Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 5 |
Since 2016 (last 10 years) | 10 |
Since 2006 (last 20 years) | 21 |
Descriptor
Classification | 21 |
Open Source Technology | 21 |
Computer Software | 10 |
Models | 8 |
Comparative Analysis | 7 |
Foreign Countries | 7 |
Electronic Publishing | 6 |
Accuracy | 5 |
Data Analysis | 5 |
Information Retrieval | 5 |
Prediction | 5 |
More ▼ |
Source
Author
Amiel, Tel | 1 |
Aristeidou, Maria | 1 |
Bird, Steven | 1 |
Blobstein, Ariel | 1 |
Borges, Endler Marcel | 1 |
C. J. Van Lissa | 1 |
Carter, James | 1 |
Chunyang Fan | 1 |
Cohen, Anat | 1 |
D. Anadria | 1 |
Doliotis, Paul | 1 |
More ▼ |
Publication Type
Education Level
Higher Education | 8 |
Postsecondary Education | 8 |
Elementary Secondary Education | 4 |
Adult Education | 1 |
High Schools | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Secondary Education | 1 |
Audience
Teachers | 2 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
C. J. Van Lissa; M. Garnier-Villarreal; D. Anadria – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Latent class analysis (LCA) refers to techniques for identifying groups in data based on a parametric model. Examples include mixture models, LCA with ordinal indicators, and latent class growth analysis. Despite its popularity, there is limited guidance with respect to decisions that must be made when conducting and reporting LCA. Moreover, there…
Descriptors: Multivariate Analysis, Structural Equation Models, Open Source Technology, Computation
Melina Verger; Chunyang Fan; Sébastien Lallé; François Bouchet; Vanda Luengo – Journal of Educational Data Mining, 2024
Predictive student models are increasingly used in learning environments due to their ability to enhance educational outcomes and support stakeholders in making informed decisions. However, predictive models can be biased and produce unfair outcomes, leading to potential discrimination against certain individuals and harmful long-term…
Descriptors: Algorithms, Prediction, Bias, Classification
Mayerhofer, Patrick; Carter, James; Donelan, J. Maxwell – Advances in Physiology Education, 2022
To help educators deliver their physiology laboratory courses remotely, we developed an inexpensive, customizable hardware kit along with freely available teaching resources. We based the course design on four principles that should allow students to conduct insightful experiments on different physiological systems. First, the experimental setup…
Descriptors: Laboratory Experiments, Science Instruction, Physiology, Cost Effectiveness
Blobstein, Ariel; Gal, Kobi; Kim, Hyunsoo Gloria; Facciotti, Marc; Karger, David; Sripathi, Kamali – International Educational Data Mining Society, 2022
Emoji are commonly used in social media to convey attitudes and emotions. While popular, their use in educational contexts has been sparsely studied. This paper reports on the students' use of emoji in an online course forum in which students annotate and discuss course material in the margins of the online textbook. For this study, instructors…
Descriptors: Computer Mediated Communication, Nonverbal Communication, Social Media, Online Courses
Sidou, Lais Feltrin; Borges, Endler Marcel – Journal of Chemical Education, 2020
Principal component analysis (PCA) is one of the most important and powerful methods in chemometrics as well as in a wealth of other areas. Running a PCA results in two main elements, the score plot and the loading plot; the score plot provides the location of the samples, and the loading plot indicates correlations among variables, the trends in…
Descriptors: Factor Analysis, Chemistry, Science Instruction, Teaching Methods
Lawrence Angrave; Jiaxi Li; Ninghan Zhong – Grantee Submission, 2022
To efficiently create books and other instructional content from videos and further improve accessibility of our course content we needed to solve the scene detection (SD) problem for engineering educational content. We present the pedagogical applications of extracting video images for the purposes of digital book generation and other shareable…
Descriptors: Instructional Materials, Material Development, Video Technology, Course Content
Marshall, Iain J.; Noel-Storr, Anna; Kuiper, Joël; Thomas, James; Wallace, Byron C. – Research Synthesis Methods, 2018
Machine learning (ML) algorithms have proven highly accurate for identifying Randomized Controlled Trials (RCTs) but are not used much in practice, in part because the best way to make use of the technology in a typical workflow is unclear. In this work, we evaluate ML models for RCT classification (support vector machines, convolutional neural…
Descriptors: Randomized Controlled Trials, Accuracy, Computer Software, Classification
Stemmler, Mark; Heine, Jörg-Henrik – International Journal of Behavioral Development, 2017
Configural frequency analysis and log-linear modeling are presented as person-centered analytic approaches for the analysis of categorical or categorized data in multi-way contingency tables. Person-centered developmental psychology, based on the holistic interactionistic perspective of the Stockholm working group around David Magnusson and Lars…
Descriptors: Classification, Data, Tables (Data), Models
Gómez-Zermeño, Marcela Georgina; de la Garza, Lorena Yadira Alemán – Open Praxis, 2015
Temoa is a distributor of knowledge that provides a multilingual public catalog of collections of Open Educational Resources (OER). Temoa seeks to support the educational community to find the resources and materials that meet their needs for teaching and learning, through a specialized search system and collaborative social tools. Temoa was…
Descriptors: Foreign Countries, Open Education, Open Source Technology, Developing Nations
Knowles, Jared E. – Journal of Educational Data Mining, 2015
The state of Wisconsin has one of the highest four year graduation rates in the nation, but deep disparities among student subgroups remain. To address this the state has created the Wisconsin Dropout Early Warning System (DEWS), a predictive model of student dropout risk for students in grades six through nine. The Wisconsin DEWS is in use…
Descriptors: Dropouts, Models, Prediction, Risk
Doliotis, Paul – ProQuest LLC, 2013
The broad application domain of the work presented in this thesis is pattern classification with a focus on gesture recognition and 3D hand pose estimation. One of the main contributions of the proposed thesis is a novel method for 3D hand pose estimation using RGB-D. Hand pose estimation is formulated as a database retrieval problem. The proposed…
Descriptors: Visual Aids, Computation, Nonverbal Communication, Pattern Recognition
Vlas, Radu Eduard – ProQuest LLC, 2012
Open source projects do have requirements; they are, however, mostly informal, text descriptions found in requests, forums, and other correspondence. Understanding such requirements provides insight into the nature of open source projects. Unfortunately, manual analysis of natural language requirements is time-consuming, and for large projects,…
Descriptors: Open Source Technology, Computer Software, Natural Language Processing, Classification
Amiel, Tel; Soares, Tiago Chagas – International Review of Research in Open and Distributed Learning, 2016
We present an analysis of 50 repositories for educational content conducted through an "audit system" that helped us classify these repositories, their software systems, promoters, and how they communicated their licensing practices. We randomly accessed five resources from each repository to investigate the alignment of licensing…
Descriptors: Audits (Verification), Educational Resources, Certification, Conflict
Namdev Dhamdhere, Sangeeta – Turkish Online Journal of Distance Education, 2015
Every academic institution contributes to knowledge. The generated information and knowledge is to be compiled at a central place and disseminated among the society for further growth. It is observed that the generated knowledge in the academic institute is not stored or captured properly. It is also observed that many a times generated…
Descriptors: Foreign Countries, Knowledge Management, Higher Education, Universities
Bird, Steven; Lee, Haejoong – Language Documentation & Conservation, 2014
Investigating a tone language involves careful transcription of tone on words and phrases. This is challenging when the phonological categories--the tones or melodies--have not been identified. Effects such as coarticulation, sandhi, and phrase-level prosody appear as obstacles to early elicitation and classification of tone. This article presents…
Descriptors: Classification, Computational Linguistics, Tone Languages, Intonation
Previous Page | Next Page »
Pages: 1 | 2