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Leonora Kaldaras; Kevin Haudek; Joseph Krajcik – International Journal of STEM Education, 2024
We discuss transforming STEM education using three aspects: learning progressions (LPs), constructed response performance assessments, and artificial intelligence (AI). Using LPs to inform instruction, curriculum, and assessment design helps foster students' ability to apply content and practices to explain phenomena, which reflects deeper science…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, STEM Education, Learning Trajectories
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Rodríguez, Patricio; Villanueva, Alexis; Dombrovskaia, Lioubov; Valenzuela, Juan Pablo – Education and Information Technologies, 2023
School dropout is a structural problem which permanently penalizes students and society in areas such as low qualification jobs, higher poverty levels and lower life expectancy, lower pensions, and higher economic burden for governments. Given these high consequences and the surge of the problem due to COVID-19 pandemic, in this paper we propose a…
Descriptors: Foreign Countries, Schools, Dropout Prevention, Methods
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Christopher J. Harris; Eric Wiebe; Shuchi Grover; James W. Pellegrino – Community for Advancing Discovery Research in Education (CADRE), 2023
Major developments over the past two decades in STEM education and classroom assessment provide a compelling argument for shifting the focus of assessment toward the classroom where its most powerful benefits can be realized. The increased emphasis on diversity, equity, and inclusion in education puts increased scrutiny on assessment practices and…
Descriptors: Student Evaluation, STEM Education, Educational Trends, Equal Education