It is difficult to say what limitations Canvas has if you are only familiar with some features of the learning management system (LMS). I am aware every LMS has limitations and benefits. The subject you want to teach is an essential element in how to design the course. However, a poorly designed course is not a limitation of the LMS. I once was very familiar with Canvas but recent user interface modifications made designing a simple module difficult. It is not always an easy task to design a course. Although you have the process outlined, and may have done it numerous times before does limitations make it challenging or is it the knowledge of the course designer? My first experience using Canvas was horrific. I had no clue how and where to begin. I was unfamiliar with the navigation menu and user interface.
If your career or professional choice is a teacher, course designer, instructional designer or educator take the time to become knowledgeable of different LMS or Course Management System (CMS). When you are knowledgeable of an LMS, you will know the limitations and benefits and save time when designing a course. All types of learning environments and occurrences have their advantages and opportunities (Bonk, & Zhang, 2006). I try not to show favoritism with Blackboard since it is the LMS I spend a lot of time designing online courses. Although adaptive is my learning theory Blackboards supports pre-assessments and adaptive learning modules. A limitation in Blackboard is when I code in HTML due to security features that I am unable to control most pages will not open properly. Furthermore, the adaptive release features will not allow me to use the “OR” operator. I can only use the “AND” operator. This setback prolongs the course design and additional steps are implemented to complete the process.
A concern I have is if my job decides to select a different LMS it may not support adaptive learning. I have not tried to investigate limitations or benefits of Canvas. I like the user interface and what it offers. Sometimes you do not have a choice in the type of LMS your jobs decide to use. Still, I believe instructional designers or someone with instructional design experience will have a better opportunity of designing a course no matter the LMS. If instructional designers incorporate four types of learning (reading, listening, verbal and auditory) and into
consideration when designing and delivering online and other methods of online learning courses, they should be successful with diverse learners. LMS developers should contemplate the effect of use and learner’s time in a web-based learning atmosphere when designing components for course material delivery. (Chung, Pasquini, & Koh, 2013).
There are various components required for an effective learning environment. The appropriate LMS to offer interaction, collaboration, communication and the right course design. I understand a learning environment consists of learners’ characteristics, content, tools, culture, learner support, assessments, and evaluations. The assessment of efficiency typically takes into account the limit to which the learning outcomes have been succeeded, possibly compared to those reachable with similar methods ( But what would an LMS be without an experienced course designer? Let’s start with course content or course material, learners’ characteristics and understanding different learning styles. Other components are modules to support learning objectives, learning activities and a way to assess students learning outcomes. The learning environment should help the teacher deliver content, set boundaries for the course and support learning experiences for students.
Bonk, C.J., Zhang, K. (2006). Introducing the R2D2 Model-Online learning for the diverse learners of this world. Distance Education, 27(2), 249-264. Retrieved from https://canvas.instructure.com/courses/1267787/files/59119214?module_item_id=15583058
Chung, CH., Pasquini, L., & Koh, C.E. (2013). Web-based Learning Management System Considerations for Higher Education. Retrieved from https://canvas.instructure.com/courses/1267787/files/59802235?module_item_id=15752424
Persico, D., Manca, S., & Pozzi, F. (2014). Adapting the Technology Acceptance Model to evaluate the innovative potential of e-learning systems. Computers in Human Behavior, 30, 614-622. Retrieved from https://canvas.instructure.com/courses/1267787/files/59789954?module_item_id=15749029