Publication Info
Type Inproceedings
Year 2015
Venue Paper presented at the IOSTE Eurasian Regional Symposium and Brokerage Event Horizon 2020, Istanbul, Turkey. April 24 – 26, 2015.
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Inproceedings

A project idea on working definition of IBSE in Europe through artificial intelligence

Kahveci M

2015 — Paper presented at the IOSTE Eurasian Regional Symposium and Brokerage Event Horizon 2020, Istanbul, Turkey. April 24 – 26, 2015.

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Citation (APA)

Kahveci M (2015). A project idea on working definition of IBSE in Europe through artificial intelligence. Paper presented at the IOSTE Eurasian Regional Symposium and Brokerage Event Horizon 2020, Istanbul, Turkey. April 24 – 26, 2015.

Abstract

This project idea outlines a proposal for a Horizon 2020 grant to establish a working definition of Inquiry-Based Science Education (IBSE) across Europe using artificial intelligence (AI). The project addresses the need to understand the current status of IBSE practices among European teachers, researchers, and policymakers, focusing on actual classroom implementation.

The core output would be an AI-powered platform designed to help teachers self-educate on IBSE best practices, providing a path for large-scale teacher certification based on shared inquiry methodologies. The project sought partners with prior FP7 IBSE experience and SMEs skilled in developing adaptive educational software with AI.

BibTeX

@inproceedings{u, title = {A project idea on working definition of IBSE in Europe through artificial intelligence}, author = {Kahveci M}, year = {2015}, booktitle = {Paper presented at the IOSTE Eurasian Regional Symposium and Brokerage Event Horizon 2020, Istanbul, Turkey. April 24 – 26, 2015.}, abstract = {This project idea outlines a proposal for a Horizon 2020 grant to establish a **working definition of Inquiry-Based Science Education (IBSE)** across Europe using **artificial intelligence (AI)**. The project addresses the need to understand the current status of IBSE practices among European teachers, researchers, and policymakers, focusing on actual classroom implementation. The core output would be an **AI-powered platform** designed to help teachers self-educate on IBSE best practices, providing a path for large-scale teacher certification based on shared inquiry methodologies. The project sought partners with prior FP7 IBSE experience and SMEs skilled in developing **adaptive educational software with AI**.} }