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Karumbaiah, Shamya; Zhang, Jiayi; Baker, Ryan S.; Scruggs, Richard; Cade, Whitney; Clements, Margaret; Lin, Shuqiong – International Educational Data Mining Society, 2022
Considerable amount of research in educational data mining has focused on developing efficient algorithms for Knowledge Tracing (KT). However, in practice, many real-world learning systems used at scale struggle to implement KT capabilities, especially if they weren't originally designed for it. One key challenge is to accurately label existing…
Descriptors: Artificial Intelligence, Middle School Students, Models, Concept Mapping
Dragos Corlatescu; Micah Watanabe; Stefan Ruseti; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2023
Reading comprehension is essential for both knowledge acquisition and memory reinforcement. Automated modeling of the comprehension process provides insights into the efficacy of specific texts as learning tools. This paper introduces an improved version of the Automated Model of Comprehension, version 3.0 (AMoC v3.0). AMoC v3.0 is based on two…
Descriptors: Reading Comprehension, Models, Concept Mapping, Graphs
Andrea Domínguez-Lara; Wulfrano Arturo Luna-Ramírez – International Association for Development of the Information Society, 2022
The automatic code generation is the process of generating source code snippets from a program, i.e., code for generating code. Its importance lies in facilitating software development, particularly important is helping in the implementation of software designs such as engineering diagrams, in such a case, automatic code generation copes with the…
Descriptors: Programming, Coding, Computer Software, Programming Languages
Onoue, Akira; Shimada, Atsushi; Minematsu, Tsubasa; Taniguchi, Rin-Ichiro – International Association for Development of the Information Society, 2019
This study aimed to cluster learners based on the structures of the knowledge maps they created. Learners drew their own knowledge maps to reflect their learning activities. Our system collected individual knowledge maps from many learners and clustered them to generate an integrated version of the knowledge maps of each cluster. We applied the…
Descriptors: Concept Mapping, Learning Processes, Cluster Grouping, Graphs
Picones, Gio; PaaBen, Benjamin; Koprinska, Irena; Yacef, Kalina – International Educational Data Mining Society, 2022
In this paper, we propose a novel approach to combine domain modelling and student modelling techniques in a single, automated pipeline which does not require expert knowledge and can be used to predict future student performance. Domain modelling techniques map questions to concepts and student modelling techniques generate a mastery score for a…
Descriptors: Prediction, Academic Achievement, Learning Analytics, Concept Mapping
Wlodarsky, Rachel – American Association for Adult and Continuing Education, 2021
Wlodarsky and Walters' study explored the reflective practices of college faculty, as they defined reflection and discussed processes, which they used to facilitate reflection on their professional development. A qualitative coding strategy was used, then an analytic concept mapping procedure described by Novak and Gowen (1984) was employed.…
Descriptors: College Faculty, Reflection, Teacher Attitudes, Faculty Development
Venant, Rémi; d'Aquin, Mathieu – International Educational Data Mining Society, 2019
The evaluation of text complexity is an important topic in education. While this objective has been addressed by approaches using lexical and syntactic analysis for decades, semantic complexity is less common, and the recent research works that tackle this question rely on machine learning algorithms that are hardly explainable and are not…
Descriptors: Semantics, Difficulty Level, Concept Mapping, Graphs
Popov, Nikolay – Bulgarian Comparative Education Society, 2012
In the past 20 years I have been examining the structures of school systems worldwide. This ongoing research has been enriched by the findings obtained from the lecture course on Comparative Education I have been delivering to students in the Bachelor and Master's Education Programs at Sofia University, Bulgaria. This paper presents some results…
Descriptors: Educational Practices, Comparative Education, Foreign Countries, Models
van der Merwe, C. A. – Journal of Institutional Research, 2011
Student retention is the field of institutional research that has (deservedly) had the most attention. Besides the models proposed by Tinto (1975, 1993), there have been many theoretical and applied papers on many aspects of student retention. These include demographic characteristics, scholastic scores, financial and residential considerations,…
Descriptors: Institutional Research, Academic Persistence, Outcome Measures, Systems Approach
Billings, Maralyn; Kunkel, Mark A. – 1991
None of the various organizational methods (archival, categorical, encyclopedic, taxonomic, and statistical) employed to organize, classify, and categorize research in counseling psychology has been able to capture a sense of the whole; none appreciates the relations among research topics. Concept mapping, a research method in which nonmetric…
Descriptors: Concept Mapping, Counseling, Models, Organization
Watson, Freda S.; Kromrey, Jeffrey D.; Hess, Melinda R. – 2003
EncStat is a multimedia program under development that is designed to identify students with statistics anxiety or negative attitudes towards statistics. The purpose of this study was to develop a conceptual model of the current state of knowledge related to statistics anxiety intervention and to use that model to catalog and evaluate the small…
Descriptors: Anxiety, Concept Mapping, Intervention, Literature Reviews

Ruiz-Primo, Maria Araceli; Shavelson, Richard J.; Li, Min; Schultz, Susan E. – Educational Assessment, 2001
Developed a framework for examining cognitive validity claims and used it to evaluate the validity of a "connected understanding" interpretation of three concept mapping techniques used by two teachers and six high school students. Results show that the three mapping techniques provide different pictures of student knowledge and suggest that…
Descriptors: Cognitive Processes, Concept Mapping, High School Students, High Schools
Priss, Uta; Old, John – Proceedings of the ASIS Annual Meeting, 1998
Presents a new technique for information access based on a combination of Geographic Information Systems (GIS) and conceptual structures as modeled in relational concept analysis. Describes a graphical interface that allows access of spatial, hierarchical, and linear data in a common manner; discusses its features and limits. (Author/AEF)
Descriptors: Access to Information, Computer Interfaces, Computer System Design, Concept Mapping
Posner, George J. – 1978
A model of human information processing is summarized and discussed in terms of the implications of the model and its associated technologies for curriculum research and development. Description of the model focuses on its input and output systems and its memory systems, i.e., long-term memory (LTM). Semantic networks are described as a…
Descriptors: Artificial Intelligence, Cognitive Objectives, Cognitive Processes, Concept Mapping
Pankratius, William J.; Keith, Thomas Mark – 1987
Perspectives on concept mapping and its benefits to students in the learning of scientific concepts are presented in this paper. A concept map is defined as a two-dimensional heirarchical representation of concepts which indicates the relationship between the selected concepts. Aspects of concept mapping addressed in this review include: (1) its…
Descriptors: Cognitive Processes, Concept Formation, Concept Mapping, Concept Teaching
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