Scarlet - Artificial Teaching Assistant

Karic, Ilhan; Music, Denis; Junuz, Emina; Mirza, Smajic

doi:10.1109/iccairo.2017.11

Cited by 11 publications

(11 citation statements)

References 2 publications

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“…Regarding RQ2, attempts on custom built AI assistants like Scarlet (Ilhan, 2017) and LTKA-Bot (Mulyana and Rifqy, 2018) and their usage in education are still in an early phase since Scarlet is not yet tested and LTKA-Bot is still under active development. The same applies for ProblemPal (Trivedi, 2018), an Alexa Skill that allows teachers to create practice content for their students for virtually any topic, since it is not tested yet.…”

Section: Discussionmentioning

confidence: 99%

“…In general, AI can be used in education in order to assist students in their learning process by providing fast and efficient information. For this purpose, Scarlet an Artificial Teaching Assistant is proposed by Ilhan et al (2017), although it is not tested in an educational environment yet. Scarlet is comprised by 3 modules: natural language processing, pseudo contextual data analysis and trial and error learning.…”

Section: Primary and Secondary Educationmentioning

confidence: 99%

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Voice Assistants and Smart Speakers in Everyday Life and in Education

Terzopoulos¹,

Satratzemi²

2020

Informatics in Education

107

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In recent years, Artificial Intelligence (AI) has shown significant progress and its potential is growing. An application area of AI is Natural Language Processing (NLP). Voice assistants incorporate AI by using cloud computing and can communicate with the users in natural language. Voice assistants are easy to use and thus there are millions of devices that incorporates them in households nowadays. Most common devices with voice assistants are smart speakers and they have just started to be used in schools and universities. The purpose of this paper is to study how voice assistants and smart speakers are used in everyday life and whether there is potential in order for them to be used for educational purposes.

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Section: Discussionmentioning

confidence: 99%

Section: Primary and Secondary Educationmentioning

confidence: 99%

Voice Assistants and Smart Speakers in Everyday Life and in Education

Terzopoulos¹,

Satratzemi²

2020

Informatics in Education

107

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“…There is one personal digital artificial teaching assistant named scarlet and its motive is to assist students in their process of learning and giving fast and efficient documents of the search along with learning materials. For further improvement in it Ilhan, K., et al (2017), have considered its limitations by taking feedback from society then proposed a metric based on the power-law that occurred in Zipfian distribution natural language [18]. It was able to work in any spoken language and uses the metric for deriving the context from data and then queries it for getting the best match from it.…”

Section: Related Workmentioning

confidence: 99%

Study of AI Techniques in Quality Educations: Challenges and Recent Progress

Verma

Kumar

Kohli³

2021

SN COMPUT. SCI.

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“…In the case of students, Oscar (Latham et al, 2010) is a conversational agent which mimics the behaviour of a normal tutor and selfadjusts to the learning style of the learner. In addition, Scarlet (Ilhan et al, 2017) is an artificial teacher assistant that uses natural language processing to provide learners with the materials they need to learn at a given moment.…”

Section: Conversational Agents For Educationmentioning

confidence: 99%

Adaptive learning module for a conversational agent to support MOOC learners

González-Castro

Muñoz‐Merino

Alario-Hoyos

et al. 2021

AJET

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Massive open online courses (MOOCs) pose a challenge for instructors when trying to provide personalised support to learners, due to large numbers of registered participants. Conversational agents can be of help to support learners when working with MOOCs. This article presents an adaptive learning module for JavaPAL, a conversational agent that complements a MOOC on Java programming, helping learners review the key concepts of the MOOC. This adaptive learning module adapts the difficulty of the questions provided to learners considering their level of knowledge using item response theory (IRT) and also provides recommendations of video fragments extracted from the MOOC for when learners fail questions. The adaptive learning module for JavaPAL has been evaluated showing good usability and learnability through the system usability scale (SUS), reasonably suitable video fragments recommendations for learners, and useful visualisations generated as part of the IRT-based adaptation of questions for instructors to better understand what is happening in the course, to design exams, and to redesign the course content.

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Scarlet - Artificial Teaching Assistant

Cited by 11 publications

References 2 publications

Voice Assistants and Smart Speakers in Everyday Life and in Education

Voice Assistants and Smart Speakers in Everyday Life and in Education

Study of AI Techniques in Quality Educations: Challenges and Recent Progress

Adaptive learning module for a conversational agent to support MOOC learners

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