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Unlocking academic achievement of nursing master’s students: ethical leadership, teacher-student relationship and growth mindset – a cross-sectional survey study [PDF]

open access: yesBMC Medical Education
Background Academic achievement is a critical indicator of teaching quality. There has been limited exploration into the mechanisms underlying academic achievements among nursing master’s students. This study investigated the relationship between ethical
Duo Zhang   +9 more
doaj   +2 more sources

Naïve Bayes for Analysis of Student Learning Achievement [PDF]

open access: yesSHS Web of Conferences, 2022
Student achievement is measured by the achievement index value obtained every semester,student achievement is measured by several factors, and in this research the author takes several factors including study paths, choice of majors, monthly living ...
Pandiangan N.   +2 more
doaj   +1 more source

HUBUNGAN KOMPETENSI PROFESIONAL GURU KIMIA DAN MOTIVASI BELAJAR SISWA DENGAN PRESTASI BELAJAR KIMIA SISWA

open access: yesFitrah, 2022
: This study aims to find out how strong  the correlations between : teachers' professional competence and student achievement in chemistry, (b) student motivation and student achievement, and (c) teachers' professional competence together with student ...
Mujadalah Mujadalah   +2 more
doaj   +1 more source

The effect of student and school characteristics on TIMSS 2015 science and mathematics achievement: The case of Türkiye [PDF]

open access: yesJournal of Pedagogical Research, 2023
In this study, the effects of some student (e.g., gender, bullying, etc.) and school variables (e.g., emphasis on academic achievement, clarity of teaching, etc.) on the TIMSS 2015 science and mathematics achievement of eighth grade students in Türkiye ...
Burçin Coşkun, Engin Karadağ
doaj   +1 more source

The Influence of Work Attitudes on Student Achievement at SMK Negeri 1 Tomohon

open access: yesJurnal Edunitro, 2023
This research is motivated by the influence of work attitudes on student achievement. Students can now act quickly due to several factors of the times and technology that affect student attitudes in the learning process, affecting their learning ...
Gerry Kaligis, Aspirasi Dakhi
doaj   +1 more source

A Predictive Model for Student Achievement Using Spiking Neural Networks Based on Educational Data

open access: yesApplied Sciences, 2022
Student achievement prediction is one of the most important research directions in educational data mining. Student achievement directly reflects students’ course mastery and lecturers’ teaching level. Especially for the achievement prediction of college
Chuang Liu   +3 more
doaj   +1 more source

A Vocational School Cutting-Edge Learning Strategy: Examining Gamification Towards Student Engagement and Achievement

open access: yesJurnal Kependidikan, 2022
The digital era facilitates vocational-based school learning by using innovative and digital methods. Learning media using gamification tends to be better and more relevant for students because it follows their age.
Nur Rohmah
doaj   +1 more source

A Novel Student Achievement Prediction Method Based on Deep Learning and Attention Mechanism

open access: yesIEEE Access, 2023
Student achievement is an important indicator for evaluating the quality of education. It can assess development potential of students and teaching level of lecturers.
Yu Liu   +3 more
doaj   +1 more source

The Effects of Problem Posing Learning Model on Students' Learning Achievement and Motivation [PDF]

open access: yesIndonesian Journal on Learning and Advanced Education (IJOLAE) 2 (2020) 100-108, 2020
Posing high-quality problems is a critical skill to be possessed by students in learning mathematics. However, it is still limited in literature in answering whether problem posing learning model effective in improving students' learning achievement and motivation.
arxiv   +1 more source

Sampling weights in multilevel modelling: an investigation using PISA sampling structures

open access: yesLarge-scale Assessments in Education, 2021
Background Standard methods for analysing data from large-scale assessments (LSA) cannot merely be adopted if hierarchical (or multilevel) regression modelling should be applied.
Julia Mang   +3 more
doaj   +1 more source

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