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Showing 1 to 15 of 22 results Save | Export
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Hatice Yildiz Durak – Education and Information Technologies, 2025
Feedback is critical in providing personalized information about educational processes and supporting their performance in online collaborative learning environments. However, giving effective feedback and monitoring its effects, which is especially important in online environments, is a complex issue. Although providing feedback by analyzing…
Descriptors: Feedback (Response), Online Systems, Electronic Learning, Learning Analytics
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Shi Pu; Yu Yan; Brandon Zhang – Journal of Educational Data Mining, 2024
We propose a novel model, Wide & Deep Item Response Theory (Wide & Deep IRT), to predict the correctness of students' responses to questions using historical clickstream data. This model combines the strengths of conventional Item Response Theory (IRT) models and Wide & Deep Learning for Recommender Systems. By leveraging clickstream…
Descriptors: Prediction, Success, Data Analysis, Learning Analytics
Rina Levy Cohen – ProQuest LLC, 2022
The aim of this study was to examine the relationship between common classroom help-seeking determinants (achievement goals, self-efficacy, prior knowledge, gender, and help-seeking perceptions) and help-seeking behaviors online (hint use percentage, latency of help seeking, answer attempt percentage, feedback level percentage, and seeking help…
Descriptors: Correlation, Help Seeking, Self Efficacy, Prior Learning
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Kim, Jeonghyun; Jo, Il-Hyun; Park, Yeonjeong – Asia Pacific Education Review, 2016
The learning analytics dashboard (LAD) is a newly developed learning support tool for virtual classrooms that is believed to allow students to review their online learning behavior patterns intuitively through the provision of visual information. The purpose of this study was to empirically validate the effects of LAD. An experimental study was…
Descriptors: Correlation, Computer Simulation, Online Courses, Behavior Patterns
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
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Liu, Ming-Tsung; Yu, Pao-Ta – Educational Technology & Society, 2011
A personalized e-learning service provides learning content to fit learners' individual differences. Learning achievements are influenced by cognitive as well as non-cognitive factors such as mood, motivation, interest, and personal styles. This paper proposes the Learning Caution Indexes (LCI) to detect aberrant learning patterns. The philosophy…
Descriptors: Electronic Learning, Statistics, Tutoring, Computer Assisted Instruction
Crosser, Sandra – Early Childhood News, 1996
Presents a case study illustrating learned helplessness orientation in preschool children and how adult responses to a child's successes and failures directly influence a child's perception of his or her abilities. Suggests that teachers should compliment successes by highlighting the ability demonstrated and address failures with comments…
Descriptors: Ability, Academic Achievement, Behavior Patterns, Case Studies
Gabrys, Robert E. – 1979
This study was designed to see if preservice elementary teachers having undergone a training intervention on business-like behavior can significantly increase their observable level of business-like behavior and maintain the level of increase ten weeks after training. The observed level of warmth was also monitored in relationship to the training…
Descriptors: Academic Achievement, Behavior Patterns, Elementary School Teachers, Responses
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Hill, Kennedy T. – Young Children, 1971
This article details some of the developmental patterns that characterize the child's experiences with anxiety about being evaluated. (Author)
Descriptors: Academic Achievement, Anxiety, Behavior Patterns, Longitudinal Studies
OTTO, WAYNE – 1966
THIS PAPER SUMMARIZED THE RESULTS OF SEVERAL STUDIES CONDUCTED BY THE AUTHOR TO (1) INVESTIGATE THE GENERALITY OF THE RELATIONSHIP BETWEEN REACTIVE INHIBITION AND ACHIEVEMENT AND (2) DETERMINE FACTORS THAT AFFECT INHIBITORY POTENTIAL. THESE STUDIES WERE MADE WITH A VARIETY OF SAMPLE GROUPS. RELATIONSHIPS BETWEEN REACTIVE INHIBITION AND ACHIEVEMENT…
Descriptors: Academic Achievement, Anxiety, Behavior Patterns, Child Development
Katz, Harvey A.; And Others – 1967
The study makes use of Rotter's (1966) hypothesis that there are consistent individual differences between people who believe in the internal control of reinforcement and those who believe in the external control of reinforcement. Students who are "internals" will believe that their behavior controls academic successes and failures and may,…
Descriptors: Academic Achievement, Behavior, Behavior Patterns, College Students
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Haynes, Linda E.; Kanfer, Frederick H. – Psychological Reports, 1971
Descriptors: Academic Achievement, Behavior Patterns, Elementary School Students, Feedback
Spivack, George – 1973
The concept of behavioral effectiveness and why it is important to understand and measure relative to what teachers do and the way classrooms are designed are discussed. Aspects covered include the following: (1) which classroom behaviors relate to learning and how they are organized; (2) the significance of classroom behavior as the first thing…
Descriptors: Academic Achievement, Behavior Change, Behavior Patterns, Classroom Design
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Hawkins, David B.; Horowitz, Herbert – Perceptual and Motor Skills, 1971
Descriptors: Academic Achievement, Behavior Patterns, Behavioral Science Research, Body Image
Sweeney, Christopher J.; and others – J Psychol, 1970
Descriptors: Academic Achievement, Achievement Tests, Anxiety, Behavior Patterns
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