Ultrasonography (US) of the elbow is an increasingly utilized modality for a variety of diagnoses. US is advantageous in many cases because of the ability to perform a dynamic examination while obtaining patient feedback. Furthermore, US is cost effective, widely available, and beautifully demonstrates superficial soft tissue structures. Finally, US is an excellent option for patients whose studies are degraded by motion artifact or those with claustrophobia concerns. The most common pathologies about the elbow are discussed in this article, including partial- and full-thickness tears of the biceps and triceps tendons, common extensor and flexor tendinosis, medial and lateral epicondylitis, radial and ulnar collateral ligament tears, ulnar nerve entrapment, cubital or olecranon bursitis, joint effusions, and intra-articular bodies. Relevant anatomy is detailed as it pertains to sonographic evaluation and appearance. In addition, specific imaging techniques and positions are described for optimum visualization of the various structures around the elbow because US is highly operator dependent.

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Nowadays, building intelligent systems for science, technology, engineering, and math (STEM) education is necessary to support the studying of learners. Intelligent problem solver (IPS) is a system that can be able to solve or tutor how to solve the problems automatically. Learners only declare hypothesis and goal of problems based on a sufficient specification language. They can request the program to solve it automatically or to give instructions that help them to solve it themselves. Knowledge representation plays a vital role in these kinds of intelligent systems. There are various methods for knowledge representation; however, they do not meet the requirements of an IPS in STEM education. In this paper, we propose the criteria of a knowledge model for an IPS in education. These criteria orient to develop a method for knowledge representation to meet actual requirements in practice, especially pedagogical requirements. For proving the effectiveness of these criteria, a knowledge model is also constructed. This model can satisfy these criteria and be applied to build IPS for courses, such as mathematics and physics.

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