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Olivares-Rodríguez, Cristian; Guenaga, Mariluz – International Educational Data Mining Society, 2015
Creativity is a relevant skill for human beings in order to overcome complex problems and reach novel solutions based on unexpected associations of concepts. Thus, the education of creativity becomes relevant, but there are not tools to automatically track the creative potential of learners over time. This work provides a novel set of behavioural…
Descriptors: Creativity, Associative Learning, Accuracy, Classification
Wu, Charley M.; Meder, Björn; Filimon, Flavia; Nelson, Jonathan D. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
While the influence of presentation formats have been widely studied in Bayesian reasoning tasks, we present the first systematic investigation of how presentation formats influence information search decisions. Four experiments were conducted across different probabilistic environments, where subjects (N = 2,858) chose between 2 possible search…
Descriptors: Questioning Techniques, Information Seeking, Search Strategies, Search Engines
Sabitha, Sai; Mehrotra, Deepti; Bansal, Abhay – Electronic Journal of e-Learning, 2015
The most important dimension of learning is the content, and a Learning Management System (LMS) suffices this to a certain extent. The present day LMS are designed to primarily address issues like ease of use, search, content and performance. Many surveys had been conducted to identify the essential features required for the improvement of LMS,…
Descriptors: Convergent Thinking, Management Systems, Integrated Learning Systems, Knowledge Management
Strecht, Pedro; Cruz, Luís; Soares, Carlos; Mendes-Moreira, João; Abreu, Rui – International Educational Data Mining Society, 2015
Predicting the success or failure of a student in a course or program is a problem that has recently been addressed using data mining techniques. In this paper we evaluate some of the most popular classification and regression algorithms on this problem. We address two problems: prediction of approval/failure and prediction of grade. The former is…
Descriptors: Comparative Analysis, Classification, Regression (Statistics), Mathematics
Smith, Marlene A.; Kellogg, Deborah L. – Decision Sciences Journal of Innovative Education, 2015
This article describes a predictive model that assesses whether a student will have greater perceived learning in group assignments or in individual work. The model produces correct classifications 87.5% of the time. The research is notable in that it is the first in the education literature to adopt a predictive modeling methodology using data…
Descriptors: Group Activities, Assignments, Cooperative Learning, Individual Activities
Mahnane, Lamia; Tayeb, Laskri Mohamed; Trigano, Philippe – International Journal of Information and Communication Technology Education, 2013
Recent years have shown increasing awareness for the importance of adaptivity in e-learning. Since the learning style of each learner is different. Adaptive e-learning hypermedia system (AEHS) must fit different learner's needs. A number of AEHS have been developed to support learning styles as a source for adaptation. However, these systems…
Descriptors: Electronic Learning, Hypermedia, Cognitive Style, Knowledge Level
Huang, Tien-Chi – International Education Studies, 2013
To evoke public emphasis on the professional skills training in vocational education, the Ministry of Education (MOE) in Taiwan has recently focused on the certificate of information skills. However, the lack of a systematic and institutionally certified instructor training model within Taiwan not only varies the quality of certified instructors,…
Descriptors: Foreign Countries, Teacher Certification, Information Skills, Teacher Education
Baschera, Gian-Marco; Gross, Markus – International Journal of Artificial Intelligence in Education, 2010
We present an inference algorithm for perturbation models based on Poisson regression. The algorithm is designed to handle unclassified input with multiple errors described by independent mal-rules. This knowledge representation provides an intelligent tutoring system with local and global information about a student, such as error classification…
Descriptors: Foreign Countries, Spelling, Intelligent Tutoring Systems, Prediction