Second International Conference on Physics, Photonics, and Optical Engineering (ICPPOE 2023) / edited by Yingkai Liu.

Format:

Book

Contributor:

Liu, Yingkai, editor.

Language:

English

Subjects (All):

Design.

Physical Description:

1 online resource

Place of Publication:

Bellingham, Washington : SPIE, 2024.

Summary:

This study utilizes learning analytics techniques, specifically factor analysis and clustering, to explore the commonalities and characteristics among different virtual simulation physics experiments. Additionally, it investigates the behavioral patterns of students in online experiments. The findings demonstrate that the integration of big data and learning analytics in education has revolutionized traditional teaching methods. By analyzing student data from experiments, educators can make more timely and effective adjustments to their teaching decisions, as well as implement scientific and efficient interventions to enhance students' learning experiences. Ultimately, this approach facilitates personalized teaching goals attainment.

Notes:

Description based on publisher supplied metadata and other sources.

Includes bibliographical references and index.

ISBN:

1-5106-7469-1