Building creative confidence during COVID-19: adapting design thinking for online learning

In this paper, we describe our experience in designing and delivering a course on Creativity and Innovation Management with a heavy emphasis on Design Thinking using Kolb’s Learning Cycle theory as a framework. The main challenge involved being able to preserve targeted outcomes based on Creative Confidence despite the constraints imposed by lockdowns due to the COVID-19 pandemic. The metadisciplinary approach to re-implementing the course with technology through principles involving Puentedura’s SAMR model has yielded positive results based on creative confidence as the primary desired outcome

Designing a Multiple Submission Policy Supporting Mastery Learning for a Design Thinking Class in a Purely Online Learning Environment

Mastery learning is defined as an approach where students are equipped with complex skills required in the VUCA world instead of simple skills that only apply to traditional classrooms. One way to encourage mastery learning in the classroom is through repeated assessment, specifically formative ones. In this paper, we describe our experience in designing a multiple submission policy to support mastery learning for a design thinking class taught purely online amidst lockdowns due to COVID. The transition to online learning and today’s context presented an opportunity to target mastery learning instead of traditional learning outcomes, which we achieved in two ways. First, we elevated the assessments’ level on Bloom’s taxonomy and encouraged iteration by providing feedback to guide metacognition. Second, we built creative confidence providing a safety net for graded assessments, which helped address fears of judgment and lack of control. In the process, we also overcame transactional distance to help promote self-efficacy, especially those with initially low grades. The policy was implemented with the aid of technology, which served as the medium for learning and dialogue. The use of technology in this study allowed for practices that were otherwise not implemented or even considered in previous trials of the class. The study resulted in positive feedback and improved quality of submissions from participants

Supporting Mastery Learning Through a Multiple-Submission Policy for Assignments in a Purely Online Programming Class

The Learning Edge Momentum (LEM) theory suggests that once students fall behind, it gets more difficult to catch up with the course material. It then becomes increasingly more difficult to connect new, higher-level concepts to those solid edges of knowledge with mastery of basic concepts. Learning for Mastery (LFM) acknowledges that students learn at different paces by allowing students unable to master tests the first time to catch up eventually. This paper describes how an online introductory Python programming course offered to business students followed a multiple-submission policy for assignments to support LFM. The multiple submission policy contributed to the students’ mastery by encouraging individual practice and experimentation while also increasing the students’ comfort level and confidence. The research attempts to find relationships between taking advantage of the multiple-submit policy and results of summative assessments. Qualitative data on students’ self-reported progress per week is cross-referenced with quantitative data from the results of a regression analysis performed on LMS logs related to students’ engagement with course material. Performance on summative assessments is used as the regression’s dependent variable, and engagement with formative assessments in terms of the number of attempts and performance per attempt is used as the explanatory variable