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Heller, Bob – Journal of Interactive Learning Research, 2017
The unstructured conversations of students who chatted with Freudbot in his Second Life virtual office over a 32-month period were examined in order to better understand the nature of the virtual relationship between students and conversational agents (CA) as historical figures. This research builds on past work that examined these conversations…
Descriptors: Computer Simulation, Computer Mediated Communication, Teaching Methods, Discourse Analysis
Hamrick, Phillip – Language Learning, 2014
Humans are remarkably sensitive to the statistical structure of language. However, different mechanisms have been proposed to account for such statistical sensitivities. The present study compared adult learning of syntax and the ability of two models of statistical learning to simulate human performance: Simple Recurrent Networks, which learn by…
Descriptors: Second Language Learning, Role, Syntax, Computational Linguistics
Lee, Kwang-Soon; Kim, Bong-Gyu – Educational Technology & Society, 2016
This study explores the positive learning effect of formulating English sentences via Social Network Service (SNS; "Kakao-Talk") on less proficient L2 university students' (LPSs') writing, when the application is utilized as a tool to link in and out-of class activities in a multimodal-learning environment. Its objective is also to…
Descriptors: Social Networks, Writing Instruction, English (Second Language), Second Language Learning
Carney, Timothy Jay – ProQuest LLC, 2012
A study design has been developed that employs a dual modeling approach to identify factors associated with facility-level cancer screening improvement and how this is mediated by the use of clinical decision support. This dual modeling approach combines principles of (1) Health Informatics, (2) Cancer Prevention and Control, (3) Health Services…
Descriptors: Cancer, Screening Tests, Prevention, Public Health
Pavlik, Philip I., Jr. – Journal of Educational Data Mining, 2013
This paper describes the development of a dynamical systems model of motivation and metacognition during learning, which explains some of the practically and theoretically important relationships among three student engagement constructs and performance metrics during learning. In order to better calibrate and understand the model, the model was…
Descriptors: Vocabulary Development, Learning Strategies, Predictor Variables, Scores