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Every Student Succeeds Act…1
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Showing 1 to 15 of 28 results Save | Export
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Berkan Celik; Kursat Cagiltay – Education and Information Technologies, 2024
MOOC learners come from different backgrounds, and they have various motivations and intentions for taking online courses. This study examines learner intentions with subsequent behaviors and the reasons for the intention-behavior gap in MOOCs. A total of four MOOCs from BilgeIs MOOC Portal was used in this study. This quantitative study with a…
Descriptors: Students, MOOCs, Intention, Student Behavior
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Hengtao Tang; Yeye Tang; Miao Dai; Xu Du; Jui-Long Hung; Hao Li – TechTrends: Linking Research and Practice to Improve Learning, 2024
Blended learning, integrating online and in-person components, has been increasingly adopted in higher education to enhance students' learning experience and outcomes. While the advantages of blended learning are well-evidenced, research has primarily focused on the online pre-learning component, neglecting the significance of in-class activities.…
Descriptors: Blended Learning, Behavior Patterns, Learning Processes, Learning
Heather Whitaker – ProQuest LLC, 2024
The Every Student Succeeds Act was passed in 2015, requiring schools to choose an accountability measure to accompany standardized achievement assessments. This act charges schools to educate students on academic standards and address the whole student socially and emotionally. One climate variable not widely studied in America is students' sense…
Descriptors: Elementary Secondary Education, Discipline, Locus of Control, Behavior Patterns
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Esteban Villalobos; Isabel Hilliger; Carlos Gonzalez; Sergio Celis; Mar Pérez-Sanagustín; Julien Broisin – Journal of Learning Analytics, 2024
Researchers in learning analytics have created indicators with learners' trace data as a proxy for studying learner behaviour in a college course. Student Approaches to Learning (SAL) is one of the theories used to explain these behaviours, distinguishing between deep, surface, and organized study. In Latin America, researchers have demonstrated…
Descriptors: Learning Analytics, Academic Achievement, Role Theory, Learning Processes
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Hui Shi; Yihang Zhou; Vanessa P. Dennen; Jaesung Hur – Education and Information Technologies, 2024
The imbalance in student-teacher ratio and the diversity of student population pose challenges to MOOC's quality of instructor support. An understanding of student profiles, such as who they are and how they behave, is critical to improving personalized support of MOOC learning environments. While past studies have explored different types of…
Descriptors: MOOCs, Behavior Patterns, Student Behavior, Cluster Grouping
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Xiaona Xia; Wanxue Qi – Education and Information Technologies, 2024
The full implementation of MOOCs in online education offers new opportunities for integrating multidisciplinary and comprehensive STEM education. It facilitates the alignment between online learning content and learning behaviors. However, it also presents new challenges, such as a high rate of STEM dropouts. Many learners struggle to establish…
Descriptors: Graphs, MOOCs, STEM Education, Learning Processes
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Rose Sebastian; Anandita Krishnamachari; Andrew McCartney – Journal of Education for Teaching: International Research and Pedagogy, 2024
Consultation evenings, also known as parent-teacher conferences, are important opportunities for teachers to strengthen their relationships with caregivers. Many teachers, however, are unprepared, having had few opportunities to build skills and participate in real consultations during teacher training. To provide student teachers with more…
Descriptors: Student Teachers, Parent Teacher Conferences, Simulation, Behavior Patterns
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Ella Anghel; Lale Khorramdel; Matthias von Davier – Large-scale Assessments in Education, 2024
As the use of process data in large-scale educational assessments is becoming more common, it is clear that data on examinees' test-taking behaviors can illuminate their performance, and can have crucial ramifications concerning assessments' validity. A thorough review of the literature in the field may inform researchers and practitioners of…
Descriptors: Educational Assessment, Test Validity, Test Items, Reaction Time
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Melvin Prince; Emma Wang – Journal of Further and Higher Education, 2024
Past studies of academic dishonesty typically have been grounded in the theory of planned behaviour. Key predictors of academic dishonesty variables under this framework generally have been attitudes towards academic dishonesty, the impact of peer pressure to engage in such acts, and individual perceptions of related acts. However, planned…
Descriptors: Integrity, Cheating, Ethics, Student Behavior
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Xiaona Xia; Wanxue Qi – European Journal of Education, 2025
Massive Open Online Courses (MOOCs) effectively support online learning behaviour; while constructing a sustainable learning process, MOOCs have also formed the social network. In addition, learners' burnout state has become a serious obstacle to the development and promotion of MOOCs. This study analyzes the potential social behaviour associated…
Descriptors: MOOCs, Burnout, Social Behavior, Feedback (Response)
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Camilla Svens-Liavåg; Johan Korhonen; Sol-Britt Arnolds-Granlund – Scandinavian Journal of Educational Research, 2024
The aim of this study was to examine what kind of school performance and behaviour profiles could be identified among students in the final grade of basic education in the Swedish speaking parts of Finland (N = 1149, grade 9), how these differed in temperament and how temperament could explain profile differences in first language (L1, Swedish)…
Descriptors: Foreign Countries, Adolescents, Grade 9, Academic Achievement
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Yangyang Luo; Xibin Han; Chaoyang Zhang – Asia Pacific Education Review, 2024
Learning outcomes can be predicted with machine learning algorithms that assess students' online behavior data. However, there have been few generalized predictive models for a large number of blended courses in different disciplines and in different cohorts. In this study, we examined learning outcomes in terms of learning data in all of the…
Descriptors: Prediction, Learning Management Systems, Blended Learning, Classification
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Ariella Levenberg; Teres-Violet Mansour – RMLE Online: Research in Middle Level Education, 2025
This study explores teachers' perspectives on mandala coloring as a therapeutic tool for middle grades students with disruptive behavior disorders (DBDs). Employing an explanatory sequential mixed-methods design, the research first conducted qualitative interviews with ten experienced teachers, followed by teachers' quantitative assessments of 60…
Descriptors: Art, Freehand Drawing, Color, Middle School Students
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E. Gothai; S. Saravanan; C. Thirumalai Selvan; Ravi Kumar – Education and Information Technologies, 2024
In recent years, online education has been given more and more attention with the widespread use of the internet. The teaching procedure divides space and makes time for online learning; though teachers cannot control the learners accurately, the state of education calculates learners' learning situation. This paper explains that the discourse…
Descriptors: Artificial Intelligence, Discourse Analysis, Classification, Comparative Analysis
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Mohammed Jebbari; Bouchaib Cherradi; Soufiane Hamida; Abdelhadi Raihani – Education and Information Technologies, 2024
With the advancements in technology and the growing demand for online education, Virtual Learning Environments (VLEs) have experienced rapid development in recent years. This demand was especially evident during the COVID-19 pandemic. The incorporation of new technologies in VLEs provides new opportunities to better understand the behaviors of…
Descriptors: MOOCs, Algorithms, Computer Simulation, COVID-19
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