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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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Zulham – Journal of Social Studies Education Research, 2022
This study investigates the role between public behavior and the social function of the National Legal Education for the online loan literacy case. The scope of the research includes community behavior integrated with technology and consumer education concerning business law regarding Self Evaluation and Protection of Personal Information in the…
Descriptors: Public Opinion, Behavior Patterns, Role, Law Related Education
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Lin, Jian-Wei – Journal of Computer Assisted Learning, 2019
Team-based learning (TBL) stresses applying knowledge rather than absorbing knowledge in class; studies have investigated the use of TBL and its merits in different teaching courses (e.g., medical science and business). TBL is most effective when students learn autonomously before class. However, the ability of autonomous learning is highly…
Descriptors: Teamwork, Metacognition, Learning Strategies, Knowledge Level
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Liu, Ming; Pardo, Abelardo; Liu, Li – International Journal of Distance Education Technologies, 2017
Online collaborative writing tools provide an efficient way to complete a writing task. However, existing tools only focus on technological affordances and ignore the importance of social affordances in a collaborative learning environment. This article describes a learning analytic system that analyzes writing behaviors, and creates…
Descriptors: Collaborative Writing, Learner Engagement, Student Attitudes, Visualization
Kim, Keehyung – ProQuest LLC, 2016
This dissertation, which comprises three independent essays, explores the dynamics of online user behavior and provides IS policy implications across three different applications. The first essay employs an econometric empirical analysis to examine the role of IT interventions on online users' gambling behavior, based on field data collected over…
Descriptors: Online Systems, Behavior Patterns, Use Studies, Users (Information)
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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
Liu, Tung-Hsuan – ProQuest LLC, 2012
In the early years of online retailing, having an online presence and low prices were believed to be key drivers of success. More recently, electronic service quality has become essential as an online marketing strategy. Online stores provide higher service quality to create online customer loyalty, improve customer satisfaction, and keep a…
Descriptors: Online Systems, Purchasing, Intention, Retailing
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Fenichel, Carol Hansen – Online Review, 1980
Five groups of searchers each performed searches using ONTAP ERIC to identify behaviors that differentiate among degrees of experience, and between searches of familiar and unfamiliar databases. Results showed that, compared to the experienced subjects, novices performed surprisingly well. Eight references are listed. (Author/SW)
Descriptors: Behavior Patterns, Databases, Experience, Online Systems
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Borman, Lorraine; Mittman, Benjamin – Journal of the American Society for Information Science, 1972
The question of how a scholar can be induced to take advantage of computer technology and capabilities in his search for information is the subject of this paper. Students accept on-line bibliographic searching more readily than research workers. (6 references (Author/SJ)
Descriptors: Behavior Patterns, Computers, Information Seeking, Information Utilization
Penniman, W. David – 1981
This investigation of search patterns associated with the MEDLINE database had four primary objectives: (1) to refine the stochastic process method of evaluating user behavior; (2) to examine user search behavior exhibited when selecting documents sets; (3) to identify factors that affect the patterns of user behavior; and (4) to use data from the…
Descriptors: Behavior Patterns, Databases, Information Retrieval, Information Systems
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Kraft, Donald H.; Waller, W. G. – Information Processing and Management, 1981
Presents a dynamic model of user behavior when scanning an information storage and retrieval system output list, compares rules for determining the user's optimum stopping point, presents an algorithm for implementing the Bayesian model, and discusses implications for retrieval system design. Provided are 13 figures and 15 references. (Author/RBF)
Descriptors: Algorithms, Bayesian Statistics, Behavior Patterns, Graphs
Hochheiser, Harry; Shneiderman, Ben – Proceedings of the ASIS Annual Meeting, 1999
Describes the use of Spotfire, a starfield visualization tool, to generate interactive visualizations of log data, ranging from aggregate views of all Web site hits in a time interval to close-ups that approximate the path of a user through a site. Highlights current efforts and provides examples of the visualizations created in Spotfire.…
Descriptors: Behavior Patterns, Computer System Design, Data Collection, Improvement
Kantor, Paul B.; Nordlie, Ragnar – Proceedings of the ASIS Annual Meeting, 1999
Illustrates how various key abstractions of information finding, such as document relevance, a desired number of relevant documents, discouragement, exhaustion, and satisfaction can be modeled using the Petri Net framework. Shows that this model leads naturally to a new approach to collection of user data, and to analysis of transaction logs.…
Descriptors: Behavior Patterns, Document Delivery, Information Retrieval, Information Seeking