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Sagrans, Jacob; Mokros, Janice; Voyer, Christine; Harvey, Meggie – Science Teacher, 2022
The use of large, open-source data sets is ubiquitous in scientific research. Scientists--ranging from meteorologists to chemists to epidemiologists--are researching and investigating critical questions using data that they have not themselves collected. To contribute to the growing effort to bring data science into classrooms, the authors have…
Descriptors: Data Analysis, Science Instruction, High School Teachers, Science Teachers
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
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
Birney, Lauren; McNamara, Denise – Journal of Curriculum and Teaching, 2021
In an increasingly data driven world, the need for a qualified STEM workforce is essential. Increasing the diversity of this workforce increases the social and economic possibilities for the individual as well as national economic status and global prominence in innovation and technology. The Curriculum and Community Enterprise for Restoration…
Descriptors: Disadvantaged, STEM Education, Disproportionate Representation, Diversity
Berland, Matthew; Davis, Don; Smith, Carmen Petrick – International Journal of Computer-Supported Collaborative Learning, 2015
AMOEBA is a unique tool to support teachers' orchestration of collaboration among novice programmers in a non-traditional programming environment. The AMOEBA tool was designed and utilized to facilitate collaboration in a classroom setting in real time among novice middle school and high school programmers utilizing the IPRO programming…
Descriptors: Computer Science Education, Active Learning, Programming, Novices
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
Ayebi-Arthur, Kofi – Online Submission, 2011
The under-representation of females in Information and Communication Technology (ICT) fields of study and careers continues to attract considerable attention. This article discusses findings of a research that investigated interest in ICT studies and careers among female secondary school students from schools in three districts in the Central…
Descriptors: Foreign Countries, Developing Nations, Computer Science, Science Careers
Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
Papastergiou, M. – Computers & Education, 2008
This study investigated Greek high school students' intentions and motivation towards and against pursuing academic studies in Computer Science (CS), the influence of the family and the scholastic environment on students' career choices, students' perceptions of CS and the Information Technology (IT) profession as well as students' attendance at…
Descriptors: Student Attitudes, Females, Self Efficacy, Student Motivation
Anderson, Neil; Klein, Mary; Lankshear, Colin – Australian Educational Computing, 2005
This paper reports preliminary work in an ARC Linkage Project involving collaboration among James Cook University, Education Queensland, and Technology One (a Queensland based company). The project aims to identify and interpret factors associated with low female participation rates in Information and Communications Technology (ICT) professional…
Descriptors: Foreign Countries, Reference Groups, Disproportionate Representation, Focus Groups
Elwess, Nancy L.; Latourelle, Sandra M.; Cauthorn, Olivia – Journal of Biological Education, 2005
One of the hottest areas of science today is the field in which biology, information technology,and computer science are merged into a single discipline called bioinformatics. This field enables the discovery and analysis of biological data, including nucleotide and amino acid sequences that are easily accessed through the use of computers. As…
Descriptors: Genetics, Computers, Molecular Biology, Information Technology
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries