Publication Date
| In 2026 | 0 |
| Since 2025 | 147 |
| Since 2022 (last 5 years) | 667 |
| Since 2017 (last 10 years) | 1130 |
| Since 2007 (last 20 years) | 1881 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
| Practitioners | 682 |
| Media Staff | 440 |
| Administrators | 236 |
| Policymakers | 139 |
| Teachers | 123 |
| Researchers | 85 |
| Students | 31 |
| Support Staff | 7 |
| Community | 5 |
| Counselors | 2 |
Location
| Canada | 174 |
| United States | 98 |
| Australia | 93 |
| United Kingdom | 61 |
| China | 59 |
| California | 58 |
| Germany | 44 |
| Japan | 42 |
| New York | 40 |
| Texas | 38 |
| India | 37 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 1 |
| Meets WWC Standards with or without Reservations | 1 |
Nelson, Douglas Allen, Jr. – ProQuest LLC, 2017
Adoption of simulation in healthcare education has increased tremendously over the past two decades. However, the resources necessary to perform simulation are immense. Simulators are large capital investments and require specialized training for both instructors and simulation support staff to develop curriculum using the simulator and to use the…
Descriptors: Clinical Experience, Simulation, Anatomy, Physiology
Sigut, Jose; Castro, Miguel; Arnay, Rafael; Sigut, Marta – IEEE Transactions on Education, 2020
Contribution: Open Source Computer Vision Library (OpenCV) Basics is an application designed with the purpose of facilitating the initiation of industrial engineering students in the field of Computer Vision, making the learning process easier, more dynamic and more direct. To this end, an application has been developed for the Android operating…
Descriptors: Handheld Devices, Telecommunications, Computer Oriented Programs, Teaching Methods
Correnti, Richard; Matsumura, Lindsay Clare; Wang, Elaine; Litman, Diane; Rahimi, Zahra; Kisa, Zahid – Reading Research Quarterly, 2020
Despite the importance of analytic text-based writing, relatively little is known about how to teach to this important skill. A persistent barrier to conducting research that would provide insight on best practices for teaching this form of writing is a lack of outcome measures that assess students' analytic text-based writing development and that…
Descriptors: Writing Evaluation, Writing Tests, Computer Assisted Testing, Scoring
Dorça, Fabiano A.; Araújo, Rafael D.; de Carvalho, Vitor C.; Resende, Daniel T.; Cattelan, Renan G. – Informatics in Education, 2016
Content personalization in educational systems is an increasing research area. Studies show that students tend to have better performances when the content is customized according to his/her preferences. One important aspect of students particularities is how they prefer to learn. In this context, students learning styles should be considered, due…
Descriptors: Resource Units, Cognitive Style, Automation, Individualized Instruction
Liu, Ou Lydia; Rios, Joseph A.; Heilman, Michael; Gerard, Libby; Linn, Marcia C. – Journal of Research in Science Teaching, 2016
Constructed response items can both measure the coherence of student ideas and serve as reflective experiences to strengthen instruction. We report on new automated scoring technologies that can reduce the cost and complexity of scoring constructed-response items. This study explored the accuracy of c-rater-ML, an automated scoring engine…
Descriptors: Science Tests, Scoring, Automation, Validity
Fedorchenko, Dmitrii G.; Novikov, Dmitrii K. – International Journal of Environmental and Science Education, 2016
The concept of condition-based gas turbine-powered aircraft operation is realized all over the world, which implementation requires knowledge of the end-of-life information related to components of aircraft engines in service. This research proposes an algorithm for estimating the equivalent cyclical running hours. This article provides analysis…
Descriptors: Aviation Mechanics, Engines, Computation, Evaluation Methods
Chen, Jing; Fife, James H.; Bejar, Isaac I.; Rupp, André A. – ETS Research Report Series, 2016
The "e-rater"® automated scoring engine used at Educational Testing Service (ETS) scores the writing quality of essays. In the current practice, e-rater scores are generated via a multiple linear regression (MLR) model as a linear combination of various features evaluated for each essay and human scores as the outcome variable. This…
Descriptors: Scoring, Models, Artificial Intelligence, Automation
Ke, Xiaohua; Zeng, Yongqiang; Luo, Haijiao – Journal of Educational Measurement, 2016
This article presents a novel method, the Complex Dynamics Essay Scorer (CDES), for automated essay scoring using complex network features. Texts produced by college students in China were represented as scale-free networks (e.g., a word adjacency model) from which typical network features, such as the in-/out-degrees, clustering coefficient (CC),…
Descriptors: Scoring, Automation, Essays, Networks
Cai, Zhiqiang; Li, Hiyiang; Hu, Xiangen; Graesser, Art – Grantee Submission, 2016
This paper provides an alternative way of document representation by treating topic probabilities as a vector representation for words and representing a document as a combination of the word vectors. A comparison on summary data shows that this representation is more effective in document classification. [This paper was published in:…
Descriptors: Probability, Natural Language Processing, Models, Automation
Bhartiya, Divyanshu; Contractor, Danish; Biswas, Sovan; Senjupta, Bikram; Mohania, Mukesh – International Educational Data Mining Society, 2016
Teaching in formal academic environments typically follows a curriculum that specifies learning objectives that need to be met at each phase of a student's academic progression. In this paper, we address the novel task of identifying document "segments" in educational material that are relevant for different learning objectives. Using a…
Descriptors: Behavioral Objectives, Instructional Materials, Computer Uses in Education, Classification
Chaplot, Devendra Singh; Yang, Yiming; Carbonell, Jaime; Koedinger, Kenneth R. – International Educational Data Mining Society, 2016
With the growing popularity of MOOCs and sharp trend of digitalizing education, there is a huge amount of free digital educational material on the web along with the activity logs of large number of participating students. However, this data is largely unstructured and there is hardly any information about the relationship between material from…
Descriptors: Graphs, Automation, Instructional Materials, Data
Sharma, Arjun; Biswas, Arijit; Gandhi, Ankit; Patil, Sonal; Deshmukh, Om – International Educational Data Mining Society, 2016
Online educational videos have emerged as one of the most popular modes of learning in the recent years. Studies have shown that liveliness is highly correlated to engagement in educational videos. While previous work has focused on feature engineering to estimate liveliness and that too using only the acoustic information, in this paper we…
Descriptors: Video Technology, Audiovisual Aids, Artificial Intelligence, Prediction
Lei Tang – ProQuest LLC, 2018
The software industry spends a tremendous amount of effort and resources on software testing and maintenance to improve the quality of software. However, a large portion of the cost may be saved by training high-quality software developers with better Computer Science education. Skilled software developers can not only produce code of fewer bugs…
Descriptors: Computer Science, Computer Science Education, Introductory Courses, Programming
European Training Foundation, 2021
This study focuses on the agri-food sector in Morocco and 'drivers' of change for skills. It alerts education and training institutions to prepare workers for the jobs of the future. The Moroccan society and economy depend heavily on agriculture production, employing around one third of the population and accounting for around 12% of GDP over the…
Descriptors: Foreign Countries, Agriculture, Vocational Education, Agricultural Production
Li, Rui; Meng, Zhaokun; Tian, Mi; Zhang, Zhiyi; Ni, Chuanbin; Xiao, Wei – Computer Assisted Language Learning, 2019
Automated Writing Evaluation (AWE) has been widely applied in computer-assisted language learning (CALL) in China. However, little is known about factors that influence learners' intention to use AWE. To this end, by adding two external factors (i.e. computer self-efficacy and computer anxiety) to the technology acceptance model (TAM), we surveyed…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Automation

Direct link
Peer reviewed
