NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20250
Since 20240
Since 2021 (last 5 years)0
Since 2016 (last 10 years)3
Since 2006 (last 20 years)12
Audience
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 18 results Save | Export
Nikelshpur, Dmitry O. – ProQuest LLC, 2014
Similar to mammalian brains, Artificial Neural Networks (ANN) are universal approximators, capable of yielding near-optimal solutions to a wide assortment of problems. ANNs are used in many fields including medicine, internet security, engineering, retail, robotics, warfare, intelligence control, and finance. "ANNs have a tendency to get…
Descriptors: Artificial Intelligence, Networks, Computation, Topology
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Jakab, Imrich; Ševcík, Michal; Grežo, Henrich – Electronic Journal of e-Learning, 2017
The methods of geospatial data processing are being continually innovated, and universities that are focused on educating experts in Environmental Science should reflect this reality with an elaborate and purpose-built modernization of the education process, education content, as well as learning conditions. Geographic Information Systems (GIS)…
Descriptors: Models, Higher Education, Geographic Information Systems, Environmental Education
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – Grantee Submission, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – International Educational Data Mining Society, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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)
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
Aikin, Marvin C.; Duff, William L., Jr.
The process of dealing with real world problems often requires solutions that would not be totally acceptable in the world of "pure" scientific research. A systems analytic viewpoint demands that everything possible be done to define the constraints of the system and that the procedures used to construct a model out of imperfect data be specified.…
Descriptors: Data, Data Collection, Data Processing, Decision Making
Peer reviewed Peer reviewed
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
Chachra, Vinod; Heterick, Robert C. – CAUSE/EFFECT, 1982
The decision support system (DSS) environment, the functional requirements of a DSS, and the architectural requirements of the computer systems and communications network necessary to support a DSS are discussed. Changes in the computing environment that are necessary to implement decision support systems are suggested. (Author/MLW)
Descriptors: Computer Science, Computers, Data Processing, Decision Making
Aanstoos, Christopher M. – 1985
In this paper the theory that human thinking proceeds according to the computer model, or symbol manipulation, is reviewed and challenged. The research used as subjects five highly rated tournament chess players who "thought aloud" during a chess game to provide tape recorded protocols of decisions made while playing. These protocols…
Descriptors: Cognitive Processes, Cognitive Style, Computer Science, Computer Simulation
Kommers, Piet, Ed.; Issa, Tomayess, Ed.; Issa, Theodora, Ed.; McKay, Elspeth, Ed.; Isias, Pedro, Ed. – International Association for Development of the Information Society, 2016
These proceedings contain the papers and posters of the International Conferences on Internet Technologies & Society (ITS 2016), Educational Technologies (ICEduTech 2016) and Sustainability, Technology and Education (STE 2016), which have been organised by the International Association for Development of the Information Society and…
Descriptors: Conferences (Gatherings), Foreign Countries, Internet, Educational Technology
International Business Machines Corp., White Plains, NY. – 1967
Preliminary specifications of major equipment and programing systems characteristics for a remote terminal central computing facility serving 25-75 secondary schools are presented. Estimation techniques developed in a previous feasibility study were used to delineate workload demands for four model regions with different numbers of institutions…
Descriptors: Centralization, Computer Oriented Programs, Computer Storage Devices, Computers
Previous Page | Next Page »
Pages: 1  |  2