AUTOMATIC DETERMINING OF TOKEN SEQUENCE ERRORS IN RESPONSES TO OPEN ANSWER QUESTION IN MOODLE LMS

The paper reviews the problem of automatic analysis, grading and hinting to the student in the questions, where correct answer must be the correct sentence in the target language in which order of words (tokens) is important. Proposed solution consists of combination of lexical analysis and editing distance analysis. Proposed solution was implemented as a CorrectWriting question type to a popular Moodle LMS. Such question type is useful when teaching programming languages and English as foreign language

Personalized medicine: myth or reality? The position of Russian clinical pharmacologists

A personalized medicine, a recent trend of clinical pharmacology, makes possible the individual approach to the choice of the drugs and their dosage. According to the results of a study of the activity of different biomarkers, particularly the isoenzymes of the cytochrome P-450, they provide the efficiency and safety of the pharmacotherapy. The activity of the isoenzymes of the cytochrome P-450 determines an individual pharmacological response and depends on many factors, including genetic ones. The biomarkers of the activity of the isoenzymes of the cytochrome P-450 should be tested in the clinical practice settings using the simple and cheap methods, one of the most available is an immunofluorescent assay. The skilled staff and the centers of personalized medicine are necessary for this approach

DEFINITION OF TYPOS IN ANSWER OF STUDENT IN KNOWN CORRECT ANSWER

The paper describes method of typo detection in the answers for the questions with open answers. In such questions we know one or several correct answers defining relatively small dictionary of correct words contrasting the usual case of looking for typos in arbitrary text. This fact allows using more complex analysis methods and finding more possible typos, such as extra or missing separators. A typo correction module for the Correct Writing question type (for Moodle LMS) was developed using proposed methods