Software engineering education in the era of conversational AI: current trends and future directions

It can also provide real-time updates on the order status and location by integrating with the business’s order tracking system. According to Tidio’s study, the majority of consumers, specifically 62%, would choose to utilize a chatbot for customer service instead of waiting for a human agent to respond to their queries. Precedence generative ai and conversational ai Research shows that 21.50% of applications are segmented into customer relationship management (CRM). As competition and customer expectations rise, providing exceptional customer service has become an essential business strategy. Utilizing AI chatbots is one of the main methods for meeting customer needs and optimizing processes.

However, separate tools exist to detect plagiarism in AI-generated content, so users have other options. Gemini’s double-check function provides URLs to the sources of information it draws from to generate content based on a prompt. The evolution of conversational AI is set to transform customer service by making AI tools smarter, more responsive, and capable of handling complex tasks. Gartner predicts that by 2028, generative AI, conversational user interfaces (CUIs), and digital customer services will transform support processes, driven by continuous advancements in Natural Language Processing (NLP). Bull and Kharrufa (2023) considered current GenAI tools as promising to include “code reviews” as a common practice early on in software engineering education.

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The review focused on several perspectives, including the benefits and challenges of ChatGPT, student engagement, learning outcomes, ethical considerations, safeguards, and the effects of ChatGPT on educators and teachers. By synthesizing the findings and observations from these articles, valuable insights were gained regarding the efficient use of ChatGPT in educational settings. Ethical considerations extend to promoting critical thinking skills among students and safeguarding privacy and data protection (Helberger and Diakopoulos, 2023). Integration of ChatGPT in teaching shifts educators’ roles from content delivery to facilitation and guidance, promoting personalized and differentiated learning experiences (McGee, 2023a). Overall, Table 8 presents a synthesis of findings from various research papers, each contributing to our understanding of the applications and implications of integrating ChatGPT in different contexts.

Hence, while the analysis was dominantly inductive, a degree of deductive analysis was employed to ensure that the open coding produced themes that were meaningful to the research questions. In response to the first RQ, it aims to explore the positive impacts of ChatGPT in education, focusing on enhanced learning and improved information access. It also addresses challenges, including biases in AI models, accuracy issues, emotional intelligence, critical thinking limitations, and ethical concerns. The goal is to identify methods to enhance ChatGPT’s performance while promoting ethical and responsible use in educational settings. The integration of ChatGPT in teaching and learning can significantly impact educators’ roles and the entire teaching-learning process. ChatGPT can revolutionize traditional instructional practices with its interactive and conversational capabilities and open new possibilities for personalized and engaging learning experiences.

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For example, Khan Academy’s Khanmigo tutoring system often revealed the correct answers to questions despite being instructed not to. The RAND report lists many difficulties with generative AI, ranging from high investment requirements in data and AI infrastructure to a lack of needed human talent. Vitomir Kovanovic does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment. Hyperproduction from AI-powered content farms is also making it harder to find content that isn’t clickbait stuffed with advertisements. For instance, researchers found a 16% drop in activity on the coding website StackOverflow one year after the release of ChatGPT.

• In the field of computing education, only a few papers have surveyed the literature on LLMs and their implications for software engineering education.
• For instance, researchers found a 16% drop in activity on the coding website StackOverflow one year after the release of ChatGPT.
• The app allows users to upload files and other photos, as well as speak to ChatGPT from their desktop and search through their past conversations.
• The terms may cover logistical arrangements such as when the article will be published, the format (print, online or both), and the division of royalties (if applicable).
• This gen AI trend is especially relevant in sectors like healthcare, legal, and finance, where data privacy is paramount.

This unique feature opens exciting opportunities for educators to adopt innovative teaching methods and create a more interactive and enriching classroom experience (Ollivier et al., 2023). Jürgen Rudolph and Samson (2023) and Baidoo-Anu and Owusu Ansah (2023) explore the implications of ChatGPT integration in terms of assessment and learning. The former discusses how the evolution from a non-profit to a commercial model ChatGPT App by OpenAI affects the deployment and development of such AI technologies. By integrating these ethical considerations and safeguards, educational institutions can foster responsible use of AI chatbots, maintain ethical standards, and enhance the overall learning experience for students. After analyzing the ethical considerations discussed within the selected articles, the results are shown in the following tables.

Et al. (2023) and Lo (2023), examine the roles and impact of ChatGPT’s potential to revolutionize virtual teaching assistants and intelligent tutoring systems. They emphasize the need for educators to understand the implications of this technology and adapt their teaching practices accordingly. In a decade’s time, we may look back at 2024 as the golden age of the web, when most of it was quality human-generated content, before the bots took over and filled the web with synthetic and increasingly low-quality AI-generated content. Google has rolled out its latest experimental search feature on Chrome, Firefox and the Google app browser to hundreds of millions of users. “AI Overviews” saves you clicking on links by using generative AI — the same technology that powers rival product ChatGPT — to provide summaries of the search results. Ask “how to keep bananas fresh for longer” and it uses AI to generate a useful summary of tips such as storing them in a cool, dark place and away from other fruits like apples.

• Analysis results of papers that focus on conversational agents in software engineering education.
• Advertisers can now generate ad content automatically, pulling creative elements and keywords directly from a website URL.
• Rather than leaving customers to navigate the complexities of tags, categories, and collections on their own, the AssistBot will offer guidance throughout the process.
• Valový and Buchalcevova (2023) focused on AI-assisted pair programming, a method frequently used in Agile software development (Bourque and Fairley, 2014).

Bard also incorporated Google Lens, letting users upload images in addition to written prompts. The later incorporation of the Gemini language model enabled more advanced reasoning, planning and understanding. Marketed as a “ChatGPT alternative with superpowers,” Chatsonic is an AI chatbot powered by Google Search with an AI-based text generator, Writesonic, that lets users discuss topics in real time to create text or images. It can translate text-based inputs into different languages with almost humanlike accuracy.

In fact, 30% of organizations will turn to gen AI to automate about 30% of their operational activities. “Evaluating the impact of ChatGPT on exercises of a software security course,” in ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) (New Orleans, LA), 1–6. “Recommendations to create programming exercises to overcome ChatGPT,” in 2023 IEEE 35th International Conference on Software Engineering Education and ChatGPT Training (CSEE&T) (Tokyo), 147–151. To dig deeper and identify clusters of research topics and their interconnections within the categories, we next carried out a term co-occurrence analysis using the author keywords. The co-occurrence network graph presents the interconnectedness and relative frequency of terms extracted from author keywords in our corpus. Each node symbolizes a unique term, and larger nodes indicate higher occurrence frequencies.

OpenAI released a new Read Aloud feature for the web version of ChatGPT as well as the iOS and Android apps. The feature allows ChatGPT to read its responses to queries in one of five voice options and can speak 37 languages, according to the company. TechCrunch found that the OpenAI’s GPT Store is flooded with bizarre, potentially copyright-infringing GPTs. A cursory search pulls up GPTs that claim to generate art in the style of Disney and Marvel properties, but serve as little more than funnels to third-party paid services and advertise themselves as being able to bypass AI content detection tools. Premium ChatGPT users — customers paying for ChatGPT Plus, Team or Enterprise — can now use an updated and enhanced version of GPT-4 Turbo. The new model brings with it improvements in writing, math, logical reasoning and coding, OpenAI claims, as well as a more up-to-date knowledge base.

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ChatGPT propels human-computer interactions to new heights by synergizing these cutting-edge advancements, offering unparalleled personalization and intuitive experiences. As users engage with ChatGPT, its ability to learn from individual preferences empowers the creation of tailored responses, revolutionizing the way humans interact with AI systems (Aljanabi and ChatGPT, 2023). Within the realm of education, ChatGPT’s potential to enhance learning experiences takes center stage. This powerful language model fosters dynamic and evolving learning environments by transcending traditional search engine constraints. Students are encouraged to actively participate in interactive sessions actively, promoting deep engagement and reflective thinking. Drawing on its powerful Generative Pre-trained Transformer (GPT-3), ChatGPT analyzes vast amounts of data, providing personalized and relatable responses while seamlessly integrating new knowledge through follow-up question responses.

There are visual flow builders, support for omnichannel implementation, and state-based data models to access. Laiye promises companies an easy-to-use platform for building conversational AI solutions and bots. The no-code system offered by Laiye can handle thousands of use cases across many channels, and offers intelligent and contextual routing capabilities. With the NLP-powered offering, companies also get a dialogue management solution, to help with shifting between different conversations. Boost.ai produces a conversational AI platform, specifically tuned to the needs of the enterprise.

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But interpreting these estimates still depends on human judgment, and an incorrect interpretation might lead to a wrong course of action. Predictive AI blends statistical analysis with machine learning algorithms to find data patterns and forecast future outcomes. It extracts insights from historical data to make accurate predictions about the most likely upcoming event, result or trend. The types of agreements being reached between academic publishers and AI companies have sparked bigger-picture concerns for many academics.

Informa will be paid more than £8 million (A$15.5 million) for initial access to the data, followed by recurring payments of an unspecified amount for the next three years. Wellett Potter does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment. Just as prostitution is “the oldest profession”, porn sites are some of the oldest corners of the internet. However, the dystopian potential of sexbots for mass-customised, corporate-controlled monetisation of our most intimate sphere is unprecedented. Perhaps before long we will see corporations offering “responsibly sourced” AI girlfriends for the more ethical consumer – organically grown from consensually harvested content, promoting socially acceptable smut.

Further, most enterprise software makers will not monetize generative AI, or “conversational AI,”  in a material way until late 2025, some analysts say. Many U.S. companies are pursuing custom AI software development projects, which will take longer to ramp up commercially. The best AI stocks to buy span chipmakers, software companies, cloud computing service providers and technology giants. You can foun additiona information about ai customer service and artificial intelligence and NLP. As AI-generated content becomes systematically homogeneous, we risk losing socio-cultural diversity and some groups of people could even experience cultural erasure. We urgently need cross-disciplinary research on the social and cultural challenges posed by AI systems.