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Lixiang Yan; Lele Sha; Linxuan Zhao; Yuheng Li; Roberto Martinez-Maldonado; Guanliang Chen; Xinyu Li; Yueqiao Jin; Dragan Gaševic – British Journal of Educational Technology, 2024
Educational technology innovations leveraging large language models (LLMs) have shown the potential to automate the laborious process of generating and analysing textual content. While various innovations have been developed to automate a range of educational tasks (eg, question generation, feedback provision, and essay grading), there are…
Descriptors: Educational Technology, Artificial Intelligence, Natural Language Processing, Educational Innovation
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Özlem Üzümcü – Journal of Educational Technology and Online Learning, 2023
This study aims to investigate the process of designing infographics through participants' knowledge construction in the assessment and evaluation process of IB Educator Certificate (IBEC) educational technologies education. The study, in which the case study method was used, was conducted with 12 participants who attended the educational…
Descriptors: Visual Aids, Assignments, Knowledge Representation, Educational Technology
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Kim, Kyung – Technology, Knowledge and Learning, 2019
Since the initial recognition that human knowledge is structured in a relational manner, technologies have been developed for assessing and analyzing the "structure" of knowledge for a variety of purposes. A computer-based text analytic offline software system, "ALA-Reader," that was developed to assess this knowledge structure…
Descriptors: Knowledge Representation, Educational Technology, Technology Uses in Education, Computer Software
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Grubišic, Ani; Žitko, Branko; Stankov, Slavomir – Journal of Technology and Science Education, 2020
In intelligent e-learning systems that adapt a learning and teaching process to student knowledge, it is important to adapt the system as quickly as possible. However, adaptation is not possible until the student model is initialized. In this paper, a new approach to student model initialization using domain knowledge representative subset is…
Descriptors: Electronic Learning, Educational Technology, Models, Intelligent Tutoring Systems
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Buitrago, Mauricio; Chiappe, Andres – Australasian Journal of Educational Technology, 2019
The representation of knowledge is a process widely used in education for its potential to generate deep learning, metacognition, and also in mapping the student's cognitive structure while developing a broad spectrum of thinking skills. Notwithstanding the above mentioned benefits, the development and evolution of new digital ecologies of…
Descriptors: Knowledge Representation, Educational Environment, Educational Technology, Thinking Skills
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Pakdaman-Savoji, Azar; Nesbit, John Cale; Gajdamaschko, Natalia – Australasian Journal of Educational Technology, 2019
The term "cognitive tool" has been used in many areas of academic specialisation, where it has taken on multiple connotations. In this historical and systematic review, we investigate the conceptualisation of cognitive tools in the learning sciences and educational technology. First, the theory of cognitive tools vis-à-vis learning and…
Descriptors: Educational Technology, Cognitive Development, Psychology, Computer Uses in Education
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Sennott, Samuel C.; Akagi, Linda; Lee, Mary; Rhodes, Anthony – Topics in Language Disorders, 2019
Artificially intelligent tools have given us the capability to use technology to address ever more complex challenges. What are the capabilities, challenges, and hazards of incorporating and developing this technology for augmentative and alternative communication (AAC)? "Artificial intelligence" (AI) can be defined as the capability of…
Descriptors: Augmentative and Alternative Communication, Artificial Intelligence, Knowledge Representation, Thinking Skills
Sette, Maria – ProQuest LLC, 2017
Cyberlearning presents numerous challenges such as the lack of personal and assessment-driven learning, how students are often puzzled by the lack of instructor guidance and feedback, the huge volume of diverse learning materials, and the inability to zoom in from the general concepts to the more specific ones, or vice versa. Intelligent tutoring…
Descriptors: Educational Technology, Technology Uses in Education, Intelligent Tutoring Systems, Knowledge Representation
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Rau, Martina Angela – International Journal of Artificial Intelligence in Education, 2017
Traditional knowledge-component models describe students' content knowledge (e.g., their ability to carry out problem-solving procedures or their ability to reason about a concept). In many STEM domains, instruction uses multiple visual representations such as graphs, figures, and diagrams. The use of visual representations implies a…
Descriptors: Knowledge Representation, Models, Competence, Learning Processes
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Liu, Ran; Davenport, Jodi; Stamper, John – International Educational Data Mining Society, 2016
The increasing use of educational technologies in classrooms is producing vast amounts of process data that capture rich information about learning as it unfolds. The field of educational data mining has made great progress in using log data to build models that improve instruction and advance the science of learning. Thus far, however, the…
Descriptors: Educational Technology, Data Analysis, Automation, Data
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Siegle, Del – Gifted Child Today, 2015
QR codes are two-dimensional square patterns that are capable of coding information that ranges from web addresses to links to YouTube video. The codes save time typing and eliminate errors in entering addresses incorrectly. These codes make learning with technology easier for students and motivationally engage them in news ways.
Descriptors: Individualized Instruction, Academically Gifted, Talent, Coding
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Bower, Matt – Journal of Interactive Media in Education, 2016
Many recent technologies provide the ability to dynamically adjust the interface depending on the emerging cognitive and collaborative needs of the learning episode. This means that educators can adaptively re-design the learning environment during the lesson, rather than purely relying on preemptive learning design thinking. Based on a…
Descriptors: Electronic Learning, Instructional Design, Videoconferencing, Teleconferencing
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Mercier, E.; Higgins, S. – Journal of Computer Assisted Learning, 2014
Multi-touch surfaces have the potential to change the nature of computer-supported collaborative learning, allowing more equitable access to shared digital content. In this paper, we explore how large multi-touch tables can be used by groups of students as an external representation of their group interaction processes. Video data from 24 groups…
Descriptors: Technology Uses in Education, Technology Integration, Tables (Data), Knowledge Representation
Alvarez Xochihua, Omar – ProQuest LLC, 2012
Intelligent Tutoring Systems (ITS) have a significant educational impact on student's learning. However, researchers report time intensive interaction is needed between ITS developers and domain-experts to gather and represent domain knowledge. The challenge is augmented when the target domain is ill-defined. The primary problem resides in…
Descriptors: Intelligent Tutoring Systems, Knowledge Level, Demonstrations (Educational), Knowledge Representation
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Hatala, M.; Gasevic, D.; Siadaty, M.; Jovanovic, J.; Torniai, C. – IEEE Transactions on Learning Technologies, 2012
Recent research in Technology-Enhanced Learning (TEL) demonstrated several important benefits that semantic technologies can bring to the TEL domain. An underlying assumption for most of these research efforts is the existence of a domain ontology. The second unspoken assumption follows that educators will build domain ontologies for their…
Descriptors: Taxonomy, Semantics, Educational Technology, Technology Uses in Education
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