@misc{13017,
  abstract     = {{The article presents the potentials and capacities of extracurricular activities such as student workshops for strengthening existing curricula and introducing emerging specialised areas, topics, and challenges into architectural higher education. The specific objective of this study is to enhance and test different pedagogical models for learning on the sustainable rehabilitation of mass housing neighbourhoods (MHN), as a specific type of modern heritage, through innovative extracurricular teaching practices based on interdisciplinarity, flexibility, and adaptability. This research presents three student workshops focusing on the rehabilitation of mass housing neighbourhoods (MHN), involving students, academics, and professionals from the field, organised in Germany, Serbia, and North Macedonia in 2022. Moreover, it engages a comparative analysis of the learning formats and approaches developed within this discipline-specific cross-border collaboration. The study provides (1) an insight into the comparative analysis of learning capabilities and (2) the formulation of workshop models supported by diagramming of the workshop structure. The conclusion of the article summarises the findings and highlights the essential aspects for engaging student workshops, as an instrument for generating operational knowledge in the field of mass housing rehabilitation.}},
  author       = {{Dragutinovic, Anica and Milovanovic, Aleksandra and Stojanovski, Mihajlo and Damjanovska, Tea and Đorđevic, Aleksandra and Nikezic, Ana and Pottgiesser, Uta and Ivanovska Deskova, Ana and Ivanovski, Jovan}},
  booktitle    = {{Sustainability}},
  issn         = {{2071-1050}},
  keywords     = {{extracurricular activities, extracurricular learning formats, student workshops, workshop models, pedagogical models, architectural higher education, mass housing neighbourhoods, sustainable rehabilitation}},
  number       = {{3}},
  publisher    = {{MDPI }},
  title        = {{{Approaching Extracurricular Activities for Teaching and Learning on Sustainable Rehabilitation of Mass Housing: Reporting from the Arena of Architectural Higher Education}}},
  doi          = {{10.3390/su15032476}},
  volume       = {{15}},
  year         = {{2023}},
}

@misc{8457,
  abstract     = {{Mass housing neighbourhoods (MHN) represent the leading pattern of urban transformation and expansion in the second half of the 20th century, and accordingly evaluation, regeneration and redesign of the MHN represent a necessary and challenging task in the contemporary research context. In the practical scope of MHN rehabilitation, various holistic approaches and design strategies are identified that affirm both ecological transition and social transformation of these urban settings. However, the level of application of such approaches across Europe varies greatly, and requires research initiatives of a comparative nature that open a cross-geographical debate at the European level. Although there is a series of evidence-based studies that define the conceptual framework of MHN, i.e., large-scale housing settlements, through historical-interpretative and chronological analyses, the academic debate on practical and feasible MHN rehabilitation and their sustainable integration into the urban development of cities at European level is underdeveloped. The specific objective of this paper is to establish preliminary insights into the current level of MHN rehabilitation and to identify challenges for further actions through (1) a comparative analysis of MHN role models from the second half of 20th century, and through (2) insights from an implemented expert questionnaire. The research engages a comparative case study analysis as the primary method and analyses MHN in Germany (as a representative of Western Europe) and in the two ex-Yugoslav countries, North Macedonia and Serbia (as representatives of Eastern Europe). This research has highlighted the main obstacles and challenges for MHN rehabilitation and demonstrated the importance of a multiscale approach to MHN analysis, having in mind that through the distribution of design values at the analysed spatial levels (neighbourhood level, building level, and apartment level) the application of affirmative indicators within different design values group is recognised.}},
  author       = {{Milovanovic, Aleksandra and Dragutinovic, Anica and Nikezic, Ana and Pottgiesser, Uta and Stojanovski, Mihajlo and Ivanovska Deskova, Ana and Ivanovski, Jovan and Damjanovska, Tea}},
  booktitle    = {{Sustainability / Multidisciplinary Digital Publishing Institute (MDPI)}},
  issn         = {{2071-1050 }},
  keywords     = {{mass housing neighbourhoods, rehabilitation, housing design values, comparative case study, questionnaire, multiscale approach, Germany, North Macedonia, Serbia}},
  number       = {{13}},
  publisher    = {{MDPI}},
  title        = {{{Rehabilitation of Mass Housing as a Contribution to Social Equality: Insights from the East-West European Academic Dialogue}}},
  doi          = {{10.3390/su14138106}},
  volume       = {{14}},
  year         = {{2022}},
}

@inbook{4337,
  abstract     = {{Our goal is to develop a system for coaching human motions (e.g., for rehabilitation and daily health maintenance). This paper focuses on how to coach a user so that his/her motion gets closer to the good template of a target motion. It is important to efficiently advise the user to emulate the crucial features that define the good template. The proposed system (1) automatically mines the crucial features of any kind of motion from a set of motion features and (2) gives the user feedback about how to modify the motion through an intuitive interface. The crucial features are mined by feature sparsification through binary classification between the samples of good and other motions. An interface for motion coaching is designed to give feedback via different channels (e.g., visually, aurally), depending on the type of error. To use the total system, all the user must do is just move and then get feedback on the motion. Following experimental results, open problems for future work are discussed.}},
  author       = {{Ukita, Norimichi and Kaulen, Daniel  and Röcker, Carsten}},
  booktitle    = {{Smart Health : Open Problems and Future Challenges}},
  editor       = {{Holzinger, Andreas and Röcker, Carsten and Ziefle, Martina}},
  isbn         = {{978-3-319-16225-6}},
  keywords     = {{Motion coaching, Error feedback, Physical rehabilitation}},
  pages        = {{ 189 -- 208}},
  publisher    = {{Springer}},
  title        = {{{A User-Centered Design Approach to Physical Motion Coaching Systems for Pervasive Health}}},
  doi          = {{10.1007/978-3-319-16226-3_8}},
  volume       = {{8700}},
  year         = {{2015}},
}

@inproceedings{4374,
  abstract     = {{Our goal is to develop a system for coaching human motions (e.g. rehabilitation). Such a coaching system should have several function such as motion measurement, evaluation, and feedback. Among all, this paper focuses on how to modify a user’s motion so that it gets closer to the good template of a target motion. To this end, it is important to efficiently advise the user to emulate the crucial features that define the good template. The proposed method automatically mines the crucial features of any kind of motions from a set of all motion features. The crucial features are mined based on feature sparsification through binary classification between the samples of good and other motions.}},
  author       = {{Ukita, Norimichi  and Eimon, Koki and Röcker, Carsten}},
  booktitle    = {{Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare }},
  editor       = {{Hein, Andreas}},
  isbn         = {{978-1-63190-011-2}},
  keywords     = {{motion coach, rehabilitation, pervasive health, ambient assisted living}},
  location     = {{Oldenburg}},
  pages        = {{223--226}},
  publisher    = {{ ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)}},
  title        = {{{Mining Crucial Features for Automatic Rehabilitation Coaching Systems}}},
  doi          = {{10.4108/icst.pervasivehealth.2014.255133}},
  year         = {{2014}},
}

