Machine learning and data mining techniques have been widely used in educational settings to identify the important features that tend to influence students' learning performance and predict their future performance. However, there is little to no research done in the context of Singapore's education. Hence, this study aims to fill the gap by…

This article describes the design and initial implementation of a multidisciplinary, integrative learning course on the art and science of virtual worlds. The course combines complementary disciplines -- Computing, Physics, and Narrative Art -- in a single general education course for first-year students. The course attempts to incorporate…

A teacher's objective is to provide students the cognitive strategies that enable them to think critically, make decisions, and solve problems. In order to guide student learning, teachers should be aware of the concepts that are prerequisite to the understanding of others and also of typical student misconceptions. The goal of this study was to…

The purpose of this study was to examine whether students' self-regulation skills impact their success and satisfaction in an online learning environment. Data was collected from one hundred and fifty-five students taking an online introductory programming course offered as a part of certification curriculum in a public university in Turkey. The…

The concept of flipping the classroom is slowly gaining tractions at all levels of education. An ever-growing set of resources gives unprecedented access to Information Technology (IT), Computer Science (CS), and Information Systems (IS) students to a significant amount of supplemental material. Videos, interactive demonstrations, and sandboxes…