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The Roles of Suprasegmental Features in Predicting English Oral Proficiency with an Automated System
Kang, Okim; Johnson, David – Language Assessment Quarterly, 2018
Suprasegmental features have received growing attention in the field of oral assessment. In this article we describe a set of computer algorithms that automatically scores the oral proficiency of non-native speakers using unconstrained English speech. The algorithms employ machine learning and 11 suprasegmental measures divided into four groups…
Descriptors: Suprasegmentals, Predictive Validity, Predictor Variables, Oral English
Mallchok, Malia M. – ProQuest LLC, 2017
The purpose of this qualitative design case study was to determine the design elements that can lead to technology acceptance of a mobile multimedia tour at an informal historical site. Using rapid prototyping, a tour prototype was developed using a low-cost Website building platform. The tour was then tested with thirteen participants in two…
Descriptors: Multimedia Materials, Electronic Learning, Qualitative Research, Historic Sites
Riofrio-Luzcando, Diego; Ramirez, Jaime; Berrocal-Lobo, Marta – IEEE Transactions on Learning Technologies, 2017
Data mining is known to have a potential for predicting user performance. However, there are few studies that explore its potential for predicting student behavior in a procedural training environment. This paper presents a collective student model, which is built from past student logs. These logs are first grouped into clusters. Then, an…
Descriptors: Student Behavior, Predictive Validity, Predictor Variables, Predictive Measurement