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Juan Antonio Martinez-Carrascal; Jorge Munoz-Gama; Teresa Sancho-Vinuesa – IEEE Transactions on Learning Technologies, 2024
Academic institutions dedicate a substantial effort to ensure the academic success of their students. At the course level, teachers recommend learning paths (RLPs) for students to guarantee the achievement of their learning outcomes. In terms of performance, these kinds of approaches are deemed more effective than others based uniquely on…
Descriptors: Online Courses, Mathematics Instruction, Undergraduate Students, Mathematics Achievement
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Yi Song; Peter van Rijn; Paul Deane; Szu-Fu Chao – Reading and Writing: An Interdisciplinary Journal, 2024
Argumentation skills are emphasized by the common core state standards (CCSS) and are viewed as essential for success in college, career, and life. Our project aims to develop formative assessment tasks measuring students' argumentative reading and writing skills. We used the framework of the "Discuss and Debate Ideas" key practice…
Descriptors: Persuasive Discourse, Reading Skills, Writing Skills, Common Core State Standards
Cheryl L. Engel – ProQuest LLC, 2024
The evolution of U.S. secondary school mathematics requirements throughout the 20th century included a significant shift towards more rigorous standards by the end of the century. Initially, many states required minimal or no mathematics for high school graduation. However, reforms led most states to adopt a 3-year mathematics requirement, with…
Descriptors: Middle School Students, Mathematics Instruction, STEM Education, Acceleration (Education)
Byung-Doh Oh – ProQuest LLC, 2024
Decades of psycholinguistics research have shown that human sentence processing is highly incremental and predictive. This has provided evidence for expectation-based theories of sentence processing, which posit that the processing difficulty of linguistic material is modulated by its probability in context. However, these theories do not make…
Descriptors: Language Processing, Computational Linguistics, Artificial Intelligence, Computer Software
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Pavel Chernyavskiy; Traci S. Kutaka; Carson Keeter; Julie Sarama; Douglas Clements – Grantee Submission, 2024
When researchers code behavior that is undetectable or falls outside of the validated ordinal scale, the resultant outcomes often suffer from informative missingness. Incorrect analysis of such data can lead to biased arguments around efficacy and effectiveness in the context of experimental and intervention research. Here, we detail a new…
Descriptors: Bayesian Statistics, Mathematics Instruction, Learning Trajectories, Item Response Theory
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Jonathan A. Supovitz; Caroline B. Ebby; Gregory Collins – American Journal of Education, 2024
Purpose: A growing trend in instructional improvement efforts is the use of formative assessment informed by research-based developmental trajectories of how students gain deeper understanding of subject matter content over time. This article reports the findings of a large-scale experimental study of an innovative mathematics professional…
Descriptors: Learning Trajectories, Formative Evaluation, Faculty Development, Elementary School Mathematics