Abstract
Reducing office buildings' energy consumption can contribute significantly towards carbon reduction commitments since it represents similar to 40% of total energy consumption. Major components of this are lighting, electrical equipment, heating, and central cooling systems. Solid evidence demonstrates that individual occupants' behaviors impact these energy consumption components. In this work, we propose the methodology of using virtual choreographies to identify and prioritize behavior-change interventions for office users based on the potential impact of specific behaviors on energy consumption. We studied the energy-related office behaviors of individuals by combining three sources of data: direct observations, electricity meters, and computer logs. Data show that there are behaviors with significant consumption impact but with little potential for behavioral change, while other behaviors have substantial potential for lowering energy consumption via behavioral change.

Abstract
A critical factor in immersive educational narratives is identification by students with the characters. In this work-in-progress analyzes the process of rendering characters from textual narratives into visual form by non-artists (i.e., instructors). We tried to match archetypes with their visual representation through the platforms: Pixton, Powtoon (both 2D) and The Sims4 (3D). The limitations of characterization can impact students' narrative immersion. As future work we intend to test with the target group and observe the improvements needed to increase identification and sense of immersion in the narrative.

Abstract
Research data on the activities of student teams in online learning environments are relevant for evaluating instructional methods, strategies, tools, and materials. For research data sharing and publication purposes, these personal data must be anonymized or pseudonymized as recommended by data protection and privacy policies. This paper addresses issues related to anonymizing and pseudonymizing student data on the Slack teamwork platform, one often employed in educational and business settings. Issues are discussed from two perspectives: data extraction and data transformation. Difficulties and challenges concerning data extraction and transformation are described. The complexities of these two processes are considered, and a starting point for developing more efficient methods is put forward.

Abstract
In the field of immersive learning, instructors often find it challenging to match their pedagogical approaches and content knowledge with specific technologies. Unfortunately, this usually results in either a lack of technology use or inappropriate use of some technologies. Teachers and trainers wishing to use immersive learning environments face a diversity of technological and pedagogical alternatives. To scaffold educators in their planning of immersive learning educational activities, we devised a recommendation tool, which maps educational context variables to the dimensions of immersion and uses educators' contexts to identify the closest educational uses. Sample educational activities for those uses are then presented, for various types of educational methodologies. Educators can use these samples to plan their educational activities in line with their current resources or to innovate by pursuing entirely different approaches.

Abstract
It is increasingly required that Engineering Education courses include activities that promote the development of cognitive skills, such as metacognition. However, including such activities is challenging for lecturers, particularly in Distance Learning contexts. It is also complex, when working online, for teaching staff to carry out monitoring of the metacognitive learning processes of students, understand their difficulties, and provide formative feedback. In this work, we present the design and discussion of a pedagogical strategy: Metacognitive Challenges (MC), which allows lecturers to monitor the evolution of students' perceptions regarding their learning process We discuss how lecturers can use MCs for formative assessment and how to weave this intervention with individual students or groups. The Design Science Research methodology was adopted for the design, implementation, and demonstration of MCs, applied in a Software Engineering course within a distance learning Informatics Engineering undergraduate programme. We exemplify how MCs have the potential to support monitoring of students' cognitive and metacognitive processes and offer a set of guidelines on how the teaching staff can use them. In future work, we intend to evaluate the effectiveness of MCs in different teaching contexts, and develop technological solutions that facilitate the monitoring process (reduce the time and effort required for analysis of MC content). © 2022 University of Minho. All rights reserved.

Abstract
Os ambientes de aprendizagem imersivos são espaços onde se coocorrem dois fenómenos complexos: a aprendizagem e a imersão, levantando dificuldades de interpretação e, consequentemente, da liberdade de decisão dos participantes para sua orquestração pedagógica ou de aprendizagem. Neste trabalho apresenta-se uma conceptualização teórica que combina estes fenómenos, com o objetivo de contribuir para a resolução deste problema. Demonstra-se através de cinco casos como esta conceptualização permite novas formas de interpretar e analisar a aprendizagem, para dessa forma concretizar o potencial de impacte sobre a orquestração pedagógica e a regulação da aprendizagem.