NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Practitioners1
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing 1 to 15 of 22 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Ghallabi, Sameh; Essalmi, Fathi; Jemni, Mohamed; Kinshuk – Smart Learning Environments, 2022
Personalized learning systems use several components in order to create courses adapted to the learners'characteristics. Current emphasis on the reduction of costs of development of new resources has motivated the reuse of the e-learning personalization components in the creation of new components. Several systems have been proposed in the…
Descriptors: Individualized Instruction, Technology Uses in Education, Electronic Learning, Mathematics
Peer reviewed Peer reviewed
Direct linkDirect link
Xingle Ji; Lu Sun; Xueyong Xu; Xiaobing Lei – International Journal of Information and Communication Technology Education, 2024
This study examines the current research on educational data mining, educational learning support services, personalized learning services, and personalized learning paths in education. The authors aim to integrate personalized learning concepts into traditional support services by drawing on the latest theoretical and practical research. Using…
Descriptors: Information Retrieval, Data Analysis, Educational Research, Individualized Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Xiaoyan Chu; Minjuan Wang; Jonathan Michael Spector; Nian-Shing Chen; Ching Sing Chai; Gwo-Jen Hwang; Xuesong Zhai – Educational Technology Research and Development, 2025
The Flipped Classroom Model (FCM) has gained widespread acceptance in higher education as an effective pedagogical strategy. Despite its success, the FCM still faces persistent concerns, including a lack of personalized interaction, limited application to introductory courses, and insufficient analysis of the learning process. The integration of…
Descriptors: Flipped Classroom, Artificial Intelligence, Technology Uses in Education, Educational Technology
Peer reviewed Peer reviewed
Direct linkDirect link
Rosenberg, Joshua M.; Krist, Christina – Journal of Science Education and Technology, 2021
Assessing students' participation in science practices presents several challenges, especially when aiming to differentiate meaningful (vs. rote) forms of participation. In this study, we sought to use machine learning (ML) for a novel purpose in science assessment: developing a construct map for students' "consideration of generality,"…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Models
Opper, Isaac M. – RAND Corporation, 2020
Researchers often include covariates when they analyze the results of randomized controlled trials (RCTs), valuing the increased precision of the estimates over the potential of inducing small-sample bias when doing so. In this paper, we develop a sufficient condition which ensures that the inclusion of covariates does not induce small-sample bias…
Descriptors: Artificial Intelligence, Man Machine Systems, Educational Technology, Technology Uses in Education
Peer reviewed Peer reviewed
Direct linkDirect link
Bondie, Rhonda; Mancenido, Zid; Dede, Chris – Journal of Research on Technology in Education, 2021
This literature review analyzed 18 studies published between 2013 and 2020 to understand the role of virtual humans in mixed reality digital puppeteering simulations aimed at promoting teacher learning. Research questions explored: simulation design models, interactor training, and the attention researchers gave to language and race in the virtual…
Descriptors: Teacher Education Programs, Educational Technology, Technology Uses in Education, Computer Simulation
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Ramanarayanan, Vikram; Suendermann-Oeft, David; Lange, Patrick; Ivanov, Alexei V.; Evanini, Keelan; Yu, Zhou; Tsuprun, Eugene; Qian, Yao – ETS Research Report Series, 2016
We propose a crowdsourcing-based framework to iteratively and rapidly bootstrap a dialog system from scratch for a new domain. We leverage the open-source modular HALEF dialog system to deploy dialog applications. We illustrate the usefulness of this framework using four different prototype dialog items with applications in the educational domain…
Descriptors: Man Machine Systems, Models, Speech, Educational Technology
Peer reviewed Peer reviewed
Direct linkDirect link
Bull, Susan; Kay, Judy – International Journal of Artificial Intelligence in Education, 2016
The SMILI? (Student Models that Invite the Learner In) Open Learner Model Framework was created to provide a coherent picture of the many and diverse forms of Open Learner Models (OLMs). The aim was for SMILI? to provide researchers with a systematic way to describe, compare and critique OLMs. We expected it to highlight those areas where there…
Descriptors: Educational Research, Data Collection, Data Analysis, Intelligent Tutoring Systems
Peer reviewed Peer reviewed
Direct linkDirect link
Dillenbourg, Pierre – International Journal of Artificial Intelligence in Education, 2016
How does AI&EdAIED today compare to 25 years ago? This paper addresses this evolution by identifying six trends. The trends are ongoing and will influence learning technologies going forward. First, the physicality of interactions and the physical space of the learner became genuine components of digital education. The frontier between the…
Descriptors: Artificial Intelligence, Educational Trends, Trend Analysis, Educational Technology
Peer reviewed Peer reviewed
Direct linkDirect link
Gakhal, Inderdip; Bull, Susan – ALT-J: Research in Learning Technology, 2008
This paper investigates the potential for simple open learner models for highly motivated, independent learners, using the example of trainee pilots. In particular we consider whether such users access their learner model to help them identify their current knowledge level, areas of difficulty and specific misconceptions, to help them plan their…
Descriptors: Foreign Countries, Intelligent Tutoring Systems, Models, Misconceptions
Le Baron, Walt – J Teacher Educ, 1969
Descriptors: Educational Innovation, Educational Technology, Man Machine Systems, Models
Dills, Charles R.; Romiszowski, Alexander – 1990
This paper is intended to provide the instructional technologist already possessing some understanding of expert systems with some insight into two of the many steps involved in the design and production of such systems: knowledge acquisition and knowledge structuring or representation. It is also intended to help technologists to see how they…
Descriptors: Cognitive Structures, Comparative Analysis, Educational Technology, Epistemology
Swanson, Austin D.; Willett, Edward J. – Educational Technology, 1977
A plan for a demonstration school is outlined. The design calls for a reallocation of capital and labor resulting in the heavy use of instructional technology and differentiated staffing. Comparisons with traditional schooling show the model to be potentially more cost-effective. (BD)
Descriptors: Cost Effectiveness, Demonstration Programs, Differentiated Staffs, Educational Economics
Peer reviewed Peer reviewed
Dede, Christopher – Educational Leadership, 1983
During the next decade schools will shift to a new model of instruction that combines teachers and machines. Described are the probable characteristics of the model, the coming changes in curriculum content and design, and the stages of evolution to the new model. (MLF)
Descriptors: Computer Assisted Instruction, Computer Literacy, Computer Oriented Programs, Curriculum
Peer reviewed Peer reviewed
Eidgahy, Saeid Y.; Shearman, John P. – TechTrends, 1994
Demonstrates the use of foundational elements of Keiretsu to construct a feasible model for the effective and efficient use of technology in distance education. Six major models of distance education are described; and concerns in distance education are discussed, including access, human interaction, fiscal concerns, and technology concerns. (16…
Descriptors: Access to Information, Computer Assisted Instruction, Cooperative Programs, Distance Education
Previous Page | Next Page »
Pages: 1  |  2