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Peer reviewed
Direct linkYu, Chen; Smith, Linda B. – Psychological Review, 2012
Both adults and young children possess powerful statistical computation capabilities--they can infer the referent of a word from highly ambiguous contexts involving many words and many referents by aggregating cross-situational statistical information across contexts. This ability has been explained by models of hypothesis testing and by models of…
Descriptors: Testing, Associative Learning, Hypothesis Testing, Adults
Lee, Yi-Hsuan; Hsieh, Yi-Chuan; Chen, Yen-Hsun – Behaviour & Information Technology, 2013
The purpose of this study is to apply the technology acceptance model to examine the employees' attitudes and acceptance of electronic learning (e-learning) systems in organisations. This study examines four factors (organisational support, computer self-efficacy, prior experience and task equivocality) that are believed to influence employees'…
Descriptors: Electronic Learning, Investigations, Technology Uses in Education, Employee Attitudes
Mulder, Yvonne G.; Lazonder, Ard W.; de Jong, Ton – International Journal of Science Education, 2010
Inquiry learning environments increasingly incorporate modelling facilities for students to articulate their research hypotheses and (acquired) domain knowledge. This study compared performance success and scientific reasoning of university students with high prior knowledge (n = 11), students from senior high-school (n = 10), and junior…
Descriptors: Inquiry, Educational Environment, Models, Prior Learning
Download full textRoss, Steven M.; And Others – 1990
Designed to develop a more practical model for adapting context to learner interests, this study used computer-based instruction to make alternative contexts for statistics problems--sports, business, education, or no-context--available for selection by individual learners. The subjects were 227 undergraduate students enrolled in required…
Descriptors: Academic Achievement, Computer Assisted Instruction, Higher Education, Hypothesis Testing
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
