Teaching
Checking and reviewing papers
Upload a paper, have quotations and sources checked and receive a review with a grade proposal — the grade is set by a person.
Зачем#
Checking seminar papers, term papers and theses takes time. The platform takes over what can be checked mechanically and justifies every objection with a rule number from the guideline.
Как это работает#
Маршрут кликовCheck papersOpen paperCheck now
- 1Open the page “Check papers” (address /dozent/arbeiten) and upload a paper: title, author identifier, type (seminar paper, term paper, bachelor's thesis, master's thesis, other), date the topic was issued, assessment round, length according to the module description, deviating supervision agreement, file.
- 2“Upload and read” — the paper then appears in the list as “read, not yet checked” (Рис. 1).
Рис. 1 “Recently submitted”: the uploaded papers with type, author identifier and status of the check. - 3Open the paper and choose “Check now” (optionally with “Check quotations (takes time)”) — this takes up to two minutes.
- 4In the review folder read every finding with its rule number and location and choose “Accept” or “Discard” (Рис. 2).
Рис. 2 The review folder: every finding with rule number, location, “Accept” and “Discard”. - 5Under “Assessment” read the machine proposal, choose the grade yourself and “Set grade”; before that the paper can be “submitted to the author for comment” (Рис. 3).
Рис. 3 “Assessment”: the machine proposal, the examiner's choice of grade and “Set grade”. - 6“Download complete file” — paper, findings, log and the wording of every cited rule in one file.
Настройки и переключатели#
Собственного переключателя в каталоге нет — функция относится к своему окружению.
Why the details at upload matter#
- Topic issued on — determines which version of the guideline applies (rule 1.2).
- Assessment round — all papers of a round are checked with the same checking tools (rule 1.3). A new round can be created directly.
- Length according to the module description (words) — without a target there is no length finding (rule 2.4).
- Deviating supervision agreement — if the text names a rule number, the objection to it is dropped (rule 1.1).
The states of a paper#
- read, not yet checked
- checked, findings open
- submitted to the author
- graded — the list then shows “Grade x.x”
What the review folder contains#
Findings with rule, location, objection and source; for each finding the examiner decides “Accept” or “Discard”. Below that “Discarded by the machine”: observations that the check itself dropped because they did not meet the requirements of a rule — they are listed there so that nobody has to claim the system saw nothing.
Plus the check log and a section “What was not assessed by machine”. The examiner's justification is a separate field.
Советы#
- The grade proposal and the grade are in separate fields; there is deliberately no “Accept proposal” button. A person has to decide (Art. 22 GDPR).
- There is no AI score for cheating — detectors provide no proof.
- An image PDF without a text layer is rejected; PDFs with a text layer, DOCX and text are accepted.
Попробуйте сами#
Отсканируйте QR-код или нажмите кнопку
Открывает демонстрационную роль с вымышленными данными — без регистрации.
Попробуйте самиhttps://kurs.balzac-publishers.com/api/g-uds/enter?persona=karl&next=%2Fdozent%2Farbeiten
Связанные функции#
- Academic guidelineThe rules for academic work against which papers are checked — each with a number and legal basis, public and as a PDF.
- Fact check of the contentVerifiable statements in courses are checked against sources by two models — when new slides are generated and on a schedule across the whole inventory; every case is recorded in a file that cannot be retouched.
- Lecturer areaThe lecturers' home page: lead classes, maintain course texts in every language, set exams, assess papers, grade projects, maintain your profile.
- Achievement archive & ECTS accountThe student's grades, credit points and weighted average, their own final transcript — and the certificates to download.
Справочные знания
- Taking the load off teachers: where AI really saves timeWhere AI genuinely saves teachers time — preparation, differentiation, feedback, admin — and where caution is needed, for example with assessment and data.
- Assessing theses: plagiarism, citations and guidelinesHow universities assess term papers and theses fairly: a guideline, plagiarism and citation checks, the limits of AI detectors, and grades set by humans.
