NotesFAQContact Us
Collection
Advanced
Search Tips
What Works Clearinghouse Rating
Showing 1 to 15 of 110 results Save | Export
Digital Promise, 2021
The Powerful Learning with Computational Thinking report explains how the Digital Promise team works with districts, schools, and teachers to make computational thinking ideas more concrete to practitioners for teaching, design, and assessment. We describe three powerful ways of using computers that integrate well with academic subject matter and…
Descriptors: Computation, Thinking Skills, Computer Uses in Education, Data Collection
Peer reviewed Peer reviewed
Direct linkDirect link
Hofmann, Andreas; Cross, Megan; Karow, Malte A.; Straub, Jan H.; Clemen, Christoph S.; Eichinger, Ludwig – Biochemistry and Molecular Biology Education, 2019
The Java software jBar consists of a graphical user interface that allows the user to customize and assemble an included script for R. The scripted R pipeline calculates means and standard errors/deviations for replicates of numerical bivariate data and generates presentations in the form of bar graphs. A two-sided Student's t test is carried out…
Descriptors: Data Analysis, Graphs, Computer Software, Computer Uses in Education
Peer reviewed Peer reviewed
Direct linkDirect link
McGarvey, David J. – Journal of Chemical Education, 2020
A laboratory experiment characterized by a whole-class data-pooling approach to generate a data set that can be used to test a model of the influence of ionic strength on electrolyte solubility is described and discussed. The design of the experiment makes efficient use of the laboratory period and releases time for instructional and dialogic…
Descriptors: Laboratory Experiments, Chemistry, Science Instruction, Computer Uses in Education
Peer reviewed Peer reviewed
Direct linkDirect link
Mkrttchian, Vardan; Gamidullaeva, Leyla; Finogeev, Alexey; Chernyshenko, Serge V.; Chernyshenko, Vsevolod; Amirov, Danis; Potapova, Irina – International Journal of Web-Based Learning and Teaching Technologies, 2021
To respond to the needs of digital transformation, universities must continue to play their role as proving ground for educating the future generation and innovation. The article is devoted to overview, discussion, and investigation of application in higher education of two modern information technologies: big data and internet of things. The…
Descriptors: Influence of Technology, Higher Education, Data, Internet
Peer reviewed Peer reviewed
Direct linkDirect link
Batt, Steven; Grealis, Tara; Harmon, Oskar; Tomolonis, Paul – Journal of Economic Education, 2020
"Doing economics" is an important theme of undergraduate economics programs. Capstone courses increasingly include instruction in "data literacy" and the STEM-related skills of quantitative and empirical methods. Because the professional discipline has moved in this direction and because of greater employer demand for these…
Descriptors: Economics Education, Undergraduate Students, Visual Aids, Data Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Corinne Thatcher Day – Mathematics Teacher: Learning and Teaching PK-12, 2025
Since data collection technologies has become a part of daily life, measurement and data requirements now permeate many state mathematics standards, beginning as early as kindergarten and extending through high school. For example, the Standards for Mathematical Content, recommend that kindergarteners "describe and compare measurable…
Descriptors: Middle School Mathematics, Middle School Students, Middle School Teachers, High School Students
Peer reviewed Peer reviewed
Direct linkDirect link
Lajoie, Susanne P. – International Journal of Artificial Intelligence in Education, 2021
I first met Jim Greer at the NATO Advanced Study Institute on Syntheses of Instructional Sciences and Computing Science for Effective Instructional Computing Systems in 1990 in Calgary, Canada. It was during this meeting that I came to realize that Jim was one of those rare individuals that could help "translate" computer science…
Descriptors: Models, Student Characteristics, Artificial Intelligence, Computer Uses in Education
Peer reviewed Peer reviewed
Direct linkDirect link
Vargas, Santiago; Zamirpour, Siavash; Menon, Shreya; Rothman, Arielle; Häse, Florian; Tamayo-Mendoza, Teresa; Romero, Jonathan; Sim, Sukin; Menke, Tim; Aspuru-Guzik, Alán – Journal of Chemical Education, 2020
The increasing integration of software and automation in modern chemical laboratories prompts special emphasis on two important skills in the chemistry classroom. First, students need to learn the technical skills involved in modern scientific computing and automation. Second, applying these techniques in practice requires effective collaboration…
Descriptors: Teamwork, Computer Uses in Education, Cooperative Learning, Automation
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Pardo, Abelardo; Bartimote-Aufflick, Kathryn; Shum, Simon Buckingham; Dawson, Shane; Gao, Jing; Gaševic, Dragan; Leichtweis, Steve; Liu, Danny; Martínez-Maldonado, Roberto; Mirriahi, Negin; Moskal, Adon Christian Michael; Schulte, Jurgen; Siemens, George; Vigentini, Lorenzo – Journal of Learning Analytics, 2018
The learning analytics community has matured significantly over the past few years as a middle space where technology and pedagogy combine to support learning experiences. To continue to grow and connect these perspectives, research needs to move beyond the level of basic support actions. This means exploring the use of data to prove richer forms…
Descriptors: Individualized Instruction, Data Analysis, Learning, Feedback (Response)
Peer reviewed Peer reviewed
Direct linkDirect link
Chang, Ting-Cheng; Wang, Hui – EURASIA Journal of Mathematics, Science & Technology Education, 2016
This paper proposes a cloud multi-criteria group decision-making model for teacher evaluation in higher education which is involving subjectivity, imprecision and fuzziness. First, selecting the appropriate evaluation index depending on the evaluation objectives, indicating a clear structural relationship between the evaluation index and…
Descriptors: Decision Making, Models, Teacher Evaluation, College Faculty
Peer reviewed Peer reviewed
Direct linkDirect link
Williams, Peter – Assessment & Evaluation in Higher Education, 2017
Assessment in higher education has focused on the performance of individual students. This focus has been a practical as well as an epistemic one: methods of assessment are constrained by the technology of the day, and in the past they required the completion by individuals under controlled conditions of set-piece academic exercises. Recent…
Descriptors: Cooperative Learning, Student Evaluation, College Students, Data Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Nunn, John – Physics Education, 2016
A cordless mouse with an added reed switch is used as a wireless data logger to record every time the wheel of a trolley completes a revolution. The limitations of the system in terms of maximum clicking rate and spatial resolution are considered and data obtained from the descent of a trolley down a ramp at various different angles is analysed in…
Descriptors: Computer Peripherals, Computers, Computer Uses in Education, Computer Interfaces
Peer reviewed Peer reviewed
Direct linkDirect link
Pardo, Abelardo; Siemens, George – British Journal of Educational Technology, 2014
The massive adoption of technology in learning processes comes with an equally large capacity to track learners. Learning analytics aims at using the collected information to understand and improve the quality of a learning experience. The privacy and ethical issues that emerge in this context are tightly interconnected with other aspects such as…
Descriptors: Ethics, Privacy, Learning, Data Analysis
Rolleston, Rob; Howe, Richard; Sprague, Mary Ann – International Educational Data Mining Society, 2015
The field of education is undergoing fundamental change with the growing use of data. Fine-scale data collection at the item-response level is now possible. Xerox has developed a system that bridges the paper-to-digital divide by providing the well-established and easy-to-use paper interface to students, but digitizes the responses for scoring,…
Descriptors: Reports, Data, Computer Uses in Education, User Needs (Information)
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8