Role of AI chatbots in education: systematic literature review Full Text

Forward-thinking educational leaders use AI-powered chatbots both to relieve admissions staff work by answering repetitive questions and to reach students for matters like encouraging them to enroll. When a teacher has a bunch of students to teach, answering repetitive questions about lesson plans, classes, and schedules is tiring and time-consuming. The most useful application of AI in education is automated, intelligent tutoring. The AI chatbots can help teach students using a series of messages, just like a common chat conversation, but made out of a lecture. The widespread adoption of chatbots and their increasing accessibility has sparked contrasting reactions across different sectors, leading to considerable confusion in the field of education. Among educators and learners, there is a notable trend—while learners are excited about chatbot integration, educators’ perceptions are particularly critical.

This metacognitive exercise can help you identify what you want to explore and what you already understand. Making connections to what you already know can deepen your learning and support your engagement with these modules (Santascoy, 2021). If you’ve got interactive content, such as video tutorials, chatbots can tap into your library and provide relevant content to help students study. Not to mention, some chatbots can facilitate learning, e.g. by playing music for concentration by integrating with music apps like Spotify. AI and machine learning, in particular, are now impacting the education sector in numerous ways.

Exploring the pedagogical uses of AI chatbots

Most of these journals are ranked Q1 or Q2 according to Scimago Journal and Country Rank Footnote 7. Hobert and Meyer von Wolff (2019), Pérez et al. (2020), and Hwang and Chang (2021) examined the evaluation methods used to assess the effectiveness of educational chatbots. The authors identified that several evaluation methods such as surveys, experiments, and evaluation studies measure acceptance, motivation, and usability. In terms of the medium of interaction, chatbots can be text-based, voice-based, and embodied.

Finally, researchers should explore EUD tools that allow non-programmer educators to design and develop educational chatbots to facilitate the development of educational chatbots. Adopting EUD tools to build chatbots would accelerate the adoption of the technology in various fields. In terms of the educational role, slightly more than half of the studies used teaching agents, while 13 studies (36.11%) used peer agents.

Six common use cases of chatbots for education

Chatbots’ responses can vary in accuracy, and there is a risk of conveying incorrect or biased information. Universities must ensure quality control mechanisms to verify the accuracy and reliability of the AI-generated content. Special care must be taken in situations where faulty information could be dangerous, such as in chemistry laboratory experiments, using tools, or constructing mechanical devices or structures. Chatbots can provide virtual tutoring and mentoring services, guiding students through coursework, assignments, and career advice.

• Effective tutors may use questioning techniques, collaborative problem-solving, and personalized instruction to support their students.
• Institutions seeking support in any of these areas can implement chatbots and anticipate remarkable outcomes.
• Furthermore, chatbots also assist both institutions in conducting and evaluating assessments.
• Today, technologies like conversational AI and natural language processing (NLP) continue to help educators and students world over teach and learn better.

7, most of the articles (88.88%) used the chatbot-driven interaction style where the chatbot controls the conversation. 52.77% of the articles used flow-based chatbots where the user had to follow a specific learning path predetermined by the chatbot. Notable examples are explained in (Rodrigo et al., 2012; Griol et al., 2014), where the authors presented a chatbot that asks students questions and provides them with options to choose from. Other authors, such as (Daud et al., 2020), used a slightly different approach where the chatbot guides the learners to select the topic they would like to learn.

Chatbots for education institutions – Use cases & benefits

A key question for the research team is whether the computations in AI chatbots can inspire new scientific questions and hypotheses that could guide neuroscientists toward a better understanding of the human brain. Higher education is a time of much academic work, where texts’ quality and originality are significant considerations. educational chatbots trained with thousands of readers and spelling or grammar rules also help students to assess readability or uniqueness. Education chatbots and chatbots in general have come a long way from where they started. They are a one-time investment with low maintenance requirements and a self-improving algorithm. Researchers have also developed systems that can automatically detect whether students are able to understand the study material or not.

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