  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.
