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Showing 1 to 15 of 47 results Save | Export
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Muhammad Aliman; Sumarmi; Silvia Marni – Journal of Social Studies Education Research, 2024
The purpose of this study is to determine the spatial thinking ability of high school students using indicators from Sharpe-Huynh model. These indicators include analysis, spatial interaction, scale, representation, comprehensiveness, and application. Furthermore, this study examined the effect of Earthcomm learning on student's spatial thinking…
Descriptors: Spatial Ability, Thinking Skills, Skill Development, Earth Science
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Zvorykin, Ilya Yu; Katkova, Mariia R.; Maslennikova, Yulia V. – Physics Education, 2022
In this article, we propose a simple and accessible model of a magnetic levitator fitted with a Hall sensor. This model also allows to determine the magnitude of the magnetic field within the levitator working volume. Students can also compare the experimental magnetic field values to reference values in magnetism textbooks. This Arduino-based…
Descriptors: Magnets, Science Instruction, Science Experiments, Laboratory Equipment
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Hsiao, Hsien-Sheng; Chen, Jyun-Chen; Chen, Jhen-Han; Chien, Yu-Hung; Chang, Chung-Pu; Chung, Guang-Han – Educational Technology Research and Development, 2023
Since the late twentieth century, with the development of the Internet of Things (IoT), the IoT covers the application of comprehensive knowledge and technology in the fields of circuitry, physics, mechanics, and information, making it a suitable topic for hands-on science, technology, engineering, and mathematics (STEM) activities. The IoT covers…
Descriptors: Gamification, Models, High School Students, Programming
Yi Gui – ProQuest LLC, 2024
This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…
Descriptors: Writing Tests, Natural Language Processing, Writing Evaluation, Scoring
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Shakur, Asif; Schwartz, Joseph – Physics Teacher, 2021
The new normal imposed on us by the COVID-19 pandemic restricted the traditional ways we would teach high school students who are eager to participate in introductory astronomy projects on our university campus. This turned out to be a blessing in disguise as we were forced to come up with creative ways to get around this obstacle. The outcome is…
Descriptors: Teaching Methods, High School Students, Astronomy, Science Instruction
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Picones, Gio; PaaBen, Benjamin; Koprinska, Irena; Yacef, Kalina – International Educational Data Mining Society, 2022
In this paper, we propose a novel approach to combine domain modelling and student modelling techniques in a single, automated pipeline which does not require expert knowledge and can be used to predict future student performance. Domain modelling techniques map questions to concepts and student modelling techniques generate a mastery score for a…
Descriptors: Prediction, Academic Achievement, Learning Analytics, Concept Mapping
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Chenglu Li; Wanli Xing; Walter Leite – British Journal of Educational Technology, 2022
A discussion forum is a valuable tool to support student learning in online contexts. However, interactions in online discussion forums are sparse, leading to other issues such as low engagement and dropping out. Recent educational studies have examined the affordances of conversational agents (CA) powered by artificial intelligence (AI) to…
Descriptors: Computer Mediated Communication, Group Discussion, Artificial Intelligence, Safety
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Kostousov, Sergei A.; Simonova, Irina V. – International Association for Development of the Information Society, 2019
The purpose of the article is to identify conditions for the effective use of visual modeling tools that can help reduce the difficulty level of solving problems during the teaching high school students programming. Visual modeling tools are a type of software that allows you to create visual abstractions that reproduce concepts and objects of the…
Descriptors: Visual Aids, Models, Problem Solving, Computer Science Education
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El Bedewy, Shereen; Lavicza, Zsolt; Haas, Ben; Lieban, Diego – Education Sciences, 2022
In this paper we propose STEAM practices that would foster mathematics learning through modelling architecture while connecting to culture and history. The architectural modelling process is applied by the teachers as participants of these practices from different countries allowing a broad cultural and historical connection to mathematics…
Descriptors: STEM Education, Architectural Education, Foreign Countries, History Instruction
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Isiordia, Marilu; Ferrer, Emilio – Educational and Psychological Measurement, 2018
A first-order latent growth model assesses change in an unobserved construct from a single score and is commonly used across different domains of educational research. However, examining change using a set of multiple response scores (e.g., scale items) affords researchers several methodological benefits not possible when using a single score. A…
Descriptors: Educational Research, Statistical Analysis, Models, Longitudinal Studies
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Lucas, Krista L. – Science Activities: Projects and Curriculum Ideas in STEM Classrooms, 2021
Molecular processes are highly complex, and are frequently difficult for high school and college students to comprehend. Because of the importance of visualization in learning, along with formative assessment of student understanding, utilization of 3D modeling software aids both educators and students alike. The activity described below required…
Descriptors: Molecular Biology, Science Instruction, Teaching Methods, Scientific Concepts
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Qazdar, Aimad; Er-Raha, Brahim; Cherkaoui, Chihab; Mammass, Driss – Education and Information Technologies, 2019
The use of machine learning with educational data mining (EDM) to predict learner performance has always been an important research area. Predicting academic results is one of the solutions that aims to monitor the progress of students and anticipates students at risk of failing the academic pathways. In this paper, we present a framework for…
Descriptors: Data Analysis, Academic Achievement, At Risk Students, High School Students
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Sunarto, M. J. Dewiyani; Hariadi, Bambang; Sagirani, Tri; Amelia, Tan; Lemantara, Julianto – International Journal of Instruction, 2020
The purpose of this study is to develop a Web- and Android-based learning application for high school students, named MoLearn. To meet teacher needs, a preliminary study was conducted by conducting interviews and field observations. The design and development follow the ADDIE model, with stages namely (1) analysis of needs, (2) design of…
Descriptors: Teaching Methods, Learning Processes, Computer Software, Science Teachers
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Denson, Cameron; Kelly, Daniel; Clark, Aaron – Engineering Design Graphics Journal, 2018
Binkley et al. (2012) contends that the economy and workplace for the 21st Century will not lie in the routine tasks of the past, instead emphasis will be put on the ability of students to communicate, share and use information to solve increasingly complex problems. This is especially true of individuals who chose to pursue careers in the…
Descriptors: Self Efficacy, Self Concept Measures, Visual Aids, Models
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Santos-Trigo, Manuel; Reyes-Rodriguez, Aaron – International Journal of Mathematical Education in Science and Technology, 2016
Mathematical tasks are crucial elements for teachers to orient, foster and assess students' processes to comprehend and develop mathematical knowledge. During the process of working and solving a task, searching for or discussing multiple solution paths becomes a powerful strategy for students to engage in mathematical thinking. A simple task that…
Descriptors: Problem Solving, Geometry, Mathematics Instruction, Geometric Concepts
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