Workshops

#1 Remote FPGA Based Laboratory to Foster Microelectronic

Purpose/Objectives

Throughout this workshop you will see how digital circuits are described using the VHDL language. We will also record the result of the description in an FPGA using LabsLand's remote FPGA lab. First, we will work with basic circuits to learn the peculiarities of these devices and the description of hardware. Later we will make more complex circuits.

Presenter

• Dr. Pedro Plaza, Researcher, UNED, DIEECQTAI, Spain

Details

Please find the details in this PDF

---

Cancelled

#3 Digital Design on remote FPGAs and the impact on students’ learning

Purpose/Objectives

The goal of this workshop is to engage educators and industry professionals in a discussion on the growing trend of transforming traditional labs to a full-fledged remote environment. The workshop will start with a tutorial where the audience experiences a hands-on exercise on programming a remote FPGA. Second hour will be a presentation on an implemented remote feature that uses a VGA port interfaced with an FPGA board to allow graphics drawing. In the third hour, the audience will form groups to discuss techniques and best practices and pros and cons of a remote experience on the students learning outcomes. No prior experience with FPGAs is expected.

Presenter

• Rania Hussein, University of Washington, Seattle, WA, USA
• Candido Aramburu, Public University of Navarre, Spain
• Pablo Orduña, LabsLand, USA

Details

Please find the details in this PDF

---

#4 International workshop on Cross Reality, Artificial Intelligence, and Online Learning

Purpose/Objectives

Cross Reality (XR) technologies, Artificial Intelligence (AI), and Online Learning (OL) are now well established in higher education and professional training settings. XR technologies - understood as an umbrella term for all applications using augmented, virtual and mixed reality technologies - are used in diverse scientific fields to enhance and innovate the instructional design, e.g., to bring learners into virtual learning environments, which otherwise are not accessible in the real world. AI and machine learning can support learning processes by offering recommendations and assistance to learners for simulation-based training, e.g., in medical and surgery training. OL already has a long standing history in education and instructional design. Over the years, OL has influenced a number of research fields like computer-based learning, computer-supported collaborative learning, computer-assisted training, and many more.

Over the last few years, it has been clearly detectable that the above-named fields are slowly merging and that current research is more and more focusing on developments at the interface between CR, AI, and OL. This workshop intends to start a joint and fruitful discussion between experts from industry and academia to detect distinctions and commonalities in terms of advances in technology, instructional development, and educational research. The goal is to develop future-oriented ideas and concepts for both industry training and higher education on the basis of recent developments and current trends.

Presenter

• Andreas Pester, British University in Cairo, Egypt
• Dominik May, University of Georgia, USA
• Michael E. Auer, Carinthia University of Applied Sciences, Austria

Details

Please find the details in this PDF

---