Results 81 to 90 of about 573,054 (349)

Self-regulated learning

open access: yes, 2013
published
Götz, Thomas   +2 more
openaire   +2 more sources

Hubungan antara Self Efficacydan Dukungan Sosial Orangtua dengan Self Regulated Learning Serta Implikasinya terhadap Bimbingan dan Konseling [PDF]

open access: yes, 2018
This research was based on how important to increase the students self regulated learning. Self efficacy and parent social support were the factors assumed to affect the self regulated learning.
Daharnis, A. C. (Ade)
core  

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

open access: yesAdvanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz   +3 more
wiley   +1 more source

DAPATKAH MODEL BLENDED LEARNING MEMPENGARUHI KEMANDIRIAN BELAJAR MATEMATIKA SISWA?

open access: yesAksioma: Jurnal Program Studi Pendidikan Matematika, 2018
This study aims to determine the effect of blended learning models to self-regulated learning of mathematics in eight-grade student in West Lampung. This study uses a quasi-experimental design with a population of all eighth-grade students of SMP Negeri ...
Budi Yanto, Heri Retnawati
doaj   +1 more source

Self-Regulated Learning

open access: yesSFU Educational Review, 2015
NA
openaire   +2 more sources

STUDENTS’ SELF-REGULATED LEARNING STRATEGIES IN EFL : A Case Study in One of Senior High Schools in Bandung [PDF]

open access: yes, 2015
The study aimed to investigate students’ self-regulated learning strategies in the three components, which were personal, behavioral, and environmental in learning English as foreign language.
Yulianti, Else
core  

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

IMPROVING STUDENT’S SELF-REGULATED LEARNING IN MATHEMATICS USING GARDNER’S MULTIPLE INTELLIGENCES TEACHING AND LEARNING [PDF]

open access: yes, 2015
During this time, the assessment of teachers put more emphasis on the cognitive aspects or competence of students' knowledge. Affective competence of students such as student’s self-regulated learning received less attention.
Margaretha, Madha Melissa
core  

A self-regulated learning system with scaffolding support for self-regulated e/m-learning [PDF]

open access: yes
[[abstract]]The paper proposes a self-regulated learning system with scaffold support for self-regulated e/m-learning. With the support of the self-regulated system, the learner can identify his best way for learning, where a learner can get supports ...
石貴平
core   +1 more source

Peptide Sequencing With Single Acid Resolution Using a Sub‐Nanometer Diameter Pore

open access: yesAdvanced Functional Materials, EarlyView.
To sequence a single molecule of Aβ1−42–sodium dodecyl sulfate (SDS), the aggregate is forced through a sub‐nanopore 0.4 nm in diameter spanning a 4.0 nm thick membrane. The figure is a visual molecular dynamics (VMD) snapshot depicting the translocation of Aβ1−42–SDS through the pore; only the peptide, the SDS, the Na+ (yellow/green) and Cl− (cyan ...
Apurba Paul   +8 more
wiley   +1 more source

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