https://j.ideasspread.org/index.php/ier/issue/feedInternational Educational Research2024-12-05T19:32:33+08:00Adan Williamsier@ideasspread.orgOpen Journal Systems<p>International Educational Research (IER) is an international, double-blind peer-reviewed, open-access journal, which is published by <span lang="EN-US">IDEAS SPREAD INC</span> in both print and online versions. The online version is free to access and download. The journal publishes original research papers, case reports, and review articles. The journal encourages submission in but not limited to subjects of Education method, education policy and education development; Educational technology and educational psychology; Special education and cross-cultural education; Educational leadership, educational administration and educational evaluation; Training, teaching and learning, Language education.</p>https://j.ideasspread.org/index.php/ier/article/view/1323Large Language Model for Assignment Feedback on Open-ended Subjective Questions2024-12-05T19:19:47+08:00Zhiqing Liu1351442105@qq.comMing Li1351442105@qq.com<p>Feedback is a key factor in motivating and consolidating learning, but in classroom teaching, a teacher needs to provide timely and effective feedback on the homework of dozens of students, which puts much pressure on the teacher. Meanwhile, existing automatic feedback systems are not suitable for open writing tasks. The emergence of ChatGPT has attracted the attention of researchers. We selected 28 open-ended subjective question assignments to input into ChatGPT, and compared and analyzed the scores and comments generated by ChatGPT with those of teachers, to explore the feasibility of using a Large Language Model to provide timely feedback for open-ended subjective questions. Our research indicates that ChatGPT can score and evaluate learners' open-ended subjective homework, and the rating of ChatGPT can be similar to that of teachers. Moreover, ChatGPT's comments can be similar in terms of focus and emotional bias to those of teachers, indicating that ChatGPT's ratings and comments have high credibility.</p>2024-12-04T00:00:00+08:00##submission.copyrightStatement##https://j.ideasspread.org/index.php/ier/article/view/1325Mathematically Intelligent Human-Computer Collaborative Teaching: Opportunities, Challenges and Countermeasures2024-12-05T19:32:33+08:00Lixing Zhaodoctoryang2030@163.comHongli Yang121758450@qq.com<p class="text"><span lang="EN-US">With the rise of technologies such as Artificial Intelligence (AI), Big Data and Cloud Computing, Digital Intelligence is reshaping the education landscape in far-reaching ways, opening up new paths for education modernization. As a transformative model, human-computer collaborative teaching provides important opportunities for educational practices through the integration of intelligent technologies and traditional educational practices: technology empowerment to promote teaching innovation, optimal allocation of resources to enhance educational equity, support for personalized learning to achieve tailored teaching, and role diversification to help teachers transform. However, there are also many challenges: insufficient technology integration limits practical application, data ethics and privacy issues raise potential risks, lack of standards and quality exacerbates the lack of regulation, and conflicting roles in collaboration hinders management transformation. Based on this, proposed solutions include enhancing the technological literacy of teachers and learners, strengthening data privacy protection frameworks, optimizing instructional systems to support personalized learning, and building educational ecosystems that promote collaboration and adaptability. This paper aims to provide a comprehensive framework to guide the advancement of education modernization and ensure that it matches the needs and potential of digital intelligence.</span></p>2024-12-05T00:00:00+08:00##submission.copyrightStatement##