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Session Overview
Session
A07: Smart Systems and Applications
Time:
Friday, 05/Nov/2021:
11:30am - 1:00pm

Session Chair: Ioannis Kazanidis, International Hellenic University
Virtual location: Zoom Room A

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Presentations

Lexisguru

Aruna Dilshan Hennayaka, Prakash Madhusanka Fernando, Janeru Vageesha Muthunayakage, Nethmini Umayangana Thilakarathne, Uthpala Samarakoon Samarakoon, Suriya Kumari Kumari

Sri Lanka Institute of Information Technology, Sri Lanka

Lexis is an essential part of English. In this rapidly globalizing world, it is fundamentally essential to learn English from a young age. In recent years E-Learning mobile applications have been developed for teaching Lexis to children. Especially in a country like Sri Lanka, English is not the mother tongue, it is the second language. So, when that second language is not taught right the child will lose interest in learning. The problematic area is existing lexis learning mobile applications does not aim at keeping the child interested in the learning process. Researchers came up with a mobile application called “LexisGuru” that uses interactive and effective ways to teach three lexis parts that are homophones, synonyms, and antonyms to children aged between 8-10 in Sri Lanka. This mobile application uses Machine Learning (ML), Image Processing (IP), gamification that includes collaborative environments and speech recognition techniques. The developed application consists of attractive user interfaces, automatic user-level identification with pretests and posttests, attention monitoring, teach lexis via interesting activities and stories, learning lexis through multi-player games, and taking answers as voice inputs. All the features made the mobile application as interactive as possible providing an effective way of teaching lexis to children.



Artificial Intelligence in Study-abroad Program Recommendations

Yang Gao, Xiaochen Wang, Jintao Shi, Zhongyan Liu, Zejin Wei

Dalian Maritime University, China, People's Republic of

Students willing to study abroad may find it challenging to go through tons of website pages on the application process. The complication of the studying-abroad application process makes it even harder for many students to figure out their dream and fit schools. With artificial intelligence being widely promoted across different subjects and disciplines, we made attempts to incorporate artificial intelligence into education program recommendations. We thus designed a recommendation system for studying-abroad programs through the K-nearest neighbor algorithm. The designed system may recommend up to six colleges and universities to students according to their input of grade average points, language testing scores, acceptable fees, target majors, and location preference. In addition, analysis of the application plan and report on the academic entrance requirements are also offered through the system. The project simplifies the application process and thus saves the time and energy of the applicants.



SELFIE Helper, An Automated Support Chatbot For The SELFIE Platform

Ioannis Kazanidis1, Panagiotis Kanakakis2, George Terzopoulos1, Vasilios Tsoukalas1, Avgoustos Tsinakos1

1AETMA Lab, International Hellenic University, Greece; 2Open Technologies Alliance (GFOSS), Greece

SELFIE (Self-reflection on Effective Learning by Fostering the use of Innovative Educational technologies) is a free tool designed to assist schools in embedding digital technologies into teaching, learning and assessment. However, in many cases, school representatives have questions regarding the registration process. They have to ask SELFIE representatives in each involved country of the project and wait for their response. This approach does not allow them to finish the registration process before they get the answer and causes more work for SELFIE experts per country. SHERPA (SELFIE HElpeR & Pedagogical innovation Assistant) is a two-year Erasmus+ ΚΑ3 project with a mission to enhance innovation in schools by supporting self-assessment. One of the key outputs of the SHERPA project is the SELFIE Helper, a component based on chatbot technology that is responsible for providing automated assistance to schools when registering to the SELFIE platform. This paper presents the architecture of the SELFIE Helper tool and the technologies used for building it. Initial internal evaluation results show that the proposed approach can lead to the development of chatbots that can help users and provide automated support when this is necessary, thus improving processes, such as SELFIE registration.



Towards A Smart Classroom Enabled Sustainability Education: A Conceptual Model

Maria Eftychia Angelaki, Theodoros Karvounidis, Christos Douligeris

University of Piraeus, Greece

This work proposes a conceptual model for integrating education for sustainable development in a smart classroom learning environment. This environment may support the education that enables a more sustainable society for all the students and actively promotes the cultivation of the students’ environmental awareness. The model, which has in its center the students and the teachers, consists of four core components, namely the infrastructure, the sustainability content, the evaluation – feedback and the motivation. Τhe smart classroom is viewed as a kind of system implemented in a school that could realize high learning experiences, high-quality content, and high teaching efficiency, focusing on sustainability. Furthermore, the proposed model implies that the integration of the sustainability educational part needs a holistic approach related to the classroom (educational programme, teaching methods and the infrastructure) instead of adding supplementary topics or themes on sustainability into an existing curriculum or educational projects that a smart classroom may offer.



An Assessment of the Advantages using Smartphone – Based Tele- Audiology and its Effects on Hearing Care Professionals' Willingness for Integration into the Fitting Process

Florian Ross

MATE Hungarian University of Agriculture and Life Sciences

Hearing loss affects the patients´ quality of life far more than commonly known and can end in depression if left untreated. Fitting hearing aids can compensate for the hearing loss and counteract the negative effects. These devices have undergone a remarkable development and can now be connected with the users’ smartphones. This technology enables a variety of options that can improve audiological quality and the relationship between the Hearing Care Professional and the patient. Especially the option of smartphone- based Tele - Audiology, i.e. a video call in which the professional has full access to the hearing aid settings, shows the strong transformation of these technologies. Despite these advantages, this form of customization is only partially used in practice. The paper therefore aims to explore the reasons for this and the preferences that need to be met in order for this form of intervention, to be integrated frequently into the fitting process. For this purpose, a survey was conducted among hearing care professionals in Germany. These results were evaluated and statistically validated. It could be concluded that barriers still exist, mainly due to lack of knowledge about the benefits of this tool, as well as its impact on patient relationships.



 
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