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Clare Waterman; Katherine Shields; Tracy McMahon – Education Development Center, Inc., 2022
This Toolkit presents lessons learned from the process of implementing a new system for collecting student-level work-based learning (WBL) data in high school career and technical education (CTE) programs. As part of a study on career academies and WBL, a research team worked closely with a district CTE office and school staff to design and…
Descriptors: Vocational Education, Work Experience Programs, Data Collection, Goal Orientation
Danielle J. Malone; J. B. Firestone; J. A. Morrison; S. N. Newcomer; L. K. Lightner – Science Activities: Projects and Curriculum Ideas in STEM Classrooms, 2024
This paper describes the integration of geographic information system (GIS) technology in a high school environmental science classroom, specifically examining the impact of GIS technology on student engagement, critical thinking, and interdisciplinary learning for Education for Sustainability (EfS). This environmental science classroom utilized…
Descriptors: Sustainability, Environmental Education, Geographic Information Systems, High Schools
Rafiepour, Abolfazl; Abdolahpour, Kazem; Farsani, Danyal – Mathematics Teaching Research Journal, 2022
The main purpose of this study is to develop a conceptual understanding of the irrational number of the square root of 2 ([square root]2 ). Participants in the study were 20 ninth-grade male students. Activity Theory was used as a framework to show the development of the conceptual understanding. Since this study was conducted during the COVID-19…
Descriptors: Concept Formation, Mathematical Concepts, Mathematics Instruction, COVID-19
Podworny, Susanne; Hüsing, Sven; Schulte, Carsten – Statistics Education Research Journal, 2022
Data science surrounds us in contexts as diverse as climate change, air pollution, route-finding, genomics, market manipulation, and movie recommendations. To open the "data-science-black-box" for lower secondary school students, we developed a data science teaching unit focusing on the analysis of environmental data, which we embedded…
Descriptors: Statistics Education, Programming, Programming Languages, Data Analysis
Xing, Wanli; Li, Chenglu; Chen, Guanhua; Huang, Xudong; Chao, Jie; Massicotte, Joyce; Xie, Charles – Journal of Educational Computing Research, 2021
Integrating engineering design into K-12 curricula is increasingly important as engineering has been incorporated into many STEM education standards. However, the ill-structured and open-ended nature of engineering design makes it difficult for an instructor to keep track of the design processes of all students simultaneously and provide…
Descriptors: Engineering Education, Design, Feedback (Response), Student Evaluation
Sami, Jasmine B.; Stein, Zachary; Sinclair, Krystin; Medsker, Larry – Journal of STEM Education: Innovations and Research, 2020
Members of the Data Science Program at George Washington University (GWU) designed and implemented a tuition-free two-week summer camp at GWU for high-school students from the Washington Metro Area. The United States Department of Agriculture (USDA) Office of the Chief Information Officer and his staff were our main partners in the project. The…
Descriptors: Data, Data Analysis, Information Utilization, High School Students
Zhang, Helen Z.; Xie, Charles; Nourian, Saeid – International Journal of Technology and Design Education, 2018
This paper investigates iteration and fixation in design by mining digital footprints left by designers. High school students used computer-aided design software to create buildings in an urban area, with the goal of applying passive solar design techniques to ensure optimal solar gains of the buildings throughout a year. Students were required to…
Descriptors: Design, Computer Software, High School Students, Computer Assisted Instruction
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
Edwards, John; Hart, Kaden; Shrestha, Raj – Journal of Educational Data Mining, 2023
Analysis of programming process data has become popular in computing education research and educational data mining in the last decade. This type of data is quantitative, often of high temporal resolution, and it can be collected non-intrusively while the student is in a natural setting. Many levels of granularity can be obtained, such as…
Descriptors: Data Analysis, Computer Science Education, Learning Analytics, Research Methodology
Kerrigan, Simon; Feng, Shihui; Vuthaluru, Rupa; Ifenthaler, Dirk; Gibson, David – International Association for Development of the Information Society, 2019
Problem-solving and collaboration are regarded as an essential part of 21st Century Skills. This study describes a task-focused approach to network analysis of trace data from collaborative problem-solving in a digital learning environment. The analysis framework builds and expands upon previous analyses of social ties as well as discourse…
Descriptors: Network Analysis, Problem Solving, Task Analysis, Data Analysis
Santiago Berrezueta Ed. – Lecture Notes in Educational Technology, 2023
The proceedings of the 18th edition of Latin American Conference on Learning Technologies (LACLO) demonstrates the developments in the research of learning science, learning resources, challenges and solutions. This Proceedings book showcases a collection of quality articles that explores and discusses trending topics in education in the upcoming…
Descriptors: Educational Technology, Active Learning, Design, Telecommunications
Owens-Hartman, Amy R. – ProQuest LLC, 2015
The purpose of this case study was to examine student technology choices when given the freedom to choose technology devices to complete a project-based learning activity in a content area of study. The study also analyzed factors affecting technology choice as well as how technology proficiency scores aligned to technology choices. Patterns and…
Descriptors: High School Students, Technology Uses in Education, Preferences, Case Studies
Boutnaru, Shlomi; Hershkovitz, Arnon – Interdisciplinary Journal of e-Skills and Lifelong Learning, 2015
In recent years, schools (as well as universities) have added cyber security to their computer science curricula. This topic is still new for most of the current teachers, who would normally have a standard computer science background. Therefore the teachers are trained and then teaching their students what they have just learned. In order to…
Descriptors: Computer Software, Computer Security, Programming Languages, Computer Science Education
Hung, Lai-Fa – Multivariate Behavioral Research, 2011
The process-component approach has become quite popular for examining many psychological concepts. A typical example is the model with internal restrictions on item difficulty (MIRID) described by Butter (1994) and Butter, De Boeck, and Verhelst (1998). This study proposes a hierarchical generalized random-situation random-weight MIRID. The…
Descriptors: Markov Processes, Computer Software, Psychology, Computation
Harford, Thomas C.; Yi, Hsiao-Ye; Freeman, Robert C. – Journal of Child & Adolescent Substance Abuse, 2012
This study examines associations between binge drinking and other substance use and perpetration of violence against self and others. Data were pooled from the 2003, 2005, and 2007 Youth Risk Behavior Surveys, yielding a sample of 43,172 U.S. high school students. A typology was constructed to reflect four categories of behaviors: other-directed…
Descriptors: High School Students, Correlation, Data Analysis, Multiple Regression Analysis
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