Benefits of AI Chatbots for Businesses & Customers
Benefits and Barriers of Chatbot Use in Education Technology and the Curriculum: Summer 2023 For example, the authors in (Fryer et al., 2017) used Cleverbot, a chatbot designed to learn from its past conversations with humans. User-driven chatbots fit language learning as students may benefit from an unguided conversation. The authors in (Ruan et al., 2021) used a similar approach where students freely speak a foreign language. The chatbot assesses the quality of the transcribed text and provides constructive feedback. In comparison, the authors in (Tegos et al., 2020) rely on a slightly different approach where the students chat together about a specific programming concept. The chatbot intervenes to evoke curiosity or draw students’ attention to an interesting, related idea. The teaching team will save time not having to answer similar questions over and over again, and students will receive answers immediately. If you are ready to explore chatbots’ potential in the education sector, consider trying respond.io, a platform that revolutionizes customer communication. Education businesses like E4CC, Qobolak and CUHK have already seen success with respond.io. Regular testing with real users and incorporating their feedback is critical to the success of your chatbot. Each iteration should aim to improve the user experience and streamline communication further. By analyzing conversation data, educational institutions can gain insights into user preferences, pain points, and popular inquiries, informing decision-making and strategy. Artificial intelligence can invent recipes based on the molecular compatibility of ingredients or whatever a kitchen has in stock. More advanced concepts are in the works to automate the entire kitchen for fine dining. Businesses can discover diverse investment opportunities across various classes. They can spread the investments across different assets so that the adverse impact on one class does not affect the potential gains from other classes. As AI continues to advance, we must navigate the delicate balance between innovation and responsibility. Finally, the chatbot discussed by (Verleger & Pembridge, 2018) was built upon a Q&A database related to a programming course. Nevertheless, because the tool did not produce answers to some questions, some students decided to abandon it and instead use standard search engines to find answers. Six (16.66%) articles presented educational chatbots that exclusively operate on a mobile platform (e.g., phone, tablet). Examples include Rexy (Benedetto & Cremonesi, 2019), which helps students enroll in courses, shows exam results, and gives feedback. A user-driven interaction was mainly utilized for chatbots teaching a foreign language. While the identified limitations are relevant, this study identifies limitations from other perspectives such as the design of the chatbots and the student experience with the educational chatbots. To sum up, Table 2 shows some gaps that this study aims at bridging to reflect on educational chatbots in the literature. User-driven conversations are powered by AI and thus allow for a flexible dialogue as the user chooses the types of questions they ask and thus can deviate from the chatbot’s script. One-way user-driven chatbots use machine learning to understand what the user is saying (Dutta, 2017), and the responses are selected from a set of premade answers. In contrast, two-way user-driven chatbots build accurate answers word by word to users (Winkler & Söllner, 2018). Through simulations, quizzes, and problem-solving exercises, chatbots make learning active rather than passive. Education bots are influencing how institutions engage with students by enhancing learning and administrative processes. In recent years, chatbots have become a crucial component in the digital strategy of educational institutions. Businesses can leverage data-driven insights and recommendations to improve the quality of their wealth management decisions. This leads to informed and accurate choices, maximizing ROI and minimizing wealth management risks. AI algorithms analyze clients’ data to select the relevant insurance products and coverage levels. A traditional 24/7 customer support model would involve salaried employees working in shifts, but with AI chatbots, businesses can deliver the same level of service at a fraction of the cost. According to Juniper research, industries like retail, banking, and healthcare can save up to $11 billion annually through chatbot adoption. By integrating solutions like Yellow.ai’s advanced chatbots, businesses aren’t just streamlining operations but are also significantly enhancing their bottom line. As businesses look to make information more easily accessible (both internally and externally), expect to see even further innovation in chatbot technology. Key to that innovation equation is deeper contextual understanding of language. Generate leads and satisfy customers Chatbots can help with sales lead generation and improve conversion rates. Cases in which conversational AI supports learners and instructional teams Instead of an HR representative spending time on these routine queries, chatbots can provide instantaneous, accurate responses, allowing the HR team to dedicate more time to qualitative assessment and candidate engagement. In terms of recruitment, where time is often of the essence, such automation by chatbots, like those powered by Yellow.ai, ensures a more efficient and streamlined hiring process. Chatbots have revolutionized the way businesses benefits of chatbots in education communicate, and just as every department in a company has a distinct role, chatbots come in various forms to serve specific purposes. From Menu/Button-based chatbots that operate like straightforward help desks to Generative AI chatbots that craft new content insights, there’s a spectrum of options available. Each caters to a unique business requirement, ensuring every enterprise can find a chatbot best suited for their digital journey. They act beyond classroom activities as campus guides, providing valuable information on facilities and helping students. Considering this, the University of Murcia in Spain used an AI chat assistant that successfully addressed more than 38,708 inquiries with an accuracy rate of 91%. The success of chatbot implementation depends on how easily educatee perceive and adapt to their use. If they find tools complex or difficult to navigate, it may hinder their acceptance and application in educational settings. Ensuring a user-friendly interface and straightforward interactions is important for everyone’s convenience. In the context of the education sector, these chatbots are tailored to meet the specific needs of students, educators, and administrative staff. Additionally, tutoring chatbots provide personalized learning experiences, attracting