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Leyla Marandi; Eleanor Haworth; Vikram Koundinya; Katherine Webb-Martinez; Kit Alviz – Journal of Extension, 2024
During the COVID-19 pandemic, organizations increased virtual programming and adoption of online technologies. This article outlines the University of California assessment of tools for gathering data on participant learning outcomes from virtual educational programs. After assessing colleagues' experiences and searching for new web applications,…
Descriptors: Educational Technology, Online Courses, Data Collection, Information Storage
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Hagadone-Bedir, Mariah; Voithofer, Rick; Kulp, Jessica T. – British Journal of Educational Technology, 2023
This conceptual study uses dynamic systems theory (DST) and phenomenology as lenses to examine data privacy implications surrounding wearable devices that incorporate stakeholder, contextual and technical factors. Wearable devices can impact people's behaviour and sense of self, and DST and phenomenology provide complementary approaches for…
Descriptors: Privacy, Information Security, Assistive Technology, Systems Approach
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Schechter, Chen; Qadach, Mowafaq; Da'as, Rima'a – Learning Organization, 2022
Purpose: Organizational learning (OL) has been conceptualized as a critical component in school change processes. Nevertheless, OL in the school context is still somewhat obscure and difficult to comprehend, thus it is rarely translated into operational structures and processes and later permanently sustained. The purpose of this study is to…
Descriptors: Organizational Learning, Data Collection, Elementary School Teachers, Teacher Attitudes
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Xie, Charles; Li, Chenglu; Ding, Xiaotong; Jiang, Rundong; Sung, Shannon – Journal of Chemical Education, 2021
Digital sensors allow people to collect a large quantity of data in chemistry experiments. Using infrared thermography as an example, we show that this kind of data, in conjunction with videos that stream the chemical phenomena under observation from a vantage point, can be used to construct digital twins of experiments to support science…
Descriptors: Chemistry, Video Technology, Technology Integration, Laboratory Experiments
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Wise, Alyssa Friend – Journal of the Learning Sciences, 2020
This article discusses how each of the papers in this special issue explored some combination of subject, audience, and data scientist perspectives with an eye toward helping students situate their relationship to data. Specifically, within the data scientist perspective, the papers examined a variety of ways in which students can relate to data…
Descriptors: Data, Information Science Education, Multiple Literacies, Relationship
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Lee, Victor R.; Dubovi, Ilana – Journal of the Learning Sciences, 2020
This article reports on an exploratory study of quantitative data use situated in families' management routines while taking care of a child with Type 1 diabetes (T1D). T1D treatment requires frequent measurement and recording of numerical data about blood sugar concentration, nutritional intake, and insulin dosage at the child's home, at school,…
Descriptors: Family Involvement, Diabetes, Child Caregivers, Information Storage
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Simeone, Michael – portal: Libraries and the Academy, 2020
Governments around the world propose to improve urban life by creating smart cities filled with sensors and other digital technologies that would collect large amounts of data about citizens and their activities. Ideally, smart cities would use the information they gather to enhance the urban environment and improve the quality of life of their…
Descriptors: Municipalities, Urban Environment, Data Collection, Quality of Life
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Brun, Armelle; Bonnin, Geoffray; Castagnos, Sylvain; Roussanaly, Azim; Boyer, Anne – International Journal of Information and Learning Technology, 2019
Purpose: The purpose of this paper is to present the METAL project, a French open learning analytics (LA) project for secondary school, that aims at improving the quality of teaching. The originality of METAL is that it relies on research through exploratory activities and focuses on all the aspects of a learning analytics environment.…
Descriptors: Foreign Countries, Learning Analytics, Secondary Schools, Educational Quality
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van Baalen, Sebastian – Research Ethics, 2018
Information communications technologies (ICTs) like laptops, smartphones and portable storage devices facilitate travel, communication and documentation for researchers who conduct fieldwork. But despite increasing awareness about the ethical complications associated with using ICTs among journalists and humanitarians, there are few reflections on…
Descriptors: Information Technology, Internet, Ethics, Information Security
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Loy, Adam; Kuiper, Shonda; Chihara, Laura – Journal of Statistics Education, 2019
This article describes a collaborative project across three institutions to develop, implement, and evaluate a series of tutorials and case studies that highlight fundamental tools of data science--such as visualization, data manipulation, and database usage--that instructors at a wide-range of institutions can incorporate into existing statistics…
Descriptors: Undergraduate Study, Data Collection, Data Analysis, Statistics
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Parks, Rodney; Parrish, Jesse; Taylor, Alexander – College and University, 2018
Learners of all types must be able to represent their achievements to prospective employers and education institutions to prove that they have the requisite knowledge and skills for success. The most recognized means by which students represent themselves is the credential. As in many other industries that engage with customers, partners, and…
Descriptors: Credentials, Academic Records, College Students, Employment Qualifications
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Neves, Daniel Eugênio; Brandão, Wladmir Cardoso; Ishitani, Lucila – Informatics in Education, 2017
Although widely used, the SCORM metadata model for content aggregation is difficult to be used by educators, content developers and instructional designers. Particularly, the identification of contents related with each other, in large repositories, and their aggregation using metadata as defined in SCORM, has been demanding efforts of computer…
Descriptors: Metadata, Information Storage, Information Management, Information Retrieval
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Zheng, Qiujie; Lu, Yonggang – Teaching Statistics: An International Journal for Teachers, 2016
In the era of Big Data, because of diminishing cost of data collection and storage, a large number of statistical tests may even possibly be conducted all together by a high school student to seek for some "exciting" new scientific findings. In this article, we propose an interesting approach to introduce students to some important…
Descriptors: High School Students, Statistics, Data Collection, Information Storage
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Schneider, Jack; Jacobsen, Rebecca; White, Rachel S.; Gehlbach, Hunter – Teachers College Record, 2018
Purpose/Objective: Under the reauthorized Every Student Succeeds Act (ESSA), states and districts retain greater discretion over the measures included in school quality report cards. Moreover, ESSA now requires states to expand their measurement efforts to address factors like school climate. This shift toward more comprehensive measures of school…
Descriptors: Urban Schools, School Districts, Stakeholders, Educational Quality
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Liu, Sanya; Hu, Zhenfan; Peng, Xian; Liu, Zhi; Cheng, H. N. H.; Sun, Jianwen – International Journal of Distance Education Technologies, 2017
In a MOOC environment, each student's interaction with the course content is a crucial clue for learning analytics, which offers an opportunity to record learner activity of unprecedented scale. In online learning, the educators and the administrators need to get informed with students' learning states since the performance of unsupervised…
Descriptors: Online Courses, Electronic Learning, Cognitive Style, Educational Research
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