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No Child Left Behind Act 20011
Showing 1 to 15 of 33 results Save | Export
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Zhang, Mengxue; Heffernan, Neil; Lan, Andrew – International Educational Data Mining Society, 2023
Automated scoring of student responses to open-ended questions, including short-answer questions, has great potential to scale to a large number of responses. Recent approaches for automated scoring rely on supervised learning, i.e., training classifiers or fine-tuning language models on a small number of responses with human-provided score…
Descriptors: Scoring, Computer Assisted Testing, Mathematics Instruction, Mathematics Tests
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Uwurukundo, Marie Sagesse; Maniraho, Jean François; Tusiime Rwibasira, Michael – Education and Information Technologies, 2022
We implemented GeoGebra software in Rwandan secondary schools to check its effectiveness during teaching and learning geometry concepts. The quasi-experimental design was used, and four schools were purposefully selected. Two schools were from Northern Province, while the other two were selected from Kigali city. A geometry-based test composed of…
Descriptors: Geometry, Computer Software, Mathematics Instruction, Concept Formation
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Yasuyuki Nakamura – International Association for Development of the Information Society, 2023
STACK is an online testing system that can automatically assess mathematical formulae. When working with STACK on a smartphone, inputting mathematical formulae is time-consuming; therefore, to solve this problem a mathematical formula input interface for smartphones has been developed based on the flick operation. However, since the time of…
Descriptors: Usability, Mathematics Instruction, Mathematical Formulas, Telecommunications
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Chimmalee, Benjamas; Anupan, Anuchit – International Journal of Instruction, 2022
Problem-solving is considered as an important skill for learning Mathematics. Integration of cloud technology into Model-Eliciting Activities (MEAs) has been considered as an instructional approach to study students' mathematical problem-solving abilities. The purposes of this study were to evaluate the suitability of the MEAs using cloud…
Descriptors: Models, Computer Software, Mathematics Instruction, Problem Solving
Julie Eberhard Smith – ProQuest LLC, 2024
This study investigated the effect a computer intervention program has on student proficiency in the Algebra 1 End of Course (EOC) examination. This study utilized the intervention math program IXL Math, a computerized program that targets individual students' skill practice and supports students' need to accelerate mastery of Algebra 1 skills in…
Descriptors: High School Students, Mathematics Instruction, Algebra, Intervention
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Kelsey E. Schenck; Doy Kim; Fangli Xia; Michael I. Swart; Candace Walkington; Mitchell J. Nathan – Grantee Submission, 2024
Access to body-based resources has been shown to augment cognitive processes, but not all movements equally aid reasoning. Interactive technologies, like dynamic geometry systems (DGS), potentially amplify the link between movement and geometric representation, thereby deepening students' understanding of geometric properties. This study…
Descriptors: Geometric Concepts, Task Analysis, Thinking Skills, Validity
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Farideh Hamidi; Shokoofeh Soleymani; Sara Dazy; Maryam Meshkat – Athens Journal of Education, 2024
This study strived to determine the effectiveness of integrative teaching of reading strategies and working memory on basic math and problem-solving skills. It is a quasi-experimental pretest-posttest study carried out on 50 second-graders from Chahashk Shandiz village in the academic year of 2020-2021 who were randomly selected by cluster…
Descriptors: Mathematics Instruction, Reading Strategies, Grade 2, Elementary School Students
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Birgin, Osman; Uzun Yazici, Kübra – Journal of Computer Assisted Learning, 2021
The aim of this study was to investigate the effect of using dynamic geometry software (GeoGebra) on the eighth-grade students' conceptual understanding and the retention of learning regarding linear equations and slope. In this study, a quasi-experimental design with pre-test, post-test and delayed post-test was employed. This study was conducted…
Descriptors: Geometry, Mathematics Instruction, Computer Software, Teaching Methods
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PaaBen, Benjamin; Dywel, Malwina; Fleckenstein, Melanie; Pinkwart, Niels – International Educational Data Mining Society, 2022
Item response theory (IRT) is a popular method to infer student abilities and item difficulties from observed test responses. However, IRT struggles with two challenges: How to map items to skills if multiple skills are present? And how to infer the ability of new students that have not been part of the training data? Inspired by recent advances…
Descriptors: Item Response Theory, Test Items, Item Analysis, Inferences
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Bosch, Nigel – Journal of Educational Data Mining, 2021
Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…
Descriptors: Accuracy, Learning Analytics, Models, National Competency Tests
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Barollet, Théo; Bouchez Tichadou, Florent; Rastello, Fabrice – International Educational Data Mining Society, 2021
In Intelligent Tutoring Systems (ITS), methods to choose the next exercise for a student are inspired from generic recommender systems, used, for instance, in online shopping or multimedia recommendation. As such, collaborative filtering, especially matrix factorization, is often included as a part of recommendation algorithms in ITS. One notable…
Descriptors: Intelligent Tutoring Systems, Prediction, Internet, Purchasing
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von Davier, Matthias; Tyack, Lillian; Khorramdel, Lale – Educational and Psychological Measurement, 2023
Automated scoring of free drawings or images as responses has yet to be used in large-scale assessments of student achievement. In this study, we propose artificial neural networks to classify these types of graphical responses from a TIMSS 2019 item. We are comparing classification accuracy of convolutional and feed-forward approaches. Our…
Descriptors: Scoring, Networks, Artificial Intelligence, Elementary Secondary Education
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Prextova, Tatiana; Klubal, Libor; Kostolányová, Katerina; Homanov, Zuzana; Gybas, Vojtech – International Association for Development of the Information Society, 2018
Individualization of instruction in a regular classroom is difficult. The paper explores the possibilities of using a mobile touch device and a web tool for time individualization in mathematics instruction. The paper compares the pros and cons of using an electronic and a regular (printed) test to determine students' needs. The results show that…
Descriptors: Individualized Instruction, Computer Software, Mathematics Instruction, Teaching Methods
Samosa, Resty C.; Barribal, Jemie; Cupan, Roschelle S.; Pagulayan, Jane R.; Tampipi, Jessalyn N. – Online Submission, 2021
This study assessed the effectiveness of an online-merge-offline Jamboard application as an innovation in teaching word problems to Grade 4 learners was evaluated in this study. The research evaluates a learner's level of mathematical word problem skills in terms of understanding, devising a plan, solving a problem, and interpreting, as well as…
Descriptors: Teaching Methods, Mathematics Instruction, Grade 4, Elementary School Students
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Joshi, Dirgha Raj; Singh, Kailash Bahadur – Mathematics Teaching Research Journal, 2020
GeoGebra is a dynamic geometric software developed for the support of mathematics teaching. The aim of this research was to study the effect of GeoGebra on mathematics achievement in relation to the linear equations and explore the perception of students towards the use of GeoGebra in teaching mathematics. Forty students were participating in this…
Descriptors: Mathematical Concepts, Equations (Mathematics), Computer Software, Teaching Methods
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