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Li, Jieyu; Huang, Chunlan; Wang, Xiuhong; Wu, Shengli – Information Research: An International Electronic Journal, 2016
Introduction: In the big data age, we have to deal with a tremendous amount of information, which can be collected from various types of sources. For information search systems such as Web search engines or online digital libraries, the collection of documents becomes larger and larger. For some queries, an information search system needs to…
Descriptors: Search Engines, Data Processing, Database Management Systems, Data
Rihák, Jirí – International Educational Data Mining Society, 2015
In this work we introduce the system for adaptive practice of foundations of mathematics. Adaptivity of the system is primarily provided by selection of suitable tasks, which uses information from a domain model and a student model. The domain model does not use prerequisites but works with splitting skills to more concrete sub-skills. The student…
Descriptors: Mathematics Achievement, Mathematics Skills, Models, Reaction Time
Snow, Erica L. – International Educational Data Mining Society, 2015
Intelligent tutoring systems are adaptive learning environments designed to support individualized instruction. The adaptation embedded within these systems is often guided by user models that represent one or more aspects of students' domain knowledge, actions, or performance. The proposed project focuses on the development and testing of user…
Descriptors: Intelligent Tutoring Systems, Models, Individualized Instruction, Needs Assessment
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Boyer, Kristy Elizabeth; Phillips, Robert; Ingram, Amy; Ha, Eun Young; Wallis, Michael; Vouk, Mladen; Lester, James – International Journal of Artificial Intelligence in Education, 2011
Identifying effective tutorial dialogue strategies is a key issue for intelligent tutoring systems research. Human-human tutoring offers a valuable model for identifying effective tutorial strategies, but extracting them is a challenge because of the richness of human dialogue. This article addresses that challenge through a machine learning…
Descriptors: Markov Processes, Intelligent Tutoring Systems, Tutoring, Program Effectiveness
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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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Kovacevic, Aleksandar; Ivanovic, Dragan; Milosavljevic, Branko; Konjovic, Zora; Surla, Dusan – Program: Electronic Library and Information Systems, 2011
Purpose: The aim of this paper is to develop a system for automatic extraction of metadata from scientific papers in PDF format for the information system for monitoring the scientific research activity of the University of Novi Sad (CRIS UNS). Design/methodology/approach: The system is based on machine learning and performs automatic extraction…
Descriptors: Scientific Research, Library Administration, Classification, Information Science
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De Jong, Ton; And Others – Information Processing and Management, 1988
Describes a project aimed at developing a system to support managers of business software projects by incorporating knowledge acquisition and emphasizing the integration of the manager's tasks. The discussion covers the knowledge acquisition methodology, the architecture of an integrated system, and an overview of project management tasks. (15…
Descriptors: Business, Computer Software, Computer System Design, Data Processing
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Jackowski, Edward M. – Journal of Research on Computing in Education, 1988
Discusses the role that information resource management (IRM) plays in educational program-oriented budgeting (POB), and presents a theoretical IRM model. Highlights include design considerations for integrated data systems; database management systems (DBMS); and how POB data can be integrated to enhance its value and use within an educational…
Descriptors: Computer System Design, Data Processing, Database Management Systems, Educational Finance
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Yannakoudakis, E. J.; Tsionos, C. X.; Kapetis, C. A. – Journal of Documentation, 1999
Describes research aimed at investigating dynamically evolving database environments and corresponding schemata that allow storage and manipulation of variable length data, a variable number of fields per record, variable length records and fields, and dynamically defined objects. Proposes a new framework for dynamic database environments.…
Descriptors: Change, Computer System Design, Data Processing, Database Design
Pechenizkiy, Mykola; Calders, Toon; Conati, Cristina; Ventura, Sebastian; Romero, Cristobal; Stamper, John – International Working Group on Educational Data Mining, 2011
The 4th International Conference on Educational Data Mining (EDM 2011) brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large datasets to answer educational research questions. The conference, held in Eindhoven, The Netherlands, July 6-9, 2011, follows the three previous editions…
Descriptors: Academic Achievement, Logical Thinking, Profiles, Tutoring