Intelligent Tutoring System for learning English punctuation

Kurup, Lakshmi; Joshi, Abhijit; Shekhokar, Narendra

doi:10.1109/iccubea.2016.7860019

Cited by 4 publications

(6 citation statements)

References 6 publications

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“…• A study of relevant research papers and literature reviews relating to graphical programming for programming [27], [45], [30]. • A study of relevant research papers and literature reviews relating to the internet of things, [31], [32], [33], [34], [35], [36], supporting students learning with course content [46], [37], [38] as well as the development and assessment of embedded system efficiency. • A synthesis of graphical intelligent tutoring systems using the internet of things for developing the efficiency of embedded systems.…”

Section: Methodsmentioning

confidence: 99%

“…They are also used in several sectors including education, agriculture, industry, medicine, security as well as in electrical and electronic appliances and robot technology [37]. With significant growth in and minimal re-design of such devices, embedded systems can be integrated into sensors [38] which are easy to use due to their small physical size. Memory units in microcontrollers can be used for multiple purposes and meet many individual needs while increasing the capacity for such devices through software.…”

Section: Embedded System Competencymentioning

confidence: 99%

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Analysis of an Intelligent Graphical Tutoring System using the Internet of Things (IoT) to Develop the Competency of Embedded Systems

2019

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<p class="0abstract">The objectives of this research are to analyse and assess an intelligent graphical tutoring system using the internet of things (IoT) to develop the efficiency of embedded systems. The research findings suggest that an intelligent system is composed of six modules: 1) student, 2) graphical tutoring, 3) expert, 4) knowledge, 5) evaluation and 6) user interface. The result of a composition assessment performed by experts indicates that the overall results are at a high level. The system suitability scored the highest level which can be applied to real life situations.</p>

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Section: Methodsmentioning

confidence: 99%

Section: Embedded System Competencymentioning

confidence: 99%

Analysis of an Intelligent Graphical Tutoring System using the Internet of Things (IoT) to Develop the Competency of Embedded Systems

2019

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“…Those works provide meaningful insights into the main problems and possible solutions in future works. Since the use of punctuation is a critical evaluation factor for pupils and second language learns, different works evaluate students' punctuation automatically or manually in English [Kurup et al 2016b, ONeill and Russell 2019, Im 2021]. However, as far as went our research none of them evaluate the use of punctuation by students in Brazilian Portuguese automatically or manually.…”

Section: Punctuation Analysismentioning

confidence: 97%

“…Despite its importance, the literature shows that correct punctuation is a significant problem for pupils and second language learners [Awad 2012]. Therefore, several studies have proposed algorithms and models to analyze the main errors made by pupils and second language learners, aiming to build automatic assistance software to help them [Kurup et al 2016a]. In this context, Natural Language Processing (NLP) has significantly developed punctuation verification models [Sahami et al 2011].…”

Section: Introductionmentioning

confidence: 99%

Automatic Punctuation Verification of School Students’ Essay in Portuguese

de Lima,

Rodrigues,

Macario

et al. 2023

Anais Do XX Encontro Nacional De Inteligência Artificial E Computacional (ENIAC 2023)

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Textual production is a key activity at different levels of education. The analysis of essays encompasses several criteria, such as lexical and syntactic errors, cohesion, and coherence. Within these criteria, how the students include punctuation (i.e., final mark and comma) could influence the quality of the final production. Thus, the literature has proposed several approaches to verifying punctuation correction in students’ essays for English. However, despite the advancements in natural language processing models for other languages, there is a significant gap concerning punctuation verification. Therefore, this paper proposed a new approach based on state-of-the-art language models to develop a punctuation prediction method for Portuguese. The proposed model was applied to evaluate the textual productions of students in Brazilian public schools. Finally, the results of this study and its practical implications for educational settings are further discussed.

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“…ITS are generally used in a specialized manner and usually cover only certain subject areas of disciplines in terms of content. In foreign language acquisition, for example, ITS are used to practice the rules of punctuation or in law to practice argumentation strategies [9,10]. The use of ITS can be seen as a supportive measure to practice specific processes or subject areas and to apply them in depth [11].…”

Section: Learning Support By Intelligent Tutoring Systemsmentioning

confidence: 99%

Intelligent Tutoring System as a Tool of Formative Assessment in Design Education

Hoppe¹,

Gembarski²,

Lachmayer³

2021

DS 110: Proceedings of the 23rd International Conference on Engineering and Product Design Education (EPDE 2021)

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In times of increasing digitalization, universities are turning to digital media to promote effective learning. In addition to comprehensive learning platforms, on which learning materials and communication options are offered, interactive and adaptive learning programs are also being developed in many subject areas. These so-called intelligent tutoring systems are used as a lecture-accompanying tool to make lessons more varied and thus more efficient. This paper reports on the use of an intelligent tutoring system that was embedded as a formative assessment tool in computer-aided design education. The system was used by over a hundred-second semester mechanical engineering students to prepare for a design course. The obtained system data is evaluated and then discussed. As a result, it is shown that an intelligent tutoring system within the framework of formative assessment can help students complete open design tasks and lead them to a valid solution through supportive feedback. Furthermore, this paper presents the use of the system data to improve the course by detecting and evaluating knowledge gaps and misconceptions of the students.

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Intelligent Tutoring System for learning English punctuation

Cited by 4 publications

References 6 publications

Analysis of an Intelligent Graphical Tutoring System using the Internet of Things (IoT) to Develop the Competency of Embedded Systems

Analysis of an Intelligent Graphical Tutoring System using the Internet of Things (IoT) to Develop the Competency of Embedded Systems

Automatic Punctuation Verification of School Students’ Essay in Portuguese

Intelligent Tutoring System as a Tool of Formative Assessment in Design Education

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