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Showing 16 to 30 of 59 results Save | Export
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García, Isaías; Benavides, Carmen; Alaiz, Héctor; Alonso, Angel – Journal of Science Education and Technology, 2013
This paper describes research on the use of knowledge models (ontologies) for building computer-aided educational software in the field of control engineering. Ontologies are able to represent in the computer a very rich conceptual model of a given domain. This model can be used later for a number of purposes in different software applications. In…
Descriptors: Engineering Education, Taxonomy, Lexicography, Information Science
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Nowinski, Wieslaw L.; Thirunavuukarasuu, Arumugam; Ananthasubramaniam, Anand; Chua, Beng Choon; Qian, Guoyu; Nowinska, Natalia G.; Marchenko, Yevgen; Volkau, Ihar – Anatomical Sciences Education, 2009
Preparation of tests and student's assessment by the instructor are time consuming. We address these two tasks in neuroanatomy education by employing a digital media application with a three-dimensional (3D), interactive, fully segmented, and labeled brain atlas. The anatomical and vascular models in the atlas are linked to "Terminologia…
Descriptors: Student Evaluation, Atlases, Brain, Handheld Devices
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Blustein, James; Staveley, Mark S. – Annual Review of Information Science and Technology (ARIST), 2001
Focuses on methods of generating and evaluating hypertext. Highlights include historical landmarks; nonlinearity; literary hypertext; models of hypertext; manual, automatic, and semi-automatic generation of hypertext; mathematical models for hypertext evaluation, including computing coverage and correlation; human factors in evaluation; and…
Descriptors: Correlation, Evaluation Methods, Hypermedia, Literature Reviews
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Liu, Ming; Calvo, Rafael A.; Rus, Vasile – Educational Technology & Society, 2014
Critical review skill is one important aspect of academic writing. Generic trigger questions have been widely used to support this activity. When students have a concrete topic in mind, trigger questions are less effective if they are too general. This article presents a learning-to-rank based system which automatically generates specific trigger…
Descriptors: Electronic Learning, Natural Language Processing, Questioning Techniques, Classification
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Arendasy, Martin E.; Sommer, Markus – Intelligence, 2013
Allowing respondents to retake a cognitive ability test has shown to increase their test scores. Several theoretical models have been proposed to explain this effect, which make distinct assumptions regarding the measurement invariance of psychometric tests across test administration sessions with regard to narrower cognitive abilities and general…
Descriptors: Cognitive Tests, Testing, Repetition, Scores
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Luo, Junlong; Du, Xiumin; Tang, Xiaochen; Zhang, Entao; Li, Haijiang; Zhang, Qinglin – Creativity Research Journal, 2013
In this study, novel and old scientific innovations (NSI and OSI) were selected as materials to explore the electrophysiological correlates of scientific innovation induced by heuristic information. Using event-related brain potentials (ERPs) to do so, college students solved NSI problems (for which they did not know the answers) and OSI problems…
Descriptors: Correlation, Heuristics, Problem Solving, Undergraduate Students
McBride, Elizabeth Anne – ProQuest LLC, 2018
It is often claimed that engineering projects improve student achievement in mathematics and science, but research on this topic has shown that many projects do not live up to the claim (Teacher Advisory Council, 2009). Ideally, undertaking a science project should be motivating, while also helping students to understand the interplay between…
Descriptors: Science Instruction, Hands on Science, Scientific Concepts, Engineering Education
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Alsubait, Tahani; Parsia, Bijan; Sattler, Uli – Research in Learning Technology, 2012
Different computational models for generating analogies of the form "A is to B as C is to D" have been proposed over the past 35 years. However, analogy generation is a challenging problem that requires further research. In this article, we present a new approach for generating analogies in Multiple Choice Question (MCQ) format that can be used…
Descriptors: Computer Assisted Testing, Programming, Computer Software, Computer Software Evaluation
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Mendoza-Gonzalez, Ricardo, Ed. – IGI Global, 2016
In today's society, educational opportunities have evolved beyond the traditional classroom setting. Most universities have implemented virtual learning environments in an effort to provide more opportunities for potential or current students seeking alternative and more affordable learning solutions. "User-Centered Design Strategies for…
Descriptors: Online Courses, Curriculum Design, Virtual Classrooms, Best Practices
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Arendasy, Martin; Sommer, Markus; Hergovich, Andreas; Feldhammer, Martina – Learning and Individual Differences, 2011
The gender difference in three-dimensional mental rotation is well documented in the literature. In this article we combined automatic item generation, (quasi-)experimental research designs and item response theory models of change measurement to evaluate the effect of the ability to extract the depth information conveyed in the two-dimensional…
Descriptors: Spatial Ability, Visualization, Gender Differences, Quasiexperimental Design
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Arendasy, Martin E.; Sommer, Markus; Gittler, Georg – Intelligence, 2010
Marked gender differences in three-dimensional mental rotation have been broadly reported in the literature in the last few decades. Various theoretical models and accounts were used to explain the observed differences. Within the framework of linking item design features of mental rotation tasks to cognitive component processes associated with…
Descriptors: Cues, Females, Models, Protocol Analysis
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Stamper, John; Barnes, Tiffany; Croy, Marvin – International Journal of Artificial Intelligence in Education, 2011
The Hint Factory is an implementation of our novel method to automatically generate hints using past student data for a logic tutor. One disadvantage of the Hint Factory is the time needed to gather enough data on new problems in order to provide hints. In this paper we describe the use of expert sample solutions to "seed" the hint generation…
Descriptors: Cues, Prompting, Learning Strategies, Teaching Methods
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Barnes, Tiffany; Stamper, John – Educational Technology & Society, 2010
In building intelligent tutoring systems, it is critical to be able to understand and diagnose student responses in interactive problem solving. However, building this understanding into a computer-based intelligent tutor is a time-intensive process usually conducted by subject experts. Much of this time is spent in building production rules that…
Descriptors: Intelligent Tutoring Systems, Logical Thinking, Tutors, Probability
Stamper, John Carroll – ProQuest LLC, 2010
Intelligent Tutoring Systems (ITSs) that adapt to an individual student's needs have shown significant improvement in achievement over non-adaptive instruction (Murray 1999). This improvement occurs due to the individualized instruction and feedback that an ITS provides. In order to achieve the benefits that ITSs provide, we must find a way to…
Descriptors: Intelligent Tutoring Systems, Individualized Instruction, Adjustment (to Environment), Feedback (Response)
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Arendasy, Martin – International Journal of Testing, 2005
The future of test construction for certain psychological ability domains that can be analyzed well in a structured manner may lie--at the very least for reasons of test security--in the field of automatic item generation. In this context, a question that has not been explicitly addressed is whether it is possible to embed an item response theory…
Descriptors: Psychometrics, Spatial Ability, Quality Control, Item Response Theory
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