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Michelle Pauley Murphy; Woei Hung – TechTrends: Linking Research and Practice to Improve Learning, 2024
Constructing a consensus problem space from extensive qualitative data for an ill-structured real-life problem and expressing the result to a broader audience is challenging. To effectively communicate a complex problem space, visualization of that problem space must elucidate inter-causal relationships among the problem variables. In this…
Descriptors: Information Retrieval, Data Analysis, Pattern Recognition, Artificial Intelligence
Doroudi, Shayan; Holstein, Kenneth; Aleven, Vincent; Brunskill, Emma – Grantee Submission, 2016
How should a wide variety of educational activities be sequenced to maximize student learning? Although some experimental studies have addressed this question, educational data mining methods may be able to evaluate a wider range of possibilities and better handle many simultaneous sequencing constraints. We introduce Sequencing Constraint…
Descriptors: Sequential Learning, Data Collection, Information Retrieval, Evaluation Methods
Kiray, S. Ahmet; Gok, Bilge; Bozkir, A. Selman – Online Submission, 2015
The purpose of this article is to identify the order of significance of the variables that affect science and mathematics achievement in middle school students. For this aim, the study deals with the relationship between science and math in terms of different angles using the perspectives of multiple causes-single effect and of multiple…
Descriptors: Science Achievement, Mathematics Achievement, Information Retrieval, Data Analysis
Doroudi, Shayan; Holstein, Kenneth; Aleven, Vincent; Brunskill, Emma – International Educational Data Mining Society, 2015
The field of EDM has focused more on modeling student knowledge than on investigating what sequences of different activity types achieve good learning outcomes. In this paper we consider three activity types, targeting sense-making, induction and refinement, and fluency building. We investigate what mix of the three types might be most effective…
Descriptors: Information Retrieval, Data Analysis, Learning Activities, Grade 4
Feng, Mingyu, Ed.; Käser, Tanja, Ed.; Talukdar, Partha, Ed. – International Educational Data Mining Society, 2023
The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…
Descriptors: Information Retrieval, Data Analysis, Computer Assisted Testing, Cheating
Kiray, S. Ahmet; Gok, Bilge; Bozkir, A. Selman – Journal of Education in Science, Environment and Health, 2015
The purpose of this article is to identify the order of significance of the variables that affect science and mathematics achievement in middle school students. For this aim, the study deals with the relationship between science and math in terms of different angles using the perspectives of multiple causes-single effect and of multiple…
Descriptors: Science Achievement, Information Retrieval, Data Analysis, Middle School Students
Shafat, Gabriel; Levin, Ilya – International Association for Development of the Information Society, 2012
This paper deals with two types of logical problems--recognition problems and reverse engineering problems, and with the interrelations between these types of problems. The recognition problems are modeled in the form of a visual representation of various objects in a common pattern, with a composition of represented objects in the pattern.…
Descriptors: Foreign Countries, Information Seeking, Online Searching, Search Strategies
Kuo, Fan-Ray; Hwang, Gwo-Jen; Chen, Szu-Chuang; Chen, Sherry Y. – Educational Technology & Society, 2012
Enhancing students' problem-solving abilities has been recognized as an important and challenging issue for technology-enhanced learning. Thus, previous research has attempted to address this issue by developing various mechanisms, among which a cognitive apprenticeship model can particularly enhance students' abilities. However, it is not clear…
Descriptors: Apprenticeships, Cognitive Style, Problem Solving, Cooperative Learning
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
Revere, Debra; Fuller, Sherrilynne S.; Bugni, Paul F.; Martin, George M. – Proceedings of the ASIST Annual Meeting, 2003
The Telemakus System builds on the areas of concept representation, schema theory, and information visualization to enhance knowledge discovery from scientific literature. This article describes the underlying theories and an overview of a working implementation designed to enhance the knowledge discovery process through retrieval, visual and…
Descriptors: Computer System Design, Information Retrieval, Information Services, Information Systems

Sieber, Sam D. – Journal of Research and Development in Education, 1973
Discussed the Pilot State Dissemination Program, undertaken as a try-out of an educational extension and retrieval system on a sufficiently large scale to derive guidelines for future projects at the state level. (Author/RK)
Descriptors: Computer Programs, Extension Education, Guidelines, Information Retrieval

Wilson, Tom – Information Processing & Management, 1999
Reviews models of information behavior and introduces a model based on the goal-directed behavior of problem solving. A key part of the information seeking and searching process, 'uncertainty reduction,' is being explored in a project supported by the British Library Research and Innovation Center. Preliminary results from the pilot phase of the…
Descriptors: Behavior, Foreign Countries, Information Retrieval, Information Seeking
Salton, G.; And Others – 1974
Most existing automatic content analysis and indexing techniques are based on work frequency characteristics applied largely in an ad hoc manner. Contradictory requirements arise in this connection, in that terms exhibiting high occurrence frequencies in individual documents are often useful for high recall performance (to retrieve many relevant…
Descriptors: Automatic Indexing, Automation, Content Analysis, Discriminant Analysis

Rubinstein, Moshe F.; Firstenberg, Iris R. – New Directions for Teaching and Learning, 1987
The goal of problem-solving education should be to develop tools for thinking that will constitute a shell or framework of action procedures that can be applied on an ever-changing database. These tools come in the form of heuristics that can be modified and adapted to new situations. (Author/MLW)
Descriptors: Cognitive Processes, Computers, Critical Thinking, Heuristics
BAKER, FRANK B. – 1967
IF COMPUTER PROGRAMS ARE TO SERVE AS USEFUL MODELS OF COGNITIVE BEHAVIOR, THEIR CREATORS MUST FACE THE NEED TO ESTABLISH AN INTERNAL ORGANIZATION FOR THEIR MODEL WHICH IMPLEMENTS THE HIGHER LEVEL COGNITIVE BEHAVIORS ASSOCIATED WITH THE HUMAN CAPACITY FOR SELF-DIRECTION, AUTOCRITICISM, AND ADAPTATION. PRESENT COMPUTER MODELS OF COGNITIVE BEHAVIOR…
Descriptors: Behavior, Cognitive Processes, Computer Programs, Computers
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