Year: 2024
Type: article
Abstract: The majority of online educational systems deliver the same content to all learners, disregarding their individual needs, goals, and educational backgrounds. This approach often makes the learning process challenging and unengaging. Adaptive hypermedia addresses this issue by enhancing these systems through personalization and customization. Adaptive hypermedia-based educational systems (AHES) create a learner profile, known as a learner model, and tailor the content based on the learner's preferences and prior educational history. However, developing AHES is a complex and time-consuming task, as it requires the integration of adaptive features alongside communication tools, digital libraries, and more. To simplify this process, various authoring tools and frameworks, such as AHA! Moodle, Open edX, InterBook, and COFALE, are available. This study provides an analysis and comparison of these frameworks, facilitating the selection of an appropriate framework for developing high-quality AHES.
Authors: Muhammad Kamran, Binish Raza, Furrakh Shahzad, Muhammad Shoaib Kareem, Kiran Naz
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4408851257