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Showing 46 to 60 of 185 results Save | Export
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Killian, Benjamin J.; Singletary, Steven – Journal of Chemical Education, 2022
We present a modernization of the undergraduate physical chemistry laboratory experiment for determining the speed of sound in various gases from resonant frequencies in a spherical resonator. The resonator (schematic IR = 7.5 cm) is constructed by 3D printing with eco-friendly poly(lactic acid), a commercially viable alternative to traditional…
Descriptors: Undergraduate Study, College Science, Chemistry, Physics
Arawjo, Ian Anders – ProQuest LLC, 2023
I situate computer programming as a cultural practice. I develop this perspective in two ways: exploring how programming practices can support intercultural learning, and examining how programming tools themselves embed cultural assumptions and values. For the former, I study how relationships across difference are formed over computing activities…
Descriptors: Computer Science Education, Programming, Cultural Influences, Elementary Secondary Education
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Marwan, Samiha; Akram, Bita; Barnes, Tiffany; Price, Thomas W. – IEEE Transactions on Learning Technologies, 2022
Theories on learning show that formative feedback that is immediate, specific, corrective, and positive is essential to improve novice students' motivation and learning. However, most prior work on programming feedback focuses on highlighting student's mistakes, or detecting failed test cases after they submit a solution. In this article, we…
Descriptors: Feedback (Response), Formative Evaluation, Programming, Coding
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Price, Thomas; Zhi, Rui; Barnes, Tiffany – International Educational Data Mining Society, 2017
In this paper we present a novel, data-driven algorithm for generating feedback for students on open-ended programming problems. The feedback goes beyond next-step hints, annotating a student's whole program with suggested edits, including code that should be moved or reordered. We also build on existing work to design a methodology for evaluating…
Descriptors: Feedback (Response), Computer Software, Data Analysis, Programming
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Andrzejewska, Magdalena; Kotoniak, Pawel – Informatics in Education, 2020
The article discusses the findings of longitudinal studies (three stages spanning 6 months) which were to investigate the process of acquiring the ability to comprehension program code by the computer science students having started to learn to program. The studies were conducted with the use of a knowledge measurement test, the diagnostic survey,…
Descriptors: Programming, Computer Science Education, Knowledge Level, Eye Movements
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Abrahams, Julia – Information Processing & Management, 1994
Discusses the minimum average codeword length coding under the constraint that the codewords are monotonically nondecreasing in length. Bounds on the average length of an optimal monotonic code are derived, and sufficient conditions are given such that algorithms for optimal alphabetic codes can be used to find the optimal monotonic code. (six…
Descriptors: Algorithms, Coding, Illustrations, Information Theory
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Da Cruz Alves, Nathalia; Gresse Von Wangenheim, Christiane; C.R. Hauck, Jean – Informatics in Education, 2019
As computing has become an integral part of our world, demand for teaching computational thinking in K-12 has increased. One of its basic competences is programming, often taught by learning activities without a predefined solution using block-based visual programming languages. Automatic assessment tools can support teachers with their assessment…
Descriptors: Computation, Thinking Skills, Competence, Elementary Secondary Education
Weiman, Carl F. R.; Rothstein, Jerome – 1972
This study has investigated some pattern recognition capabilities of devices consisting of arrays of cooperating elements acting in parallel. The problem of recognizing straight lines in general position on the quadratic lattice has been completely solved by applying parallel acting algorithms to a special code for lines on the lattice. The…
Descriptors: Algorithms, Computer Science, Computers, Doctoral Dissertations
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Walters, Courtney E.; Nitin, Rachana; Margulis, Katherine; Boorom, Olivia; Gustavson, Daniel E.; Bush, Catherine T.; Davis, Lea K.; Below, Jennifer E.; Cox, Nancy J.; Camarata, Stephen M.; Gordon, Reyna L. – Journal of Speech, Language, and Hearing Research, 2020
Purpose: Data mining algorithms using electronic health records (EHRs) are useful in large-scale population-wide studies to classify etiology and comorbidities (Casey et al., 2016). Here, we apply this approach to developmental language disorder (DLD), a prevalent communication disorder whose risk factors and epidemiology remain largely…
Descriptors: Language Impairments, Developmental Disabilities, Automation, Disability Identification
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Choffin, Benoît; Popineau, Fabrice; Bourda, Yolaine – Journal of Educational Data Mining, 2021
Adaptive spacing algorithms are powerful tools for helping learners manage their study time efficiently. By personalizing the temporal distribution of retrieval practice of a given piece of knowledge, they improve learners' long-term memory retention compared to fixed review schedules. However, such algorithms are generally designed for the pure…
Descriptors: Heuristics, Time Factors (Learning), Memorization, Time Management
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Pontes, Thiago Bessa; Miranda, Guilhermina Lobato; Celani, Gabriela Caffarena – Education Sciences, 2018
Difficulties in learning computer programming for novices is a subject of abundant scientific literature. These difficulties seem to be accentuated in students whose academic choice is not computation, like architecture students. However, they need to study programming, since it is part of the new academic curricula. The results presented here are…
Descriptors: Programming, Computer Science Education, Teaching Methods, Student Motivation
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Cai, Zhiqiang; Marquart, Cody; Shaffer, David W. – International Educational Data Mining Society, 2022
Regular expression (regex) coding has advantages for text analysis. Humans are often able to quickly construct intelligible coding rules with high precision. That is, researchers can identify words and word patterns that correctly classify examples of a particular concept. And, it is often easy to identify false positives and improve the regex…
Descriptors: Coding, Classification, Artificial Intelligence, Engineering Education
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Thrall, Elizabeth S.; Lee, Seung Eun; Schrier, Joshua; Zhao, Yijun – Journal of Chemical Education, 2021
Techniques from the branch of artificial intelligence known as machine learning (ML) have been applied to a wide range of problems in chemistry. Nonetheless, there are very few examples of pedagogical activities to introduce ML to chemistry students in the chemistry education literature. Here we report a computational activity that introduces…
Descriptors: Undergraduate Students, Artificial Intelligence, Man Machine Systems, Science Education
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Broisin, Julien; Hérouard, Clément – International Educational Data Mining Society, 2019
How to support students in programming learning has been a great research challenge in the last years. To address this challenge, prior works have mainly focused on proposing solutions based on syntactic analysis to provide students with personalized feedback about their grammatical programming errors and misconceptions. However, syntactic…
Descriptors: Semantics, Programming, Syntax, Feedback (Response)
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Gunckel, Kristin L.; Covitt, Beth A.; Love, Garrett; Cooper-Wagoner, Judith A.; Moreno, Dan – Science Teacher, 2022
Computers and computer algorithms have contributed to important scientific advances by allowing scientists and engineers to create and use sophisticated models to explain and predict phenomena. Yet, of the eight "Next Generation Science Standards" ("NGSS") science and engineering practices, computational thinking may be the…
Descriptors: Science Education, Computation, Thinking Skills, Learning Activities
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