Inglese, Terry
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Terry Inglese
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- PublikationIntroducing case study audio podcasts in business and information systems studies(2023) Jäger, Janine; Korkut, Safak; Inglese, Terry; Schmiedel, Theresa [in: EDULEARN23. Conference proceedings. 15th International Conference on Education and New Learning Technologies, Palma (Spain), 3rd-5th of July, 2023]The paper presents a project of the School of Business of the University of Applied Sciences and Arts Northwestern Switzerland in which the project team is developing case study podcasts together with Swiss-based technology startups to apply them in case-based teaching in Business and Information Systems study programs. The goal of the project is to facilitate students' access to case study contexts by allowing them to listen to podcasts for self-study and develop solutions for practice-oriented business and technology challenges in the classroom and guided group work. This provides an engaging blended learning approach for the students through increased motivation to consume the learning material as well as a deeper connection to the study material, compared to the more commonly applied text-based case studies. This can enable much more productive classroom discussions and group work and could therefore provide improved learning outcomes, such as increased reflection, critical thinking, as well as analytical and problem-solving skills. The paper enriches the blended learning debate with details about the case study podcast production from a content-related, technological and didactical perspective as well as provides insights into the planned evaluation of the application of case study podcasts with regard to learning outcomes.04B - Beitrag Konferenzschrift
- PublikationModeling the instructional design of a language training for professional purposes, using augmented reality(Springer, 2020) Inglese, Terry; Korkut, Safak; Dornberger, Rolf [in: New trends in business information systems and technology]This chapter presents the instructional design of a language-training model for professional and vocational purposes on behalf of the Swiss railway industry, specifically designed for German-speaking train drivers and train operators, who work for the Schweizerische Südostbahn (SOB). In fact, around 50 train drivers and train operators need to learn Italian and be able to communicate clearly and confidently in this language by 2021. Thanks to the opening of the Gotthard Base Tunnel in 2016, some Swiss railway companies are expanding their business portfolios also in the Italian speaking region of Switzerland. Augmented Reality (AR), specifically the Blippar app, is used here as an additional and motivating guide to learning technical terms and nouns, verbs, and dialogue structures, in short: essential railway communication features between train drivers and train operators. The final goal of the chapter is to describe how railway professional trainees, learning a new language, are actively designing their own language learning contents, using AR.04A - Beitrag Sammelband
- PublikationUsing mobile sensing on smartphones for the management of daily life tasks(Springer, 2020) Menon, Dilip; Korkut, Safak; Inglese, Terry; Dornberger, Rolf; Dornberger, Rolf [in: New trends in business information systems and technology. Digital innovation and digital business transformation]Today, all smartphones contain a variety of embedded sensors capable of monitoring and measuring relevant physical qualities and quantities, such as light or noise intensity, rotation and acceleration, magnetic field, humidity, etc. Combining data from these different sensors and deriving new practical information is the way to enhance the capabilities of such sensors, known as sensor fusion or multimodal sensing. However, the authors hypothesize that the sensing technology that is embedded in smartphones may also support daily life task management. Because one of the biggest challenges in mobile sensing on smartphones is the lack of appropriate unified data analysis models and common software toolkits, the authors have developed a prototype for a mobile sensing architecture, called Sensing Things Done (STD). With this prototype, by applying multimodal sensing and gathering sensor data from performing a specific set of tasks, the authors were able to conduct a feasibility study to investigate the hypothesis set above. Having examined to what extent the task-related activities could be detected automatically by using sensors of a standard smartphone, the authors of this chapter describe the conducted study and provide derived recommendations04A - Beitrag Sammelband