{"id":3678,"date":"2024-07-08T06:09:49","date_gmt":"2024-07-08T06:09:49","guid":{"rendered":"https:\/\/datasc4ed.euc.ac.cy\/wp-3-datasced4cien-teacher-professional-development-course\/"},"modified":"2024-07-08T06:09:49","modified_gmt":"2024-07-08T06:09:49","slug":"wp-3-datasced4cien-teacher-professional-development-course","status":"publish","type":"page","link":"https:\/\/datasc4ed.euc.ac.cy\/el\/wp-3-datasced4cien-teacher-professional-development-course\/","title":{"rendered":"WP 3 – DataScEd4CiEn Teacher Professional Development Course"},"content":{"rendered":"\n

Introduction<\/h2>\n\n\n\n

The DataScEd4CiEn Professional Development Programme (Work Package 3) was developed to strengthen teachers’ capacity to integrate Data Science into STEAM education for civic engagement and social justice. Building on the DICE Conceptual Framework developed in WP2, the programme equips primary and lower secondary teachers with the knowledge, pedagogical approaches, digital tools and practical resources needed to implement authentic, data-driven learning experiences in their classrooms.<\/p>\n\n\n\n

Key Achievements<\/h2>\n\n\n\n

The Professional Development Programme successfully:<\/p>\n\n\n\n

\u2705 Developed a comprehensive blended-learning professional development programme for primary and lower secondary teachers.<\/p>\n\n\n\n

\u2705 Created five research-based learning modules combining theory, pedagogy and classroom practice.<\/p>\n\n\n\n

\u2705 Produced an extensive teacher toolkit including study guides, presentations, authentic datasets, digital tools and implementation resources.<\/p>\n\n\n\n

\u2705 Established a collaborative professional learning network connecting teachers, researchers and teacher educators across Europe.<\/p>\n\n\n\n

what wP3 delivers<\/h2>\n\n\n\n

The Professional Development Programme provides educators with a complete set of resources for implementing Data Science in STEAM education, including:<\/p>\n\n\n\n

\ud83d\udccc Five structured professional development modules<\/p>\n\n\n\n

\ud83d\udccc Study guides and presentation materials<\/p>\n\n\n\n

\ud83d\udccc Teacher toolkit with authentic datasets and digital resources<\/p>\n\n\n\n

\ud83d\udccc Practical classroom activities and implementation guidance<\/p>\n\n\n\n

\ud83d\udccc Digital tools supporting inquiry-based data investigations<\/p>\n\n\n\n

\ud83d\udccc Professional learning resources available in multiple languages<\/p>\n\n\n\n

The Professional development Journey<\/h2>\n\n\n\n

The DataScEd4CiEn Professional Development Programme is designed as a progressive learning journey that supports teachers in developing the knowledge, pedagogical approaches and practical skills needed to integrate Data Science into STEAM education for civic engagement and social justice.<\/p>\n\n\n\n

Building on the DICE Conceptual Framework, participants progress from understanding the theoretical foundations of data-centred STEAM education to designing and implementing their own interdisciplinary learning scenarios. Throughout the programme, teachers engage with authentic datasets, digital technologies, Artificial Intelligence, collaborative learning activities and reflective practice, enabling them to confidently translate research into meaningful classroom experiences.<\/p>\n\n\n\n

The Professional Development Journey<\/h3>\n\n\n\n

Understand the DICE Conceptual Framework<\/strong>
Explore the theoretical foundations of Data Science in STEAM education and examine how data can be used to promote civic engagement, social justice and responsible citizenship.<\/p>\n\n\n\n

\u2b07<\/p>\n\n\n\n

Discover Data-centred STEAM Pedagogy<\/strong>
Develop an understanding of inquiry-based, problem-based and project-based learning approaches that support authentic, interdisciplinary learning.<\/p>\n\n\n\n

\u2b07<\/p>\n\n\n\n

Explore Digital Tools and Authentic Data<\/strong>
Gain practical experience using digital tools such as CODAP, Gapminder and World Bank datasets while learning how to formulate statistical questions, identify appropriate datasets and support meaningful data exploration.<\/p>\n\n\n\n

\u2b07<\/p>\n\n\n\n

Develop AI and Data Literacy<\/strong>
Investigate the role of Artificial Intelligence and Machine Learning in society, explore ethical issues such as bias and privacy, and design classroom activities that promote responsible and critical use of AI technologies.<\/p>\n\n\n\n

\u2b07<\/p>\n\n\n\n

Design and Implement Classroom Scenarios<\/strong>
Apply the knowledge and skills developed throughout the programme by designing, implementing and evaluating curriculum-aligned STEAM scenarios that address authentic social justice challenges through data-driven inquiry.<\/p>\n\n\n\n

Course structure<\/h2>\n\n\n\n

The DataScEd4CiEn Professional Development Programme consists of five interconnected modules that progressively develop teachers’ knowledge, pedagogical understanding and practical skills for integrating Data Science into STEAM education. Together, the modules provide a balanced combination of theoretical foundations, classroom-ready resources and opportunities for reflection and application.<\/p>\n\n\n\n

The programme has been designed for primary and lower secondary teachers and can be used flexibly to support both individual professional learning and collaborative professional development within schools and teacher education programmes.<\/p>\n\n\n\n

module 1 \u2013 The DataScEd4CiEn Conceptual Framework<\/h2>\n\n\n\n

Module 1 provides opportunities to learn about the DataScEd4CiEn project and the theoretical concepts that have informed its design. Using a case-based approach, the module provides insights into the components of the DataScEd4CiEn conceptual framework that supports teachers and students need when working with data derived from problem-driven STEAM contexts. By providing insights into the core components of the DataScEd4CiEn conceptual framework, the module will support learner\u2019s in engaging in problem-driven inquiry through the exploration of multivariate data on a range of topics related to citizenship education. Such inquiry can equip the younger generation with the knowledge and skills required to cope with the demands of modern society and become \u201ctomorrow\u2019s progressive leaders, productive workers, and responsible citizens\u201d (Ge et al., 2015, p. 384)..<\/p>\n\n\n\n

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Resources<\/h2>\n\n\n\n
EN_Module 1_Study_Guide_Conceptual Framework<\/a>Download<\/a><\/div>\n\n\n\n
DE-Module 1_Study_Guide_Conceptual Framework de-DE<\/a>Download<\/a><\/div>\n\n\n\n
ES-Module 1 ES_Module_Study_Guide_Conceptual Framework<\/a>Download<\/a><\/div>\n\n\n\n
GR_Module_Study_Guide_Conceptual Framework_FINAL.docx (1)<\/a>Download<\/a><\/div>\n\n\n\n

Module 2 \u2013 Data-centred STEAM Education<\/h2>\n\n\n\n

This module introduces the pedagogical approaches that underpin the DataScEd4CiEn framework. Participants explore inquiry-based, problem-based and project-based learning, examine the principles of integrated STEAM education, and investigate how data science can be embedded within authentic contexts to promote critical thinking, collaboration and responsible citizenship.<\/p>\n\n\n\n

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Resources<\/h2>\n\n\n\n
En_Module 2_Study_Guide_Intro to Data Centered STEAM Education.docx (1)<\/a>Download<\/a><\/div>\n\n\n\n
DE-Module 2_Study_Guide_Intro to Data Centered STEAM Education de-DE<\/a>Download<\/a><\/div>\n\n\n\n
ES_DAtaSCiEd4CiEn_Module2<\/a>Download<\/a><\/div>\n\n\n\n
GR_Module 2_Intro to Data Centered STEAM Education.docx (1)<\/a>Download<\/a><\/div>\n\n\n\n

Module 3 \u2013 The DataScEd4CiEn Teacher Toolkit<\/h2>\n\n\n\n

This practical module equips teachers with the digital tools, datasets and classroom resources needed to implement data-centred STEAM learning. Participants learn how to locate authentic datasets, formulate statistical questions, analyse data using digital tools such as CODAP, and design engaging classroom activities that promote data literacy and evidence-based reasoning.<\/p>\n\n\n\n

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Resources<\/h2>\n\n\n\n
EN_Module 3_Study_Guide_Toolkit to implement DataScEd4CiEn<\/a>Download<\/a><\/div>\n\n\n\n
DE-Module 3_Study_Guide_Toolkit de-DE<\/a>Download<\/a><\/div>\n\n\n\n
ES_Module3_Study_Guide_11112024 (1)<\/a>Download<\/a><\/div>\n\n\n\n
GR_Module 3_Toolkit.docx (2)<\/a>Download<\/a><\/div>\n\n\n\n

Module 4 \u2013 Data Science, Artificial Intelligence and Active Citizenship<\/h2>\n\n\n\n

This module explores the relationship between data science, Artificial Intelligence and Machine Learning within the context of civic engagement and ethical responsibility. Participants investigate how AI systems are developed, examine issues such as algorithmic bias, data privacy and fairness, and develop strategies for helping students become informed, critical and responsible users of AI technologies.<\/p>\n\n\n\n

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Resources<\/h2>\n\n\n\n
EN_Module 4_Study Guide_Data Science and AI<\/a>Download<\/a><\/div>\n\n\n\n
DE-Module 4_Study_Guide_Data Science and AI de-DE<\/a>Download<\/a><\/div>\n\n\n\n