals Bridging the gap: blending spatial skills instruction into a technology teacher preparation programme

2021 ◽  
Author(s):  
Diarmaid Lane ◽  
Sheryl Sorby
Keyword(s):  
Teacher Preparation ◽  
Gender Gap ◽  
Future Research ◽  
First Year ◽  
Spatial Skills ◽  
First Year Students ◽  
Base Level ◽  
Technology Teacher ◽  
And Mathematics ◽  
The Impact

AbstractIn recent years, there has been a surge in research in spatial thinking across the international community. We now know that spatial skills are malleable and that they are linked to success across multiple disciplines, most notably Science, Technology, Engineering and Mathematics (STEM). While spatial skills have been examined by cognitive scientists in laboratory environments for decades, current research is examining how these skills can be developed in field-based environments. In this paper, we present findings from a study within a Technology Teacher preparation programme where we examined first-year students’ spatial skills on entry to university. We explain why it was necessary to embed a spatial skills intervention into Year 1 of the programme and we describe the impact that this had on students’ spatial scores and on academic performance. The findings from our study highlight a consistent gender gap in spatial scores at the start of the first-year with female students entering the Technology Teacher preparation programme at a lower base level than male students. We describe how we integrated spatial development activities into an existing course and how an improvement in spatial scores and overall course performance was observed. The paper concludes by discussing the long-term sustainability of integrating spatial interventions within teacher preparation programmes while also highlighting the importance of future research to examine spatial skills as a fundamental component of technological capability.

Accuracy development in L2 writing: Exploring the potential of computer-assisted unfocused indirect corrective feedback in an online EFL course

ReCALL ◽  
2021 ◽  
pp. 1-17
Author(s):  
Cédric Brudermann ◽  
Muriel Grosbois ◽  
Cédric Sarré
Keyword(s):  
Foreign Language ◽  
Corrective Feedback ◽  
Computer Assisted ◽  
Mathematics Students ◽  
Language Teacher Education ◽  
Writing Accuracy ◽  
Data Yield ◽  
And Mathematics ◽  
The Impact ◽  
Error Types

Abstract In a previous study (Sarré, Grosbois & Brudermann, 2019), we explored the effects of various corrective feedback (CF) strategies on interlanguage development for the online component of a blended English as a foreign language (EFL) course we had designed and implemented. Our results showed that unfocused indirect CF (feedback on all error types through the provision of metalinguistic comments on the nature of the errors made) combined with extra computer-mediated micro-tasks was the most efficient CF type to foster writing accuracy development in our context. Following up on this study, this paper further explores the effects of this specific CF type on learners’ written accuracy development in an online EFL course designed for freshmen STEM (science, technology, engineering, and mathematics) students. In the online course under study, this specific CF type was experimented with different cohorts of STEM learners (N = 1,150) over a five-year period (from 2014 to 2019) and was computer-assisted: CF provision online by a human tutor was combined with predetermined CF comments. The aim of this paper is to investigate the impact of this specific CF strategy on error types. In this respect, the data yield encouraging results in terms of writing accuracy development when learners benefit from this computer-assisted specific CF. This study thus helps to gain a better understanding of the role that CF plays in shaping students’ revision processes and could inform language (teacher) education regarding the use of digital tools for the development of foreign language accuracy and the issues related to online CF provision.

scholarly journals The impact of theory-based messages on COVID-19 vaccination intentions: a structured summary of a study protocol for a randomised controlled trial

Trials ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Ben Young ◽  
Marie Kotzur ◽  
Lauren Gatting ◽  
Carissa Bonner ◽  
Julie Ayre ◽  
...  
Keyword(s):  
Online Survey ◽  
Controlled Trial ◽  
Significant Proportion ◽  
General Information ◽  
School Level ◽  
Text And Image ◽  
Post Intervention ◽  
Full Protocol ◽  
The Impact ◽  
Illness Coherence

Abstract Objectives Uptake of vaccination against COVID-19 is key to controlling the pandemic. However, a significant proportion of people report that they do not intend to have a vaccine, often because of concerns they have about vaccine side effects or safety. This study will assess the impact of theory-based messages on COVID-19 vaccination intention, drawing on the Necessity-Concerns framework to address previously reported beliefs and concerns about COVID-19 vaccination, and assess whether hypothesised variables (illness coherence, perceived necessity and concerns) mediate change in vaccination intention. Trial design Prospective, parallel two-arm, individually randomised (1:1) trial. Participants Adults aged over 18 years, living in Scotland and not vaccinated for COVID-19. A quota sampling approach will be used with the aim of achieving a nationally representative sample on gender, region and ethnic group, with oversampling of individuals with no educational qualifications or with only school-level qualifications. Intervention and comparator Intervention: Brief exposure to online text and image-based messages addressing necessity beliefs and concerns about COVID-19 vaccination. Comparator: Brief exposure to online text and image-based messages containing general information about COVID-19 and COVID-19 vaccination. Main outcomes Primary outcome: Self-reported intention to receive a vaccine for COVID-19 if invited, immediately post-intervention. Secondary outcomes: Self-reported COVID-19 illness coherence, perceived necessity of a COVID-19 vaccine and concerns about a COVID-19 vaccine, immediately post-intervention. Randomisation Quasi-randomisation performed automatically by online survey software, by creating a variable derived from the number of seconds in the minute that the participant initiates the survey. Participants starting the survey at 0-14 or 30-44 seconds in the minute are allocated to the intervention and 15-29 or 45-59 seconds to the comparator. Blinding (masking) Participants will not be blinded to group assignment but will not be informed of the purpose of the study until they have completed the follow-up survey. Investigators will be blinded to allocation as all procedures will be undertaken digitally and remotely without any investigator contact with participants. Numbers to be randomised (sample size) A total of 1,094 will be randomised 1:1 into two groups with 547 individuals in each. Trial Status Protocol version number 1.0, 26th February 2021. Recruitment status: Not yet recruiting, set to start April 2021 and end April 2021. Trial registration ClinicalTrials.gov, NCT04813770, 24th March 2021. Full protocol The full protocol is attached as an additional file, accessible from the Trials website (Additional file 1). In the interest in expediting dissemination of this material, the familiar formatting has been eliminated; this Letter serves as a summary of the key elements of the full protocol.

Sign in / Sign up

Export Citation Format

Share Document