LECTOR: Towards Reengaging Students in the Educational Process Inside Smart Classrooms

Korozi, Maria; Leonidis, Asterios; Antona, Margherita; Stephanidis, Constantine

doi:10.1007/978-3-319-72038-8_11

Cited by 18 publications

(15 citation statements)

References 23 publications

(22 reference statements)

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“…Sensors can monitor the environmental factors inside the room to provide input on the convenience to adapt air quality (e.g., to renew air when CO2 exceeds the recommended limit), temperature, lighting and acoustics, amongst others. Sensors also allow voice detection and recognition, facial recognition, eye-tracking and motion tracking [56], or the checking of whether the student is sitting down or not, using pressure-sensitive sensors [57]. Sensors can also be placed inside the devices such as smartphone cameras [58].…”

Section: Technological Solutionsmentioning

confidence: 99%

“…In the short term, new developments should go in the direction of allowing a new learning paradigm [88], new pedagogies and new teaching methodologies for smart citizens of the 21st century, and for developing new skills and new competences [83]. Concerning technology, the implementation of Smart watches or RFID tag sensors for teachers and students [53][54][55][56][57]64], interactive whiteboards or touch screen displays with multiple students [49,52] or interaction screens that recognise body movements [51,52], and full access to knowledge through mobile devices and full internet access can be considered. It should be noted that there are existing initiatives and solutions of cloud storage [59,62] allowing easy access and information management from anywhere, and devices with collaborative data and writing software tools that allow knowledge sharing, management and co-creation [66], considering students' needs [63] and student-centred learning methods [85], which allow student self-regulation to foster autonomous and lifelong learning.…”

Section: Technology Environment Processesmentioning

confidence: 99%

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The Smart Classroom as a Means to the Development of ESD Methodologies

2020

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Educational institutions are envisioned as principal agents for addressing the current sustainability challenge that society is facing. Education for Sustainable Development (ESD) is transformational and concerns learning content and outcomes, pedagogy and the learning environment in itself. ESD entails rethinking the learning environment (physical and virtual) in line with sustainable development, which implies classrooms' transformation towards learner engagement, formative assessments and active methodologies. This paper responds to this need through exploring the relationship between Smart Classrooms and four widely used ESD methodologies (project or problem-based learning, case study, simulation and cooperative inquiry), identifying how the dimensions and categories of the characteristics of Smart Classrooms can contribute and lead to the implementation of ESD methodologies in real teaching practice in an effective way. The method used in this study consisted of a literature review of both theoretical frameworks separately, ESD and Smart Classrooms, and a subsequent expert analysis to identify the interrelation between both. The Smart Classroom shows a high level of adequacy for using problem and project-based learning, case study and cooperative inquiry methods because of its characteristics in terms of technology developments, environmental conditions and processes. Simulation is the ESD methodology with the lowest level of adequacy in a Smart Classroom, because it is primarily held online rather than through face-to-face teaching. Smart Education facilitates the putting in practice of ESD processes as it enables the creation of intelligent, sustainable, resource-efficient, personalised and adaptive learning environments. Further empirical research is needed to explore the influence that the Smart Classroom has in enabling ESD processes and practices, and to identify students' and teachers' needs at different education levels. Additionally, teacher training programmes focused on the correct use of Smart Classrooms and on the digital competence of teachers are critical to its successful implementation.

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Section: Technological Solutionsmentioning

confidence: 99%

Section: Technology Environment Processesmentioning

confidence: 99%

The Smart Classroom as a Means to the Development of ESD Methodologies

2020

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“…LECTOR [26] exploits the potential of AmI technologies to observe either human-or artifact-oriented behaviors (SENSE), identify whether they require actions (THINK), and intervene (ACT) accordingly-when deemed necessary-in order to fulfill the user needs. According to cognitive psychology, the sense-think-act cycle stems from the processing nature of human beings, who receive input from the environment (i.e., perception), process that information (i.e., thinking), and act upon the decision reached (i.e., behavior) [97].…”

Section: Lectormentioning

confidence: 99%

“…ParlAmI aims to assist inexperienced users in programming their environments in a simple yet effective manner while providing the necessary flexibility to define complex behaviors. Towards this end, it interoperates with the LECTOR framework [26] so as to specify which conditions signify a behavior that requires some action (i.e., triggers), and determine the appropriate interventions to accommodate/help/support the users (i.e., actions).…”

Section: Introductionmentioning

confidence: 99%

ParlAmI: A Multimodal Approach for Programming Intelligent Environments

et al. 2019

Self Cite

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The proliferation of Internet of Things (IoT) devices and services and their integration in intelligent environments creates the need for a simple yet effective way of controlling and communicating with them. Towards such a direction, this work presents ParlAmI, a conversational framework featuring a multimodal chatbot that permits users to create simple “if-then” rules to define the behavior of an intelligent environment. ParlAmI delivers a disembodied conversational agent in the form of a messaging application named MAI, and an embodied conversational agent named nAoMI employing the programmable humanoid robot NAO. This paper describes the requirements and architecture of ParlAmI, the infrastructure of the “Intelligent Home” in which ParlAmI is deployed, the characteristics and functionality of both MAI and nAoMI, and finally presents the findings of a user experience evaluation that was conducted with the participation of sixteen users.

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“…LECTOR [144] is a framework that takes advantage of the ambient facilities already existing in AmI environments in order to identify when the users need help or support and intervene to improve their quality of life. It follows the trigger-action model [48,145,146], which has been in the spotlight as a form of programming AmI environments, using simple “if then” rules.…”

Section: The Intelligent Living Roommentioning

confidence: 99%

Ambient Intelligence in the Living Room

Leonidis

Korozi

Kouroumalis

et al. 2019

Sensors

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The emergence of the Ambient Intelligence (AmI) paradigm and the proliferation of Internet of Things (IoT) devices and services unveiled new potentials for the domain of domestic living, where the line between “the computer” and the (intelligent) environment becomes altogether invisible. Particularly, the residents of a house can use the living room not only as a traditional social and individual space where many activities take place, but also as a smart ecosystem that (a) enhances leisure activities by providing a rich suite of entertainment applications, (b) implements a home control middleware, (c) acts as an intervention host that is able to display appropriate content when the users need help or support, (d) behaves as an intelligent agent that communicates with the users in a natural manner and assists them throughout their daily activities, (e) presents a notification hub that provides personalized alerts according to contextual information, and (f) becomes an intermediary communication center for the family. This paper (i) describes how the “Intelligent Living Room” realizes these newly emerged roles, (ii) presents the process that was followed in order to design the living room environment, (iii) introduces the hardware and software facilities that were developed in order to improve quality of life, and (iv) reports the findings of various evaluation experiments conducted to assess the overall User Experience (UX).

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LECTOR: Towards Reengaging Students in the Educational Process Inside Smart Classrooms

Cited by 18 publications

References 23 publications

The Smart Classroom as a Means to the Development of ESD Methodologies

The Smart Classroom as a Means to the Development of ESD Methodologies

ParlAmI: A Multimodal Approach for Programming Intelligent Environments

Ambient Intelligence in the Living Room

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