Smart learning environment for the development of Smart City applications

Abstract

The paper presents the results of the "Smart People for Smart Cities!" project funded by European Structural Funds Human Resources. "1 Decembrie 1918" University of Alba Iulia, Romania in partnership with UTI SA Romania, UNINOVA Portugal and INFOR ELEA Italy have collaborated to bridge and enhance people's skills and competences for the development of smart city applications within the university curricula of Applied Electronics, Computer Science and Environmental Engineering specialties. The primary goal was to create an enhanced learning and teaching environment, goal that was achieved through specific objectives: (i.) to set up a researchtesting laboratory where real conditions of a smart city is simulated; (ii.) to develop and implement a software instrument for students' evaluation; (iii.) to develop and implement a software solution for processing data provided by various types of sensors used in the smart city environment. The project successfully complemented the academic curricula with a module of practical applications, which simulate existing automation projects on the market, integrates data obtained from sensors and provides statistical models. Smart City Lab (SCL) computing system covers all stages of data processing in automated systems

Affordances and Core Functions of Smart Learning Environments: A Systematic Literature Review

“…Likewise, SLEs might collect multiple samples along the learning activity to trace stakeholders' actions and reactions. Technology plays a key [19]- [22], [25]- [32], [38], [40], [41], [45]- [47], [49], [51], [53], [54], [56]- [60], [62]- [76] Traceable (tracking and monitoring features) 21 (30.88%) role in SLEs collecting contextual information, which could refer to [85]: (i) identification of the stakeholder (e.g., through face recognition, person identification) or an object (e.g., RFID); (ii) timestamp when learning activities are performed, to record the time where the learning activity is performed;…”

“…Learning management systems (LMSs) were referenced in [28], [29], [35], [38], [39], [42]- [46], [49], [50], [53], [58], [59], [62], [63], [87], [88] Desktop computers 17 (25%) [19], [21], [22], [24], [31], [33], [40], [42], [43], [60], [63], [64], [67], [73], [77], [78], [87] Learning management system 14 (20.59%)…”

Green city: An efficient task joint execution strategy for mobile micro-learning

“…A real-life case ''Smart People for Smart Cities!'' is studied in Kadar, 20 which simulates the real conditions of the smart city and creates an enhanced learning and teaching environment. Meanwhile, Yin et al 21 present context-aware mobile learning for professional situations in the smart city.…”

“…We extend the normalization process to memory and bandwidth. Similar to equation 18, we defined a normalization process of memory and bandwidth that is shown in equations (19) and (20), respectively…”

“…The customized smart teaching and smart learning system are proposed in Elhoseny et al 18 Hammad and Ludlow 19 propose a structural framework for the successful application of smart learning environments in the context of smart city governance. A real-life case “Smart People for Smart Cities!” is studied in Kadar, 20 which simulates the real conditions of the smart city and creates an enhanced learning and teaching environment. Meanwhile, Yin et al 21 present context-aware mobile learning for professional situations in the smart city.…”