Talk2Learn: A Framework for Chatbot Learning

Bahja, Mohammed; Hammad, Rawad; Hassouna, M. Sabry

doi:10.1007/978-3-030-29736-7_44

Cited by 11 publications

(6 citation statements)

References 4 publications

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“…This work will be further developed to detect fake news that might impact the validity of information published on social media [31]. Also, there is a plan to generalize this model to capture opinion outside pandemic domain, e.g., measuring the impact of using educational chatbots [32] on students' performance or the role of online learning to substitute school learning.…”

Section: Discussionmentioning

confidence: 99%

Capturing Public Concerns About Coronavirus Using Arabic Tweets: An NLP-Driven Approach

Bahja

Hammad

Kuhail

2020

2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC)

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This In order to analyze the people reactions and opinions about Coronavirus (COVID-19), there is a need for computational framework, which leverages machine learning (ML) and natural language processing (NLP) techniques to identify COVID tweets and further categorize these in to disease specific feelings to address societal concerns related to Safety, Worriedness, and Irony of COVID. This is an ongoing study, and the purpose of this paper is to demonstrate the initial results of determining the relevancy of the tweets and what Arabic speaking people were tweeting about the three disease related feelings/emotions about COVID: Safety, Worry, and Irony. A combination of ML and NLP techniques are used for determining what Arabic speaking people are tweeting about COVID. A two-stage classifier system was built to find relevant tweets about COVID, and then the tweets were categorized into three categories. Results indicated that the number of tweets by males and females were similar. The classification performance was high for relevancy (F=0.85), categorization (F=0.79). Our study has demonstrated how categories of discussion on Twitter about an epidemic can be discovered so that officials can understand specific societal concerns related to the emotions and feelings related to the epidemic.

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Section: Discussionmentioning

confidence: 99%

Capturing Public Concerns About Coronavirus Using Arabic Tweets: An NLP-Driven Approach

Bahja

Hammad

Kuhail

2020

2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC)

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“…(2) to support the training and use of a newly introduced educational application; and (3) to improve the processing of helpdesk requests within a university department. Other studies [32,33] have identified more possibilities for the use of chatbots in online education in the future for facilitating personalized and self-paced learning practices.…”

Section: Chatbotsmentioning

confidence: 99%

Embracing Technological Change in Higher Education

Bahja¹,

Kuhail²,

Hammad³

2022

Higher Education - New Approaches to Accreditation, Digitalization, and Globalization in the Age of Covid

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Access to information has never been easier, thanks to the rapid development of the internet and communication technologies, and the ubiquity of smartphones and other internet-enabled devices. In traditional classroom learning, teachers provide students with various sources of information that are known to be reliable. Nowadays, especially in a post-pandemic era, students increasingly rely on a host of resources available on the internet. Exposure to vast amounts of scattered information could adversely affect students’ learning process. Meanwhile, pedagogical approaches, classroom learning practices, and student learning activities have evolved significantly to cope with contemporary challenges. This study reviews the current learning practices and the technological interventions in a rapidly evolving higher education landscape. In particular, the challenges when integrating technology into higher education are considered in detail and ways put forward for doing so in that context.

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“…For Natural Language Processing Applications in Business DOI: http://dx.doi.org/10.5772/intechopen.92203 learning of language-related subjects, it can enhance teaching by focusing on reading, writing and speaking. In general, it can support the needs of students, teachers and researchers [40][41][42][52][53][54][55][56][57][58][59][60][61][62][63][64][65][66][67][68][69][70][71]. Language assessment (formative and summative) is one of the upcoming major areas of NLP application, being used for assessing student's proficiency in reading, writing and speaking (e.g., automated scoring system for assessing/grading essays using NLP techniques).…”

Section: Nlp In Educationmentioning

confidence: 99%

“…One of its current uses pertains to the chatbot/virtual assistant applications that are used for various purposes, including teaching, training, tutoring and assessment in the education sector. Chatbots can also be integrated with gaming technologies, which promotes an active learner environment in the E-Learning context, with virtual characters or avatars [56][57][58][59][60][61][62][63][64][65][66][67][68][69][70][71]. The chatbot application, similar to E-Learning resources, also fosters students' engagement in learning activities by motivating them and gaining their attention by using innovative media features [57].…”

Section: Nlp In Educationmentioning

confidence: 99%

Natural Language Processing Applications in Business

Bahja¹

2021

E-Business - Higher Education and Intelligence Applications

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Increasing dependency of humans on computer-assisted systems has led to researchers focusing on more effective communication technologies that can mimic human interactions as well as understand natural languages and human emotions. The problem of information overload in every sector, including business, healthcare, education etc., has led to an increase in unstructured data, which is considered not to be useful. Natural language processing (NLP) in this context is one of the effective technologies that can be integrated with advanced technologies, such as machine learning, artificial intelligence, and deep learning, to improve the process of understanding and processing the natural language. This can enable humancomputer interaction in a more effective way as well as allow for the analysis and formatting of large volumes of unusable and unstructured data/text in various industries. This will deliver meaningful outcomes that can enhance decision-making and thus improve operational efficiency. Focusing on this aspect, this chapter explains the concept of NLP, its history and development, while also reviewing its application in various industrial sectors.

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Talk2Learn: A Framework for Chatbot Learning

Cited by 11 publications

References 4 publications

Capturing Public Concerns About Coronavirus Using Arabic Tweets: An NLP-Driven Approach

Capturing Public Concerns About Coronavirus Using Arabic Tweets: An NLP-Driven Approach

Embracing Technological Change in Higher Education

Natural Language Processing Applications in Business

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