Publication Date
| In 2026 | 1 |
| Since 2025 | 156 |
| Since 2022 (last 5 years) | 676 |
| Since 2017 (last 10 years) | 1139 |
| Since 2007 (last 20 years) | 1890 |
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 | 175 |
| 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 |
Ollermann, Frank; Rolf, Rüdiger; Greweling, Christian; Klaßen, André – Interactive Technology and Smart Education, 2017
Purpose: This paper aims to describe the principles underlying the successful implementation of a lecture recording service in higher education. Design/methodology/approach: The paper qualitatively reviews the practices and experiences of several years of automated lecture recording at a medium-sized university in Germany. Findings: The paper…
Descriptors: Foreign Countries, Lecture Method, Video Technology, Automation
Valaski, Joselaine; Reinehr, Sheila; Malucelli, Andreia – Interactive Technology and Smart Education, 2017
Purpose: The purpose of this research was to evaluate whether ontology integrated in an organizational learning environment may support the automatic learning material classification in a specific knowledge area. Design/methodology/approach: An ontology for recommending learning material was integrated in the organizational learning environment…
Descriptors: Classification, Instructional Materials, Automation, Taxonomy
Azevedo, Américo; Almeida, António Henrique – Education Sciences, 2021
Small and medium-sized enterprises (SMEs) in Europe risk their competitiveness if they fail to embrace digitalization. Indeed, SMEs are aware of the need to digitalize--more than one in two SMEs are concerned that they may lose competitiveness if they do not adopt new digital technologies. However, a key obstacle is related with decision-makers'…
Descriptors: Foreign Countries, Technology Integration, Barriers, Small Businesses
Brown, Phillip; Lloyd, Caroline; Souto-Otero, Manuel – Centre on Skills, Knowledge and Organisational Performance (SKOPE), 2018
Almost in a blink of the eye the policy focus on the 'knowledge' economy, with mass ranks of high skilled workers, has given way to claims of widespread 'technological unemployment'. This Working Paper will examine competing claims on the relationship between automation, skills and the future of work. It examines the research evidence on the scale…
Descriptors: Job Skills, Employment Qualifications, Automation, Information Technology
Wilson, Joshua; Chen, Dandan; Sandbank, Micheal P.; Hebert, Michael – Journal of Educational Psychology, 2019
The present study examined issues pertaining to the reliability of writing assessment in the elementary grades, and among samples of struggling and nonstruggling writers. The present study also extended nascent research on the reliability and the practical applications of automated essay scoring (AES) systems in Response to Intervention frameworks…
Descriptors: Computer Assisted Testing, Automation, Scores, Writing Tests
Rebecca Smith – ProQuest LLC, 2019
In recent years, computer science has become a cornerstone of modern society. As a result, enrollment in undergraduate computer science programs has expanded rapidly. While the influx of talent into the field will undoubtedly lead to countless technological developments, this growth also brings new pedagogical challenges. Educational resources,…
Descriptors: Computer Science Education, Individualized Instruction, Interaction, Learning Experience
Hamilton, Edward C. – Digital Education and Learning, 2016
In identifying a logic of commodification, commercialization, and automation as the essence of educational technology, critics of online education partake in a well-established tradition, stretching from Plato's declamations against writing in the "Phaedrus" to post war worries that television prophesied the era of the automatic student…
Descriptors: Automation, Educational History, Electronic Learning, Educational Technology
Xue, Linting; Lynch, Collin F.; Chi, Min – International Educational Data Mining Society, 2016
Graph data such as argument diagrams has become increasingly common in EDM. Augmented Graph Grammars are a robust rule formalism for graphs. Prior research has shown that hand-authored graph grammars can be used to automatically grade student-produced argument diagrams. But hand-authored rules can be time consuming and expensive to produce, and…
Descriptors: Graphs, Persuasive Discourse, College Students, Expertise
Burns, C. Sean – portal: Libraries and the Academy, 2014
This paper provides a historical account of Ralph Halsted Parker and his work to automate libraries in the early to middle parts of the twentieth century. One of Parker's motivations to automate stemmed from a desire to professionalize academic librarianship, and this is evident in his administration as library director at the University of…
Descriptors: Academic Libraries, Library Automation, History
Flynn, Paul K. – ProQuest LLC, 2014
A number of federal agencies, universities, laboratories, and companies are placing their documents online and making them searchable via metadata fields such as author, title, and publishing organization. To enable this, every document in the collection must be catalogued using the metadata fields. Though time consuming, the task of identifying…
Descriptors: Classification, Automation, Metadata, Artificial Intelligence
Sedaghat, Ahmad; AlJundub, Mohammad; Eilaghi, Armin; Bani-Hani, Ehab; Sabri, Farhad; Mbarki, Raouf; Assad, M. El Haj – Journal of Problem Based Learning in Higher Education, 2017
The PBL unit of fluid and electrical drive systems is taught in final semester of undergraduates in mechanical engineering department of the Australian College of Kuwait (ACK). The recent project on an automated punching machine is discovered more appealing to both students and instructors in triggering new ideas and satisfaction end results. In…
Descriptors: Foreign Countries, Undergraduate Students, Engineering Education, Mechanics (Physics)
Gonzalez, Ruben – International Association for Development of the Information Society, 2017
There are many difficulties with learning and teaching programming that can be alleviated with the use of software tools. Most of these tools have focused on the teaching of introductory programming concepts where commonly code fragments or small user programs are run in a sandbox or virtual machine, often in the cloud. These do not permit user…
Descriptors: Programming, Computer Science Education, Automation, Advanced Courses
Danielle S. McNamara; Laura K. Allen; Scott A. Crossley; Mihai Dascalu; Cecile A. Perret – Grantee Submission, 2017
Language is of central importance to the field of education because it is a conduit for communicating and understanding information. Therefore, researchers in the field of learning analytics can benefit from methods developed to analyze language both accurately and efficiently. Natural language processing (NLP) techniques can provide such an…
Descriptors: Natural Language Processing, Learning Analytics, Educational Technology, Automation
Yue Huang – ProQuest LLC, 2023
Automated writing evaluation (AWE) is a cutting-edge technology-based intervention designed to help teachers meet their challenges in writing classrooms and improve students' writing proficiency. The fast development of AWE systems, along with the encouragement of technology use in the U.S. K-12 education system by the Common Core State Standards…
Descriptors: Computer Assisted Testing, Writing Tests, Automation, Writing Evaluation
Cohen, Yoav; Levi, Effi; Ben-Simon, Anat – Applied Measurement in Education, 2018
In the current study, two pools of 250 essays, all written as a response to the same prompt, were rated by two groups of raters (14 or 15 raters per group), thereby providing an approximation to the essay's true score. An automated essay scoring (AES) system was trained on the datasets and then scored the essays using a cross-validation scheme. By…
Descriptors: Test Validity, Automation, Scoring, Computer Assisted Testing

Peer reviewed
Direct link
