Gamification of Personalized Learning Through Massive Open Online Courses: Learner-to-AI Enabled Chatbot

Another example is the use of speech recognition technology to improve language learning. AI-based language learning apps like Duolingo use speech recognition technology to analyze learners’ pronunciation and provide instant feedback. This interactive and engaging approach helps learners improve their speaking skills. AI chatbot solution for e-learning environments is my final year project advised by professor Dit-Yan Yeung.

• Interacting with peers and teachers is vital for students’ growth, and hands-on learning opportunities are hard to replicate through AI-based tools.
• Ask the bot to translate specific words, phrases, exercises, and quizzes to a language you’re more familiar with.
• MOOC refers to online course that involves learners in learning process, offers a way for learners to connect and collaborate, and provides a platform where course materials are shared among learners.
• ChatGPT and other intelligent machines allow traditional educational institutions to embrace technology and use it to enhance their teaching methods.
• A basic chatbot can help learners decide what training to select from or even provide just-in-time (JIT) training.
• In a next step, you select, using your company account, when  which  chat is to be  sent.

Students are eager to embrace new technologies in education, such as chatbots with personality, which could provide them mindful experiences. With changing educational curriculums, textbooks are replaced data-driven and customised learning methodologies. Artificial Intelligence is rapidly developing in the emerging technical world with every passing day. This rapid increases is enhancing learning efficiency, redesigning learning patterns while reducing high priced infrastructure costs by shifting data activities to cloud based infrastructure. At the time when Indian Schools have started to focus on Audio-Video learning, technologies like Big Data, Chatbots, AI and Machine Learning are creatively taking over some of the advanced schools in the world. Chatbots do have the potential to completely change the way students learn new things.

Streamline learning and development processes

Smutny and Schreiberova (2020) examined chatbots as a learning aid for Facebook Messenger. Okonkwo and Ade-Ibijola (2021) analyzed the main benefits and challenges of implementing chatbots in an educational setting. The COVID-19 pandemic has dramatically changed the educational landscape around the world, offering the premises for the rise of eLearning, where teaching is undertaken remotely on digital platforms. Educational institutions’ main stakeholders (teachers, pupils/students, and parents) are confronted with bottlenecks as they entirely move to online education. EdTech market growth is characterized by shifts in technological demands and innovation, a propensity to integrate AI chatbots in both teaching and learning processes, and a user-centric product development strategy. Remote education involves a lot of time invested in finding answers to a wide range of educational issues.

In addition, thanks to their automated responses, they are becoming effective in language classes (Smutny and Schreiberova, 2020). This mini-review aims to identify major research trends, models, and theories and provide specific pedagogical implications for teaching when using chatbots in EFL classes. This study follows the guidelines of the PRISMA methodology and searches for open-access empirical studies in two reputable databases, Web of Science and Scopus.

What is artificial intelligence in training, and why do we need it?

The goal of chatbot for eLearning is to establish an automatic communication channel with the users in order to provide first-hand attention and speed up the process, not only for the admin users but also for the learners. Conversational commerce is a growing trend in eCommerce, where businesses use chatbots and messaging platforms to communicate with their customers in real-time. It has become an important tool metadialog.com for businesses to connect with their customers and provide personalized experiences. By adopting best practices for Conversational commerce, businesses can increase customer engagement, improve customer satisfaction, and ultimately drive sales. A similar training methodology was offered by the well-known Duolingo platform. To prepare users for potential circumstances, the chatbot mimics a real native speaker.

In some cases, the teaching agent started the conversation by asking the students to watch educational videos (Qin et al., 2020) followed by a discussion about the videos. In other cases, the teaching agent started the conversation by asking students to reflect on past learning (Song et al., 2017). Other studies discussed a scenario-based approach to teaching with teaching agents (Latham et al., 2011; D’mello & Graesser, 2013).

Help & Support

Within the Fourth Industrial Revolution, one of the problems that companies frequently encounter to secure their products and services over time is the need for continuous training of employees. If continuing education is a problem, e-learning could be a natural solution through chatbot learning. REVE Chat offers a chatbot solution for the education industry that allows students to connect with their teachers and administrators and get proper assistance thus facilitating  faster learning and better engagement.

• For environmentalists and prospective buyers on a tight schedule, the chatbot is a knight in shining armor.
• Additionally, unlike people, chatbots have endless patience and are unbothered with the number of times the same student asks the same question.
• None of the studies discussed the platforms on which the chatbots run, while only one study (Wollny et al., 2021) analyzed the educational roles the chatbots are playing.
• They can ask about courses processes, questions about the LMS performance, features, grades, etc.
• The chatbot assesses every student’s level of understanding and then provides them with the following parts of a lecture according to their progress.
• Chatbot users not only remembered more of the key leadership training objectives, but they were also more likely to take action on those training objectives.

By using chatbots that are driven by AI, course creators are able to switch from the typical graphical user interface engagement to a conversational user interface. AI powered chatbots may now predict users’ concerns as they progress through courses or complete exercises. AI chatbots create an automated communication channel with the students, assist them in finding solutions, and speed up the learning process throughout the courses. Chatbots in e-learning are used to increase the interactivity of learning, help learners organize their studying process and provide them with real-time insights. In the future, chatbots’ role can be expanded to tutoring, quizzing, knowledge assessment, and even creation of new studying methods. A chatbot can encourage social learning by assigning group tasks or projects to students just like teachers do in class.

How Are Others Using ChatGPT or Battling It?

With the fierce competition, it can be tricky to get learners to choose your service. ChatBot helps you stand from the crowd with its quick and easy user interface – resulting in more interest and opportunities. SGD (Schema-Guided Dialogue) dataset, containing over 16k of multi-domain conversations covering 16 domains. Our dataset exceeds the size of existing task-oriented dialog corpora, while highlighting the challenges of creating large-scale virtual wizards. It provides a challenging test bed for a number of tasks, including language comprehension, slot filling, dialog status monitoring, and response generation.

With more than 100,000 question-answer pairs on more than 500 articles, SQuAD is significantly larger than previous reading comprehension datasets. SQuAD2.0 combines the 100,000 questions from SQuAD1.1 with more than 50,000 new unanswered questions written in a contradictory manner by crowd workers to look like answered questions. It consists of more than 36,000 pairs of automatically generated questions and answers from approximately 20,000 unique recipes with step-by-step instructions and images. QASC is a question-and-answer data set that focuses on sentence composition. It consists of 9,980 8-channel multiple-choice questions on elementary school science (8,134 train, 926 dev, 920 test), and is accompanied by a corpus of 17M sentences. The possibilities are endless and we can’t wait to see how learners like you use this tool to take their skills to new heights.

How to accelerate your learning with Udacity’s AI chatbot

We have drawn up the final list of the best conversational data sets to form a chatbot, broken down into question-answer data, customer support data, dialog data, and multilingual data. The gist of the exclusion criteria indicates that this study excluded all types of review studies, qualitative studies, and short studies like theoretical studies, conference proceedings, and case studies. It also did not consider non-open access and studies published in databases other than Scopus and Web of Science. Finally, studies published in languages other than English or not dealing with English language teaching and learning at the university level were excluded. In the case of an e-learning course, chatbots can serve as visual instructors and answer learners’ questions.

Intelligent bots can also be used to initiate effective peer-to-peer interactions, thereby boosting employee collaboration and workplace productivity. Similarity in communication style enhances feeling of credibility (CRE) [38]. In consumer research, it has been found that internal similarity increases buyer’s disposition to trust salespeople and follow their supervision [30]. However, it was found that credibility does not influence reuse intention of virtual health advisory system and social presence [23].

Qualified lead engagement

It shows how the available natural language understanding platforms can reduce the burden of the user, and therefore going on to develop a robust software application. Nowadays, museums are developing chatbots to assist their visitors and to provide an enhanced visiting experience. Most of these chatbots do not provide a human-like conversation and fail to deliver the complete requested knowledge by the visitors.

A strong sales enablement strategy requires advanced product training for sales representatives. With this in mind, our client decided to develop a learning chatbot to help a global car manufacturer train their sales representatives on product features and benefits. Powered by artificial intelligence and machine learning, the chatbot makes training highly interactive and contains easily digestible information.

Look for a professional development team

Similarity reduces uncertainty, while increases validation and enjoyment of interaction [28]. In another study, Al-Natour et al. [29] found that personality and behavioral similarities between users and online shopping assistants positively lead to user evaluation of the technological artifact. Al-Natour et al. [30] distinguished between personality and decision process similarity and found that personality similarity affects trusts, while decision process similarity influences enjoyment and ease of use of online shopping assistants. Recently, information system (IS) research has mainly focused on the effect of cognitive and emotional aspects on different behaviors [23]. Both negative (e.g., anxiety and helplessness) and positive (e.g., enjoyment) emotions facilitate user behavior and openness to information reception [24].

• Based on CNN articles from the DeepMind Q&A database, we have prepared a Reading Comprehension dataset of 120,000 pairs of questions and answers.
• Furthermore, the paper is introducing a novel approach in developing intelligent chatbots for museums.
• Chatbot can become the best friend of users in terms of study coworking and social learning.
• Personalized learning is an approach of education that customizes learning program based on each learner’s needs and skills, as well as interests [10].
• Educational institutions’ main stakeholders (teachers, pupils/students, and parents) are confronted with bottlenecks as they entirely move to online education.
• Because it will take less time for the algorithms to assess each student’s progress and give pertinent information more quickly and precisely, chatbots can complete this work more quickly.

AI-powered chatbots can convert this time-consuming task into an automatic one. Another vital theme derived from the analysis was the satisfaction of using chatbots for teaching and learning different language skills. In support of satisfaction, Hew et al. (2022) found positive learner experiences concerning the chatbots’ perceived usefulness and ease of use. Chatbots represent such AIs employed at the macro and micro level in the class for developing learners’ different language skills, e.g., speaking, reading, listening, and writing (Gayed et al., 2022). Chatbots refer to a dialog system replicating written and/or verbal communication with human users, typically over the Internet. The dialogue system can be text-based or task-based and respond with speech, graphics, virtual gestures, or physically assisted tactual gestures (Belda-Medina and Calvo-Ferrer, 2022).

Tommy Hilfiger launched its TMY.GRL bot, which seems to be the first shopping assistant chatbot from a large clothing brand. It might not always be able to grasp the subtleties of human speech or the context of a given query. In some circumstances, it offers information that is unreliable or lacking. But hold up, just because ChatGPT is super smart and has access to a vast amount of data, it doesn’t mean it’s taking over the world of education. The main purpose of this tool is to provide helpful responses to any question or inquiry you might have.