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Showing 1 to 15 of 16 results Save | Export
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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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Aleksandra Maslennikova; Daniela Rotelli; Anna Monreale – Journal of Learning Analytics, 2023
Students organize and manage their own learning time, choosing when, what, and how to study due to the flexibility of online learning. Each person has unique learning habits that define their behaviours and distinguish them from others. To investigate the temporal behaviour of students in online learning environments, we seek to identify suitable…
Descriptors: Learning Analytics, Online Courses, Time Management, Self Management
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Balti, Rihab; Hedhili, Aroua; Chaari, Wided Lejouad; Abed, Mourad – Education and Information Technologies, 2023
Since the COVID pandemic, universities propose online education to ensure learning continuity. However, the insufficient preparation led to a major drop in the learner's performance and his/her dissatisfaction with the learning experience. This may be due to several reasons, including the insensitivity of the virtual learning environment to the…
Descriptors: Cognitive Style, Pandemics, COVID-19, Distance Education
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Çebi, Ayça; Araújo, Rafael D.; Brusilovsky, Peter – Journal of Research on Technology in Education, 2023
Online learning systems allow learners to freely access learning contents and record their interactions throughout their engagement with the content. By using data mining techniques on the student log data of those systems, it is possible to examine learning behavior and reveal navigation patterns through learning contents. This study was aimed at…
Descriptors: Individual Characteristics, Electronic Learning, Student Behavior, Learning Management Systems
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Fatahi, Somayeh; Shabanali-Fami, Faezeh; Moradi, Hadi – Education and Information Technologies, 2018
The learning style of a learner is an important parameter in his learning process. Therefore, learning styles should be considered in the design, development, and implementation of e-learning environments to increase learners' performance. Thus, it is important to be able to automatically determine learning styles of learners in an e-learning…
Descriptors: Cognitive Style, Educational Technology, Technology Uses in Education, Student Behavior
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Cano, Francisco; Martin, Andrew J.; Ginns, Paul; Berbén, A. B. G. – Higher Education: The International Journal of Higher Education Research, 2018
The aim of this study was to test a process model of students' learning in higher education, linking anxiety, course experience (positive and negative), self-worth protection (SWP) (self-handicapping, defensive expectations, reflectivity), student approach to learning (SAL) (deep/surface), and achievement. Path and bootstrap analyses of data from…
Descriptors: Self Concept, Cognitive Style, College Freshmen, Correlation
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Teichert, Melonie A.; Schroeder, Maria J.; Lin, Shirley; Dillner, Debra K.; Komperda, Regis; Bunce, Diane M. – Journal of Chemical Education, 2020
On the basis of the results of two prior studies at the US Naval Academy (USNA), which described the choice of study resources and the self-reported learning approaches of students of differing achievement levels, the current investigation examines how students of differing achievement levels in general chemistry actually solve multiple-choice…
Descriptors: Problem Solving, Chemistry, Science Instruction, Science Tests
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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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Chung, Gregory K. W. K. – Teachers College Record, 2014
Background: Historically, significant advances in scientific understanding have followed advances in measurement and observation. As the resolving power of an instrument increased, so have gains in the understanding of the phenomena being observed. Modern interactive systems are potentially the new "microscopes" when they are…
Descriptors: Online Systems, Data Analysis, Data Collection, Data Interpretation
Bellucci, Jo-Ann E.; McGrane, Cindy L. – Journal of College Student Personnel, 1980
Extends previous work about certain cognitive/semantic environments and hypertension by demonstrating that three additional cognitive/semantic environments show a trend in the direction of elevated blood pressure in undergraduates. A position supporting coordinated preventive program development for potential hypertensives, emphasizing the use of…
Descriptors: Adjustment (to Environment), Behavior Patterns, Cognitive Style, College Students
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Spaulding, Robert L. – Journal of Classroom Interaction, 1978
The training of teachers in the use of six "classroom management schedules" designed to match the behavioral characteristics of various types of students is described. Treatment schedules are detailed, and results of their application by classroom teachers in eight case studies are discussed. (JMF)
Descriptors: Behavior Patterns, Classroom Techniques, Cognitive Style, Coping
Wallbrown, Fred H.; Blaha, John – Measurement and Evaluation in Guidance, 1981
Used stepwise regression procedures to determine classroom behaviors associated with eight dimensions of reading attitudes among inner-city fifth graders. Classroom behaviors were measured by teacher ratings. Results indicate seven of the eight dimensions of reading attitude showed a significant relationship with some aspect of classroom behavior.…
Descriptors: Behavior Patterns, Classroom Observation Techniques, Cognitive Style, Correlation
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Guilmet, George M. – Anthropology and Education Quarterly, 1979
Holds that differences observed in instructor attention to Navajo and Caucasian children are due to the contrasting verbal and nonverbal-visual styles displayed by the two groups. Offers an evaluation program which attempts to offset teachers' tendencies to attend differentially to children displaying diverse behavioral styles in the classroom.…
Descriptors: American Indians, Behavior Patterns, Cognitive Style, Cultural Differences
Mahlios, Marc C. – 1980
This study was concerned with investigating patterns of verbal interaction of teachers and students who were matched and mismatched in field dependent and field independent cognitive styles. The first objective was to answer the general research question: Is there a difference in the patterns of dyadic classroom interaction when the teacher and…
Descriptors: Academic Achievement, Behavior Patterns, Cognitive Style, Feedback
Neumann, Karl F.; And Others – 1978
The adequacy of Rosenberg's classification scheme, in which he divides children's learning characteristics into four styles, was investigated. Middle school students (N=377) were used as a sample, and their behavior was assessed by 30 teachers using the Learning Style Checklist. After intercorrelations of the 40 Checklist items were obtained, the…
Descriptors: Behavior Patterns, Cognitive Style, Factor Analysis, Grade 8
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