«Learning Analytics for Large Scale Data»

Date

15-01-2021

Speaker

Alexandra Cristea

Abstract

Learning Analytics has many definitions, but one of great simplicity and elegance yet clarity is ‘collecting traces that learners leave behind and using those traces to improve learning’ [Eric Duval]. More recently, however, the interest has moved towards ‘big data’, or large scale data, in all aspects of our lives, including for education and learning. This talk will discuss various recent approaches to learning analytics implemented and published by our AIHS research group (Artificial Intelligence and Human Systems) at Durham Computer Science. It will include processing of and analytics based on MOOC data, large-scale questionnaires, private versus public channels of communication in online or blended courses, with applications such as in predicting learner dropout, gamification approaches as well as temporal sentiment analysis, or instructor intervention need.

Slides

Video

Author's Biography

Alexandra Cristea

Alexandra I. Cristea is Professor, Head of the Innovative Computing research group and Deputy Head at the Computer Science Department, Advisory Board Member at the Ustinov College, Durham University. She is N8 CIR Digital Humanities team lead for Durham. She is Honorary Professor at the Computer Science Department, Warwick University. Her research includes web science, learning analytics, user modelling and personalisation, semantic web, social web, authoring, with over 300 papers on these subjects (over 4000 citations on Google Scholar, h-index 33). Especially, her work on frameworks for adaptive systems has influenced many researchers and is highly cited (with the top paper with over 200 citations). She was classified within the top 50 researchers in the world in the area of educational computer-based research according to Microsoft Research. Prof. Cristea has been highly active and has an influential role in international research projects. She has led various projects - Weizman Institute funded JANET (Joint Lab in Learning Analytics for Personalised Science Teaching) project (2020-2022); Newton funded workshop on Higher Education for All ('14-'18), Santander funded Education for disadvantaged pupils ('14-18'), Warwick-funded project APLIC ('11-;12), EU Minerva projects ALS (06-09) and EU Minerva ADAPT (’02-’05); as well as participated as university PI in several EU FP7 projects - BLOGFOREVER (’11-’13), GRAPPLE (’08- ’11), PROLEARN (’07) and as co-PI in the Warwick-funded Engaging Young People with Assistance Technologies (’13-’15) also featured by the BBC. Recently she has taken giving back to the community to a different level, with the project TechUP (2019-2020) training 100 women in computer science from various (BAME) backgrounds. 

«Applying Learning Analytics in Living Labs for Educational Innovation»

Date

15-01-2021

Speaker

Tobias Ley

Abstract

The use of learning analytics in primary and secondary schools is still mostly in piloting stages and not systematically integrated into school and teaching practices. We have developed a Living Labs methodology (called edulabs) that aims to support the systematic introduction of educational innovation in the classroom. A learning analytics approach is integrated into this methodology to enable stakeholders to gather evidence about the success of implementation. I demonstrate the use of the learning analytics toolbox that helps teachers understand engagement in the math classes, or project activities during science classes. I close with a perspective on cognitive learning analytics that allows to diagnose student's cognitive constraints during inquiry learning activities. Together, these examples combine into a theory-guided and stakeholder-driven application of learning analytics in secondary schools.

Slides

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Author's Biography

Tobias Ley

Tobias Ley is a Professor of Learning Analytics and Educational Innovation at Tallinn University (Estonia). He heads the Center of Excellence on Educational Innovation, a university-wide interdisciplinary research center that contributes to creating innovations in teaching and learning in schools, universities and for lifelong learning. Tobias holds a PhD in Psychology from the University of Graz (Austria). He has led numerous national and EU research projects to develop digital technology and research its impact in workplace learning, higher and vocational education. His work is published in over 100 scientific publications and has earned him an outstanding paper award (Journal of Knowledge Management) and a best interdisciplinary paper award (European Conference on Technology-enhanced Learning). Tobias is a member of the editorial board of the IEEE Transactions on Learning Technologies. He received a European award for research excellence in vocational education and training in 2018, and the Estonian state award for research in 2020.

«Opening Education with Artificial Intelligence»

Date

11-12-2020

Speaker

Mitja Jermol

Abstract

Artificial intelligence technologies are being successfully used in various domains like smart cities, factories of the future, autonomous vehicles, personalized retail and shopping, intelligent networks, smart media, cybersecurity, military and many more but only few have been implemented widely in the area of education. In this lecture we will discuss the potentials that AI is bringing into education, enabling education that could be open, global, personalized, inspiring, un-obstructive, accessible to everyone. A responsive educational and social environment that follows and supports each particular individual either being a student/learner or a teacher/mentor, using the vast amount to knowledge, expertise, competences, information, content, educational services, systems and infrastructure available globally. Lecture will be supported with various real AI solutions developed at Jozef Stefan Institute enabling multi-modal and multilingual content understanding, user modelling, learning personalization with learning path construction, competency calculation and assessment, micro credentials and a global learning general AI.

Slides

Video

Author's Biography

Mitja Jermol

Mitja Jermol is UNESCO Chair holder for Open Technologies for Open Educational Resources and Open Learning and the head of the Centre for knowledge Transfer at the Jozef Stefan Institute, the national research institute in Slovenia. He is also a Chief Project Officer at the first International Research Center on Artificial Intelligence under auspices of UNESCO, being responsible for projects that are addressing global challenges related to SDGs with AI. Mitja has a long track record in setting up and managing international RTD projects involving AI in Smart Cities, Circular Economy, Environment, Intelligent Transport, Smart Energy Grids, Factories of the Future, Cyber Security, Technology Enhanced Learning, Knowledge Management and Business Intelligence. Mitja is a member of the management teams of Knowledge4All Foundation, AI4Good Foundation, MyMachine Global.

«Adaptation, Adoption and Learning Analytics Pilots in Latin America»

Date

15-01-2021

Speaker

Pedro J. Muñoz Merino

Abstract

In regions such as Latin America, the application of learning analytics techniques is underrepresented. Higher education institutions in this area can benefit from the use of educational data to aid in academic decision-making to improve the educational process. Depending on multiple factors, the learning analytics tools and solutions to adopt and how to adapt them should be different. Along these lines, the European LALA project tries to extend the use of learning analytics in higher education institutions in Latin America. This talk presents a summary of the main results of this project. The LALA framework is presented as an aid for the identification of needs and the adoption of learning analytics solutions in the Latin American area. A summary is also presented of how tools for counseling and early prediction of academic dropout have been adapted and adopted in different institutions of higher education in the region, based on tools made in Europe. Finally, several pilots of the use of the different tools are presented with hundreds of teachers and thousands of students, with conclusions on the effectiveness, usefulness and impact of the tools and some lessons learned.

Slides

Video

Author's Biography

Pedro J. Muñoz Merino

Pedro J. Muñoz-Merino is a  Professor at Universidad Carlos III de Madrid. He is accredited by ANECA as a Full Professor. He obtained the title of Telecommunications Engineer from the Polytechnic University of Valencia in 2003 and he is Doctor of Telematics Engineering since 2009 (UC3M). He is the coordinator of the LALA project, a project funded by the European Commission for the adoption of learning analytics in Latin America. He has participated in more than 40 research projects at the international and national level, also including several contracts with companies, being the Principal Investigator in several of them related to learning analytics, educational data mining and adaptive systems. He is the author of more than 140 scientific publications including more than 40 in journals indexed in the JCR. In addition, he has coordinated the development and deployment of different learning analytics tools.

«Open Educational Resources for Improving Teaching and Learning Experience in Secondary and Higher Education»

Date

11-12-2020

Speaker

Marina Marchisio

Abstract

OERs, in particular Open Online Courses, represent an opportunity for enhancing success of students and for professional development of teachers of Secondary Schools and Universities. They can improve the teaching and the learning experience and facilitate the transition to the new paradigms of teaching after the recent Covid-19 crisis. In the seminar will be discussed also some positive experiences implemented by University of Turin in order to face the new challenges and to have suggestions for the university educational policies for the future.

Slides

Not available yet

Video

Author's Biography

Marina Marchisio

Marina Marchisio is a full professor of Complementary Mathematics at the University of Turin and Delegate of the Rector for the development and promotion of the University's Digital Education strategies. Her research is focused on learning and teaching Mathematics and scientific disciplines with digital methodologies and innovative technologies. She coordinates the DELTA - Digital Education for Learning and Teaching Advances - Research Group of the University of Turin. She is a member of the Problem Posing and Solving working group of the Italian Ministry of Education. She coordinates several research and didactic projects, held and organized numerous conferences, and is the author of several publications on Digital Education.