Abstract: Systems and methods of the present invention may be used to determine metrics and health scores for content that may correspond to an educational course or textbook, which may be in a digital format. The metrics and health scores may be determined at various hierarchical content levels, and may be used to quantitatively assess how well the corresponding content is performing based on responses submitted to assessment item parts of the content by responders. The metrics may include difficulty and discrimination metrics, which may be determined using maximum likelihood estimation methods based on a modified two parameter item response model. A content analytics interface corresponding to a given content element may be generated and displayed via a user device, and may include content health scores of subcontent within that content element. The subcontent may be ordered according to content health score.

Abstract: A detecting system for detecting flaws in a sample includes an illumination assembly and detecting assembly. The illumination assembly has an infra-red light source and illumination optics for directing a beam of light from the light source to a spot on or within a sample. The detection assembly has a detector for detecting light from an illuminated spot on or within a sample and detection optics for directing light from an illuminated spot on or within a sample to the detector. Such a system may be used for determining flaws in a sample such as a thermal barrier coating on a turbine blade, or a dental or other medical part. In particular the system may be used for determining flaws in a ceramic sample. A method for detecting flaws in a sample is further described.