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Göktepe Yildiz, Sevda; Göktepe Körpeoglu, Seda – Education and Information Technologies, 2023
Traditionally, students' various educational characteristics are evaluated according to the grades they get or the results of their answers to the scales. There are some limitations in making an evaluation based on the results. The fuzzy logic approach, which tries to eliminate these limitations, has recently been used in the field of education.…
Descriptors: Foreign Countries, Students, Student Attitudes, Problem Solving
Clemente Rodríguez-Sabiote; Ana T. Valerio-Peña; Roberto A. Batista-Almonte; Álvaro M. Úbeda-Sánchez – International Review of Research in Open and Distributed Learning, 2024
The global pandemic caused by the SARS-CoV-2 virus brought about a true revolution in the predominant teaching-learning processes (i.e., face-to-face environment) that had been implemented up to that point. In this regard, virtual teaching-learning environments (VTLEs) have gained unprecedented significance. The main objectives of our research…
Descriptors: Electronic Learning, College Students, Online Courses, Models
Laura María García Carrizosa; Kristof De Witte – Cambridge Journal of Education, 2024
Teacher absenteeism has high individual and societal costs and triggers a vicious cycle by increasing teacher absenteeism for the remaining teachers. Moreover, teachers' non-attendance disrupts the learning process and affects student motivation and achievement. Teacher absenteeism further exacerbates the increasing teacher shortage observed in…
Descriptors: Teacher Attendance, Models, Predictor Variables, Teacher Shortage
Min, Wookhee; Frankosky, Megan H.; Mott, Bradford W.; Rowe, Jonathan P.; Smith, Andy; Wiebe, Eric; Boyer, Kristy Elizabeth; Lester, James C. – IEEE Transactions on Learning Technologies, 2020
A distinctive feature of game-based learning environments is their capacity for enabling stealth assessment. Stealth assessment analyzes a stream of fine-grained student interaction data from a game-based learning environment to dynamically draw inferences about students' competencies through evidence-centered design. In evidence-centered design,…
Descriptors: Game Based Learning, Student Evaluation, Artificial Intelligence, Models
Saks, Katrin; Hunt, Pihel; Leijen, Äli; Lepp, Liina – British Journal of Educational Studies, 2022
Teacher persistence has been a growing issue in recent decades. This raises the problem of the sustainability of the teaching workforce, the professionalism of working teachers and preserving the quality of education. In this study we aim to create and test an empirical model that makes it possible to predict teachers' plans to remain in or leave…
Descriptors: Teacher Persistence, Predictor Variables, Models, Teacher Motivation
Wrembel, Magdalena – Second Language Research, 2021
This commentary discusses the recent keynote article by Westergaard (2021), which is an interesting contribution to the field of language acquisition and multilingualism, especially because it attempts to provide a wider perspective by embracing first, second and third language acquisition. I address major claims put forward by Westergaard, to…
Descriptors: Multilingualism, Second Language Learning, Native Language, Phonology
Ozkan, Umut Birkan; Cigdem, Harun; Erdogan, Tolga – Turkish Online Journal of Distance Education, 2020
The contribution of e-learning technologies, especially LMS which has become an important component of e-learning, is significantly increasing in higher education. It is critical to understand the factors that affect the behavioral intention of students towards LMS use. The aim of this study is to explore predictors of students' acceptance of…
Descriptors: Predictor Variables, Integrated Learning Systems, Expectation, Social Influences
Brewer, Steven L.; Brewer, Hannah J.; Kulik, Keri S. – Journal of School Health, 2018
BACKGROUND: Bullying is more likely to happen in schools than in any other location. The purpose of this study is to use decision tree analyses to predict specific risk factors for bullying to identify areas of interest for school-based bullying prevention. METHODS: We obtained data from the 2013 National Crime Victimization Study (NCVS) School…
Descriptors: Bullying, Victims, Predictor Variables, Prediction
Whitlock, Joshua Lee – ProQuest LLC, 2018
The purpose of this study was to discover factors about first-time freshmen that began at one of the six 4-year universities in the former Tennessee Board of Regents (TBR) system, transferred to any other institution after their first year, and graduated with a degree or certificate. These factors would be used with predictive models to identify…
Descriptors: College Freshmen, College Transfer Students, College Graduates, Student Characteristics
Alqurashi, Emtinan – ProQuest LLC, 2017
This study aimed to explore the relationship between four predictor variables (online learning self-efficacy, learner-content interaction, learner-instructor interaction, and learner-learner interaction) and student satisfaction and perceived learning. The purpose of this study was to investigate the extent to which the four variables are…
Descriptors: Self Efficacy, Interaction, Models, Student Satisfaction
Eugene, Danielle R. – Journal of Education for Students Placed at Risk, 2020
This multilevel study examined the effects of socioeconomic status (SES) and student perceptions of school climate on academic achievement at the student and school levels. Data used were from the Education Longitudinal Study of 2002. The sample included 9,518 students enrolled in 584 public high schools. The results revealed that student-level…
Descriptors: Models, Educational Environment, Socioeconomic Status, Student Attitudes
Zwolak, Justyna P.; Zwolak, Michael; Brewe, Eric – Physical Review Physics Education Research, 2018
The lack of an engaging pedagogy and the highly competitive atmosphere in introductory science courses tend to discourage students from pursuing science, technology, engineering, and mathematics (STEM) majors. Once in a STEM field, academic and social integration has been long thought to be important for students' persistence. Yet, it is rarely…
Descriptors: Social Networks, STEM Education, Academic Persistence, Peer Relationship
Sternberg, Robert J. – Creativity Research Journal, 2015
Universities, like students, differ in their ability to learn and to recreate themselves. In this article, I present a 3-part model of institutional creative change for assessing universities as learning organizations that can move creatively into the future. The first part, prerequisites, deals with actual ability to change creatively and belief…
Descriptors: Universities, Higher Education, Creativity, Models
Uysal, Sengul; Banoglu, Koksal – Cypriot Journal of Educational Sciences, 2018
This study aims to analyse the relationship between students' mathematics achievement in Programme for International Student Assessment (PISA) 2012 and the instructional climate-related factors in the index of principals' perceptions (learning hindrance, teacher morale and teacher intention). As preliminary analysis procedure, the chi-squared…
Descriptors: Foreign Countries, Mathematics Achievement, Educational Environment, Administrator Attitudes
Andrade, Alejandro; Danish, Joshua A.; Maltese, Adam V. – Journal of Learning Analytics, 2017
Interactive learning environments with body-centric technologies lie at the intersection of the design of embodied learning activities and multimodal learning analytics. Sensing technologies can generate large amounts of fine-grained data automatically captured from student movements. Researchers can use these fine-grained data to create a…
Descriptors: Measurement, Interaction, Models, Educational Environment

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