LECTOR: Towards reengaging students in the educational process inside smart classrooms

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Abstract

This paper presents LECTOR, a system that helps educators in understanding when students have stopped paying attention to the educational process and assists them in reengaging the students to the current learning activity. LECTOR aims to take advantage of the ambient facilities that “smart classrooms” have to offer by (i) enabling educators to employ their preferred attention monitoring strategies (including any well-established activity recognition techniques) in order to identify inattentive behaviors and (ii) recommending interventions for motivating distracted students when deemed necessary. Furthermore, LECTOR offers an educator friendly design studio that enables teachers to create or modify the rules that trigger “inattention alarms”, as well as tailor the intervention mechanism to the needs of their course by modifying the respective rules. This paper presents the rationale behind the design of LECTOR and outlines its key features and facilities.

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APA

Korozi, M., Leonidis, A., Antona, M., & Stephanidis, C. (2017). LECTOR: Towards reengaging students in the educational process inside smart classrooms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10688 LNCS, pp. 137–149). Springer Verlag. https://doi.org/10.1007/978-3-319-72038-8_11

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