temporary easychair adjustment in call-for-papers.md

Author: jakubkuzilek

content/call-for-papers.md

@@ -50,7 +50,7 @@ We invite submissions in the following categories:
 - **Position papers (4-6 pages):** Position papers are dedicated to technical and critical views and opinions on explainable AI in education, and should present a novel viewpoint on a problem, or on a novel solution to a problem. They do not need to contain primary research data, but are substantiated by facts or principled arguments to provide new insights or opinions to a debate.
 - **Encore Papers (no page restrictions):** This track is for recently published papers (2022 onwards) relevant to the workshop. Authors submit an abstract and a link or PDF of the recently published work.
 
-Submitted papers should be formatted using the [EDM submission templates available here](https://educationaldatamining.org/edm2025/instructions-for-authors/), and submitted to the [HEXED Workshop on EasyChair](https://easychair.org/my/conference?conf=hexed2025). Accepted papers will be invited to present at a poster session, and presenters may be invited to give spotlight talks. References do not count towards the page limit. Authors can also include appendices to more clearly describe datasets and tools if necessary, and these do not count toward the page limit.
+Submitted papers should be formatted using the [EDM submission templates available here](https://educationaldatamining.org/edm2025/instructions-for-authors/), and submitted to the EasyChair (link will be provided soon)<!--[HEXED Workshop on EasyChair](https://easychair.org/my/conference?conf=hexed2025)-->. Accepted papers will be invited to present at a poster session, and presenters may be invited to give spotlight talks. References do not count towards the page limit. Authors can also include appendices to more clearly describe datasets and tools if necessary, and these do not count toward the page limit.
 
 All submitted papers should be carefully blinded for review. Take care to remove all authors' names and identifying information (e.g. grant numbers), and refer to any of your prior work in the third person (e.g. "Previously, Smith et al. did ... [1]" rather than "In our prior work [1]").