The 7th International Annual Meeting on STEM Education (IAMSTEM 2024) with the theme, “Reimagining STEM Education in the Digital Transformation Era" invites submissions for oral and poster paper presentations on the following strands:
Perspectives on STEM in education
Transdisciplinary learning in STEM
STEM skills for Innovation and Creativity
Research-based practices for engaging students in STEM learning
Digital technologies/learning spaces facilitating STEM learning
School-industry-community partnerships in STEM
STEM Teacher Education and Professional Learning
Integrated pedagogical approaches to STEM
Policy and leadership for improving STEM
Assessment and evaluation of STEM outcomes
STEM as critical literacy
Diverse learners in STEM
STEM and environmental sustainability
All submissions must follow the guidelines below. Deadline for the submission of abstract is on October 20, 2024.
To submit your abstract click here.
Author Guidelines
Full Paper Submission Guidelines:
Full paper should be written in English.
If there are two or more authors, the author presenting should be identified.
The Full Paper should be not more than 12 pages.
Submissions must present original work; as such, papers under review or published/accepted to any peer-reviewed conference/journal with published proceedings will not be accepted.
Submissions that have been previously presented orally, as posters or abstracts-only, or in non-archival venues with no formal proceedings, including workshops or PhD symposia without proceedings, are accepted.
To submit full paper for IAMSTEM2024, please use the IAMSTEM 2024 Paper Submission platform.
Deadline of full paper submission is on December 14, 2024.
Submitted full paper will undergo a double-blind peer review process to qualify for presentation at the conference.
Policies on the Use of Artificial Intelligence (AI):
No part of the research paper should be generated using an AI tool or Large Language Model (LLM);
Editing the paper using a generative AI tool/LLM to enhance the language and readability is allowed, as this approach relies on the refinement of existing author-created material, rather than generating entirely new content.
Images created by AI tools or large-scale generative models are not allowed.
Recommendation for Publication
After an additional review process and extra publication charges, papers from IAMSTEM 2024 will be recommended to be published on: