The INCOLTS framework: Bridging emerging technologies and science education in schools

Eva Schmidthaler, Barbara Sabitzer, Zsolt Lavicza
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Abstract

The INCOLTS framework (Innovative Cooperative Open-Learning in Technology-Enhanced Science Education) is an example of an integrative tool designed to explore how emerging educational technologies (EdTech) can enhance science education. It incorporates principles of teaching and learning that align with how the brain processes information, often referred to as neurodidactics. Built on Sabitzer’s COOL Informatics Model, INCOLTS emphasizes multimodal, brain-based learning strategies, such as active engagement, pattern recognition, and spaced repetition, to enhance retention and understanding. The framework promotes inclusivity and diversity through personalized, hands-on learning methods that cater to individual needs and learning styles, ensuring accessibility for all students. INCOLTS also addresses the critical need for long-term teacher support (Culture of Exchange) by providing structured professional development, pre- and post-assessments, and ongoing mentoring to empower educators in effectively integrating EdTech into their teaching practices. While INCOLTS is still in development and testing, it serves as an example of how such tools can be designed to align with global education goals and prepare learners for a digital and interdisciplinary world.
INCOLTS框架:连接新兴技术和学校科学教育
INCOLTS框架(技术增强科学教育中的创新合作开放学习)是一个综合工具的例子,旨在探索新兴教育技术(EdTech)如何加强科学教育。它结合了与大脑如何处理信息相一致的教学原则,通常被称为神经教学法。INCOLTS以Sabitzer的COOL信息学模型为基础,强调多模式、基于大脑的学习策略,如积极参与、模式识别和间隔重复,以增强记忆和理解。该框架通过个性化的实践学习方法促进包容性和多样性,以满足个人需求和学习风格,确保所有学生都能获得学习机会。INCOLTS还通过提供结构化的专业发展、前后评估和持续的指导,使教育工作者能够有效地将教育技术融入他们的教学实践,解决了对教师长期支持(交流文化)的迫切需求。虽然INCOLTS仍处于开发和测试阶段,但它可以作为一个例子,说明如何设计此类工具以符合全球教育目标,并使学习者为数字化和跨学科的世界做好准备。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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