In course design, topic outline organization encompasses the structuring and sequencing of topics to be delivered in a learning environment. Recent studies in topic outline optimization revolve around massive open online courses (MOOCs) due to their abundance but not much has been studied on the traditional courses. This study investigates the…

The purpose of this investigation was to identify and describe the differences in the methods used by experts (university chemistry professors) and nonscience major introductory chemistry students, enrolled in a course at the university level, to solve paired algorithmic and conceptual problems. Of the 180 students involved, the problem-solving…

The typical introductory programming course is not an appropriate first computer science course for many students. Initial experiences with programming are often frustrating, resulting in a low rate of successful completion, and focus on syntax rather than providing a representative picture of computer science as a discipline. The paper discusses…

Identifies and describes the differences in the problem-solving methods used by faculty teaching introductory chemistry and students enrolled in an introductory chemistry course. Results indicate that students correctly solve algorithmic-mode problems more frequently. Contains 33 references. (DDR)

Incident identification graphs can be used to diagnose areas of difficulty in a subject's problem-solving schema at the episodic level. In this study, 22 subjects (2 experts and 20 novices) categorized into five problem-solving groups (expert, high algorithmic/high conceptual, low algorithmic/high conceptual, high algorithmic/low conceptual, and…