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Muhammad Alhammami – Discover Education, 2024
This paper outlines the development of a Hardware Development Kit (HDK) for a remote training platform on FPGA Devices designed to provide university students pursuing degrees in electronic and informatics engineering (at the bachelor's, master's, and PhD levels) with the tools they need to learn and develop systems related to artificial…
Descriptors: Computer System Design, Distance Education, College Students, Engineering Education
Love Börjeson; Chris Haffenden; Martin Malmsten; Fredrik Klingwall; Emma Rende; Robin Kurtz; Faton Rekathati; Hillevi Hägglöf; Justyna Sikora – College & Research Libraries, 2024
This article provides an account of the making of KBLab, the data lab at the National Library of Sweden (KB). The first part discusses the work involved in establishing a lab as both a physical and a digital site for researchers to use digital collections at previously unimaginable scales. The second part explains how the lab has deployed the…
Descriptors: Foreign Countries, Government Libraries, Artificial Intelligence, Computer Networks
De Garrido, Luis – Creativity Research Journal, 2022
The main objective of this paper is the conceptual design of a computational AI system that emulates human creativity. To do this, extensive research has been done on recent discoveries about the neural bases of human creativity. As a result, eleven neurocognitive factors have been identified on which the tremendous creative capacity of the human…
Descriptors: Artificial Intelligence, Brain, Creativity, Program Design
Hsu, I-Ching – Educational Technology & Society, 2012
The concept of learning objects has been applied in the e-learning field to promote the accessibility, reusability, and interoperability of learning content. Learning Object Metadata (LOM) was developed to achieve these goals by describing learning objects in order to provide meaningful metadata. Unfortunately, the conventional LOM lacks the…
Descriptors: Electronic Learning, Metadata, Knowledge Representation, Artificial Intelligence
Latham, Annabel; Crockett, Keeley; McLean, David; Edmonds, Bruce – Computers & Education, 2012
This paper proposes a generic methodology and architecture for developing a novel conversational intelligent tutoring system (CITS) called Oscar that leads a tutoring conversation and dynamically predicts and adapts to a student's learning style. Oscar aims to mimic a human tutor by implicitly modelling the learning style during tutoring, and…
Descriptors: Cognitive Style, Teaching Methods, Cognitive Measurement, Prediction
Wabwoba, Franklin; Mwakondo, Fullgence M. – Journal of Information Technology Education, 2011
Every year, the Joint Admission Board (JAB) is tasked to determine those students who are expected to join various Kenyan public universities under the government sponsorship scheme. This exercise is usually extensive because of the large number of qualified students compared to the very limited number of slots at various institutions and the…
Descriptors: Foreign Countries, Developing Nations, Courses, Student Placement
Wong, Lung-Hsiang; Looi, Chee-Kit – Interactive Learning Environments, 2012
The notion of a system adapting itself to provide support for learning has always been an important issue of research for technology-enabled learning. One approach to provide adaptivity is to use social navigation approaches and techniques which involve analysing data of what was previously selected by a cluster of users or what worked for…
Descriptors: Electronic Learning, Entomology, Educational Technology, Individualized Instruction
Magnisalis, I.; Demetriadis, S.; Karakostas, A. – IEEE Transactions on Learning Technologies, 2011
This study critically reviews the recently published scientific literature on the design and impact of adaptive and intelligent systems for collaborative learning support (AICLS) systems. The focus is threefold: 1) analyze critical design issues of AICLS systems and organize them under a unifying classification scheme, 2) present research evidence…
Descriptors: Evidence, Instructional Design, Bibliographic Databases, Classification
Rey-Lopez, Marta; Brusilovsky, Peter; Meccawy, Maram; Diaz-Redondo, Rebeca; Fernandez-Vilas, Ana; Ashman, Helen – International Journal on E-Learning, 2008
Current e-learning standardization initiatives have put much effort into easing interoperability between systems and the reusability of contents. For this to be possible, one of the most relevant areas is the definition of a run-time environment, which allows Learning Management Systems to launch, track and communicate with learning objects.…
Descriptors: Instructional Design, Integrated Learning Systems, Educational Technology, Artificial Intelligence
Ozpolat, Ebru; Akar, Gozde B. – Computers & Education, 2009
A desirable characteristic for an e-learning system is to provide the learner the most appropriate information based on his requirements and preferences. This can be achieved by capturing and utilizing the learner model. Learner models can be extracted based on personality factors like learning styles, behavioral factors like user's browsing…
Descriptors: Cognitive Style, Classification, Measures (Individuals), Measurement Techniques
Su, Jun-Ming; Lin, Huan-Yu; Tseng, Shian-Shyong; Lu, Chia-Jung – Turkish Online Journal of Educational Technology - TOJET, 2011
Promoting the development of students' scientific inquiry capabilities is a major learning objective in science education. As a result, teachers require effective assessment approaches to evaluate students' scientific inquiry-related performance. Teachers must also be able to offer appropriate supplementary instructions, as needed, to students.…
Descriptors: Foreign Countries, Web Based Instruction, Portfolios (Background Materials), Learning Problems
Chang, Wen-Chih; Yang, Hsuan-Che; Shih, Timothy K.; Chao, Louis R. – International Journal of Distance Education Technologies, 2009
E-learning provides a convenient and efficient way for learning. Formative assessment not only guides student in instruction and learning, diagnose skill or knowledge gaps, but also measures progress and evaluation. An efficient and convenient e-learning formative assessment system is the key character for e-learning. However, most e-learning…
Descriptors: Electronic Learning, Student Evaluation, Formative Evaluation, Educational Objectives
de Almeida, Pilar; Yokoi, Shigeki – 2003
Online museums could benefit from digital "lifelike" characters in order to guide users to virtual tours and to customize the tour information to users' interests. Digital characters have been explored in online museum web sites with different degrees of interaction and modes of communication. Such research, however, does not explore…
Descriptors: Artificial Intelligence, Computer Mediated Communication, Computer System Design, Exhibits

Cornell, Richard; And Others – Educational Media International, 1994
Examines the connection between symptoms commonly related to severe mental illness in individuals, and compares it to the presence of potential "psychic triggers" identified as attributes found in the design and use of virtual reality. (Author/AEF)
Descriptors: Artificial Intelligence, Computer Games, Computer Interfaces, Computer System Design
Fenly, Charles; Harris, Howard – 1988
The Processing Services department of the Library of Congress initiated a project to learn about expert systems technology and to examine potential applications of expert systems to functions in their department, e.g., acquisitions, cataloging, and serials control. (An expert system is defined as an artificial intelligence computer program which…
Descriptors: Artificial Intelligence, Computer System Design, Expert Systems, Feasibility Studies
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