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Showing 136 to 150 of 721 results Save | Export
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Mtebe, Joel S.; Kondoro, Aron W. – Journal of Learning for Development, 2019
The adoption and use of various eLearning systems to enhance the quality of education in secondary schools in Tanzania is becoming common. However, there is little evidence to suggest that students actually use them. Existing studies tend to focus on investigating students' attitude towards using these systems through surveys. Nonetheless, data…
Descriptors: Behavior Patterns, Electronic Learning, Secondary School Students, Student Behavior
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Araújo, Isabel; Faria, Pedro Miguel – International Association for Development of the Information Society, 2020
The evolution of ICT and its adoption in higher education is driving greater interactivity in teaching and learning processes. The teaching/learning paradigm has been changing. Both educational actors, teacher and student, are increasingly adapting to use technologies. This article presents a study that enhances how technologies can be used in the…
Descriptors: Student Attitudes, Integrated Learning Systems, Higher Education, Technology Integration
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Shen, Shitian; Chi, Min – International Educational Data Mining Society, 2017
One of the most challenging tasks in the field of Educational Data Mining (EDM) is to cluster students directly based on system-student sequential moment-to-moment interactive trajectories. The objective of this study is to build a general temporal clustering framework that captures the distinct characteristics of students' sequential behaviors…
Descriptors: Sequential Approach, Cluster Grouping, Interaction, Student Behavior
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Erickson, Megan; Gresham, Frank – Journal of Emotional and Behavioral Disorders, 2019
Universal screening serves to identify students at risk for emotional and behavioral difficulties while their behavior is still amenable to treatment. However, there are few universal screeners available for middle school students who may be at heightened risk for developing emotional and behavioral difficulties due to major academic and social…
Descriptors: Teacher Attitudes, Student Behavior, Screening Tests, Behavior Disorders
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Foung, Dennis; Chen, Julia – Electronic Journal of e-Learning, 2019
In recent years, research using learning analytics to predict learning outcomes has begun to increase. This emerging field of research advocates the use of readily-available data to inform teaching and learning. The current case study adopts a learning analytics approach to evaluate the online learning package of an academic English course in a…
Descriptors: Foreign Countries, Blended Learning, Electronic Learning, English for Academic Purposes
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Shimada, Atsushi; Mouri, Kousuke; Taniguchi, Yuta; Ogata, Hiroaki; Taniguchi, Rin-ichiro; Konomi, Shin'ichi – International Educational Data Mining Society, 2019
In this paper, we focus on optimizing the assignment of students to courses. The target courses are conducted by different teachers using the same syllabus, course design, and lecture materials. More than 1,300 students are mechanically assigned to one of ten courses taught by different teachers. Therefore, mismatches often occur between students'…
Descriptors: Student Placement, Learning Activities, Learning Analytics, Cognitive Style
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Bottiani, Jessika H.; McDaniel, Heather L.; Henderson, Lora; Castillo, Jasmin E.; Bradshaw, Catherine P. – Grantee Submission, 2020
Background: Urban Black adolescents' wellbeing in the early high school years can be negatively impacted by exposure to racial discrimination. These impacts may be buffered by supportive relationships with adults at school. We considered both the protective and promotive effects of culturally responsive teachers and caring school police on school…
Descriptors: African American Students, High School Students, Urban Schools, Well Being
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Sulak, Tracey N. – Educational Studies, 2018
A positive school climate impacts students by promoting positive relations among students, staff and faculty of the school. The current study used latent class analysis and multinomial regression with R3STEP to analyse patterns of negative behaviours in schools and test the association of these patterns with structural variables like school size,…
Descriptors: Educational Environment, Regression (Statistics), Bullying, Student Behavior
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Pardos, Zachary A.; Horodyskyj, Lev – Journal of Learning Analytics, 2019
We introduce a novel approach to visualizing temporal clickstream behaviour in the context of a degree-satisfying online course, "Habitable Worlds," offered through Arizona State University. The current practice for visualizing behaviour within a digital learning environment is to generate plots based on hand-engineered or coded features…
Descriptors: Visualization, Online Courses, Course Descriptions, Data Analysis
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Grey, Simon; Gordon, Neil – New Directions in the Teaching of Physical Sciences, 2018
In this paper, we argue that, where we measure student attendance, this creates an extrinsic motivator in the form of a reward for (apparent) engagement and can thus lead to undesirable behaviour and outcomes. We go on to consider a number of other mechanisms to assess or encourage student engagement -- such as interactions with a learning…
Descriptors: Attendance, Measurement, Learner Engagement, Student Behavior
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Schwartz, Mila; Deeb, Inas; Hijazy, Sujoud – Journal of Multilingual and Multicultural Development, 2021
The aim of this study was to explore patterns of children's agency enactment in second-language learning as reflected in their language learning and social interactions in a bilingual Arabic-Hebrew-speaking classroom. We examined the connection between these behaviour patterns and the children's L2 progress in the bilingual classroom. The study…
Descriptors: Multilingualism, Second Language Learning, Second Language Instruction, Bilingual Education
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Liao, Yi-Wen; Huang, Yueh-Min; Huang, Shu-Hsien; Chen, Hsin-Chin; Wei, Chun-Wang – EURASIA Journal of Mathematics, Science and Technology Education, 2019
Social media or social networking sites have been used to support online learning with good interactive features. If an existing system can retain current users and attract new users, it can provide greater benefits and influence in the field of online learning. However, most previous studies focus on learner participation intention, and rarely…
Descriptors: Social Networks, Social Media, Online Courses, Models
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Hayek, Anne-Sophie; Toma, Claudia; Guidotti, Sofia; Oberlé, Dominique; Butera, Fabrizio – European Journal of Psychology of Education, 2017
At school, pupils often cooperate on common projects and must coordinate their different individual actions. However, grades are pervasively used even in cooperative situations, which make the pupils' differences in achievement and their relative rank salient and may reduce their inclination to work constructively with others. Thus, we…
Descriptors: Grades (Scholastic), Cooperative Learning, Group Dynamics, Group Behavior
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Lorenz, Kent A.; van der Mars, Hans; Kulinna, Pamela H.; Ainsworth, Barbara E.; Hovell, Melbourne F. – Journal of School Health, 2017
Background: Behavioral support may be effective in increasing physical activity (PA) in school settings. However, there are no data collection systems to concurrently record PA and behavioral support. This paper describes the development and validation of the System for Observing Behavioral Ecology for Youth in Schools (SOBEYS)--an instrument used…
Descriptors: Physical Activities, Educational Environment, Observation, Validity
Lowe, Heather – Educational Technology, 2016
Dartmouth and MIT have developed educational behavior apps and wearable devices that collect contiguous streams of data from student users. Given the consent of the user, the app collects information about a student's physical activity, sleep patterns, and location to form conjectures about social and academic behavior. These apps have the…
Descriptors: Student Behavior, Data Collection, Courseware, Behavior Patterns
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