Interacting with educational chatbots: A systematic review Education and Information Technologies

Chatbots applications in education: A systematic review

Chatbot Education: Revolution in the E-Learning

Similarly, there was also more emphasis on how they contributed as a team, especially in providing technical support. Concurrently, it was evident that the self-realization of their value as a contributing team member in both groups increased from pre-intervention to post-intervention, which was higher for the CT group. Conversely, it may provide an opportunity to promote mental health (Dekker et al., 2020) as it can be reflected as a ‘safe’ environment to make mistakes and learn (Winkler & Söllner, 2018). Furthermore, ECs can be operated to answer FAQs automatically, manage online assessments (Colace et al., 2018; Sandoval, 2018), and support peer-to-peer assessment (Pereira et al., 2019). The remaining articles (13 articles; 36.11%) present chatbot-driven chatbots that used an intent-based approach.

Chatbot in the E-Learning

The tech industry is a significant driver of economic growth and wealth creation. E-learning and chatbot technologies provide a pathway for more individuals to enter the tech sector. As they gain skills in areas like software development, data science, artificial intelligence, and cybersecurity through online courses and chatbot-assisted learning, they become qualified candidates for tech-related job opportunities.

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It offers personalized learning experiences, adapts to students’ needs, and provides valuable insights to educators. The integration of e-learning and chatbot technology into STEM education has not only revolutionized the learning experience but also has the potential to significantly impact wealth creation on multiple fronts. The convergence of e-learning and chatbot technology in STEM education can foster wealth creation by empowering students, institutions, and the broader economy. Chatbots powered by artificial intelligence (AI) are an exciting educational development. They can handle various tasks, including but not limited to assisting students, offering information about the institution, aiding employees, being available at all hours, documenting client inquiries, etc.

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The capacity to tailor lessons to everyone is another impressive feature of mobile learning chatbots. To meet the unique requirements of each student, these virtual assistants use AI-powered recommendation and personalization algorithms. Conversational interfaces can provide individualized learning plans based on user data, such as learning habits and performance. This tailored instruction method keeps learners interested and improves their capacity to retain and apply new information.

What inspired you to explore the potential pedagogical usefulness of bots?

Where else, learning performance was assessed based on the assessment of the project, which includes report, product, presentation, and peer-to-peer assessment. In general, the studies conducting evaluation studies involved asking participants to take a test after being involved in an activity with the chatbot. The results of the evaluation studies (Table 12) point to various findings such as increased motivation, learning, task completeness, and high subjective satisfaction and engagement. Similarly, virtual reality can be utilized to construct virtual classrooms where students can interact more dynamically with their chatbot educator and classmates.

Chatbot Education: Revolution in the E-Learning

Today, there are many similar partnerships between corporations and educational institutions that try to make the institutional learning transparent and more efficient. In 2016, Bill Gates has announced that the Bill and Melissa Gates Foundation will invest more than $240 million dollars in a tech project. Facebook has also followed the Bill Gates’s example and joined the world-famous Summit Learning project. Any use of AI carries some risks and shortcomings in how these tools perform and respond to different prompts.

The Rise of E-Learning and Chatbot Technology: Transforming STEM Education

Conversational Agents (CAs) are among the most prominent AI systems for assisting teaching and learning processes. Their integration into an e-learning system can provide replies suited to each learner’s specific needs, allowing them to study at their own pace. The related chatbot was implemented and evaluated in Moroccan public schools with the support of teachers from the Regional Center for Education and Training Professions of Souss Massa. One is a control class group that uses a traditional approach, while the other two are experimental groups that employ digital content and the chatbot-based method. Preliminary findings indicate that employing chatbots can greatly enhance student learning experiences by allowing them to study at their own speed with less stress, saving them time, and keeping them motivated. Furthermore, integrating these AI systems into a smart classroom will not only create a supportive environment by encouraging good interactions with students, it will also allow learners to be more engaged and achieve better academic objectives.

Chatbot Education: Revolution in the E-Learning

The benefits of e-learning and chatbot technology in STEM education are not confined to individual success but extend to the broader economy, contributing to economic growth, innovation, and competitiveness on a global scale. As the world continues to evolve in the digital age, the transformation of STEM education through technology will play a crucial role in shaping the wealth and prosperity of nations and individuals alike. Furthermore, chatbots help reduce the administrative workload on educators by handling routine tasks. This not only saves time but also reduces the need for additional administrative staff, thus leading to cost savings for educational institutions. These savings can be reinvested into improving the quality of STEM education, including hiring more qualified educators and enhancing infrastructure. E-learning platforms often offer cost-effective alternatives to traditional brick-and-mortar institutions.

They offer personalized support based on the student’s learning pace and style. Chatbots can be implemented to do online tests, written exams, hold discussions, and assist with spaced repetition. It’s possible that AI and natural language processing technology will allow chatbots to be an objective dragging method. Obviously, students’ performance can be tracked by human teachers, but as chatbots will progress it’s likely that supervision will become less necessary. Companies and education organizations can turn their educational content into learning systems and smart assistants. Chatbots, powered by AI and Machine Learning, can go through large clusters of data, and select insights which are most relevant for the conversation.

  • Users should prioritize the privacy and data protection of individuals when using chatbots.
  • Chatbot interaction is achieved by applying text, speech, graphics, haptics, gestures, and other modes of communication to assist learners in performing educational tasks.
  • The COVID-19 pandemic pushed educators and students out of their classrooms en masse.
  • The chatbot intervenes to evoke curiosity or draw students’ attention to an interesting, related idea.

Although there are many advantages, addressing ethical, privacy and technical considerations is essential before implementing them. With Chat360’s chatbots, the education industry can offer students a more engaging and efficient learning experience. Educational institutions will harness chatbot data to gain insights into student behavior and preferences, allowing them to make data-driven decisions to improve learning outcomes. It provides students with instant feedback on assignments, identifies areas where they need improvement, and offers tailored study plans to enhance their learning. However, chatbots are not just limited to answering queries and providing basic knowledge.

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Firstly, given the novelty of chatbots in educational research, this study enriched the current body of knowledge and literature in EC design characteristics and impact on learning outcomes. In view of that, it is worth noting that the embodiment of ECs as a learning assistant does create openness in interaction and interpersonal relationships among peers, especially if the task were designed to facilitate these interactions. The adoption of educational chatbots is on the rise due to their ability to provide a cost-effective method to engage students and provide a personalized learning experience (Benotti et al., 2018). Chatbot adoption is especially crucial in online classes that include many students where individual support from educators to students is challenging (Winkler & Söllner, 2018). Moreover, chatbots may interact with students individually (Hobert & Meyer von Wolff, 2019) or support collaborative learning activities (Chaudhuri et al., 2009; Tegos et al., 2014; Kumar & Rose, 2010; Stahl, 2006; Walker et al., 2011). Chatbot interaction is achieved by applying text, speech, graphics, haptics, gestures, and other modes of communication to assist learners in performing educational tasks.

Large Language Models can produce incorrect yet plausible information confidently presented as factual. This kind of hallucination or confabulation stems from how these systems work and the limits of their training data. Chatbots tend to make mistakes when prompted to provide quotes, citations, and specific detailed information. Different LLMs vary; most have become more sophisticated and less prone to make errors over time. However, you and your students should always fact-check the output of chatbots with reliable external sources when using them to get information (Mollick & Mollick, 2023). However, providing frequent quality feedback requires much time and and your teaching team.

What are the chatbot benefits?

Envision a scenario where students interact with a chatbot while learning online, with the opportunity to visit immersive settings and handle virtual things. Bringing together chatbots with virtual and augmented reality has the potential to alter the way we learn completely. The potential for mobile learning chatbots expands in tandem with the development of education. The use of these kinds of intelligent virtual assistants has already profoundly affected how we learn, and the future promises even more remarkable developments. Education and training have been completely transformed by mobile learning chatbots, which provide many use cases to meet the needs of various students. These smart digital helpers may one day be invaluable in fields as diverse as linguistics, education, and employment training.

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