We present a reproducible pipeline that aligns CS1 textbook sections with problems from a public dataset via a Knowledge Component (KC) -a single conceptual skill required for problem solving- ontology. It assigns KCs to sections and problems, respects the prerequisite order to avoid inserting problems too early, and generates tips for not-yet-taught concepts. We evaluate three KC assignment strategies: embedding-only, embedding with a Large Language Model (LLM) tie-breaker, and direct LLM assignment. We find direct assignment matches or exceeds human annotators. Our results show that constrained LLMs can enrich CS1 textbooks with curriculum-aware practice problems.

This paper aims to understand the educational settings of children with autism (CWA) in the specialized schools of Bangladesh from their parents' perspective. Sparse research in the same context to understand teachers' perceptions has been found. Though parents and teachers are an integral part of these children's educational experience, limited research has been conducted to deeply understand and facilitate parent-teacher relationships to offer CWA an improved learning experience in Bangladesh. Our in-depth qualitative study on urban parents (N=10) showed current challenges and opportunities relating to the schools designed for CWA. The work takes a closer look at the existing concerns and confirms that parent-teacher communication in autism schools here is a complex one because of other interferences (e.g., social, and familial stigma, lack of transparency from administrators, insufficient qualified teachers) as felt by the parents. Nevertheless, the remarkable coverage of cellular networks and increasing usage of mobile phones in Bangladesh places us in a unique position to expect positive changes by employing ICT, which we believe will open avenues for future researchers and guide them in implementing robust technology to support an improved learning environment for the CWA and their families.

A large body of research has underscored the importance of the cognitive process of team cognition and its relation to team performance. However, little research has focused on applying such an important teamwork process to computer-mediated collaboration within a fast-paced virtual environment. In this paper, we use esports as a research platform to address this limitation due to its fast-paced nature and its heavy reliance on teamwork. We report the experience and perceptions of 20 players with regard to their descriptions of team cognition within esports. We found that esports players relied on their game experience and understanding of role interdependencies in order to develop team cognition with strangers. We also found that experienced teams utilized a mutual understanding of teammate skills and personalities in order to predict responses and limit the verbal communication required to make quick team decisions. We contribute to CSCW by extending the cognitive understanding of computer-mediated collaboration and by advancing research on team cognition and how it can occur within a fast-paced virtual environment.