Generative artificial intelligence empowers educational reform: current status, issues, and prospects

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There has been growing research interest in the application of generative AI in education, especially since the release of ChatGPT in November 2022.

“In recent years, there has been a growing research interest in the application of generative artificial intelligence in the field of education, especially since the release of Chat GPT in November 2022, which brought the concept of generative AI to the public attention and sparked increasing interest in its potential impact on education.”

• cites Stokel-Walker, 2022 sourceNot checked yet

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• cites Terwiesch, 2023Not checked yet

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• cites Zhai, 2022Not checked yet

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Duolingo users can learn multiple languages including English, Spanish, French, German, Italian, Portuguese, Dutch, Russian, and Chinese.

“Users can learn multiple languages, including English, Spanish, French, German, Italian, Portuguese, Dutch, Russian, and Chinese.”

• cites Lim et al., 2022Not checked yet

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Personalization and fairness are problems in the current application of generative AI in education.

“It conducts an in-depth analysis of the current application of generative artificial intelligence in the field of education, and identifies problems in four aspects: opacity and unexplainability, data privacy and security, personalization and fairness, and effectiveness and reliability.”

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The application of generative AI in the field of education is increasing.

“With the development of technology, the application of generative AI in the field of education is increasing.”

May combine two claims.

Effectiveness and reliability are problems in the current application of generative AI in education.

“It conducts an in-depth analysis of the current application of generative artificial intelligence in the field of education, and identifies problems in four aspects: opacity and unexplainability, data privacy and security, personalization and fairness, and effectiveness and reliability.”

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Duolingo includes various grammar, vocabulary, listening, speaking, and reading comprehension exercises.

“The application includes various grammar, vocabulary, listening, speaking, and reading comprehension exercises, and users can improve their language skills by completing these exercises.”

• cites Lim et al., 2022Not checked yet

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Duolingo's core concept is to turn language learning into a game.

“The core concept of Duolingo is to turn language learning into a game, helping users to learn new languages easily and happily through interactive learning methods (Lim et al., 2022).”

• cites Lim et al., 2022Not checked yet

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Duolingo provides personalized learning plans and real-time feedback.

“In addition, Duolingo also provides personalized learning plans and real-time feedback to help users better understand their learning progress and problems, and provide corresponding advice and support.”

• cites Lim et al., 2022Not checked yet

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Duolingo is a free language learning application based on generative AI technology.

“Taking Duolingo as an example, this is a free language learning application based on generative AI technology.”

• cites Lim et al., 2022Not checked yet

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Generative AI may disrupt some educational practices while also supporting them.

“These two perspectives highlight the inherent contradictions of generative AI and its role in education; it may disrupt some educational practices while also supporting them.”

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Intelligent homework grading can automatically detect various types of student homework, including multiple-choice questions, fill-in-the-blank questions, short answer questions, and essay questions.

“The system can automatically detect various types of student homework, including multiple-choice questions, fill-in-the-blank questions, short answer questions, and essay questions, achieving efficient, accurate and fair homework grading.”

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Yixue Education's intelligent tutoring system is based on artificial intelligence and facial recognition technology.

“For example, Yixue Education's intelligent tutoring system is based on artificial intelligence and facial recognition technology, which analyses students' learning situations and performances to generate personalized tutoring content and strategies.”

• cites Ouyang and Jiao, 2021 sourceNot checked yet

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Intelligent homework grading can provide teachers with more efficient and accurate homework management tools.

“Furthermore, the system can also provide teachers with more efficient and accurate homework management tools, saving a lot of time and energy.”

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Intelligent homework grading automatically analyses students' homework, judges its correctness and errors, and provides corresponding scores and suggestions.

“Intelligent homework grading automatically analyses students' homework, judges its correctness and errors, and provides corresponding scores and suggestions.”

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Intelligent homework grading can establish corresponding knowledge bases and algorithm models through learning and analyzing historical data to judge whether students' answers are correct.

“Specifically, the system can establish corresponding knowledge bases and algorithm models through learning and analyzing historical data, judge whether students' answers are correct, and provide corresponding scores and suggestions to help students improve their homework.”

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The Knewton platform can improve students' learning efficiency and effectiveness.

“Through this personalized teaching method, the Knewton platform can improve students' learning efficiency and effectiveness, making teaching more flexible and efficient.”

Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

Intelligent homework grading can provide real-time evaluation and feedback.

“In addition, intelligent homework grading can also provide real-time evaluation and feedback, allowing students to timely understand their learning situation and progress.”

Classified as probably not a substantial claim. May combine two claims.

Generative AI has a wide range of applications in education, but there are also some issues that need to be addressed.

“In conclusion, generative AI has a wide range of applications in education, but there are also some issues that need to be addressed.”

• AssumptionRests on an assumption: Generative AI requires a large amount of data to train its models, which may contain sensitive information such as personal identity information and academic records.
• AssumptionRests on an assumption: Personalized learning data for students is usually provided by schools or institutions, so students have difficulty controlling their own data and understanding how it is used and shared, which may lead to concerns and mistrust regarding personal privacy.

May combine two claims.

Due to the complexity of generative AI models, it is difficult to explain their decision-making process and the basis for generated results, which makes it hard for students to understand why they get a particular answer and how to improve their mistakes.

“Due to the complexity of generative AI models, it is difficult to explain the decision-making process and the basis for generated results, which makes it hard for students to understand why they get a particular answer and how to improve their mistakes (Laupichler et al., 2022).”

• cites Laupichler et al., 2022 sourceNot checked yet

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The application of generative AI in education can assist teachers in better understanding students' learning situations and needs, thus achieving personalized education and improving the quality of education and teaching.

“In summary, the application of generative AI in the field of education can assist teachers in better understanding students' learning situations and needs, thus achieving personalized education and improving the quality of education and teaching.”

May combine two claims.

If generative AI educational programs provide more transparent and interpretable decision-making processes and generated results, students will be more likely to understand and accept the teaching content, thus improving learning effectiveness.

“If the program can provide more transparent and interpretable decision-making processes and generated results, students will be more likely to understand and accept its teaching content, thus improving learning effectiveness (Arcaute et al., 2023).”

• cites Arcaute et al., 2023Not checked yet

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VIPKID's intelligent speech teaching system can improve students' oral expression ability and learning effectiveness, providing better learning experience and support for students.

“Through this intelligent speech interaction method, VIPKID's intelligent speech teaching system can improve students' oral expression ability and learning effectiveness, providing better learning experience and support for students (Castelli and Manzoni, 2022).”

• cites Castelli and Manzoni, 2022Not checked yet

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Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

If a student comes from a poor family, they may not have the opportunity to use high-quality learning tools and resources, which may lead to their learning achievements being inferior to those of other students.

“For example, if a student comes from a poor family, they may not have the opportunity to use high-quality learning tools and resources, which may lead to their learning achievements being inferior to those of other students.”