Publication Date
In 2025 | 5 |
Descriptor
Behavior Patterns | 5 |
Student Behavior | 5 |
Decision Making | 2 |
Electronic Learning | 2 |
Middle School Students | 2 |
Psychological Patterns | 2 |
Age Differences | 1 |
Art | 1 |
Art Therapy | 1 |
Artificial Intelligence | 1 |
Barriers | 1 |
More ▼ |
Source
European Journal of Education | 1 |
Grantee Submission | 1 |
Innovations in Education and… | 1 |
Journal of Computing in… | 1 |
RMLE Online: Research in… | 1 |
Author
Ariella Levenberg | 1 |
Bharati Singh | 1 |
Blend Ibrahim | 1 |
Jelena Andelkovic | 1 |
Jelena Andelkovic Labrovic | 1 |
Joe Hazzam | 1 |
Kelly Collins | 1 |
Marija Meršnik | 1 |
Melissa Lee | 1 |
Mingyu Feng | 1 |
Natalie Brezack | 1 |
More ▼ |
Publication Type
Reports - Research | 5 |
Journal Articles | 4 |
Speeches/Meeting Papers | 1 |
Education Level
Junior High Schools | 2 |
Middle Schools | 2 |
Secondary Education | 2 |
Elementary Education | 1 |
Grade 5 | 1 |
Grade 6 | 1 |
Higher Education | 1 |
Intermediate Grades | 1 |
Postsecondary Education | 1 |
Audience
Location
United Kingdom | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
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)

Natalie Brezack; Melissa Lee; Kelly Collins; Wynnie Chan; Mingyu Feng – Grantee Submission, 2025
Students' effort and emotions are important contributors to math learning. In a recent study evaluating the efficacy of MathSpring, a scalable web-based intelligent tutoring system that provides students with personalized math problems and affective support, system usage data were collected for 804 U.S. 10-12-year-olds. To understand the patterns…
Descriptors: Intelligent Tutoring Systems, Problem Solving, Behavior Patterns, Student Behavior
Joe Hazzam; Stephen Wilkins; Bharati Singh; Blend Ibrahim – Innovations in Education and Teaching International, 2025
Social media educational tools represent an opportunity for higher education (HE) institutions to enhance postgraduate students' skills development. LinkedIn Learning can be used to complement classroom teaching and learning. However, the drivers and outcomes of this tool remain a gap in the literature. This study uses a cross-sectional research…
Descriptors: Foreign Countries, Graduate Students, Electronic Learning, Social Media
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
Jelena Andelkovic Labrovic; Nikola Petrovic; Jelena Andelkovic; Marija Meršnik – Journal of Computing in Higher Education, 2025
The focus of this study was on identifying patterns of student behavior to support data-informed decision-making which would then improve the learning experience and learning outcomes of online English language courses. Learning analytics approach (or more specifically cluster analysis) was used to identify engagement patterns in online learning.…
Descriptors: Electronic Learning, Online Courses, Behavior Patterns, Student Behavior