Advances In Applications Of Rasch Measurement In Science Education

Advances in Applications of Rasch Measurement in Science Education

This edited volume presents latest development in applications of Rasch measurement in science education. It includes a conceptual introduction chapter and a set of individual chapters. The introductory chapter reviews published studies applying Rasch measurement in the field of science education and identify important principles of Rasch measurement and best practices in applications of Rasch measurement in science education. The individual chapters, contributed by authors from Canada, China, Germany, Philippines and the USA, cover a variety of current topics on measurement concerning science conceptual understanding, scientific argumentation, scientific reasoning, three-dimensional learning, knowledge-in-use and cross-cutting concepts of the Next Generation Science Standards, medical education learning experiences, machine-scoring bias, formative assessment, and teacher knowledge of argument. There are additional chapters on advances in Rasch analysis techniques and technology including R, Bayesian estimation, comparison between joint maximum likelihood (JML) and marginal maximum likelihood (MML) estimations on model-data-fit, and enhancement to Rasch models by Cognitive Diagnostic Models and Latent Class Analysis. The volume provides readers who are new and experienced in applying Rasch measurement with advanced and exemplary applications in the forefront of various areas of science education research.

Applications of Rasch Measurement in Science Education

Proceedings of the 2nd International Conference on Sciences, Mathematics, and Education 2023 (ICOSMED 2023)

This book is an open access. The 2nd International Science, Mathematics and Education (ICoSMEd) 2023 held by the Faculty of Mathematics and Natural Sciences, Universitas Negeri Gorontalo, will take place on 17-18th October 2023, in the form of a Zoom meeting. Universitas Negeri Gorontalo, a leading academic institution, is dedicated to promoting academic excellence and research, making ICoSMEd 2023 a significant milestone for global knowledge exchange. The conference’s theme, “Emerging Trends and Application of AI and Machine Learning for Development Research Science and Education,” highlights its commitment to exploring the transformative potential of AI and machine learning in science, research, and education. ICoSMEd 2023 covers a wide range of topics within the Faculty of Mathematics and Natural Sciences, encouraging discussions on Mathematics, Physics, Biological Sciences, Chemical Sciences, Environmental Sciences, Geosciences, and Computer Sciences, along with innovative teaching approaches in Science and Mathematics Education. This international conference aims to create a collaborative environment for academics, researchers, and professionals worldwide to exchange knowledge, share research findings, and build lasting connections, shaping the future of science and education through the lens of AI and machine learning.