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Brussels, 15th October 2016María Begoña Peña Lang
EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS
María Begoña Peña Lang 15th October 2016 2/15
GAPS: COMPLEX SYSTEMS
EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS
SCIENTIFIC MODEL
STUDENTS
EDUCATIONAL INSTITUTIONS
COMPANIES
Today in the classroom, tomorrow in the company
15th October 2016María Begoña Peña Lang 3/15
EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS
15th October 2016María Begoña Peña Lang
EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS
4/15
15th October 2016María Begoña Peña Lang
EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS
5/15
Ensuring 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.
15th October 2016María Begoña Peña Lang
EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS
6/15
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
IMPLEMENTATION
AS IS
Educational System Start-Up
Model and its Technology
Environment
TO BE
Advanced Design Learning
Model on STEM
PHASES
15th October 2016María Begoña Peña Lang
EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS
7/15
Techno-Innovative Teaching-
Open and accessible
environment
Digital Collaborative
Environment-STEM
Educational Big Data
PARALLEL ACTIONS
COMPANIES EDUCATIONAL INSTITUTIONS STUDENTS
SKILLS, METHODOLOGIES
15th October 2016María Begoña Peña Lang
EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS
8/15
DATABASE-OBSERVATORY
Big Data, Mining Data,Know-how,
LMS/LCMS, Machine Learning, Artificial
Intelligence, Internet of things.:
TENDENCIES
María Begoña Peña Lang 15th October 2016 9/15
EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS
María Begoña Peña Lang 15th October 2016
EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS
10/15
15th October 2016María Begoña Peña Lang
EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS
11/15
 INNOVATION=RESULTS + CREATIVITY
HORIZON2020 PROJECT
María Begoña Peña Lang 15th October 2016
Inclusive, innovative and
reflective Societies
Scope:
 Equity, quality
 To improve learning and teaching in
innovation and entrepreneurship
skills. OECD skills.
 To connect Primary and
Secondary with entrepreneurial
stakeholders. Interdisciplinary.
 OPEN PLATFORM
 Learning Processes: As “Is”,“To be”
LMS/LCMS
Expected impact:
• On Skills, as a part of: formal, informal
education, business, volunteering
schemes…
• Empower 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
12/15Today in the classroom, tomorrow in the company
María Begoña Peña Lang 15th October 2016
CO-CREATION-Education and skills: Empowering young innovators
13/15
15th October 2016María Begoña Peña Lang 14/15
Community 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
15/15María Begoña Peña Lang 15th October 2016
EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS
STUDENTS

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#SPW13 - Educational Data Mining: Empowering young innovators - María Begoña Peña Lang

  • 1. Brussels, 15th October 2016María Begoña Peña Lang EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS
  • 2. María Begoña Peña Lang 15th October 2016 2/15 GAPS: COMPLEX SYSTEMS EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS SCIENTIFIC MODEL STUDENTS EDUCATIONAL INSTITUTIONS COMPANIES Today in the classroom, tomorrow in the company
  • 3. 15th October 2016María Begoña Peña Lang 3/15 EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS
  • 4. 15th October 2016María Begoña Peña Lang EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS 4/15
  • 5. 15th October 2016María Begoña Peña Lang EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS 5/15 Ensuring 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.
  • 6. 15th October 2016María Begoña Peña Lang EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS 6/15 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 IMPLEMENTATION AS IS Educational System Start-Up Model and its Technology Environment TO BE Advanced Design Learning Model on STEM PHASES
  • 7. 15th October 2016María Begoña Peña Lang EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS 7/15 Techno-Innovative Teaching- Open and accessible environment Digital Collaborative Environment-STEM Educational Big Data PARALLEL ACTIONS COMPANIES EDUCATIONAL INSTITUTIONS STUDENTS SKILLS, METHODOLOGIES
  • 8. 15th October 2016María Begoña Peña Lang EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS 8/15 DATABASE-OBSERVATORY Big Data, Mining Data,Know-how, LMS/LCMS, Machine Learning, Artificial Intelligence, Internet of things.: TENDENCIES
  • 9. María Begoña Peña Lang 15th October 2016 9/15 EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS
  • 10. María Begoña Peña Lang 15th October 2016 EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS 10/15
  • 11. 15th October 2016María Begoña Peña Lang EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS 11/15  INNOVATION=RESULTS + CREATIVITY
  • 12. HORIZON2020 PROJECT María Begoña Peña Lang 15th October 2016 Inclusive, innovative and reflective Societies Scope:  Equity, quality  To improve learning and teaching in innovation and entrepreneurship skills. OECD skills.  To connect Primary and Secondary with entrepreneurial stakeholders. Interdisciplinary.  OPEN PLATFORM  Learning Processes: As “Is”,“To be” LMS/LCMS Expected impact: • On Skills, as a part of: formal, informal education, business, volunteering schemes… • Empower 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 12/15Today in the classroom, tomorrow in the company
  • 13. María Begoña Peña Lang 15th October 2016 CO-CREATION-Education and skills: Empowering young innovators 13/15
  • 14. 15th October 2016María Begoña Peña Lang 14/15 Community 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
  • 15. 15/15María Begoña Peña Lang 15th October 2016 EDUCATIONAL DATA MINING: EMPOWERING YOUNG INNOVATORS STUDENTS

Editor's Notes

  1. -Thank you very much for inviting me to explain the practice: Today in the classroom, tomorrow in the company.
  2. -My principal research topic is based on: Complex systems, above all, integrated systems, connecting companies-educational institutions and students. -Nowadays I´m researching about the University leavers 1st year students at the Faculty of engineering mixing schools and universities. -I think it´s important to focus our research at the gaps between companies-educational institutions-students because sometimes it seems that they talk a different language.
  3. We have to work together, for example we´ll be working in a European project based on Education and skills, empowering young innovators. Professors 4062 Students 45.000 2 years
  4. We have to work together, for example we´ll be working in a European project based on Education and skills, empowering young innovators.
  5. We have to work together, for example we´ll be working in a European project based on Education and skills, empowering young innovators.
  6. 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, alliances… 2. Adaptive development of student-centered learning, competencies within the lifelong learning paradigm. 3. a STEM educational model that guarantees the ácquisition 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
  7. -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 systems…blog, forums, networking… Observatory: 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
  8. 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, alliances… 2. Adaptive development of student-centered learning, competencies within the lifelong learning paradigm. 3. a STEM educational model that guarantees the ácquisition 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
  9. -How could we adapt this to diverse cultures?
  10. -with their own characteristics mixing good results and creativity.
  11. We have to work together, for example we´ll be working in a European project based on Education and skills, empowering young innovators. Inclusive, innovative and reflective Societies Scope: Equity, quality To improve learning and teaching in innovation and entrepreneurship skills. OECD skills. To connect Primary and Secondary with entrepreneurial stakeholders. Interdisciplinary. OPEN PLATFORM Learning Processes: As “Is”,“To be” LMS/LCMS Expected impact: On Skills, as a part of: formal, informal education, business, volunteering schemes… Empower students to create innovative business models, higher youth employment, new markets and new jobs.
  12. -What will each of them offer? -Educational research group: Learning methods, students´skills… -Economy research group: Business models, young people employment… -Technology: Open platform to be flexible… INNOVATION=RESULTS + CREATIVITY
  13. -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. We´ll be working with research groups based on technology, education and economy (a multidisciplinary project) -CIIC CONGRESS: Places for exchanging ideas, NEF
  14. We have to work together, for example we´ll be working in a European project based on Education and skills, empowering young innovators.
  15. -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 innovación -Conocer quien es el alumno, esta muchos años en el colegio -Mantener en el tiempo una innovación es difícil. -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 Educación-Economia-Tecnología -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 país desde el punto de vista de las competencias. Economical education -Mas letra… -We need to talk the same language -Escala evaluación 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-term Transition (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