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Melhuish, Kathleen; Guajardo, Lino; Dawkins, Paul C.; Zolt, Holly; Lew, Kristen – Educational Studies in Mathematics, 2023
In many advanced mathematics courses, comprehending theorems and proofs is an essential activity for both students and mathematicians. Such activity requires readers to draw on relevant meanings for the concepts involved; however, the ways that concept meaning may shape comprehension activity is currently undertheorized. In this paper, we share a…
Descriptors: Algorithms, Comprehension, Mathematical Logic, Mathematical Concepts
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Kather, Philipp; Duran, Rodrigo; Vahrenhold, Jan – ACM Transactions on Computing Education, 2022
Previous studies on writing and understanding programs presented evidence that programmers beyond a novice stage utilize plans or plan-like structures. Other studies on code composition showed that learners have difficulties with writing, reading, and debugging code where interacting plans are merged into a short piece of code. In this article, we…
Descriptors: Eye Movements, Coding, Algorithms, Schemata (Cognition)
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Siu-Cheung Kong; Wei Shen – Interactive Learning Environments, 2024
Logistic regression models have traditionally been used to identify the factors contributing to students' conceptual understanding. With the advancement of the machine learning-based research approach, there are reports that some machine learning algorithms outperform logistic regression models in terms of prediction. In this study, we collected…
Descriptors: Student Characteristics, Predictor Variables, Comprehension, Computation
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Mike, Koby; Hazzan, Orit – IEEE Transactions on Education, 2023
Contribution: This article presents evidence that electrical engineering, computer science, and data science students, participating in introduction to machine learning (ML) courses, fail to interpret the performance of ML algorithms correctly, since they fail to consider the application domain. This phenomenon is referred to as the domain neglect…
Descriptors: Engineering Education, Computer Science Education, Data Science, Introductory Courses
Landauer, Thomas K., Ed.; McNamara, Danielle S., Ed.; Dennis, Simon, Ed.; Kintsch, Walter, Ed. – Routledge, Taylor & Francis Group, 2007
"The Handbook of Latent Semantic Analysis" is the authoritative reference for the theory behind Latent Semantic Analysis (LSA), a burgeoning mathematical method used to analyze how words make meaning, with the desired outcome to program machines to understand human commands via natural language rather than strict programming protocols.…
Descriptors: Semantics, Natural Language Processing, Philosophy, Artificial Intelligence
Zoltowski, Carla B.; And Others – 1992
This paper describes how a constraint dependency grammar (CDG) parser performs a syntactic analysis of a single sentence (as part of a speech recognition system). The paper extends an existing CDG (developed by H. Maruyama) to process a lattice or graph of sentence hypotheses instead of separate text strings. The paper also describes how the CDG…
Descriptors: Algorithms, Comprehension, Language Processing, Language Role
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Scanlan, David A. – Computers in the Schools, 1989
Describes two studies of undergraduates that examined learner and gender preferences for structured flowcharts versus pseudocode in the comprehension of short, complex algorithms. Research dealing with algorithm comprehension and flowcharts is reviewed, hypotheses tested are explained, implications for instructors and instructional materials are…
Descriptors: Algorithms, Comprehension, Computer Science Education, Flow Charts
Williams, Carol G. – 1995
Reform efforts in mathematics aim to increase conceptual understanding, an aim that can be supported through concept maps. This study compared the conceptual knowledge of function held by college students in reform and traditional calculus sections at a large state university. Fourteen students from reform sections and 14 from traditional sections…
Descriptors: Algorithms, Calculus, College Students, Comprehension
Cai, Jinfa; Moyer, John C.; Grochowski, Nancy J. – 1997
Two studies are reported that explore the effectiveness of instruction in promoting students' conceptual understanding of the average concept using a leveling model and an open-ended problem-solving approach. One teacher and her 46 sixth-grade students participated in the first study. One year later, the second study was conducted with the same…
Descriptors: Algorithms, College School Cooperation, Comprehension, Concept Formation