#spw13 - educational data mining: empowering young innovators - maría begoña peña lang

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Brussels, 15th October 2016 María Begoña Peña Lang EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS

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Brussels, 15th October 2016Mara Begoa Pea Lang

EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS

-Thank you very much for inviting me to explain the practice: Today in the classroom, tomorrow in the company.

Mara Begoa Pea Lang 15th October 2016

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GAPS: COMPLEX SYSTEMS

EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS

SCIENTIFIC MODELSTUDENTSEDUCATIONAL INSTITUTIONSCOMPANIES

Today in the classroom, tomorrow in the company

-My principal research topic is based on: Complex systems, above all, integrated systems, connecting companies-educational institutions and students.-Nowadays Im researching about the University leavers 1st year students at the Faculty of engineering mixing schools and universities.-I think its important to focus our research at the gaps between companies-educational institutions-students because sometimes it seems that they talk a different language.

15th October 2016Mara Begoa Pea Lang

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EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS

We have to work together, for example well be working in a European project based on Education and skills, empowering young innovators.Professors 4062Students 45.0002 years

15th October 2016Mara Begoa Pea Lang

EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS

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We have to work together, for example well be working in a European project based on Education and skills, empowering young innovators.

15th October 2016Mara Begoa Pea Lang

EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS

5/15Ensuring success in learning by developing and implementing BigData Education and Learning Analytics in STEM Centers with monitoring in the school, college stage, as in the corporative world.

We have to work together, for example well be working in a European project based on Education and skills, empowering young innovators.

15th October 2016Mara Begoa Pea Lang

EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS

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1.Selection and Modelling of schools, STEM Centers: Administrative management, academic; technological processes

2.Significant indicators: it depends on the cluster that belongs to the school, STEM Educative Center.

3.STEM Centers Success Model:Improvement Actions IMPLEMENTATIONAS ISEducational System Start-Up Model and its Technology EnvironmentTO BEAdvanced Design Learning Model on STEM

PHASES

Universe of users: two Pilot STEM Universities and their analytical correlation: Students, Teachers, Educational Center, Families and Managment-Administration

1.As Is: Initial Photo. Technological aspects: teaching and learning resources, systems, databases.. Other aspects: managament, educational/learning model, environment, alliances2. Adaptive development of student-centered learning, competencies within the lifelong learning paradigm.3. a STEM educational model that guarantees the cquisition of knowledge and skills continuously throughout the life of the student, so it can adapt to the changes around them and To be: obtain and integral development of the student and a better quality of life. Depends on the style of learning and teaching, the level of used and implemented technology. Identify BigData Patterns

15th October 2016Mara Begoa Pea Lang

EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS

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Techno-Innovative Teaching-Open and accessible environment

Digital Collaborative Environment-STEM Educational Big Data

PARALLEL ACTIONS

COMPANIESEDUCATIONAL INSTITUTIONSSTUDENTS

SKILLS, METHODOLOGIES

-Tecno-innovative teaching: generate an open and accessible environment for: educational agents, schools, companies, researchers, startups-Collaborative Environment= Digital Environment: a digital ecosystem of partners linked to STEM Educational Big Data: machine learning systems, adaptive learning systemsblog, forums, networkingObservatory: Areas of work-Analysis of competencies, pedagogical models and its data, meeting point for organisations, agents and companies in the BigData STEM Educational environment, Different methodologies

15th October 2016Mara Begoa Pea Lang

EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS

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DATABASE-OBSERVATORY

Big Data, Mining Data,Know-how, LMS/LCMS, Machine Learning, Artificial Intelligence, Internet of things.: TENDENCIES

Universe of users: two Pilot STEM Universities and their analytical correlation: Students, Teachers, Educational Center, Families and Managment-Administration

1.As Is: Initial Photo. Technological aspects: teaching and learning resources, systems, databases.. Other aspects: managament, educational/learning model, environment, alliances2. Adaptive development of student-centered learning, competencies within the lifelong learning paradigm.3. a STEM educational model that guarantees the cquisition of knowledge and skills continuously throughout the life of the student, so it can adapt to the changes around them and To be: obtain and integral development of the student and a better quality of life. Depends on the style of learning and teaching, the level of used and implemented technology. Identify BigData Patterns

Mara Begoa Pea Lang15th October 2016

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EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS

-How could we adapt this to diverse cultures?

Maria Pena Lang (MPL) - Mara Begoa Pea Lang15th October 2016

EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS10/15

-with their own characteristics mixing good results and creativity.

Maria Pena Lang (MPL) - 15th October 2016Mara Begoa Pea Lang

EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS

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INNOVATION=RESULTS + CREATIVITY

We have to work together, for example well be working in a European project based on Education and skills, empowering young innovators.

Inclusive, innovative and reflective SocietiesScope:Equity, qualityTo improve learning and teaching in innovation and entrepreneurship skills. OECD skills.To connect Primary and Secondary with entrepreneurial stakeholders. Interdisciplinary.OPEN PLATFORMLearning Processes: As Is,To be LMS/LCMS

Expected impact: On Skills, as a part of: formal, informal education, business, volunteering schemesEmpower students to create innovative business models, higher youth employment, new markets and new jobs.

HORIZON2020 PROJECTMara Begoa Pea Lang15th October 2016Inclusive, innovative and reflective SocietiesScope:Equity, qualityTo improve learning and teaching in innovation and entrepreneurship skills. OECD skills.To connect Primary and Secondary with entrepreneurial stakeholders. Interdisciplinary.OPEN PLATFORMLearning Processes: As Is,To be LMS/LCMS

Expected impact: On Skills, as a part of: formal, informal education, business, volunteering schemesEmpower students to create innovative business models, higher youth employment, new markets and new jobs.

MAIN PLAYERS-CONSORTIUM

CO-CREATION-Education and skills: Empowering young innovators 12/15

Today in the classroom, tomorrow in the company

-What will each of them offer?-Educational research group: Learning methods, studentsskills-Economy research group: Business models, young people employment-Technology: Open platform to be flexibleINNOVATION=RESULTS + CREATIVITY

Mara Begoa Pea Lang15th October 2016

CO-CREATION-Education and skills: Empowering young innovators 13/15

-Companies like the ones we have here, have different goals, and they will have a principal goal for all of us. They will be working for their own goals and this work will strengthen the general objectives.Well be working with research groups based on technology, education and economy (a multidisciplinary project)-CIIC CONGRESS: Places for exchanging ideas, NEF

Maria Pena Lang (MPL) - 15th October 2016Mara Begoa Pea Lang

14/15Community and Big Data STEM Network of Labour in Education.2 Educational Big Data Reference Congresses.Publication of White Paper: STEM Educational Evolution by Big Data.Advanced Big Data STEM Learning Model.Big Data Observatory for the STEM Educative Community.

EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS

www.ciic.eu

We have to work together, for example well be working in a European project based on Education and skills, empowering young innovators.

15/15Mara Begoa Pea Lang15th October 2016

EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORSSTUDENTS

-Refugees (diferencia entre inmigrantes, refugiados) Lack of skills, how to integrate in labour market. -Cambio mentalidad es algo a largo plazo -Cual es la mejor innovacin-Conocer quien es el alumno, esta muchos aos en el colegio -Mantener en el tiempo una innovacin es difcil. -Dar la estructura de competencias que se va a solicitar (a los alumnos, inmigrantes..)-Cambiar la forma en que trabajan los profesores y cambiar la forma en que ellos trabajan juntos. -No decir en Alemania que vas a preparar a trabajadores para el futuro. What is the education for? (Diferentes instituciones: UNESCO, UE)-Fortaleza Educacin-Economia-Tecnologa -Economy-ecology-sociology -fotos de alumnos en actividades-Investigacion fuera, en el campo-Sistema de tutorizaje de las actividades-Muy importante realizar mucho feed-back -Curriculum-Editoriales -Liderazgo: Mostrarles el camino, los pasos que deben seguir. Llevarlos de un colegio a otro para mostrar el sistema de cada colegio. -Openlearning en colegios -Soft skills (social, personal, digital)-Digital portfolio-Programas UPV-Education-Economy (employment) Que se hace en programas en general desde cada pas desde el punto de vista de las competencias. Economical education -Mas letra-We need to talk the same language -Escala evaluacin calidad colegio-Sustainable development goals United Nations -Vocational education-technical skills-soft skills-Teacher-student-parents-networking-collaboration -Paradigm of teaching as we were teached. The context matters, national context, size, history matters. We need to go through these immigrants babies. Alumni due rciben tmbien en las clases. -Evaluation of schools and we need long-termTransition (school)-Diversity-human rights-Learn to do, to know-e-cooperation -Plan: Agents-Clarify-concepts-factors-cohesion-integration-measurement-improvement-evaluation-communication-collaboration-EMPOWER EU like a team