PTA System: Mobile Computing Student Assessment by Parent and Teacher Association

2012 ◽  
pp. 210-220
Author(s):  
Joseph Fong ◽  
Kenneth Ting Yan Wong ◽  
Tracy Wu
Keyword(s):  
Mobile Computing ◽  
Student Assessment

Impacts of Mobile Computing on Student Learning in the University: A Comparison of Course Assessment Data

2009 ◽  
Vol 38 (1) ◽  
pp. 63-74 ◽  
Author(s):  
Mark Hawkes ◽  
Claver Hategekimana
Keyword(s):  
Mobile Computing ◽  
Student Performance ◽  
Student Assessment ◽  
Control Group ◽  
Course Assessment ◽  
Assessment Scores ◽  
Mobile Computing Environment ◽  
Negative Effect ◽  
The Impact ◽  
Wireless Mobile

This study focuses on the impact of wireless, mobile computing tools on student assessment outcomes. In a campus-wide wireless, mobile computing environment at an upper Midwest university, an empirical analysis is applied to understand the relationship between student performance and Tablet PC use. An experimental/control group comparison of mobile computing enabled learning outcomes in selected courses showed that the integration of wireless technology and highly functional computing tools did not have a negative effect on student assessment results. Out of the four courses evaluated, none of the revealed test scores were statistically different between non-using and mobile computer using groups, indicating no negative impacts of the introduction of ubiquitous technology into the classroom. A freshman-level college math course showed statistically significantly positive differences in course assessment scores when mobile computing was implemented over the same timeline. Results are discussed.

Three Paradoxical Effects on Academic Self-Concept Across Countries, Schools, and Students

2019 ◽  
Vol 24 (3) ◽  
pp. 231-242 ◽  
Author(s):  
Herbert W. Marsh ◽  
Philip D. Parker ◽  
Reinhard Pekrun
Keyword(s):  
International Student ◽  
Student Assessment ◽  
Cross Cultural ◽  
Frame Of Reference ◽  
School Level ◽  
Self Concept ◽  
Positive Effects ◽  
International Student Assessment ◽  
Country Level ◽  
Starting School

Abstract. We simultaneously resolve three paradoxes in academic self-concept research with a single unifying meta-theoretical model based on frame-of-reference effects across 68 countries, 18,292 schools, and 485,490 15-year-old students. Paradoxically, but consistent with predictions, effects on math self-concepts were negative for: • being from countries where country-average achievement was high; explaining the paradoxical cross-cultural self-concept effect; • attending schools where school-average achievement was high; demonstrating big-fish-little-pond-effects (BFLPE) that generalized over 68 countries, Organisation for Economic Co-operation and Development (OECD)/non-OECD countries, high/low achieving schools, and high/low achieving students; • year-in-school relative to age; unifying different research literatures for associated negative effects for starting school at a younger age and acceleration/skipping grades, and positive effects for starting school at an older age (“academic red shirting”) and, paradoxically, even for repeating a grade. Contextual effects matter, resulting in significant and meaningful effects on self-beliefs, not only at the student (year in school) and local school level (BFLPE), but remarkably even at the macro-contextual country-level. Finally, we juxtapose cross-cultural generalizability based on Programme for International Student Assessment (PISA) data used here with generalizability based on meta-analyses, arguing that although the two approaches are similar in many ways, the generalizability shown here is stronger in terms of support for the universality of the frame-of-reference effects.

Are There Test Administrator Effects in Large-Scale Educational Assessments?

Methodology ◽  
2007 ◽  
Vol 3 (4) ◽  
pp. 149-159 ◽  
Author(s):  
Oliver Lüdtke ◽  
Alexander Robitzsch ◽  
Ulrich Trautwein ◽  
Frauke Kreuter ◽  
Jan Marten Ihme
Keyword(s):  
Large Scale ◽  
International Student ◽  
Student Assessment ◽  
Student Groups ◽  
Mathematics Scores ◽  
International Student Assessment ◽  
Sample Attrition ◽  
Educational Assessments ◽  
Test Administrator ◽  
Practical Implications

Abstract. In large-scale educational assessments such as the Third International Mathematics and Sciences Study (TIMSS) or the Program for International Student Assessment (PISA), sizeable numbers of test administrators (TAs) are needed to conduct the assessment sessions in the participating schools. TA training sessions are run and administration manuals are compiled with the aim of ensuring standardized, comparable, assessment situations in all student groups. To date, however, there has been no empirical investigation of the effectiveness of these standardizing efforts. In the present article, we probe for systematic TA effects on mathematics achievement and sample attrition in a student achievement study. Multilevel analyses for cross-classified data using Markov Chain Monte Carlo (MCMC) procedures were performed to separate the variance that can be attributed to differences between schools from the variance associated with TAs. After controlling for school effects, only a very small, nonsignificant proportion of the variance in mathematics scores and response behavior was attributable to the TAs (< 1%). We discuss practical implications of these findings for the deployment of TAs in educational assessments.

Effects of Different Types of Educational Tracking on Achievement and Achievement Variance

2013 ◽  
Vol 9 ◽  
Author(s):  
Erika Anne Leicht
Keyword(s):  
International Student ◽  
Educational Opportunity ◽  
Educational Achievement ◽  
Student Assessment ◽  
Minor Role ◽  
Highly Educated ◽  
International Student Assessment ◽  
Educational Backgrounds ◽  
Different Types ◽  
Educational Tracking

Despite their stated intention of providing equal educational opportunity for all, many democratic countries separate their students into different classes or even different schools based on their demonstrated academic ability and likely future career. This practice is often referred to as “tracking or “ability grouping.” This study aims to determine whether different types of educational tracking have different effects on students’ academic achievement. Specifically, this study investigates whether disparities in educational achievement between students of highly educated versus minimally educated parents are greater in countries that practice more explicit and complete forms of tracking. It also explores tracking’s effects on average achievement and overall achievement variance. Analysis of data from the 2009 Programme for International Student Assessment (PISA) indicates that tracking generally does increase score disparities between children from different educational backgrounds. Tracking is also associated with higher overall variance of scores. At the same time, tracking may have a slight positive effect on average achievement. However, results are not consistent across all countries, and patterns are different in different subject areas and for different types of tracking. The results of this study neither condemn nor extol tracking. Rather, they indicate that tracking plays a relatively minor role in determining the quality and equity of an education system.

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