Abstract
Research into teaching and learning methodologies is intense and demonstrates the academic community's unrelenting need to understand how people learn in a continuous effort to improve efficiency in the transmission of knowledge. Teachers are dealing with a growing disengagement of students in recent decades. In part, this is due to the increase in the spread of ICT technologies outside the classroom, particularly those supporting social networking and video games. New trends, such as gamification and flipped classroom, are emerging to try to find ways to stimulate increased student engagement and motivation. In this chapter, the authors present a critical reflection and field experiences, around the potential of joint implementation of gamification with flipped classroom, demonstrating possibilities of positive increment of efficiency and effectiveness of teaching and learning processes.

Abstract
We present the status and plans for the Keck All sky Precision Adaptive optics (KAPA) program. KAPA includes (1) an upgrade to the Keck I laser guide star adaptive optics (AO) facility to improve image quality and sky coverage, (2) the inclusion of AO telemetry-based point spread function estimates with all science exposures, (3) four key science programs, and (4) an educational component focused on broadening the participation of women and underrepresented groups in instrumentation. For this conference we focus on the KAPA upgrades since the 2020 SPIE proceedings1 including implementation of a laser asterism generator, wavefront sensor, real-time controller, asterism and turbulence simulators, the laser tomography system itself along with new operations software and science tools, and modifications to an existing near-infrared tip-tilt sensor to support multiple natural guide star and focus measurements. We will also report on the results of daytime and on-sky calibrations and testing.

Abstract
This paper presents a cost-effective approach of a mecanum wheel robotic platform for educational propose on the development of an autonomous or remote controlled mobile robot with a four-wheel mecanum drive train. The main structure of the mobile robot was developed in Solidworks and it was built using additive manufacturing to validate in a real scenario. The main objective of developing this type of mobile platform was the ability to transport different types of cargo or robotic arm on industrial spaces or on rough terrain, since the implemented suspension mechanism allows the wheels contact to the floor. Another important objective is the maneuverability and the capacity to be guided in various environments, a great advantage in this type of mobile platform. An additional advantage of the developed mobile robot is the easy way to reconfigure the structure for new acquired parts.

Abstract
The COVID-19 pandemic had the most impact on teaching and learning processes worldwide, particularly considering the traditional universities that base their pedagogic processes on face-to-face teaching. The imposed lockdown implied that suddenly all teaching-learning processes had to move online, which led to increased use of and familiarization with web conferencing technologies, thus intensifying and driving new ways to learn and communicate while launching new or enforcing existing online learning communities. These online learning practices tend(ed) to be adopted after the pandemics, thus establishing unstructured approaches of hybrid pedagogic models integrating both online and face-to-face classroom-based teaching-learning processes. In this talk, we report on online teaching practices during the COVID-19 pandemic in the context of the learning unit Research Methods in Design in the Master Program of Design of the Faculty of Arts and Humanities of the University of Saint Joseph, Macau, China, where we have adopted open distance teaching and learning strategies based on student-student interaction through collaborative learning. Based on this experience, we propose a simplified virtual pedagogic model in view of the post-pandemic teaching and learning scenarios at a face-to-face university like the University of Saint Joseph.

Abstract
This article aims is to address whether, and to what extent, socioeconomic conditions influence entrepreneurship-based activities in 18 European countries grouped into subregions (North, South, East and West) during the period 2008-2018. We conducted the empirical study under a two-stage DEA model. The results of scores of technical efficiency of the first stage of DEA show inefficiency in Northern Europe for Finland, Ireland and Sweden, while, Belgium, Germany, France and Luxembourg are also inefficient countries in Western Europe. Finally, Spain and Italy are inefficient in Southern European group of countries. In the second stage of DEA, through the parametric fractional regression model (FRM), which consolidated results of one-part and two-part models, the results show that the Expenditure on Social Protection produces positive (high magnitude coefficient) statistical significance on TEA of Eastern, Western and Southern EU countries, while generates a negative (high magnitude coefficient) statistical significance on TEA of Northern EU countries. Moreover, in the Eastern, Western and Southern EU countries, in contrast with Northern EU countries, presumably the dimensions of the social welfare (employment/unemployment protection and so on) are used to encourage individuals to invest in specific skills and/or new businesses. Furthermore, the results in this second stage of DEA helps gain a thorough perspective on how economic and social impacts result from TEA efficiency.

Abstract
Offshore wind turbine application has been widespread in the last years, with an estimation that in 2030 will reach a total capacity of 234GW. Offshore wind farms introduce advantages in terms of environmental impact (noise, impact on birds, disrupted landscapes) and energy production (34% onshore and 43% offshore). Still, they also introduce scientific challenges in developing methodologies that allow wind farm inspection (preventive maintenance) safety for humans. This paper presents a UAV approach for autonomous inspection of inland windturbine and describes the field tests in Penela, Portugal. From the state-of-the-art available wind turbine inspection, in 2015, we carried out the first autonomous inspection with a UAV. The inspection of wind blades offshore is an ongoing project; therefore, the paper also presents the preliminary results with a simulation environment to validate the 3D LiDAR and the inspection procedure with new challenges effects: floating platform, wind gusts, and unknown initial blade position.