Web-Mediated Instructional Design

A special issue of Education Sciences (ISSN 2227-7102).

Deadline for manuscript submissions: closed (1 July 2020) | Viewed by 4508

Special Issue Editor


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Guest Editor
Department of Business IT and Logistics, RMIT University, Swanston Academic Building-80, 445 Swanston St, Melbourne, VIC 3000, Australia
Interests: human–computer interaction; information systems; instructional design; web-based learning; learning analytics; Rasch modelling

Special Issue Information

Dear Colleagues,

There can be no doubt that information and communications technology (ICT) tools offer courseware designers opportunities to enhance web-mediated learning environments. As a result, many courseware designers around the world are adopting such ICT courseware platform tools that emphasise the use of multimedia to enrich and fulfil online learning experiences. Nevertheless, the increasing awareness of the complexities surrounding the human computer interaction (HCI) presents a new dilemma to challenge the design and development of courseware content for these web-mediated learning systems. As tempting as they are, the adoption of these emerging ICT tools needs to be aligned with the appropriate e-pedagogical strategies to ensure the effectiveness of the expected learning outcomes. Papers in this Special Issue describe the diverse range of opinion on web-mediated instructional design. The range of opportunities is endless, involving, for instance:

  • learning management systems that offer improved web-mediated teaching and learning to provide instructors and learners/trainees the opportunities of online discussions and digital resource sharing;
  • real-time teaching performance assessment where integrated performance feedback relates to the web-mediated interactions. Online facilitators and learners/trainees can see their individual performance and academic achievements;
  • high-quality digital courseware application sandbox environments that provide instructional material production to foster courseware creation skills;
  • multifunctional web-mediated instructional tools that provide opportunities for collaborative professional development opportunities to facilitate multiple functions and services to enhance learner/trainee motivations for learning and academic achievement;
  • online language and vocabulary exercises; and
  • software enquiry systems that query legally valid software applications.

Assoc. Prof. Elspeth McKay
Guest Editor

Manuscript Submission Information

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Keywords

  • ePedagogies
  • Human–computer interaction (HCI)
  • Instructional design
  • Web-mediated courseware design
  • Online learning
  • Performance outcome measurement
  • Information and communications technology (ICT)
  • Instructional systems design

Published Papers (1 paper)

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Research

20 pages, 5297 KiB  
Article
Bioinformatics-Based Adaptive System towards Real-Time Dynamic E-learning Content Personalization
by Othmar Othmar Mwambe, Phan Xuan Tan and Eiji Kamioka
Educ. Sci. 2020, 10(2), 42; https://doi.org/10.3390/educsci10020042 - 17 Feb 2020
Cited by 6 | Viewed by 4201
Abstract
Adaptive Educational Hypermedia Systems (AEHS) play a crucial role in supporting adaptive learning and immensely outperform learner-control based systems. AEHS’ page indexing and hyperspace rely mostly on navigation supports which provide the learners with a user-friendly interactive learning environment. Such AEHS features provide [...] Read more.
Adaptive Educational Hypermedia Systems (AEHS) play a crucial role in supporting adaptive learning and immensely outperform learner-control based systems. AEHS’ page indexing and hyperspace rely mostly on navigation supports which provide the learners with a user-friendly interactive learning environment. Such AEHS features provide the systems with a unique ability to adapt learners’ preferences. However, obtaining timely and accurate information for their adaptive decision-making process is still a challenge due to the dynamic understanding of individual learner. This causes a spontaneous changing of learners’ learning styles that makes hard for system developers to integrate learning objects with learning styles on real-time basis. Thus, in previous research studies, multiple levels navigation supports have been applied to solve this problem. However, this approach destroys their learning motivation because of imposing time and work overload on learners. To address such a challenge, this study proposes a bioinformatics-based adaptive navigation support that was initiated by the alternation of learners’ motivation states on a real-time basis. EyeTracking sensor and adaptive time-locked Learning Objects (LOs) were used. Hence, learners’ pupil size dilation and reading and reaction time were used for the adaption process and evaluation. The results show that the proposed approach improved the AEHS adaptive process and increased learners’ performance up to 78%. Full article
(This article belongs to the Special Issue Web-Mediated Instructional Design)
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