Publication Date
| In 2026 | 0 |
| Since 2025 | 161 |
| Since 2022 (last 5 years) | 568 |
| Since 2017 (last 10 years) | 1115 |
| Since 2007 (last 20 years) | 1919 |
Descriptor
Source
Author
Publication Type
Education Level
Location
| Taiwan | 49 |
| China | 46 |
| United Kingdom | 29 |
| Pennsylvania | 27 |
| Germany | 25 |
| Turkey | 24 |
| Canada | 22 |
| Massachusetts | 22 |
| Spain | 22 |
| United States | 16 |
| California | 15 |
| More ▼ | |
Laws, Policies, & Programs
| Every Student Succeeds Act… | 3 |
| Elementary and Secondary… | 2 |
| American Rescue Plan Act 2021 | 1 |
| No Child Left Behind Act 2001 | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 4 |
| Meets WWC Standards with or without Reservations | 6 |
| Does not meet standards | 2 |
Pontes, Elvis, Ed.; Silva, Anderson, Ed.; Guelfi, Adilson, Ed.; Kofuji, Sergio Takeo, Ed. – InTech, 2012
Chapters in this book include: (1) Factors that Influence Academic Teacher's Acceptance of E-Learning Technology in Blended Learning Environment (Snjezana Babic); (2) Towards Economical E-Learning Educational Environments for Physically Challenged Students (Amir Zeid, Sarah S. Sakit, Noor A. Al-AbdulRazzaq, Mariam M. Al-Tattan, Fatima S. Sakit,…
Descriptors: Educational Environment, Educational Technology, Problem Based Learning, Lifelong Learning
Steenbergen-Hu, Saiying; Cooper, Harris – Journal of Educational Psychology, 2013
In this study, we meta-analyzed empirical research of the effectiveness of intelligent tutoring systems (ITS) on K-12 students' mathematical learning. A total of 26 reports containing 34 independent samples met study inclusion criteria. The reports appeared between 1997 and 2010. The majority of included studies compared the effectiveness of ITS…
Descriptors: Meta Analysis, Intelligent Tutoring Systems, Mathematics Instruction, Mathematics Achievement
Mich, Ornella; Pianta, Emanuele; Mana, Nadia – Computers & Education, 2013
Deaf children have significant difficulties in comprehending written text. This is mainly due to the hearing loss that prevents them from being exposed to oral language when they were an infant. However, it is also due to the type of educational intervention they are faced with, which accustoms them to decoding single words and isolated sentences,…
Descriptors: Reading Comprehension, Usability, Deafness, Story Telling
Hsiao, I.-H.; Sosnovsky, S.; Brusilovsky, P. – Journal of Computer Assisted Learning, 2010
Rapid growth of the volume of interactive questions available to the students of modern E-Learning courses placed the problem of personalized guidance on the agenda of E-Learning researchers. Without proper guidance, students frequently select too simple or too complicated problems and ended either bored or discouraged. This paper explores a…
Descriptors: Electronic Learning, Guidance, Individualized Instruction, Computer Software
Ritter, Steven; Harris, Thomas K.; Nixon, Tristan; Dickison, Daniel; Murray, R. Charles; Towle, Brendon – International Working Group on Educational Data Mining, 2009
In Cognitive Tutors, student skill is represented by estimates of student knowledge on various knowledge components. The estimate for each knowledge component is based on a four-parameter model developed by Corbett and Anderson [Nb]. In this paper, we investigate the nature of the parameter space defined by these four parameters by modeling data…
Descriptors: Data Analysis, Intelligent Tutoring Systems, Knowledge Level, Skills
Charlton, Patricia; Magoulas, George; Laurillard, Diana – Technology, Pedagogy and Education, 2012
The paper advocates an approach to learning design that considers it as creating digital artefacts that can be extended, modified and used for different purposes. This is realised through an "act becoming artefact" cycle, where users' actions in the authors' software environment, named Learning Designer, are automatically interpreted on…
Descriptors: Foreign Countries, Educational Technology, Instructional Design, Computer Software
Hwang, Gwo-Jen; Sung, Han-Yu; Hung, Chun-Ming; Huang, Iwen; Tsai, Chin-Chung – Educational Technology Research and Development, 2012
In recent years, many researchers have been engaged in the development of educational computer games; however, previous studies have indicated that, without supportive models that take individual students' learning needs or difficulties into consideration, students might only show temporary interest during the learning process, and their learning…
Descriptors: Cognitive Style, Learning Motivation, Program Effectiveness, Natural Sciences
Chi, Min; VanLehn, Kurt; Litman, Diane; Jordan, Pamela – International Journal of Artificial Intelligence in Education, 2011
Pedagogical strategies are policies for a tutor to decide the next action when there are multiple actions available. When the content is controlled to be the same across experimental conditions, there has been little evidence that tutorial decisions have an impact on students' learning. In this paper, we applied Reinforcement Learning (RL) to…
Descriptors: Classroom Communication, Interaction, Reinforcement, Natural Language Processing
Mullins, Dejana; Rummel, Nikol; Spada, Hans – International Journal of Computer-Supported Collaborative Learning, 2011
While some studies found positive effects of collaboration on student learning in mathematics, others found none or even negative effects. This study evaluates whether the varying impact of collaboration can be explained by differences in the type of knowledge that is promoted by the instruction. If the instructional material requires students to…
Descriptors: Video Technology, Feedback (Response), Computer Assisted Instruction, Learning Processes
Calvo, R. A.; O'Rourke, S. T.; Jones, J.; Yacef, K.; Reimann, P. – IEEE Transactions on Learning Technologies, 2011
Academic writing, individual or collaborative, is an essential skill for today's graduates. Unfortunately, managing writing activities and providing feedback to students is very labor intensive and academics often opt out of including such learning experiences in their teaching. We describe the architecture for a new collaborative writing support…
Descriptors: Architecture, Teaching Methods, Feedback (Response), Collaborative Writing
Reigeluth, Charles M.; Aslan, Sinem; Chen, Zengguan; Dutta, Pratima; Huh, Yeol; Lee, Dabae; Lin, Chun-Yi; Lu, Ya-Huei; Min, Mina; Tan, Verily; Watson, Sunnie Lee; Watson, William R. – Journal of Educational Computing Research, 2015
The learner-centered paradigm of instruction differs in such fundamental ways from the teacher-centered paradigm that it requires technology to serve very different functions. In 2006, a research team at Indiana University began to work on identifying those functions and published their results in 2008. Subsequently, the team elaborated and…
Descriptors: Individualized Instruction, Learner Controlled Instruction, Intelligent Tutoring Systems, Interdisciplinary Approach
Scandura, Joseph M. – Online Submission, 2010
According to Wikipedia "Automation is a step beyond mechanism." Whereas mechanization provided human operators with machinery to assist them with the muscular requirements of work, automation greatly reduces the need for human sensory and mental requirements as well. In this context, Artificial Intelligence (AI) was founded on the claim that a…
Descriptors: Learning Theories, Mathematics Skills, Automation, Computer Uses in Education
Johnson, W. Lewis – International Journal of Artificial Intelligence in Education, 2010
The Tactical Language and Culture Training System (TLCTS) helps learners acquire basic communicative skills in foreign languages and cultures. Learners acquire communication skills through a combination of interactive lessons and serious games. Artificial intelligence plays multiple roles in this learning environment: to process the learner's…
Descriptors: Second Language Learning, Educational Games, Intelligent Tutoring Systems, Artificial Intelligence
Chieu, Vu Minh; Luengo, Vanda; Vadcard, Lucile; Tonetti, Jerome – International Journal of Artificial Intelligence in Education, 2010
Cognitive approaches have been used for student modeling in intelligent tutoring systems (ITSs). Many of those systems have tackled fundamental subjects such as mathematics, physics, and computer programming. The change of the student's cognitive behavior over time, however, has not been considered and modeled systematically. Furthermore, the…
Descriptors: Foreign Countries, Medical Students, Surgery, Human Body
Lee, Young-Jin – Journal of Computers in Mathematics and Science Teaching, 2010
With a rapid increase in the number of people who own a handheld device, such as an iPod, education researchers and administrators started looking for a way to use a handheld device to foster student learning. However, the current use of a mobile device in education is quite limited. With few exceptions, it is mostly used as a simple media player…
Descriptors: Physics, Handheld Devices, Electronic Learning, Technology Uses in Education

Direct link
Peer reviewed
