NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing 1 to 15 of 17 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Woodard, Victoria; Lee, Hollylynne – Journal of Statistics and Data Science Education, 2021
As the demand for skilled data scientists has grown, university level statistics and data science courses have become more rigorous in training students to understand and utilize the tools that their future careers will likely require. However, the mechanisms to assess students' use of these tools while they are learning to use them are not well…
Descriptors: College Students, Statistics Education, Statistical Analysis, Computation
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Calvera-Isabal, Miriam; Santos, Patricia; Hoppe, H. -Ulrich; Schulten, Cleo – Comunicar: Media Education Research Journal, 2023
There is an increasing interest and growing practice in Citizen Science (CS) that goes along with the usage of websites for communication as well as for capturing and processing data and materials. From an educational perspective, it is expected that by integrating information about CS in a formal educational setting, it will inspire teachers to…
Descriptors: Citizen Participation, Science and Society, Scientific and Technical Information, Web Sites
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Aydin, Gökhan; Duran, Volkan; Mertol, Hüseyin – International Journal of Curriculum and Instruction, 2021
This study aims to develop a computer program for the identification key to insect orders (Arthropoda: Hexapoda) and to investigate its effectiveness as teaching material. Secondly, this study is aiming at whether this program improves students' computational thinking skills or not longitudinal quasi-experimental design. Firstly, the study is…
Descriptors: Computer Software, Identification, Entomology, Computation
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Pugh, Samuel L.; Subburaj, Shree Krishna; Rao, Arjun Ramesh; Stewart, Angela E. B.; Andrews-Todd, Jessica; D'Mello, Sidney K. – International Educational Data Mining Society, 2021
We investigated the feasibility of using automatic speech recognition (ASR) and natural language processing (NLP) to classify collaborative problem solving (CPS) skills from recorded speech in noisy environments. We analyzed data from 44 dyads of middle and high school students who used videoconferencing to collaboratively solve physics and math…
Descriptors: Problem Solving, Cooperation, Middle School Students, High School Students
Peer reviewed Peer reviewed
Direct linkDirect link
Echedom, Anthonia U.; Okuonghae, Omorodion – New Review of Academic Librarianship, 2021
This paper focuses on the opportunities and challenges associated with the use of artificial intelligence (AI) in academic library operations. In the quest to render fast, effective and efficient services, academic libraries have adopted different technologies in the past. Artificial intelligence technologies is the latest among the technologies…
Descriptors: Academic Libraries, Library Services, Delivery Systems, Artificial Intelligence
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Blanchard, Nathaniel; Donnelly, Patrick J.; Olney, Andrew M.; Samei, Borhan; Ward, Brooke; Sun, Xiaoyi; Kelly, Sean; Nystrand, Martin; D'Mello, Sidney K. – International Educational Data Mining Society, 2016
We investigate automatic detection of teacher questions from automatically segmented human-transcripts of teacher audio recordings collected in live classrooms. Using a dataset of audio recordings from 11 teachers across 37 class sessions, we automatically segment teacher speech into individual teacher utterances and code each as containing a…
Descriptors: Transcripts (Written Records), Nonprint Media, Automation, Classroom Communication
Brown, Robert L. – ProQuest LLC, 2014
A problem in computer security is identification of attack signatures in network packets. An attack signature is a pattern of bits that characterizes a particular attack. Because there are many kinds of attacks, there are potentially many attack signatures. Furthermore, attackers may seek to avoid detection by altering the attack mechanism so that…
Descriptors: Computer Security, Identification, Automation, Programming
Peer reviewed Peer reviewed
Direct linkDirect link
Botzer, Assaf; Meyer, Joachim; Parmet, Yisrael – Journal of Experimental Psychology: Applied, 2013
Binary cueing systems assist in many tasks, often alerting people about potential hazards (such as alarms and alerts). We investigate whether cues, besides possibly improving decision accuracy, also affect the effort users invest in tasks and whether the required effort in tasks affects the responses to cues. We developed a novel experimental tool…
Descriptors: Foreign Countries, College Students, Cues, Validity
Peer reviewed Peer reviewed
Direct linkDirect link
Blikstein, Paulo; Worsley, Marcelo; Piech, Chris; Sahami, Mehran; Cooper, Steven; Koller, Daphne – Journal of the Learning Sciences, 2014
New high-frequency, automated data collection and analysis algorithms could offer new insights into complex learning processes, especially for tasks in which students have opportunities to generate unique open-ended artifacts such as computer programs. These approaches should be particularly useful because the need for scalable project-based and…
Descriptors: Programming, Computer Science Education, Learning Processes, Introductory Courses
Peer reviewed Peer reviewed
Direct linkDirect link
Yang, Yang; Leung, H.; Yue, Lihua; Deng, LiQun – IEEE Transactions on Learning Technologies, 2012
In this paper, an automatic lesson generation system is presented which is suitable in a learning-by-mimicking scenario where the learning objects can be represented as multiattribute time series data. The dance is used as an example in this paper to illustrate the idea. Given a dance motion sequence as the input, the proposed lesson generation…
Descriptors: Foreign Countries, Dance Education, Lesson Plans, Pattern Recognition
Peer reviewed Peer reviewed
Maruyama, Lenore S. – Journal of the American Society for Information Science, 1971
An experiment using a computer to assign content designators to unedited machine readable bibliographic data to create MARC records is described. (Author)
Descriptors: Automation, Cataloging, Information Processing, Library Technical Processes
Peer reviewed Peer reviewed
Shoffner, Ralph M. – Journal of the American Society for Information Science, 1971
A theoretica l approach to the problem of converting printed bibliographic records to machine readable form is developed based on principles of systems analysis. (Author)
Descriptors: Automation, Information Processing, Library Technical Processes, Pattern Recognition
Peer reviewed Peer reviewed
Kotamarti, Usha; Tharp, Alan L. – Journal of the American Society for Information Science, 1990
Reviews the use of signatures to improve the performance of text searching and considers the use of signature trees to further accelerate text searching. Based on the analysis of experimental results, it is concluded that the improvement in text searching performance using signature trees outweighs the increase in required storage. (12 references)…
Descriptors: Algorithms, Automation, Computer Storage Devices, Cost Effectiveness
Peer reviewed Peer reviewed
Rush, J. E.; And Others – Journal of the American Society for Information Science, 1971
The abstracts obtained so far are of sufficiently good quality to indicate that large-scale testing of the methods of the automatic abstracting system is warranted. (Author/MM)
Descriptors: Abstracting, Automatic Indexing, Automation, Content Analysis
Previous Page | Next Page »
Pages: 1  |  2