Browsing by Author "Rodriguez, Maria Fernanda"
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- ItemNew Paths in Small Manufacturing: How is Digital Transformation Shaping Collaboration Between Designers and Craftspeople?(2023) Gerea, Carmen; Herskovic, Valeria; Rodriguez, Maria Fernanda; Cajamarca, Gabriela; Gajardo, RodrigoCollaboration between designers and craftspeople, or designers and small manufacturers, is a strategy aiming to revive the local manufacturing industry in countries impacted by post-industrial economic challenges. In this paper we examine a local initiative-a community of practice (CoP) composed of designers and craftspeople-by studying how they have used technology to collaborate, in order to identify opportunities for long-term growth of this community. To gain a deep understanding of the dynamics in the community, the collaboration process during the workshop and after it, we used a three-phase qualitative research strategy. We conducted interviews with the participants and staff, analyzed an 11-month period of communications in the WhatsApp group and, finally, conducted a co-design session. We identify opportunities and challenges related to the design and implementation of a personalized collaborative system that fulfills the needs of the users as individuals and community members.
- ItemTeacher Adoption of a Hybrid Learning Model in Vulnerable Secondary Schools(2022) Barahona, Camila; Lippi, Luis; Rodriguez, Maria Fernanda; Astudillo, Gabriel; Hilliger Carrasco, Isabel
- ItemUsing Automated Planning to Provide Feedback during Collaborative Problem-Solving(2023) Rojas, Matias; Saez, Cristian; Baier, Jorge; Nussbaum, Miguel; Guerrero, Orlando; Rodriguez, Maria FernandaCollaborative Problem-Solving Skills (CPS) have become increasingly important. Research into the development of CPS is still scarce, but there are several approaches that may be useful for its development. Specifically, providing feedback in collaborative contexts is key. In this paper, we study and develop a feedback system that uses Automated Planning techniques to promote communication among students. Our system is designed to be used in a real-world educational setting, considering the underpinning theory of when and how to give feedback. The system's frontend is a video game, which presents tasks that can only be solved when students collaborate. In the backend, the system computes the solution to the task in a partial-order plan using an automated planning engine. While it monitors the plan and provides feedback to students. We describe an experimental study involving 42 students aged between 10 and 13, in which we explore the effectiveness of the feedback that was given. We show that the feedback allowed the students to perform better in the game, improve their communication, and develop their collaborative problem-solving skills. We also describe a novel approach to monitoring multi-agent partial-order plans, specifically designed for plans with so-called independent chains, that is more efficient than previous approaches and therefore requires fewer computational resources in the classroom. This paper contributes to the literature in two ways. First, we propose a novel monitoring algorithm for partial-order plans that is better suited to educational settings. Second, we show that feedback extracted from a plan can promote reflection about collaborative problem-solving during a multi-agent activity.