Proposal of conversational chatbots for educational remediation in the context of covid-19

Gaglo, Kokou; Dégboé, Bessan Melckior; Kossingou, Ghislain Mervyl; Ouya, Samuel

doi:10.23919/icact51234.2021.9370946

Cited by 20 publications

(9 citation statements)

References 14 publications

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“…This is also supportive of Yang and Evan's (2019) research of the incorporation of Natural Language Processing (NLP) features in MERLIN that help simulate conversations between humans, making it more relatable and useful to the learner. By being able to converse easily with MERLIN, students were more amenable to exploring the topic and delving deeper into the content, and is consistent with research by Gaglo, Degboe, Kossingou, and Ouya (2021).…”

Section: Overall Am Very Keen On the Idea Of Having A Virtual Assista...supporting

confidence: 70%

“…According to the Horizon Reports 2019 (Alexander, Ashford-Rowe, Barajas-Murph, Dobbin, Knott, McCormack, Pomerantz, Seilhamer and Weber, 2019) and 2020 (Brown, McCormack, Reeves, Brook, Grajek, Alexander, Bali, Bulger, Dark, Engelbert and Gannon, 2020), mixed reality, adaptive learning, and AI (Artificial Intelligence) machine learning, are some of the technologies posited to emerge to enhance the learning processes. Research in AI has shown there is good potential in the use of chatbots as teaching and learning agents (Winkler and Sollner, 2018;Tsidylo, Samborskiy, Mazur and Zamoroz 2020;Gaglo, Degboe, Kossingou, and Ouya, 2021). Using Artificial Intelligent (AI) chatbots when students are studying online, without the presence of the teacher, will increase the support they will receive during those times.…”

Section: Overviewmentioning

confidence: 99%

“…In other words, shifting to online learning should not only deliver course materials online, but to also provide proper support and interaction opportunities during times when they are not online with the lecturer. There is growing evidence that chatbots are being utilised in the classrooms to support the student learning process (Winkler and Sollner, 2018;Sandu and Gide, 2020;Gaglo, Degboe, Kossingou, and Ouya, 2021) and would be conducive to scaffolding students when learning online without the lecturer present (Armstrong, 2017;Yang and Evans, 2019). As such, this paper seeks to investigate the impact of using an AI chatbot with Natural Language Processing (NLP) features integrated into a course that was taught online.…”

Section: Introductionmentioning

confidence: 99%

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The Merlin Project: Malaysian Students’ Acceptance of an Ai Chatbot in Their Learning Process

Neo

2022

Turkish Online Journal of Distance Education

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The COVID-19 pandemic has accelerated the educational landscape of institutions of higher education, which were predominantly face-to-face. In Malaysia, many universities converted their courses into online courses to keep up with the challenges of working from home during the pandemic, using web technologies and blended learning approaches. However, there are challenges in ensuring students’ attention and retention rates are maintained and enough support and scaffolding are provided to them when they are learning online. As such, the MERLIN Project was undertaken to develop a virtual learning assistant that would provide online support to students outside of their online classes. The project used Artificial Intelligence (AI) technology with Natural Language Processing (NLP) features to develop a chatbot that simulated human-like conversation between chatbot and students. Content in the learning environment was media-rich and mapped to Mayer’s 12 Multimedia Learning Principles. Data from 102 students was collected to gauge their perceptions and feedback. Results showed that students found the chatbot to be helpful in their learning process and improved their understanding of the course material. A conceptual learning framework for the use of AI chatbots as learning assistants is proposed to improve students’ online learning experiences in the new normal.

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Section: Overall Am Very Keen On the Idea Of Having A Virtual Assista...supporting

confidence: 70%

Section: Overviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Merlin Project: Malaysian Students’ Acceptance of an Ai Chatbot in Their Learning Process

Neo

2022

Turkish Online Journal of Distance Education

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“…On the topic of the educational distance imposed by the Covid-19, to support students in self-training, a chatbot was proposed using NLP techniques [17]. The proposed solution involves sending a message to Moodle [1] by the student.…”

Section: Related Workmentioning

confidence: 99%

SENECA: An Attention Support Tool for Context-related Content Learning

Auriemma¹

2021

JVLC

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In this paper, we suggest SENECA, a tool that attempts to assist students who follow remote classes in maintaining/capturing attention, allowing them to focus on context-driven learning. Distance education has a number of disadvantages, including a lack of physical interaction between students and teachers, emotional and motivational isolation as a result of this strategy, and a reduction in active engagement. All of these things have an impact on student learning abilities. The largest distractions at home are considered among these disadvantages of distant education, particularly for subjects with low awareness. These distractions cause a movement of the student's attention from the current lesson to disturbing events. For this reason, there is a need to experiment with new solutions also linked to Information Technology (IT) to improve the focused learning during distance education. Our tool's technical idea is to create a real-time summary of the topic treated by the teacher. The system captures the text every five minutes, generates outlines, and browses them to eliminate repetitive portions after each survey. We looked at two different sorts of filters, semantic and summary, to see if the first could distinguish between topics and the second could evaluate the topic's highlights. Natural Language Processing algorithms are used to extract categories and keywords from the general generated summary. The latter will emphasize the most important points of the speech, while the keywords will be utilized to extract the candidate literature about the discussed topics.

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“…On the topic of the educational distance imposed by the Covid-19, to support students in self-training, a chatbot was proposed using NLP techniques [16]. The proposed solu-tion involves sending a message to Moodle [1] by the student.…”

Section: Related Workmentioning

confidence: 99%

SENECA: An Attention Support Tool for Context-related Content Learning

Auriemma¹

2021

International Conferences on Distributed Multimedia Systems

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In this work, we proposed a tool named SENECA that aims to help the students who follow remote lessons to maintain/capture attention, allowing them to focus on learning led by the context. Among the disadvantages of distance education, especially for subjects who lack awareness, the greatest distractions at home are counted. These distractions cause a movement of the student's attention from the current lesson to disturbing events. For this reason, there is a need to experiment with new solutions also linked to Information Technology (IT) to improve the focused learning during distance education. Our tool's technical idea is to create a real-time summary of the topic treated by the teacher. The system captures the text every five minutes, generates outlines, and scratches them and browses them to eliminate repetitive portions after each survey. On the general generated summary, Natural Language Processing techniques are applied to extract categories and keywords. The latter will show the highlights of the speech.

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Proposal of conversational chatbots for educational remediation in the context of covid-19

Cited by 20 publications

References 14 publications

The Merlin Project: Malaysian Students’ Acceptance of an Ai Chatbot in Their Learning Process

The Merlin Project: Malaysian Students’ Acceptance of an Ai Chatbot in Their Learning Process

SENECA: An Attention Support Tool for Context-related Content Learning

SENECA: An Attention Support Tool for Context-related Content Learning

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