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Showing 1 to 15 of 18 results Save | Export
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Aigul Syzdykbayeva; Kulpynay Duisenbay; Guliya Alikhankyzy; Ulzharkyn Abdigapbarova – Eurasian Journal of Applied Linguistics, 2025
There has been a significant growth in the field of Chinese language education, which has necessitated to examine the current state of key research contributions of the Chinese language in teaching methodologies, learning processes, and textbook development. This bibliometric study maps literature on Chinese language teaching, learning, and…
Descriptors: Chinese, Second Language Learning, Second Language Instruction, Bibliometrics
Hu, Xiangen; Cai, Zhiqiang; Hampton, Andrew J.; Cockroft, Jody L.; Graesser, Arthur C.; Copland, Cameron; Folsom-Kovarik, Jeremiah T. – Grantee Submission, 2019
In this paper, we consider a minimalistic and behavioristic view of AIS to enable a standardizable mapping of both the behavior of the system and of the learner. In this model, the "learners" interact with the learning "resources" in a given learning "environment" following preset steps of learning…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Metadata, Behavior Patterns
Luz, Bruno N.; Santos, Rafael; Alves, Bruno; Areão, Andreza S.; Yokoyama, Marcos H.; Guimarães, Marcelo P. – International Association for Development of the Information Society, 2015
The main purpose of this paper is to present the importance of Interactive Learning Objects (ILO) to improve the teaching-learning process by assuring a constant interaction among teachers and students, which in turn, allows students to be constantly supported by the teacher. The paper describes the ontology that defines the ILO available on the…
Descriptors: Resource Units, Metadata, Interaction, Learning Processes
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Schmoelz, Alexander; Swertz, Christian; Forstner, Alexandra; Barberi, Alessandro – Science Education International, 2014
This contribution looks at the Intelligent Tutoring Interface for Technology Enhanced Learning, which integrates multistage-learning and inquiry-based learning in an adaptive e-learning system. Based on a common pedagogical ontology, adaptive e-learning systems can be enabled to recommend learning objects and activities, which follow inquiry-based…
Descriptors: Inquiry, Active Learning, Intelligent Tutoring Systems, Electronic Learning
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Bianchi, Francesca; Marenzi, Ivana – Research-publishing.net, 2016
The current paper describes a first experiment in the use of TED talks and open tagging exercises to train higher-level comprehension skills, and of automatic logging of the student's actions to investigate the student choices while performing analytical tasks. The experiment took advantage of an interactive learning platform--LearnWeb--that…
Descriptors: Comprehension, Multimedia Materials, Multimedia Instruction, Task Analysis
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Spencer, Alice; Bussi, Anna – Language Learning in Higher Education, 2020
In the present article, we demonstrate the utility of Open Badge certifications in documenting ESP, EAP and EMI courses. Open Badges are online records of achievement which document field-specific, soft and technical skills. They consist of a visual image and a set of embedded metadata, they are endorsed by the institution which issues them and…
Descriptors: English for Special Purposes, Second Language Learning, Second Language Instruction, Language of Instruction
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Ruebel, Kim K.; Galloway, Diane – Current Issues in Middle Level Education, 2013
This pilot study resulted in changes to how we support and understand the teacher candidate learning process. Student teachers recorded videos of several teaching segments and later both researchers and student teachers utilized software to identify, tag, and analyze teaching performances. The study was based on the following assertions: teacher…
Descriptors: Courseware, Preservice Teachers, Preservice Teacher Education, Student Improvement
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Spector, J. Michael; Ifenthaler, Dirk; Sampson, Demetrios G. – Journal of Computing in Higher Education, 2016
Digital systems and digital technologies are globally investigated for their potential to transform learning, teaching and assessment towards offering unique learning experiences to the twenty-first century learners. This Special Issue on "Digital systems supporting cognition and exploratory learning in twenty-first century" aims to…
Descriptors: Educational Technology, Cognitive Processes, Discovery Learning, Educational Psychology
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Su, C. Y.; Chiu, C. H.; Wang, T. I. – Journal of Computer Assisted Learning, 2010
This study incorporates the 5E learning cycle strategy to design and develop Sharable Content Object Reference Model-conformant materials for elementary science education. The 5E learning cycle that supports the constructivist approach has been widely applied in science education. The strategy consists of five phases: engagement, exploration,…
Descriptors: Electronic Learning, Constructivism (Learning), Elementary School Science, Learning Processes
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Knauf, Rainer; Sakurai, Yoshitaka; Tsuruta, Setsuo; Jantke, Klaus P. – Journal of Educational Computing Research, 2010
University education often suffers from a lack of an explicit and adaptable didactic design. Students complain about the insufficient adaptability to the learners' needs. Learning content and services need to reach their audience according to their different prerequisites, needs, and different learning styles and conditions. A way to overcome such…
Descriptors: Prerequisites, College Instruction, Educational Experiments, Cognitive Style
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Dietze, Stefan; Gugliotta, Alessio; Domingue, John – International Journal of Distance Education Technologies, 2009
Current E-Learning technologies primarily follow a data and metadata-centric paradigm by providing the learner with composite content containing the learning resources and the learning process description, usually based on specific metadata standards such as ADL SCORM or IMS Learning Design. Due to the design-time binding of learning resources,…
Descriptors: Electronic Learning, Learning Processes, Educational Technology, Metadata
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Jovanovic, Jelena; Gasevic, Dragan; Knight, Colin; Richards, Griff – Educational Technology & Society, 2007
This paper presents an ontology-based framework aimed at explicit representation of context-specific metadata derived from the actual usage of learning objects and learning designs. The core part of the proposed framework is a learning object context ontology, that leverages a range of other kinds of learning ontologies (e.g., user modeling…
Descriptors: Educational Technology, Teaching Methods, Instructional Design, Electronic Learning
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Baker, Keith D. – International Journal on E-Learning, 2006
There has been considerable emphasis on the availability and reuse of learning content in recent years. Since 2000, the ADL initiative has refined the recommendations contained in the SCORM documents through progressive stages represented in the SCORM 1.0, 1.1, 1.2 and 1.3 documents. Fundamental to SCORM is the notion of the Shareable Content…
Descriptors: Management Systems, Metadata, Instructional Design, Educational Technology
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Huang, Weihong; Webster, David; Wood, Dawn; Ishaya, Tanko – British Journal of Educational Technology, 2006
Recent developments of e-learning specifications such as Learning Object Metadata (LOM), Sharable Content Object Reference Model (SCORM), Learning Design and other pedagogy research in semantic e-learning have shown a trend of applying innovative computational techniques, especially Semantic Web technologies, to promote existing content-focused…
Descriptors: Semantics, Computer Assisted Instruction, Internet, Metadata
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Bouzeghoub, Amel; Defude, Bruno; Duitama, John Freddy; Lecocq, Claire – International Journal on E-Learning, 2006
Our claim is that semantic metadata are required to allow a real reusing and assembling of learning objects. Our system is based on three models used to describe the domain, learners, and learning objects. The learning object model is inspired from knowledge representation proposals. A learning object can be reused directly or can be combined with…
Descriptors: Semantics, Knowledge Representation, Metadata, Learning Processes
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