Results 51 to 60 of about 1,666,932 (329)

Relationships of mathematics achievement with self-determined motivation and mathematics anxiety among senior two students in Northern Rwanda

open access: yesHeliyon, 2023
The most important factors affecting students' mathematics achievement are affective-motivational factors. Grounded on self-determination theory, expectancy-value theory, and control-value theory, we examined the relationship between self-determined ...
Emmanuel Iyamuremye   +2 more
doaj  

Toward becoming a “math-person”: Relationship between achievement emotions, personal beliefs, and mathematics identity [PDF]

open access: yesPsihologija
The current study explored the relationship between mathematics beliefs (MB) (perceived competence, intrinsic value, extrinsic value and cost), academic emotions (AE) (anxiety, boredom and enjoyment), mathematics identity (MI) and mathematics achievement
Blažanin Barbara   +2 more
doaj   +1 more source

The MSA Atrophy Index (MSA‐AI): An Imaging Marker for Diagnosis and Clinical Progression in Multiple System Atrophy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Reliable biomarkers are essential for tracking disease progression and advancing treatments for multiple system atrophy (MSA). In this study, we propose the MSA Atrophy Index (MSA‐AI), a novel composite volumetric measure to distinguish MSA from related disorders and monitor disease progression. Methods Seventeen participants with an
Paula Trujillo   +11 more
wiley   +1 more source

A Predicting Model of Mathematics Achievement: The Role of Achievement Goals and Different Dimentions of Academic Engagement [PDF]

open access: yesفصلنامه نوآوری‌های آموزشی, 2008
The purpose of the present study was to examine a predicting model of high school students’ mathematics achievement based on the role of achievement goals and different dimensions of academic engagement.
Elāhe Hejāzi   +2 more
doaj  

PRE-SERVICE SECONDARY MATHEMATICS TEACHERS’ UNDERSTANDING OF ABSOLUTE VALUE

open access: yesCakrawala Pendidikan: Jurnal Ilmiah Pendidikan, 2019
This study aims to give a comprehensive account of pre-service secondary mathematics teachers’ understanding of absolute value. Thirty two-item absolute value understanding test was developed and administered to thirty-eight students attending ...
Tian Abdul Aziz   +2 more
doaj   +1 more source

Pengaruh Strategi Pembelajaran Matematika Realistik Kontekstual dan Motivasi Belajar Terhadap Hasil Belajar Siswa SD

open access: yesIndoMath, 2020
Realistic mathematics learning strategies are more focused on student learning activities, which  then connected to student’s real world daily lives so that the learn process is felt to be more concrete.
Siti Munawaroh   +2 more
doaj   +1 more source

Fixel‐Based Analysis of Diffusion Imaging as a Quantitative Marker of Disease State in Spinocerebellar Ataxia

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxias (SCAs) are a group of genetically heterogeneous neurodegenerative diseases causing progressive deterioration and reduced quality of life. Therapeutic advances have been limited by a lack of sensitive anatomic, functional, or diffusion imaging‐based biomarkers.
David J. Arpin   +11 more
wiley   +1 more source

Which qualities did aspiring teachers value in their ‘best’ mathematics teachers? [PDF]

open access: yes, 2012
When aspiring mathematics teachers were asked to describe one of their own mathematics teachers who had made an impact on them it was found that personal attributes such as empathy, caring and commitment to their students were mentioned most often.
Forsythe, Sue, Lewis, Gareth
core   +1 more source

Owner-Intruder Contests with Information Asymmetry [PDF]

open access: yes, 2020
Owner-Intruder Contests with Information Asymmetry Faheem Farooq, Depts. of Biology and Chemistry, Jay Bisen, Manaeil Hasan, and Akhil Patel, with Dr. Jan Rychtar, Dept. of Mathematics and Discrete Mathematics, and Dr. Dewey T. Taylor, Dept.
Bisen, Jay   +3 more
core   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez   +2 more
wiley   +1 more source

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