Dynamic student assessment to advocate personalized learning plan

Author(s):  
Ahmad Sofian Shminan ◽  
Mohd Kamal Othman
2021 ◽  
pp. 365-390
Author(s):  
Stephanie Howard ◽  
Gökçe Arslan ◽  
Hamid Suluova

The present case study aims to investigate the effects and implications of a semi-structured, small group advising scheme led by a peer advisor (PA) who graduated from a previously offered scheme. The scheme involves a seven-unit Personalized Learning Module (PLM) that simultaneously combines four key points: (1) reflecting, (2) mindset training, (3) personal motivation and success, and (4) teaching students how to limit overwhelming sources of information as part of creating an actionable, personalized learning plan. Each unit of the PLM consists of an integrated, scaffolded set of original advising tools. Four learners were trained in a group by a PA. Data were collected through PA open-ended feedback forms at the end of each unit, metaphor drawings and the advisee feedback form containing the learners’ reflections on the efficiency of the module. Additionally, the PA’s feedback form containing the PA’s observations and reflections were used for data collection and data were analyzed through content analysis. The outcome of the study reveals promising results for future PA programs.


2019 ◽  
Vol 24 (3) ◽  
pp. 231-242 ◽  
Author(s):  
Herbert W. Marsh ◽  
Philip D. Parker ◽  
Reinhard Pekrun

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.


Methodology ◽  
2007 ◽  
Vol 3 (4) ◽  
pp. 149-159 ◽  
Author(s):  
Oliver Lüdtke ◽  
Alexander Robitzsch ◽  
Ulrich Trautwein ◽  
Frauke Kreuter ◽  
Jan Marten Ihme

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.


2019 ◽  
pp. 3121-334
Author(s):  
Carmen Palumbo ◽  
Antinea Ambretti ◽  
Giovanna Ferraioli

Over the past few decades, the adoption of an inclusive approach to education&nbsp;has stimulated a reflection on the educational value of body and movement&nbsp;within teaching-learning process in order to break down all barriers to learning&nbsp;and promote the full participation of young people to school activities. Indeed,body and movement represent an important didactic "medium" for developing&nbsp;individualized and personalized learning paths that take into account the&nbsp;specific needs and characteristics of students thus contributing to their global&nbsp;and harmonious development.


Author(s):  
Erika Anne Leicht

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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