@inproceedings{05beb01bcb6946569ec17a6ef56056db,
title = "Data Literacy Questionnaire for Educators",
abstract = "In the rapidly evolving education landscape amidst pervasive digitalization, educators need help harnessing advanced technologies like Artificial Intelligence (AI) due to limited confidence and access. This paper addresses this pressing issue by introducing a self-assessment questionnaire meticulously crafted to evaluate the data literacy competencies of teachers. It presents a tool that is not just relevant, but crucial in the context of the digital age, aiding educators in identifying areas for enhancement within their educational Data-Driven Decision-Making Processes. Crafted through a Sequential Exploratory Design (DEXPLOS), a pilot study led to its statistical validation and the establishment of three core areas: comprehensive educational analytics, educational problem-solving through data, and ethical meta-learning promotion through data. Thus, this reliable tool encourages educators to progress their practice with data, ensuring they can deliver more personalized, ethical, and impactfullearning.",
keywords = "Artificial Intelligence, Data Literacy, Education, K-12 levels, Questionnaire, K-12 levels.",
author = "Belen Donate-Beby and Garcia-Penalvo, \{Francisco Jose\} and Daniel Amo-Filva",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 26th International Symposium on Computers in Education, SIIE 2024 ; Conference date: 19-06-2024 Through 21-06-2024",
year = "2024",
doi = "10.1109/SIIE63180.2024.10604607",
language = "English",
isbn = "979-8-3503-7662-3",
series = "26th International Symposium on Computers in Education, SIIE 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "MA Conde and M DoRosarioRodrigues and FJ Garcia-Penalvo",
booktitle = "26th International Symposium on Computers in Education, SIIE 2024",
address = "United States",
}