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Fisteus, Jesus Arias; Pardo, Abelardo; García, Norberto Fernández – Journal of Science Education and Technology, 2013
Although technology for automatic grading of multiple choice exams has existed for several decades, it is not yet as widely available or affordable as it should be. The main reasons preventing this adoption are the cost and the complexity of the setup procedures. In this paper, "Eyegrade," a system for automatic grading of multiple…
Descriptors: Multiple Choice Tests, Grading, Computer Assisted Testing, Man Machine Systems
Busey, Thomas; Yu, Chen; Wyatte, Dean; Vanderkolk, John – Cognitive Science, 2013
Perceptual tasks such as object matching, mammogram interpretation, mental rotation, and satellite imagery change detection often require the assignment of correspondences to fuse information across views. We apply techniques developed for machine translation to the gaze data recorded from a complex perceptual matching task modeled after…
Descriptors: Eye Movements, Perception Tests, Visual Stimuli, Visual Perception
Galatas, Georgios – ProQuest LLC, 2013
An Ambient Intelligence Environment is meant to sense and respond to the presence of people, using its embedded technology. In order to effectively sense the activities and intentions of its inhabitants, such an environment needs to utilize information captured from multiple sensors and modalities. By doing so, the interaction becomes more natural…
Descriptors: Speech, Robotics, Artificial Intelligence, Environment
Liu, Zhicheng – ProQuest LLC, 2012
Tabular data is pervasive in the form of spreadsheets and relational databases. Although tables often describe multivariate data without explicit network semantics, it may be advantageous to explore the data modeled as a graph or network for analysis. Even when a given table design conveys some static network semantics, analysts may want to look…
Descriptors: Tables (Data), Graphs, Data Analysis, Visual Stimuli
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
Heffernan, Neil T.; Ostrow, Korinn S.; Kelly, Kim; Selent, Douglas; Van Inwegen, Eric G.; Xiong, Xiaolu; Williams, Joseph Jay – International Journal of Artificial Intelligence in Education, 2016
Due to substantial scientific and practical progress, learning technologies can effectively adapt to the characteristics and needs of students. This article considers how learning technologies can adapt over time by crowdsourcing contributions from teachers and students--explanations, feedback, and other pedagogical interactions. Considering the…
Descriptors: Artificial Intelligence, Educational Technology, Student Needs, Electronic Publishing
Chou, Jyh Rong – EURASIA Journal of Mathematics, Science & Technology Education, 2016
The touch mouse is a new type of computer mouse that provides users with a new way of touch-based environment to interact with computers. For more than a decade, user experience (UX) has grown into a core concept of human-computer interaction (HCI), describing a user's perceptions and responses that result from the use of a product in a particular…
Descriptors: Computer Peripherals, Computer Uses in Education, Handheld Devices, Educational Technology
Heffernan, Neil T.; Ostrow, Korinn S.; Kelly, Kim; Selent, Douglas; Van Inwegen, Eric G.; Xiong, Xiaolu; Williams, Joseph Jay – Grantee Submission, 2016
Due to substantial scientific and practical progress, learning technologies can effectively adapt to the characteristics and needs of students. This article considers how learning technologies can adapt over time by crowdsourcing contributions from teachers and students -- explanations, feedback, and other pedagogical interactions. Considering the…
Descriptors: Artificial Intelligence, Educational Technology, Student Needs, Electronic Publishing
Tang, Tiffany Y.; Winoto, Pinata; Leung, Hareton – Journal of Educational Computing Research, 2014
A number of research studies have focused on the usability of groupware in supporting collaborative work. Unfortunately, our understanding of their impact on collaborative learning is still limited due to a lack of attention on this issue. The majority of educators and designers in Computer Supported Collaborative Learning (CSCL) expect…
Descriptors: Usability, Use Studies, Computer Software, Cooperative Learning
Fisher, Brian; Lucas, Timothy; Galstyan, Araksi – Technology, Knowledge and Learning, 2013
Traditionally, research on technology in mathematics education focuses on interactions between the user and the technology, but little is known about how technology can facilitate face-to-face interaction among students. We will explore the role that iPads versus traditional laptops play in shaping the learning spaces in which students explore…
Descriptors: Mathematics Education, Handheld Devices, Laptop Computers, Calculus
Eric John Seneca – ProQuest LLC, 2013
Learning occurs when content is accessed in a recursive process of awareness, exploration, reflection and resolution within one's social context. With the rapid adoption of mobile technologies, mobile learning (m-Learning) researchers should incorporate aspects of mobile human-computer interaction research into the instructional design process.…
Descriptors: Academic Achievement, Undergraduate Students, Kinesiology, Context Effect
Silva, Greis F. Mireya; Salgado, Luciana Cardoso de Castro; Suplino, Maryse; Raposo, Alberto Barbosa – Themes in Science and Technology Education, 2014
Collaborative multitouch applications have been designed to support social interaction and collaboration skills in people with mild autism. However, this kind of application generally is not designed specifically for people with severe autism. We have proposed a set of collaborative strategies to manipulate the elements in the interface aiming to…
Descriptors: Autism, Figurative Language, Interpersonal Relationship, Qualitative Research
Lim, Brian Y. – ProQuest LLC, 2012
To facilitate everyday activities, context-aware applications use sensors to detect what is happening and use increasingly complex mechanisms ( e.g., by using big rule-sets or machine learning) to infer the user's context and intent. For example, a mobile application can recognize that the user is in a conversation and suppress any incoming…
Descriptors: Man Machine Systems, Usability, Users (Information), Computer Oriented Programs
Kelley, Patrick Gage – ProQuest LLC, 2013
Users are increasingly expected to manage complex privacy settings in their normal online interactions. From shopping to social networks, users make decisions about sharing their personal information with corporations and contacts, frequently with little assistance. Current solutions require consumers to read long documents or go out of their way…
Descriptors: Privacy, Users (Information), Decision Making, Internet
Banks, Jaime – ProQuest LLC, 2013
Massively multiplayer online roleplaying games, or MMOs, present an increasingly popular digital media experience whereby identity emerges as players contribute materially to play but contributions are governed by affordances and constraints of the game. Unique to this medium is the player's ability to create and control a digital body--an…
Descriptors: Computer Games, Self Concept, Postmodernism, Identification (Psychology)