[3] It also invites students to "(re)construct a history through material engagement and exciting DIY (Do-It-Yourself) annotation practices.
"[4] Annotation practices that are available today offer a remarkable set of tools for students to begin to work, and in a more collaborative, connected way than has been previously possible.
Textual scholarship is a discipline that often uses the technique of annotation to describe or add additional historical context to texts and physical documents to make it easier to understand.
[7] Students often highlight passages in books in order to actively engage with the text.
Students can use annotations to refer back to key phrases easily, or add marginalia to aid studying and finding connections between the text and prior knowledge or running themes.
Students use Annotation not only for academic purposes, but interpreting their own thoughts, feelings, and emotions.
There are multiple genres with Annotation such as math, film, linguists, and literary theory which students find it most helpful to use.
Most students reported the annotation process as helpful for improving overall writing ability, grammar, and academic vocabulary knowledge.
[9][10] The annotation process can be facilitated and accelerated through recommendation, e.g., using the "AnnoMathTeX" system that is hosted by Wikimedia.
[15] Here, annotation can be a way to establish common ground between interactants with different levels of knowledge.
[18] They had allowed users to provide information that popped up during videos, but YouTube indicated they did not work well on small mobile screens, and were being abused.
These techniques can be categorised following the work of Flach[28][29] as follows: geometric (using lines and planes, such as Support-vector machine, Linear regression), probabilistic (e.g., Conditional random field), logical (e.g., Decision tree learning), and Non-ML techniques (e.g., balancing coverage and specificity[23]).
Note that the geometric, probabilistic, and logical machine learning models are not mutually exclusive.
[28] Pham et al.[30] use Jaccard index and TF-IDF similarity for textual data and Kolmogorov–Smirnov test for the numeric ones.
Alobaid and Corcho[35] approximated the q-q plot for predicting the properties of numeric columns.
This can help establish blame in the event a change caused a malfunction, or identify the author of brilliant code.
The annotations can be embedded in class files generated by the compiler and may be retained by the Java virtual machine and thus influence the run-time behaviour of an application.
[50] In the medical imaging community, an annotation is often referred to as a region of interest and is encoded in DICOM format.
[51] One purpose of annotation is to transform the data into a form suitable for computer-aided analysis.