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Araka, Eric; Oboko, Robert; Maina, Elizaphan; Gitonga, Rhoda – International Review of Research in Open and Distributed Learning, 2022
With the increased emphasis on the benefits of self-regulated learning (SRL), it is important to make use of the huge amounts of educational data generated from online learning environments to identify the appropriate educational data mining (EDM) techniques that can help explore and understand online learners' behavioral patterns. Understanding…
Descriptors: Data Analysis, Metacognition, Comparative Analysis, Behavior Patterns
Hagopian, Louis P. – Journal of Applied Behavior Analysis, 2020
Single-case experimental designs (SCEDs) have proven invaluable in research and practice because they are optimal for asking many experimental questions relevant to the analysis of behavior. The consecutive controlled case series (CCCS) is a type of study in which a SCED is employed in a series of consecutively encountered cases that undergo a…
Descriptors: Case Studies, Data Analysis, Behavior Patterns, Clinical Diagnosis
Gafarov, Fail M.; Nikolaev, Konstantin S.; Ustin, Pavel N.; Berdnikov, Andrey A.; Zakharova, Valeria L.; Reznichenko, Sergey A. – EURASIA Journal of Mathematics, Science and Technology Education, 2021
The development and improvement of effective tools for predicting human behavior in real life through the features of its virtual activity opens up broad prospects for psychological support of the individual. The presence of such tools can be used by psychologists in educational, professional and other areas in the formation of trajectories of…
Descriptors: Social Media, Social Networks, Behavior Patterns, Prediction
Robert L. Peach; Sophia N. Yaliraki; David Lefevre; Mauricio Barahona – npj Science of Learning, 2019
The widespread adoption of online courses opens opportunities for analysing learner behaviour and optimising web-based learning adapted to observed usage. Here, we introduce a mathematical framework for the analysis of time-series of online learner engagement, which allows the identification of clusters of learners with similar online temporal…
Descriptors: Learning Analytics, Web Based Instruction, Online Courses, Learner Engagement
Bendjebar, Safia; Lafifi, Yacine; Zedadra, Amina – International Journal of Distance Education Technologies, 2016
In e-learning systems, tutors have a significant impact on learners' life to increase their knowledge level and to make the learning process more effective. They are characterized by different features. Therefore, identifying tutoring styles is a critical step in understanding the preference of tutors on how to organize and help the learners. In…
Descriptors: Tutors, Tutoring, Tutor Training, Tutorial Programs
Geigle, Chase – ProQuest LLC, 2018
There are two primary challenges for instructors in offering a high-quality course at large scale. The first is scaling educational experiences to such a large audience. The second major challenge encountered is that of enabling adaptivity of the educational experience. This thesis addresses both major challenges in the way of high-quality…
Descriptors: Barriers, Educational Quality, Computer Assisted Testing, Educational Experience
Kinnebrew, John S.; Biswas, Gautam – International Educational Data Mining Society, 2012
Our learning-by-teaching environment, Betty's Brain, captures a wealth of data on students' learning interactions as they teach a virtual agent. This paper extends an exploratory data mining methodology for assessing and comparing students' learning behaviors from these interaction traces. The core algorithm employs sequence mining techniques to…
Descriptors: Teaching Methods, Mathematics, Behavior Patterns, Academic Achievement
Castera, Jeremy; Sarapuu, Tago; Clement, Pierre – Journal of Biological Education, 2013
Innatism is the belief that most of the human personality can be determined by genes. This ideology is dangerous, especially when it claims to be scientific. The present study investigates conceptions of 1060 students from Estonia and France related to genetic determinism of some human behaviours. Factors taken into account included students'…
Descriptors: Student Attitudes, Gender Differences, Genetics, Foreign Countries
Kim, Sung-il.; Lee, Myung-Jin; Chung, Yoonkyung; Bong, Mimi – Contemporary Educational Psychology, 2010
The patterns of brain activation during norm-referenced and criterion-referenced feedback were compared, using the functional magnetic resonance imaging (fMRI). Twenty-two healthy right-handed individuals performed a series of perceptual judgment tasks while their brain activity was recorded. The participants responded to a performance-approach…
Descriptors: Feedback (Response), Statistical Data, Brain, Teaching Methods
Meany-Daboul, Maeve G.; Roscoe, Eileen M.; Bourret, Jason C.; Ahearn, William H. – Journal of Applied Behavior Analysis, 2007
In the current study, momentary time sampling (MTS) and partial-interval recording (PIR) were compared to continuous-duration recording of stereotypy and to the frequency of self-injury during a treatment analysis to determine whether the recording method affected data interpretation. Five previously conducted treatment analysis data sets were…
Descriptors: Sampling, Intervals, Research Methodology, Data Interpretation
Walsh, W. Bruce – J Counseling Psychol, 1969
Results suggest that method of collecting data is not associated with accuracy of self-report. (Author)
Descriptors: Behavior Patterns, Comparative Analysis, Data Analysis, Data Collection
Good, Thomas; Brophy, Jere E. – 1972
In a replication and extension of work by Silberman (1969), differential teacher behavior toward different students was studied in relation to the attitudes teachers held toward those students. Using data on dyadic teacher-child interactions collected with the Brophy-Good system, contrasting patterns were noted in the ways teachers interacted with…
Descriptors: Behavior Patterns, Comparative Analysis, Data Analysis, Data Collection
Dale, John H., Jr. – 1972
An investigation into the characteristics of individuals who participate, and those who do not participate, in group counseling activities was conducted. The purpose of the study was to study the possible significance of sibling position as a behavioral determinant in an adult's life with respect to participation. A survey questionnaire was mailed…
Descriptors: Age, Behavior Patterns, Birth Order, Comparative Analysis
Cutler, Neal E.; Mimms, Georgeana E. – 1977
The study explored the effect of membership in nonpolitical voluntary associations upon the degree of political activity of members. In particular, the authors asked whether or not these effects were found in a relatively uniform pattern across different age groups. On the basis of the reported levels of political discussion in 14 types of…
Descriptors: Age Groups, Behavior Patterns, Comparative Analysis, Data Analysis
Peer reviewedFurnham, Adrian; Henderson, Monika – Journal of Clinical Psychology, 1982
Content analyzed four personality inventories, Eysenck Personality Questionnaire, Minnesota Multiphasic Personality Inventory, California Personality Inventory, and Edwards Personality Preference Schedule to determine whether each item in the four inventories contained situational, temporal, or comparative information. Wide differences appeared…
Descriptors: Behavior Patterns, Comparative Analysis, Data Analysis, Item Analysis

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