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McLaren, Bruce M.; DeLeeuw, Krista E.; Mayer, Richard E. – Computers & Education, 2011
Should an intelligent software tutor be polite, in an effort to motivate and cajole students to learn, or should it use more direct language? If it should be polite, under what conditions? In a series of studies in different contexts (e.g., lab versus classroom) with a variety of students (e.g., low prior knowledge versus high prior knowledge),…
Descriptors: Feedback (Response), Test Items, Intervention, Intelligent Tutoring Systems
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Baker, Ryan S. J. d.; Corbett, Albert T.; Gowda, Sujith M. – Journal of Educational Psychology, 2013
Recently, there has been growing emphasis on supporting robust learning within intelligent tutoring systems, assessed by measures such as transfer to related skills, preparation for future learning, and longer term retention. It has been shown that different pedagogical strategies promote robust learning to different degrees. However, the student…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Genetics, Science Instruction
Association Supporting Computer Users in Education, 2018
The Association Supporting Computer Users in Education (ASCUE) is a group of people interested in small college computing issues. It is a blend of people from all over the country who use computers in their teaching, academic support, and administrative support functions. Begun in 1968 as the College and University Eleven-Thirty Users' Group…
Descriptors: Computer Uses in Education, Conferences (Gatherings), College Students, Portfolios (Background Materials)
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Biletskiy, Yevgen; Baghi, Hamidreza; Steele, Jarrett; Vovk, Ruslan – Interactive Technology and Smart Education, 2012
Purpose: Presently, searching the internet for learning material relevant to ones own interest continues to be a time-consuming task. Systems that can suggest learning material (learning objects) to a learner would reduce time spent searching for material, and enable the learner to spend more time for actual learning. The purpose of this paper is…
Descriptors: Internet, Search Engines, Online Searching, Electronic Libraries
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Freeman, Greta G.; Wash, Pamela D. – Journal on Excellence in College Teaching, 2013
Teaching in the digital age has become increasingly challenging for college and university faculty. Application, relevance, and active engagement rather than traditional PowerPoint slide show lectures are what our technology-savvy, socially networked students crave and need to keep their attention and interest levels high. Using a combination of…
Descriptors: College Faculty, College Students, Brain, Learner Engagement
Gonzales, Carol Kernitzki – ProQuest LLC, 2010
Many software development projects fail because they do not meet the needs of users, are over-budget, and abandoned. To address this problem, the user requirements elicitation process was modified based on principles of Appreciative Inquiry. Appreciative Inquiry, commonly used in organizational development, aims to build organizations, processes,…
Descriptors: Emotional Intelligence, Computer Software, Case Studies, Organizational Development
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Huang, Chang-Qin; Duan, Ru-Lin; Tang, Yong; Zhu, Zhi-Ting; Yan, Yong-Jian; Guo, Yu-Qing – International Journal of Distance Education Technologies, 2011
The semantic web brings a new opportunity for efficient information organization and search. To meet the special requirements of the educational field, this paper proposes an intelligent search engine enabled by educational semantic support service, where three kinds of searches are integrated into Educational Information Intelligent Search (EIIS)…
Descriptors: Foreign Countries, Search Engines, Educational Technology, Reaction Time
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Biddix, J. Patrick; Chung, Chung Joo; Park, Han Woo – Internet and Higher Education, 2011
The purpose of this study was to investigate where students turn for course-related assignments, whether an ordered pattern could be described in terms of which sources students turn to and how students evaluated the information they chose to use. Data were drawn from open-ended questionnaires (n = 282). Semantic network analysis was conducted…
Descriptors: Network Analysis, Information Literacy, Internet, Credibility
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Wang, Hao-Chuan; Rose, Carolyn P.; Chang, Chun-Yen – International Journal of Computer-Supported Collaborative Learning, 2011
This paper seeks to contribute new insight to the process of learning during idea generation (i.e., brainstorming) by proposing and evaluating two alternative operationalizations for learning, which we refer to as connection-based learning and multi-perspective learning, during a carefully designed idea-generation task in the earth-sciences…
Descriptors: Feedback (Response), Instructional Materials, Learning Processes, Brainstorming
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Nunes, Miguel Baptista, Ed.; McPherson, Maggie, Ed.; Kommers, Piet, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2017
These proceedings contain the papers of the International Conference e-Learning 2017, which was organised by the International Association for Development of the Information Society, 20-22 July, 2017. This conference is part of the Multi Conference on Computer Science and Information Systems 2017, 20-23 July, which had a total of 652 submissions.…
Descriptors: Electronic Learning, Online Courses, Teaching Methods, Information Literacy
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Pirnay-Dummer, Pablo; Walter, Satjawan – Technology, Instruction, Cognition and Learning, 2009
Using the theory of mental models to account for the process of human mental information processing and representation has become an important approach in the field of knowledge engineering. Most methods of knowledge assessment are based on graphical concept mapping techniques. Tools like MITOCAR complement the graphical approaches by…
Descriptors: Schemata (Cognition), Cognitive Processes, Natural Language Processing, Standards
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Miller, L. D.; Soh, Leen-Kiat; Samal, Ashok; Nugent, Gwen – International Journal of Artificial Intelligence in Education, 2012
Learning objects (LOs) are digital or non-digital entities used for learning, education or training commonly stored in repositories searchable by their associated metadata. Unfortunately, based on the current standards, such metadata is often missing or incorrectly entered making search difficult or impossible. In this paper, we investigate…
Descriptors: Computer Science Education, Metadata, Internet, Artificial Intelligence
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Hayen, Roger L. – Information Systems Education Journal, 2011
A national student competition problem in business intelligence (BI) is considered to foster an understanding of this competition and of the underlying case study problem used. The focus here is two-fold. First, is to illustrate this competition, and second, is to provide a case problem that can be considered for use in various information systems…
Descriptors: Business, Intelligence, Geographic Information Systems, Decision Making
Bitton, Ephrat – ProQuest LLC, 2011
This dissertation explores the use of geometric and graphical models for a variety of information search and filtering applications. These models serve to provide an intuitive understanding of the problem domains and as well as computational efficiencies to our solution approaches. We begin by considering a search and rescue scenario where both…
Descriptors: Safety, Opinions, Hypothesis Testing, Intuition
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Anwar, Mohd; Greer, Jim – International Journal of Artificial Intelligence in Education, 2012
An e-learning discussion forum, an essential component of today's e-learning systems, offers a platform for social learning activities. However, as learners participate in the discussion forum, privacy emerges as a major concern. Privacy concerns in social learning activities originate from one learner's inability to convey a desired presentation…
Descriptors: Foreign Countries, Electronic Learning, Socialization, Learning Activities
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