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Iqbal Malik, Sohail; Mathew, Roy; Tawafak, Ragad M.; Alfarsi, Ghaliya – E-Learning and Digital Media, 2021
Algorithmic thinking is considered as one of the important steps toward learning to code for novices in programming education. In this study, algorithmic thinking was promoted by introducing a Problem Analysis Algorithmic Model (PAAM) in an Algorithms and Programming 1 (AP) course. A web-based application is developed to offer the PAAM model in…
Descriptors: Web Based Instruction, Models, Computer Science Education, Programming
Salas-Rueda, Ricardo-Adán – International Electronic Journal of Mathematics Education, 2020
This quantitative research aims to analyze the design and implementation of the Web Application on the educational process of the Linear Function (WALF) considering the TPACK (Technological Pedagogical and Content Knowledge) model and data science. The sample consists of 45 students who studied the Basic Math course at a Mexican university during…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Mathematics Instruction, Mexicans
Savic, Goran; Segedinac, Milan; Milenkovic, Dušica; Hrin, Tamara; Segedinac, Mirjana – Australasian Journal of Educational Technology, 2018
This paper presents research on using a model-driven approach to the development and management of electronic courses. We propose a course management system which stores a course model represented as distinct machine-readable components containing domain knowledge of different course aspects. Based on this formally defined platform-independent…
Descriptors: Electronic Learning, Online Courses, Curriculum Development, Management Systems
Miwa, Kazuhisa; Morita, Junya; Nakaike, Ryuichi; Terai, Hitoshi – Interactive Learning Environments, 2014
Cognitive modelling is one of the representative research methods in cognitive science. It is believed that creating cognitive models promotes learners' meta-cognitive activities such as self-monitoring and reflecting on their own cognitive processing. Preceding studies have confirmed that such meta-cognitive activities actually promote learning…
Descriptors: Metacognition, Models, Reflection, Instructional Design
Duran, E. B.; Amandi, A. – Interactive Learning Environments, 2011
Student models are crucial components in personalised distance learning environments. These models usually include individual characteristics such as the level of knowledge of a given topic, the learning style or the type of personality, the level of participation and so on. However, when the focus is on group activities, these learning…
Descriptors: Cognitive Style, Individual Characteristics, Group Activities, Knowledge Level
Falconer, Isobel; Finlay, Janet; Fincher, Sally – Learning, Media and Technology, 2011
This article critiques learning design as a representation for sharing and developing practice, based on synthesis of three projects. Starting with the findings of the Mod4L Models of Practice project, it argues that the technical origins of learning design, and the consequent focus on structure and sequence, limit its usefulness for sharing…
Descriptors: Foreign Countries, Instructional Design, Inservice Teacher Education, Programming Languages
The Proposed Model of Collaborative Virtual Learning Environment for Introductory Programming Course
Othman, Mahfudzah; Othman, Muhaini – Turkish Online Journal of Distance Education, 2012
This paper discusses the proposed model of the collaborative virtual learning system for the introductory computer programming course which uses one of the collaborative learning techniques known as the "Think-Pair-Share". The main objective of this study is to design a model for an online learning system that facilitates the…
Descriptors: Foreign Countries, Electronic Learning, Cognitive Style, Computer Assisted Instruction
Amorim, Ricardo R.; Lama, Manuel; Sanchez, Eduardo; Riera, Adolfo; Vila, Xose A. – Educational Technology & Society, 2006
In this paper, we present an ontology to represent the semantics of the IMS Learning Design (IMS LD) specification, a meta-language used to describe the main elements of the learning design process. The motivation of this work relies on the expressiveness limitations found on the current XML-Schema implementation of the IMS LD conceptual model. To…
Descriptors: Computer Software, Programming, Instructional Design, Programming Languages
Knight, Colin, Gasevic, Dragan; Richards, Griff – Educational Technology & Society, 2006
The paper describes an ontology-based framework for bridging learning design and learning object content. In present solutions, researchers have proposed conceptual models and developed tools for both of those subjects, but without detailed discussions of how they can be used together. In this paper we advocate the use of ontologies to explicitly…
Descriptors: Case Studies, Learning Strategies, Computer Software, Programming
Van Rosmalen, Peter; Vogten, Hubert; Van Es, Rene; Passier, Harrie; Poelmans, Patricia; Koper, Rob – Educational Technology & Society, 2006
The objective of this paper is to introduce a standards-based model for adaptive e-learning and to investigate the conditions and tools required by authors to implement this model. Adaptation in the context of e-learning is about creating a learner experience that purposely adjusts to various conditions over a period of time with the intention of…
Descriptors: Educational Technology, Instructional Design, Web Based Instruction, Electronic Learning
Hernandez-Leo, Davinia; Villasclaras-Fernandez, Eloy D.; Asensio-Perez, Juan I.; Dimitriadis, Yannis; Jorrin-Abellan, Ivan M.; Ruiz-Requies, Ines; Rubia-Avi, Bartolome – Educational Technology & Society, 2006
This paper introduces "Collage", a high-level IMS-LD compliant authoring tool that is specialized for CSCL (Computer-Supported Collaborative Learning). Nowadays CSCL is a key trend in e-learning since it highlights the importance of social interactions as an essential element of learning. CSCL is an interdisciplinary domain, which…
Descriptors: Computer Software, Programming, Instructional Design, Programming Languages
Rokou, Franca Pantano; Rokou, Elena; Rokos, Yannis – Educational Technology & Society, 2004
Using modeling languages is essential to the construction of educational systems based on software engineering principles and methods. Furthermore, the instructional design is undoubtedly the cornerstone of the design and development of educational systems. Although several methodologies and languages have been proposed for the specification of…
Descriptors: Instructional Design, Models, Computer System Design, Systems Development
Gong, Tao; Cai, Zixing – International Journal on E-Learning, 2006
To overcome weakness and faults of a web-based e-learning course such as Artificial Intelligence (AI), an immune agent was proposed, simulating a natural immune mechanism against a virus. The immune agent was built on the multi-dimension education agent model and immune algorithm. The web-based AI course was comprised of many files, such as HTML…
Descriptors: Educational Technology, Internet, Online Courses, Artificial Intelligence
Botsios, Sotirios; Georgiou, Dimitrios A. – International Journal of Distance Education Technologies, 2009
Adaptation and personalization services in e-learning environments are considered the turning point of recent research efforts, as the "one-size-fits-all" approach has some important drawbacks, from the educational point of view. Adaptive Educational Hypermedia Systems in World Wide Web became a very active research field and the need of…
Descriptors: Electronic Learning, Educational Research, Literature Reviews, Standards
Papasalouros, Andreas; Retalis, Symeon; Papaspyrou, Nikolaos – Educational Technology & Society, 2004
The role of conceptual modeling in Educational Adaptive Hypermedia Applications (EAHA) is especially important. A conceptual model of an educational application depicts the instructional solution that is implemented, containing information about concepts that must be ac-quired by learners, tasks in which learners must be involved and resources…
Descriptors: Intelligent Tutoring Systems, Models, Individualized Instruction, Educational Technology
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