Originality – are we encouraging it in our classrooms?


When running a workshop for a primary class once, instead of asking students to take out pencils to write, I asked them to find some way to write (a task). In my mind, I imagined students would simply take out their pencils. Little did I know how creative and original students could be. From crayons […]

The Future of Writing Style Analyses: Ouriginal Metrics as a Learning Analytics Tool

The Future of Writing Style Analyses

In the last two parts of this series (part 1, part 2) on computational linguistics and writing style analytics, we mostly discussed how stylometry can be used to detect ghostwriters. Besides this scenario, Ouriginal Metrics could also be used as a learning analytics tool to analyze students writing styles, help them to improve their writing skills.

Computational Linguistics To Uncover Ghostwriters And Unfair Contract Cheating – And Its Limitations

Computational Linguistics to uncover ghostwriters through stylometry and Ouriginal Metrics

According to previous theoretical discussions and experimental results in stylometry, genre and topic interference can make differentiation between authors harder. This is because shared word and phrase usage that accompanies writing on the same topic as well as the writing conventions for particular genres make it difficult to identify a strong authorial signature to be used for author verification.

The challenges of contract cheating in education and solutions to overcome them

contract cheating in education and solutions how to overcome it

How does one define originality? As mentioned earlier, there is no one way to define this term. A simple Google search reveals a myriad of meanings and explanations for originality.
The Cambridge dictionary defines originality as the quality of being special and interesting and not the same as anything or anyone else.