Expanded learning time and opportunities: Key principles, driving perspectives, and major challenges

2011 ◽  
Vol 2011 (131) ◽  
pp. 15-27 ◽  
Author(s):  
Dale A. Blyth ◽  
Laura LaCroix-Dalluhn
Keyword(s):  
Learning Time ◽  
Expanded Learning Time ◽  
Expanded Learning

Educational support in an Expanded Learning Time initiative: Optimizing its components to promote inclusive education

2021 ◽  
pp. 147490412110023
Author(s):  
Andrea Jardí ◽  
Emmanuel O. Acquah ◽  
Maria Adelina Ianos ◽  
Ignasi Puigdellívol
Keyword(s):  
At Risk ◽  
Academic Failure ◽  
Support Network ◽  
Practice Research ◽  
Research Approach ◽  
Mixed Method Research ◽  
Students At Risk ◽  
Learning Time ◽  
Expanded Learning Time ◽  
Expanded Learning

Expanded Learning Time (ELT) measures have been implemented internationally to reduce the likelihood of academic underachievement among students at risk. The goal of this article is to examine the components of an ELT initiative aimed at supporting students at risk of academic failure in order to optimize the components that can improve its use and organization. Through a mixed method research approach, we have analyzed the experiences of 1,786 5th through 10th graders, 238 teachers and 126 instructors of a city-wide after-school initiative in Spain. This within-group study examines the design of the support, the environment, and the interactions between stakeholders as key components to optimize this support and promote equity. The results show which support components are related to greater support use. The results also suggest understanding these measures as additional support placed within an enriched support network. Implications for practice, research and policy towards this type of initiative are also discussed.

HUBUNGAN ANTARA MANAJEMEN WAKTU BELAJAR, MOTIVASI BELAJAR, DAN FASILITAS BELAJAR DENGAN PRESTASI BELAJAR MATEMATIKA SISWA SMP KELAS VIII SE-KECAMATAN DANUREJAN YOGYAKARTA

2016 ◽  
Vol 4 (3) ◽  
Author(s):  
Nurita Juliasari ◽  
Benedictus Kusmanto
Keyword(s):  
Time Management ◽  
Hypothesis Test ◽  
Mathematics Learning ◽  
Descriptive Analysis ◽  
Motivation To Learn ◽  
Test Technique ◽  
Learning Achievement ◽  
Learning Time ◽  
8Th Grade ◽  
Major Hypothesis

The purpose of the research was to find out correlate between learn time management, motivation to learn, and learning facilities with mathematics learning achievement on 8th  grade students at the whole district of Danurejan Yogyakarta. The genre of this research is descriptive researchment. The population in this research were all students of 8th grade students at the whole district of Danurejan Yogyakarta with amount 593 students and the samples taken at proportional random sampling with amount 113 students. Data collection method used was a questionannaire and a test technique. Analysis using descriptive analysis of data, multiple regression, and partial correlation. In the major hypothesis test is obtained R = 0,747 and R2 = 0,558 with sig=0,000 < 0,05. Then in the first minor hypothesis test is obtained ry1-23 = 0,443 with         sig=0,000 < 0,05; the second minor hypothesis test is obtained ry2-13 = 0,370 with sig=0,000 < 0,05; and the minor third hypothesis test is obtained ry3-12 = 0,344 with sig=0,000 < 0,05. So there is a positive and significant correlation between learning time management, motivation to learn, and learning facilities with mathematics learning achievement on 8th grade students at the whole district of Danurejan Yogyakarta as collective and partial. It is expected that students care about learning time management, motivation to learn, and learning facilities to  mathematics learning achievement increasingly.

MENINGKATKAN KEMAMPUAN KOGNITIF MELALUI AKTIVITAS SENI MUSIK TERHADAP ANAK KELOMPOK B DI TK. ADINDA CAHAYA CIMAHI

2018 ◽  
Vol 1 (3) ◽  
pp. 14
Author(s):  
Nurpuri Waraswati ◽  
Rini Andriani
Keyword(s):  
Cognitive Ability ◽  
Cognitive Abilities ◽  
Present Method ◽  
Evaluation Research ◽  
Music Learning ◽  
Learning Time ◽  
Childhood Education ◽  
Research Questions ◽  
Art Activities ◽  
Basic Ability

Early Childhood Education (PAUD) implements education that refers to all the basic aspects or abilities that are developing in the child. The basic ability of children is very interesting to be studied, one of them cognitive abilities of children. It is raised in connection with the lack of cognitive abilities in Adinda Cahaya kindergarten with the present method mainly through the activity of the art of music. The existing formulation in this study is "The activity of music art that can improve the cognitive abilities of children". The purpose of this study is to describe the cognitive abilities of children in music art activities.. There are six levels of cognitive ability: knowledge, understanding, application of analysis, synthesis and evaluation. Research questions are 1). How does music activity and music learning time to support the development of children's cognitive abilities? 2. How does the child's memory of what the teacher has taught in music art activities? 3) How are children's development related to cognitive ability? The conclusion is that the study of music art gives a positive and influential effect on the child's cognitive development that will stimulate brain development and emotional intelligence.

scholarly journals ImbTreeEntropy and ImbTreeAUC: Novel R Packages for Decision Tree Learning on the Imbalanced Datasets

Electronics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 657
Author(s):  
Krzysztof Gajowniczek ◽  
Tomasz Ząbkowski
Keyword(s):  
Imbalanced Data ◽  
Misclassification Cost ◽  
Learning Time ◽  
Misclassification Costs ◽  
Split Point ◽  
Speed Up ◽  
R Packages ◽  
Class Labels ◽  
Entropy Functions ◽  
Support Cost

This paper presents two R packages ImbTreeEntropy and ImbTreeAUC to handle imbalanced data problems. ImbTreeEntropy functionality includes application of a generalized entropy functions, such as Rényi, Tsallis, Sharma–Mittal, Sharma–Taneja and Kapur, to measure impurity of a node. ImbTreeAUC provides non-standard measures to choose an optimal split point for an attribute (as well the optimal attribute for splitting) by employing local, semi-global and global AUC (Area Under the ROC curve) measures. Both packages are applicable for binary and multiclass problems and they support cost-sensitive learning, by defining a misclassification cost matrix, and weighted-sensitive learning. The packages accept all types of attributes, including continuous, ordered and nominal, where the latter type is simplified for multiclass problems to reduce the computational overheads. Both applications enable optimization of the thresholds where posterior probabilities determine final class labels in a way that misclassification costs are minimized. Model overfitting can be managed either during the growing phase or at the end using post-pruning. The packages are mainly implemented in R, however some computationally demanding functions are written in plain C++. In order to speed up learning time, parallel processing is supported as well.

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