SignMT: An alternative language learning tool

Ditcharoen, Nadh; Naruedomkul, Kanlaya; Cercone, Nick

doi:10.1016/j.compedu.2009.12.009

Cited by 25 publications

(15 citation statements)

References 3 publications

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“…ICT can be a good tool for adapting teaching to children with different abilities and characteristics [5]; this has been demonstrated in previous research proving that the use of ICT benefits cognitive development [6] and motivation [7] in students with SN and their peers, as well as improves the literacy [8], communication [5], [9] and social skills [10], [11], [12], [13] of students with different types of SN. Research findings indicate progress in the cognitive and affective-social domain and correlate it with motivation, collaboration, flexible time management, diversity of learning methods, and autonomy in learning.…”

Section: Introductionmentioning

confidence: 99%

Information Communication Technology Use among Students in Inclusive Classrooms

Bagon¹,

Gačnik²,

Starčič

2018

Int. J. Emerg. Technol. Learn.

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Abstract-Inclusion has brought diversity into 21st-century classrooms and introduced challenges for teachers who must adapt their teaching to diverse groups of children. Related research findings indicate that information and communication technology (ICT) can be used to provide personalized learning and support inclusion. Our research compared the school-and leisure-related computer use of students in inclusive classrooms. The frequency of computer use, types of ICT-supported activities, and attitudes toward computer use were examined. Consistent with those of previous studies, our findings show that students with special needs (SN) and their peers use computers more frequently for leisure activities than for school activities. Compared with their peers, students with SN use computers less frequently and are more resistant to computer use. No correlation was found between the presence of SN and a student's desire to use a computer or a student's opinion on whether computer use improves learning success. A comparison of male and female students revealed that boys use computers more frequently, and have a stronger belief that computer use improves learning success. This study discusses ICT integration in inclusive classrooms for personalized learning in all domains of learning, the cognitive, affective-social, and psychomotor domains. The main conclusions derived from the study inform teachers in planning their ICT integration for cognitive, social and emotional scaffolding of students in inclusive classrooms.Keywords-information and communication technology (ICT), inclusive class, students with special needs 56

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Section: Introductionmentioning

confidence: 99%

Information Communication Technology Use among Students in Inclusive Classrooms

Bagon¹,

Gačnik²,

Starčič

2018

Int. J. Emerg. Technol. Learn.

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show abstract

“…Another CALL system is SignMT, presented in [5], which tries to translate sentences/phrases from different sources in four steps, which are word transformation, word constraint, word addiction and word ordering. Another computer-based program on second language acquisition is Diglot Reader, presented in [4], which is used in a way that students may read a native language text with second language vocabulary and grammatical structures increasingly embedded within the text.…”

Section: B Computer Assisted Language Learning (Call)mentioning

confidence: 99%

Multiple parameter cluster analysis in a multiple language learning system

2013

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In this paper, we present our multiple parameter cluster analysis in our multiple language learning system. Towards this direction, we have used algorithmic approaches residing in the field of machine learning. Multiple parameter cluster analysis is conducted by the kmeans clustering algorithm which takes as input seven important users' characteristics in order to initialize the process. The clustering is conducted by k-means clustering algorithm, which takes as input multiple user characteristics. The incorporation of k-means clustering is used to address several barriers posed by the heterogeneous learning audience of educational systems. After determining in which cluster each new student belongs, the system can reason about this specific student, adapting its behavior to the student's needs, performance and preferences.

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“…It can give relevant feedback through articulatory animation and error trends grouping. SignMT was implemented by (Ditcharoen et al 2010) to translate sentences and phrases from different sources in four steps, which are word transformation, word constraint, word addiction and word ordering. Another computer-based program on second language acquisition is Diglot Reader, which was developed by (Christensen et al 2007) and is used in a way that students may read a native language text with second language vocabulary and grammatical structures increasingly embedded within the text.…”

Section: Related Workmentioning

confidence: 99%

Comulang: towards a collaborative e-learning system that supports student group modeling

2013

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This paper describes an e-learning system that is expected to further enhance the educational process in computer-based tutoring systems by incorporating collaboration between students and work in groups. The resulting system is called “Comulang” while as a test bed for its effectiveness a multiple language learning system is used. Collaboration is supported by a user modeling module that is responsible for the initial creation of student clusters, where, as a next step, working groups of students are created. A machine learning clustering algorithm works towards group formatting, so that co-operations between students from different clusters are attained. One of the resulting system’s basic aims is to provide efficient student groups whose limitations and capabilities are well balanced.

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SignMT: An alternative language learning tool

Cited by 25 publications

References 3 publications

Information Communication Technology Use among Students in Inclusive Classrooms

Information Communication Technology Use among Students in Inclusive Classrooms

Multiple parameter cluster analysis in a multiple language learning system

Comulang: towards a collaborative e-learning system that supports student group modeling

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