Exploring the pedagogical uses of AI chatbots

Chatbots use AI and machine learning algorithms to gauge a student’s current skill level and recommend relevant material and drills to help them improve. Learning chatbots for mobile devices can help people improve many different abilities, from coding and design to leadership and communication. Until the development of mobile learning chatbots, mastering a foreign language was a tedious and time-consuming procedure. Conversational learning with these chatbots can include vocabulary and pronunciation challenges and interactive lectures.

They might be combined with new technologies like VR and AR to give students a hands-on, interactive experience with what they’re studying. Possibilities for interdisciplinary and experiential teaching may be dramatically enhanced as a result. The capacity for mobile learning chatbots to customize the educational experience is a promising development area. Thanks to AI and machine learning, Chatbots are improving their ability to adapt to different users’ tastes and learning styles. This bodes well for the ability of future chatbots to personalize their lessons for each learner. IBM Watson is a powerful AI platform that has been integrated into various educational institutions.

Peer agents

Subsequently, it was imported into the Rayyan tool Footnote 6, which allowed for reviewing, including, excluding, and filtering the articles collaboratively by the authors. The chatbot used pattern matching to emulate a psychotherapist conversing with a human patient. It used Artificial Intelligence Markup Language (AIML) to identify an accurate response to user input using knowledge records (AbuShawar and Atwell, 2015). Instancy’s Mobile Learning Chatbot platform seamlessly integrates with the Instancy Learning Management System.

Keep these issues in mind as you and your students work to maximize the potential benefit of using chatbots. AI chatbots should play the role of digitization partner for educational institutions in the next normal, as they are endowed with unique capabilities to unlock the potential of AI technology in education. Students are eager to embrace new technologies in education, such as chatbots with personality, which could provide them mindful experiences. Students immersed in eLearning platforms face difficulties to prioritize their work; in this context, AI-powered chatbots could be valuable in challenging their minds and providing them ideas on how to effectively manage the remote learning process. AI chatbot interface designers estimate that stakeholders of remote education are ready to perceive the data set they are reproducing as a real conversation, even when they are actually using a simple matching pattern that can be used for specific purposes.

1 Research questions

The technical needs and support for implementing mobile learning chatbots must be carefully considered. To guarantee a good user experience, chatbots should be easily incorporated into current learning management systems (LMS) or educational mobile apps. Businesses must pick a chatbot platform that works with their existing systems and supports their mission.

In terms of the medium of interaction, chatbots can be text-based, voice-based, and embodied. Text-based agents allow users to interact by simply typing via a keyboard, whereas voice-based agents allow talking via a mic. Voice-based chatbots are more accessible to older adults and some special-need people (Brewer et al., 2018). An embodied chatbot has a physical body, usually in the form of a human, or a cartoon animal (Serenko et al., 2007), allowing them to exhibit facial expressions and emotions. 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.

Appendix C: The proposed chatbot evaluation questionnaire

E-learning has been steadily gaining ground in educational institutions around the world. According to a report by Research and Markets, the global e-learning market is projected to reach a staggering $375 billion by 2026, growing at a CAGR of 10.5% from 2021 to 2026. This significant growth is indicative of the increasing importance of e-learning in the educational landscape. In the images below you can see two sections of the flowchart of one of my chatbots. In the first one you can see that the chatbot is asking the person how they are feeling, and responding differently according to their answer.

Thirdly, exploring the specific pedagogical strategies employed by chatbots to enhance learning components can inform the development of more effective educational tools and methods. AI-powered chatbots are designed to mimic human conversation using text or voice interaction, providing information in a conversational manner. Chatbots’ history dates back to the 1960s and over the decades chatbots have evolved significantly, driven by advancements in technology and the growing demand for automated communication systems.

Instancy Social Learning Network:

The chatbot learns from interactions with students and improves its suggestions over time, giving each student a genuinely individualized education. The rise of e-learning and chatbot technology has ushered in a new era of STEM education. These technologies offer unprecedented benefits, making STEM subjects more accessible, engaging, and effective for students. E-learning platforms provide flexible and cost-effective access to educational materials, while chatbots offer personalized assistance and instant feedback, enhancing the learning experience. 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.

You might first use the chatbot to help you define a project and break down the work into manageable chunks, then clarify the function or routine you want to work on. You might then use the chatbot to generate examples or suggest useful methods (Gewirtz, n.d.). When prompting a chatbot, ask it “What more would you need to make this interaction better?” (Chen, 2023). This can in turn prompt you to give more specific details and instructions that can yield better results. Claude, the name of the large language model and chatbot developed by Anthropic, uses a different method of training from GPT and Bard that aims to focus on safety and helpfulness.

The goal of a chatbot is to make technology work for you and give you an easy way to talk to it as if it were a real person. Their favorite music is being streamed from distant servers, directly to their smart device. Unfortunately, in many public schools in the United States and internationally, printed textbooks, and lecturing to large groups of students are the only available teaching methods. Users should prioritize the privacy and data protection of individuals when using chatbots. They should avoid sharing sensitive personal information and refrain from using the model to extract or manipulate personal data without proper consent.

Written by Build Chatbot

Stanford has academic skills coaches that support students in developing metacognitive and other skills, but you might also integrate metacognitive activities into your courses with the assistance of an AI chatbot. For example, you and your students could use a chatbot to reflect on their experience working on a group project or to reflect on how to improve study habits. We advise that you practice metacognitive routines first, before using a chatbot, so that you can compare results and use the chatbot most effectively. Keep in mind that the tone or style of coaching provided by chatbots may not suit everyone.

Explore the vast potential of mobile learning chatbots by delving into each area. Mobile learning chatbots’ portability and ease of use is one of their main selling points. Learning materials are now available to students 24/7 because of the proliferation of mobile devices. Learning is no longer restricted to the four corners of a classroom or the hours of a school day. Chatbots for mobile learning remove these constraints, letting learners’ study wherever and whenever works best for them.

Go to claude.ai/login and sign in with an email address or Google account to access the Claude chatbot. Go to bard.google.com and sign in with your personal Google account to access Bard. ChatGPT, developed by OpenAI, uses the Generative Pre-training Transformer (GPT) large language model. As of July 2023, it is free to those who sign up for an account using an email address, Google, Microsoft, or Apple account. The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

With the continued advancement of AI technology, these AI chatbots are on the cusp of remarkable sophistication, providing learners with highly personalized and adaptive educational experiences. They will empower students with real-time, customized guidance and support, making learning more effective and engaging. Yet, their impact goes beyond individual learning journeys; they will play a pivotal role in addressing the global skills gap, ensuring that education becomes increasingly accessible and inclusive.

Therefore, the objective of this study is first to address research gaps based on literature, application, and design and development strategies for EC. Next, by situating the study based on these selected research gaps, the effectiveness of EC is explored for team-based projects in a design course using a quasi-experimental approach. Existing literature review studies attempted to summarize current efforts to apply chatbot technology in education. For example, Winkler and Söllner (2018) focused on chatbots used for improving learning outcomes.

• Furthermore, chatbots help reduce the administrative workload on educators by handling routine tasks.
• In general, the followed approach with these chatbots is asking the students questions to teach students certain content.
• Today, many teachers are solely focused on memorizing lessons and grading tests.
• Based on a mixed-method quasi-experimental approach, ECs were found to improve learning performance and teamwork with a practical impact.

As technology continues to advance, AI-powered educational chatbots are expected to become more sophisticated, providing accurate information and offering even more individualized and engaging learning experiences. They are anticipated to engage with humans using voice recognition, comprehend human emotions, and navigate social interactions. This includes activities such as establishing educational objectives, developing teaching methods and curricula, and conducting assessments (Latif et al., 2023). Considering Microsoft’s extensive integration efforts of ChatGPT into its products (Rudolph et al., 2023; Warren, 2023), it is likely that ChatGPT will become widespread soon. Educational institutions may need to rapidly adapt their policies and practices to guide and support students in using educational chatbots safely and constructively manner (Baidoo-Anu & Owusu Ansah, 2023).

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