A Software Design Model for Integrating LMS and MOOCs

A Software Design Model for Integrating LMS and MOOCs

Talent T. Rugube, Colin Chibaya, Desmond Wesley Govender
Copyright: © 2022 |Pages: 14
DOI: 10.4018/JITR.299375
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Abstract

Instructors often experience difficulties in selecting and sequencing relevant content for deployment into learning management systems. Human error and subjectivity is apparent. This study focuses on integrating learning management systems and massive open online courses with the goal of eliminating the human element in uploading content. As far as data sharing is concerned, learning management systems and massive open online courses have known weaknesses. The proposed integration aims to reach a tradeoff between the two systems. A requirements elicitation exercise was conducted towards identification of the component units of a hybrid system. The study utilized a mixed method approach to realize the foundation of the integrated design model. The findings, based on evaluation, showed that experts established completeness of the software design model. They, however, expressed the need for the designs to be extended towards accommodating artificial intelligence features. The proposed designs, thus, present a baseline framework upon which implementation considerations may be built on.
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Introduction

Educational technologies enhance teaching and learning (Ryneveld, 2017). Learning management systems (LMS), in particular, are an example of educational technologies which allows instructors and students to share content collaboratively (Yang, Guo, & Yu, 2016). In this context, LMS are interoperable information systems used for planning, storing, assessing and accessing course materials (Szabo & Flesher, 2002). They are web-based information systems with a variety of features for effective human – computer interactions (Williams et al., 2016). They support diverse teaching and learning strategies, at the same time, providing central repositories for teaching and learning material. Although LMS help instructors to organize courses (Dube & Scott, 2014; Gautam, 2010), the choice of which content to upload subjectively remains with the instructors. Precisely, instructors select, create, sequence, and upload what they perceive as relevant content (Limongelli, Lombardi, Marani, Sciarrone, & Temperini, 2016). Therefore, time to scrutinize this content by instructors is, often, limited (Favario, Meo, & Masala, 2015). The quality of selected content is, therefore, subjectively dependent on the idiosyncrasies of the instructor (Bhalalusesa, Lukwaro & Clemence, 2013).

Available opportunities when using LMS will, potentially, expand with the coming of massive open online courses (MOOCs) (Barclay & Logan, 2013). These are educational technologies designed for distance education (Dos Santos, Punie & Castaño-Muñoz, 2016). They are free and up to date resources available to anyone connected on the internet (McAuley, Stewart, Siemens & Cormier, 2010). MOOCs emphasize on interactivity, strengthening communication in learning environments (Iniesto & Rodrigo, 2016). Content in MOOCs is updated through open-source interventions. What is compelling is that MOOCs can, potentially, be integrated with other educational technologies (Mor, Kalz, Khalil, & Ebner, 2017) because them alone lack features to augment students’ learning experiences (Pilli, Admiraal, & Salli, 2018). They lack sufficient human-computer interaction features for user-friendly engagements. Innovative ways of bringing MOOCs’ benefits closer to students’ familiar educational technologies environments, specifically LMS, are apparently required. Creative approaches of taking away subjectivity in the selection, sequencing, and uploading of content on LMS are also sought. This paper proposes a software design model for integrating LMS and MOOCs towards a more interactive hybrid educational technology.

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