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A. N. Varnavsky – IEEE Transactions on Learning Technologies, 2024
The most critical parameter of audio and video information output is the playback speed, which affects many viewing or listening metrics, including when learning using tutoring systems. However, the availability of quantitative models for personalized playback speed control considering the learner's personal traits is still an open question. The…
Descriptors: Hierarchical Linear Modeling, Intelligent Tutoring Systems, Individualized Instruction, Electronic Learning
Aydin, Mustafa – Education and Information Technologies, 2022
With the rapid technological advancements, schools and teachers have great responsibilities to educate students with regard to technological transformations. Students' ease of access to information and communications technology (ICT) tools provides ample opportunities for the development of these skills, not solely limited to schools. On the other…
Descriptors: Hierarchical Linear Modeling, Computer Literacy, Information Literacy, Foreign Countries
Jiaqi Jackie Shi – ProQuest LLC, 2024
One of the many impacts of the COVID-19 pandemic has been the increasing prevalence and accessibility of online education. This trend has also introduced challenges for students, instructors, and institutions. This study examines factors affecting online course satisfaction, focusing on individual, instructor, and institutional level…
Descriptors: Prediction, Online Courses, Higher Education, Student Attitudes
Zhou, Hao; Ma, Xin – Sociological Methods & Research, 2023
Hierarchical linear modeling (HLM) is often used to estimate the effects of socioeconomic status (SES) on academic achievement at different levels of an educational system. However, if a prior academic achievement measure is missing in a HLM model, biased estimates may occur on the effects of student SES and school SES. Phantom effects describe…
Descriptors: Simulation, Hierarchical Linear Modeling, Socioeconomic Status, Institutional Characteristics
Hirakawa, Yukiko; Taniguchi, Kyoko – Asia Pacific Journal of Education, 2021
Reducing dropout rates is a major issue in Cambodia. This study examined the effects of school-level and student-level factors on dropout in rural Cambodian primary schools. We collected data of the same students over 3 years by visiting the same school. We used questionnaires for students and parents, checklists of school facilities, checklists…
Descriptors: Dropouts, Elementary School Students, Rural Areas, Foreign Countries
DeMars, Christine E. – Journal of Experimental Education, 2020
Multilevel Rasch models are increasingly used to estimate the relationships between test scores and student and school factors. Response data were generated to follow one-, two-, and three-parameter logistic (1PL, 2PL, 3PL) models, but the Rasch model was used to estimate the latent regression parameters. When the response functions followed 2PL…
Descriptors: Hierarchical Linear Modeling, Regression (Statistics), Simulation, Predictor Variables
Xu, Jianzhong; Corno, Lyn – Metacognition and Learning, 2022
Informed by two theoretical models of homework effects, we extended a model of homework on mathematics achievement in a large sample of Chinese eighth graders. Our model incorporated six clusters of homework variables -- student background factors, homework characteristics, teacher variables, parent variables, student motivation, and homework…
Descriptors: Models, Homework, Hierarchical Linear Modeling, Foreign Countries
Pov, Sokunrith; Kawai, Norimune; Murakami, Rie – International Journal of Inclusive Education, 2022
In recent years, the Royal Government of Cambodia has strongly emphasised the issue of school dropout. To date, many Cambodian workers have still not completed at least nine years of basic education due to the high dropout rate. Additionally, a great number of students at the secondary level continue to leave school early. To deal with the high…
Descriptors: Identification, Middle School Students, Dropouts, Dropout Research
Ashraf, Bilal; Singh, Akansha; Uwimpuhwe, Germaine; Higgins, Steven; Kasim, Adetayo – British Educational Research Journal, 2021
Meta-analysis is the synthesis of findings from research projects, which enables an estimate of the average or pooled effect across various studies. This study presents findings from the intention to treat analysis for a series of educational evaluations in England using a two-stage meta-analysis with standardised outcome data and individual…
Descriptors: Student Characteristics, Meta Analysis, Intervention, Program Effectiveness
Wang, Xi; Dai, Minhao; Mathis, Robin – International Journal of STEM Education, 2022
Background: Given the relatively low graduation and retention rate in undergraduate engineering programs in the United States, the factors that influence student success outcomes need to be examined. However, limited research systematically studied both student- and school-level factors and how they influenced undergraduate engineering student…
Descriptors: Student Characteristics, Institutional Characteristics, Influences, Engineering Education
Lee LeBoeuf; Jacob Goldstein-Greenwood; Angeline S. Lillard – Journal of Research on Educational Effectiveness, 2024
Common methods of measuring discipline disproportionality can produce contradictory results and obscure base-rate information. In this paper, we show how using multilevel modeling to analyze discipline disparities resolves ambiguities inherent in traditional measures of disparities: relative rate ratios and risk differences. One previous study…
Descriptors: Discipline, Disproportionate Representation, Measurement Techniques, Hierarchical Linear Modeling
Keyes, Tasha Seneca; Heath, Ryan D. – School Community Journal, 2023
Past research suggests that a sense of belonging to a community is developmentally important for adolescents and affects their engagement in school, especially during the transition to high school. However, little research examines the teaching practices that simultaneously foster classroom belonging and behavioral engagement to create a classroom…
Descriptors: Teaching Methods, Student Attitudes, Learner Engagement, Classroom Environment
Ertem, Hasan Yücel – Participatory Educational Research, 2021
The purpose of the current study was to investigate both studentlevel and school-level factors influencing reading literacy of students in Turkey by using PISA 2018 data. The study focused on reading literacy since the main subject of PISA 2018 was selected as reading literacy. The design of the study is a correlational research examining the…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students
Yetisir, Mehmet Ikbal; Bati, Kaan – International Journal of Psychology and Educational Studies, 2021
The Program for International Student Assessment (PISA) is a research project conducted by the Organization for Economic Co-operation and Development, which evaluates the knowledge and skills gained by 15-year-old students over three-year terms. Within this study's' scope, the PISA 2015 data were analysed to determine whether school-related…
Descriptors: School Effectiveness, Student Characteristics, Foreign Countries, Achievement Tests
Larson, Kristine E.; Pas, Elise T.; Bottiani, Jessika H.; Kush, Joseph M.; Bradshaw, Catherine P. – Journal of Positive Behavior Interventions, 2021
Student engagement is a multidimensional construct influenced by complex student, classroom, and school factors. Although prior research has examined various dimensions of student engagement, few studies have adopted a multilevel approach to simultaneously incorporate observational measures of classroom practices with student and school factors.…
Descriptors: Hierarchical Linear Modeling, Learner Engagement, Classroom Techniques, Multidimensional Scaling