The ‘Face’ Barriers to Partnership

Spectrum monitoring and interference detection are crucial for the satellite service performance and the revenue of SatCom operators. Interference is one of the major causes of service degradation and deficient operational efficiency. Moreover, the satellite spectrum is becoming more crowded, as more satellites are being launched for different applications. This increases the risk of interference, which causes anomalies in the received signal, and mandates the adoption of techniques that can enable the automatic and real-time detection of such anomalies as a first step towards interference mitigation and suppression. In this paper, we present a Machine Learning (ML)-based approach able to guarantee a real-time and automatic detection of both short-term and long-term interference in the spectrum of the received signal at the base station. The proposed approach can localize the interference both in time and in frequency and is universally applicable across a discrete set of different signal spectra. We present experimental results obtained by applying our method to real spectrum data from the Swedish Space Corporation. We also compare our ML-based approach to a model-based approach applied to the same spectrum data and used as a realistic baseline. Experimental results show that our method is a more reliable interference detector.This project has received funding from the European Research Council project AGNOSTIC (742648), from the Swedish Space Corporation, and from the Swedish National Space Agency under the National Space Engineering Research Programme 3 (NRFP3).QC 20191028</p

The ‘Face’ Barriers to Partnership

Teaching and Learning Together in Higher Education1271-4United State

Commentary: Unlike parents, AI will never tire of entertaining our children. Here’s the catch.

We may all be living on the same planet, but the personalised experience of online platforms creates numerous parallel worlds that fragments our communicative cultures - this problem quietly escapes our attention, and it is dividing us to such extent that it is becoming increasingly difficult for us to respectfully converse and collaborate with others. Seeing how these personalised bubbles are making our youths struggle to understand and work with others, my worry is that this problem will worsen with children raised by AI. If we are not careful, we risk raising a generation of children with severely skewed perceptions of the world due to the personalised bubble AI creates around them. To have such skewed perceptions at such a critical stage of development, we may not be able to break them out of their bubbles when they are older

The University Teaching Opportunities Programme (UTOP): An Opportunity for Educators and Students to Learn from One Another

Jonathan takes us through his experiences of being a mentor for UTOP (University Teaching Opportunities Programme), particularly how it enabled him to collaborate with his UTOP student mentees to design a learning activity in which students could think critically about AI-generated output

On Fostering Responsible and Rigorous Learning with ChatGPT

We are pleased to feature a video interview with Jonathan Sim, where he shares his ongoing journey of integrating artificial intelligence (AI) in his teaching, the challenges encountered along the way, and what educators can do to get their students to meaningfully engage with AI tools like ChatGPT to enhance their learning

Designing ‘knowledge checker’ quizzes that motivate students to review feedback and revise learning

Assignment feedback is key to helping students improve and correct their understanding so they can build upon solid foundations of knowledge as their course progresses. Yet, I found that about 30% of students review their feedback. It is not because students are lazy but because they struggle to find the time and often have little immediate incentive to review feedback for something that has already been graded when they have other assignments to work on. Feedback is most effective when it is shared with students while they are still working on the assignment. In this article, I share how regular quizzes as a tool to ensure students review their assignment feedback and address gaps in their understanding

How to design unforgettable class activities that help students learn better

A problematic trend I notice when conversing with students is how many of them struggle to remember what they did in modules from previous semesters. These discussions got me thinking about how to design learning activities that are unforgettable. Albert Einstein, among other figures credited with the quote, famously said that “education is what remains after one has forgotten what one has learned in school”. I want to ensure my students remember what they have learned from me, especially after all the hard work they put into the course. In this article, I share teaching techniques designed to pique the emotions as a way to lodge key lessons more firmly in students’ memories

My Experiences in Using the Telegram Messaging App as a Teaching Tool

Jonathan discusses the learning issues he observed which prompted him to adopt this platform in his teaching, the implementation process, and his observations of his students’ response to this approach

Commentary: How hustle culture is robbing our youths of self-discovery

Pausing to reflect feels like stagnant inactivity, but it’s crucial for our youths as increasingly more students come to higher education without having truly engaged in self-reflection

Embracing ChatGPT and other generative AI tools in higher education: The importance of fostering trust and responsible use in teaching and learning

Trust is the foundation for learning, and we must not allow ignorance of this new technologies, like Generative AI, to disrupt the relationship between students and educators. As a first step, we need to actively engage with AI tools to better understand how they can help us in our work