Centre for Data Intensive Sciences and Applications

Welcome to Higher Research Seminar with Italo Masiello on November 17th


Welcome to the last Higher Research Seminar of the year!

  • When? November 17th 14-15
  • Where? In B1006, Växjö or online

Title: Technology integration is about trust


We started our research project with a baggage of expectations about what we could do with data in compulsory education. Even greater expectation was reflected by the school principals we were working with. “Can we see this? And can we see that?”: asked the principals.

Two years after we started the project, we are standing on the finish line but have not crossed it yet. This means that we have not been able to “really” analyze (any which way) the data to create useful visualization dashboards. But we have learned a hack of a lot!
1. No data standards on site!
2. Digital inheritance is enormous!
3. Everyone develops as they please!
4. Competences are not at the top!
5. GDPR scares the “#€% out of everyone!
6. Local IT infrastructure is not in place!
7. OMG how many hours of dialog it took to get where we are today!
8. It is not about technology. It is about trust!

I will show you what we can do with the data, at this point in time only theoretically. I will also show you the technical infrastructure that Artemis, my doctoral student working with the data, has setup for integrating multiple datasets coming from different companies and schools. If you have experience of working with educational data from the primary school sector, I would also like to hear from you about ideas for future direction.

Welcome to our November PhD-seminar


When? Friday November 3rd 14-16
Where? Onsite: D1140 at Linnaeus University in Växjö and online
Registration: Please sign up for the PhD-seminar via this link https://forms.gle/txd4g2Un1qfYSvr2A by November 1st (especially important if you plan on attending onsite so we have fika for everyone)

14.00-14.10 Welcome and practical information from Welf Löwe
14.10-14.55 Presentation and discussion: Unlock the Power of Mobile Robotics with AI based Vision – Daniel Nilsson, PhD student at Kuka Nordic
14.55 – 15.05 Coffee break
15.05 – 15.50 Presentation and discussion – AI and data literacy: What knowledge and skills are needed in a data-driven society? – Johanna Velander, PhD student UPGRADE and WASP-HS
15.50 -16.00 Sum up and the Big Data Conference and plan for our next seminar on January 12th

Unlock the Power of Mobile Robotics with AI based Vision – Daniel Nilsson, PhD student at Kuka Nordic
This research project proposes a transformation of KUKA’s AMRs into multifunctional agents using the vehicles existing sensors and AI. In the current solutions Autonomous Mobile Robots (AMRs) primarily serve as single-function devices, enabling driverless transportation between various points within a facility. At the same time automation of processes such inventory tracking tend to involve additional investments in additional systems and costly hardware installations, adding to the financial dilemma when striving to transform the operation toward industry 4.0. By allowing AMRs to manage transportation, inventory tracking, and safety compliance simultaneously, such advancement would significantly add to the AMR’s value in production environments.

AI and data literacy: What knowledge and skills are needed in a data-driven society? Johanna Velander, PhD student UPGRADE and WASP-HS
Uncovering patterns and trends in vast, ever-increasing quantities of data has been enabled by different machine learning methods and techniques used in many of the applications that we use in our daily lives. Permeating many aspects of our lives and influencing our choices, development in this field continues to advance and increasingly impacts us as individuals and our society. The risks and unintended effects such as bias from input data or algorithm design have recently stirred discourse about how to inform and teach about AI in K-12 education. As AI is a new topic not only for pupils in K-12 but also for teachers, new skill sets are required that enable critical engagement with AI.

In this presentation, I will talk about my PhD project, which sits at the intersection of computer science and teacher education. In a recent study deploying a Learning Analytics plugin at some LNU courses students’ thoughts, attitudes and emotions were investigated when engaging with their own data (collected by the LMS Moodle). Results revealed a low awareness of data collection and potential data-driven practices and also worries about how this data could be used and who could have access to it. Following these insights and according to my Ph.D. affiliation with UPGRADE and WASP-HS I have continued to investigate how awareness and knowledge of AI concepts, applications and potential ethical concerns often referred to as AI literacy can be taught at a K-12 level in order to inspire future data scientists and to enable equal participation in a digital data-driven society according to a critical literacy perspective that empowers learners to act on and find alternatives to issues present in current AI practice.