2019
DOI: 10.1016/j.chb.2017.07.006
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Continuous improvement of deaf student learning outcomes based on an adaptive learning system and an Academic Advisor Agent

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Cited by 21 publications
(16 citation statements)
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“…There have also been numerous studies on neural task dialogue systems that have sprung up as a result of the advancement of deep learning. It is divided into four sections: Natural Language Understanding (NLU), Dialog State Tracking (DST), Dialog Policy Learning (DPL), and Natural Language Generating (NLG) [ 18 24 ]. The conversation strategy, for example, is responsible for selecting the next action to be performed in accordance with the existing condition, and it plays a significant part in the task dialogue system.…”
Section: Introductionmentioning
confidence: 99%
“…There have also been numerous studies on neural task dialogue systems that have sprung up as a result of the advancement of deep learning. It is divided into four sections: Natural Language Understanding (NLU), Dialog State Tracking (DST), Dialog Policy Learning (DPL), and Natural Language Generating (NLG) [ 18 24 ]. The conversation strategy, for example, is responsible for selecting the next action to be performed in accordance with the existing condition, and it plays a significant part in the task dialogue system.…”
Section: Introductionmentioning
confidence: 99%
“…NASA-TLX could help to answer these questions in future research. A recent research attempted to measure mental workload to determine learners´ frustration regarding limitations of traditional teaching procedures (Hammami et al, 2019) by using NASA-TLX. Previous studies identified mental workload, among other factors, as crucial to examine how a course context is defined and perceived by the teachers in order to set a framework for instructional decision and practices (J.…”
Section: Academic Backgroundmentioning
confidence: 99%
“…Modification of the system to support students with visual impairments. That is because of the simplicity of the program suggested that helps it to work with learners with other disabilities [11]. In (2017), Shwan and Oğuzhan this paper tends to focus on web technologies and (information and communication technology) by Web to develop software that may utilize electronic-learning for hard-of-hearing children.…”
Section: Literature Reviewmentioning
confidence: 99%