To benefit from the social capabilities of a robot math tutor, instead of being distracted by them, a novel approach is needed where the math task and the robot's social behaviors are better intertwined. We present concrete design specifications of how children can practice math via a personal conversation with a social robot and how the robot can scaffold instructions. We evaluated the designs with a three-session experimental user study (n = 130, 8-11 y.o.). Participants got better at math over time when the robot scaffolded instructions. Furthermore, the robot felt more as a friend when it personalized the conversation.
MULTIFILE
Maintaining the child-robot relationship after a significant break, such as a holiday, is an important step for developing sustainable social robots for education. We ran a four-session user study (n = 113 children) that included a nine-month break between the third and fourth session. During the study, participants practiced math with the help of a social robot math tutor. We found that social personalization is an effective strategy to better sustain the child-robot relationship than the absence of social personalization. To become reacquainted after the long break, the robot summarizes a few pieces of information it had stored about the child. This gives children a feeling of being remembered, which is a key contributor to the effectiveness of social personalization. Enabling the robot to refer to information previously shared by the child is another key contributor to social personalization. Conditional for its effectiveness, however, is that children notice these memory references. Finally, although we found that children's interest in the tutoring content is related to relationship formation, personalizing the topics did not lead to more interest in the content. It seems likely that not all of the memory information that was used to personalize the content was up-to-date or socially relevant.
MULTIFILE
Over the past few decades, education systems, especially in higher education, have been redefined. Such reforms inevitably require reconsideration of operational notions and definitions of quality, along with a number of related concepts. This reconsideration aligns with the core of higher education reforms: improving efficacy and compatibility with emerging social demands while adapting to competitiveness and accountability trends. As primary players in the teaching and learning process, online tutors have a protagonistic role and, therefore, must be equipped with a suitable set of competencies and attributes in addition to content knowledge. This quantitative research aims to analyze the perceptions of 250 online tutors working in European higher education institutions, distributed in 5 knowledge areas: Business, Education, Humanities, Sciences and Health. This descriptive and exploratory nonexperimental study reveals the technological and pedagogical skills and competencies that online tutors consider fundamental for effective online teaching and proposes professional development actions to ensure quality online teaching.
