ChatGPT时代具备个性化在线教与学科学的有效模型
Effective Model with Personalized Online Teaching and Learning Science in the Era of ChatGPT
AI总结：
本研究针对ChatGPT时代的科学教育需求，提出了一套结合课堂个性化、作业定制化等策略的在线物理教学有效模型，经四个大型入门班验证，能提升学生表现与留存，保障学术诚信，可为科学教育提供参考。
摘要：
科学教育的近期发展促使教育工作者探索新的教与学方法，重构课堂与作业设置，通过让学习者习得能在未来发挥作用的多元技能，将学生的知识水平提升至教育的最高层级。本文探讨了如何通过课堂个性化与作业定制化来开发并交付有效的在线物理课程，助力学习者取得学业成功。在该课堂架构下，各类教与学活动均以高效学习与互动为目标，旨在强化学生的学习效果。研究针对四个大型物理入门班的学生表现与进步情况展开了分析。通过为学习者提供教育自主权、归属感、成长型思维鼓励、有效反馈、问题解决策略以及一对一沟通，学生的选课注册率与课程留存率均得到了良好保障。通过作业定制化、课堂材料个性化、问题拆解以及对ChatGPT使用情况的调研，学术诚信也得到了妥善维护。研究从总成绩分布中的课堂表现、未交作业情况以及基于选择的学习三个维度评估分析了学生表现；同时通过分析学生对教育的投入度、尊重程度、提升意愿与时间管理能力，考察了学生的进步情况。整体而言，该课堂模型展现出了优异的表现、进步与成果，表明整个学期内全体学生都处于积极的学习环境中。因此，本文所分享的这套配备个性化作业及其他策略的有效模型，将对科学教育大有裨益。
英文摘要：
The recent development of science education leads educators to explore new teaching and learning methodologies and restructure classes and assignments to bring students' knowledge to the highest level of education by allowing learners to gain various skills that are reflected in their future. We are discussing how to develop and deliver effective online courses by personalizing the class and individualizing the assignments for learners to succeed in Physics. Various teaching and learning activities are aimed at effective learning and interaction to enhance student learning in this class structure. The students' performances and progress are analyzed in four large introductory Physics classes. Student registration and retention are well preserved by providing learners freedom of education, a sense of belonging, mindset-growing encouragements, effective feedback, problem-solving strategies, and one-to-one communications. Academic integrity is well-balanced by individualizing the assignments, personalizing class materials, breaking down problems, and investigating ChatGPT usage. The students' performances are analyzed by evaluating class performance in total grade distribution, missing assignments, and choice-based learning. Student progress is investigated by analyzing their commitment, respect, willingness to improve, and time management toward education. Overall, the class model demonstrates great performance, progress, and achievements that indicate a positive learning environment for all students throughout the semester. Hence, the effective model with personalized assignments, and other strategies that we share will be highly beneficial for science education.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
