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Adaptive Experimentation is one of the most promising approaches to support complex decision-making in learning experience design and delivery. This paper reports on our experience with a real-world, multi-experimental evaluation of an adaptive ...

Personalized chatbot-based teaching assistants can be crucial in addressing increasing classroom sizes, especially where direct teacher presence is limited. Large language models (LLMs) offer a promising avenue, with increasing research exploring their ...

Self-reflection on learning experiences constitutes a fundamental cognitive process, essential for consolidating knowledge and enhancing learning efficacy. However, traditional methods to facilitate reflection often face challenges in personalization, ...

Exploring alternative ideas by rewriting text is integral to the writing process. State-of-the-art Large Language Models (LLMs) can simplify writing variation generation. However, current interfaces pose challenges for simultaneous consideration of ...

Randomized A/B comparisons of alternative pedagogical strategies or other course improvements could provide useful empirical evidence for instructor decision-making. However, traditional experiments do not provide a straightforward pathway to rapidly ...

Digital mental health (DMH) interventions, such as text-message-based lessons and activities, offer immense potential for accessible mental health support. While these interventions can be effective, real-world experimental testing can further enhance ...

This paper explores the use of A/B testing as a pedagogical tool for iterative design in HCI classrooms and outlines a vision for experiment-inspired design. The traditional focus on the statistical aspects of A/B testing education has meant that the ...

Teachable self-help techniques, such as mindfulness, can reduce anxiety and improve mental well-being outcomes. However, people lack proper awareness of such techniques. In this work, we explore the design space of using online dissemination channels to ...

Digital experiments can be used in CSedu to test hypotheses about interventions and conditions' efficacy (or inefficacy). This workshop will discuss and deconstruct the design process and analysis for various experiments conducted in CS1. E.g., ...

Introducing students to different perspectives and roles in the development process allows them to engage in the work of cross-disciplinary diverse teams and even can enable them to change roles in designer-developer interactions. Industry work often ...

Drawing inspiration from machine learning and experimentation in product development at leading technology companies, we explore how adaptive experimentation might help in continuous course improvement. In adaptive experiments, as different arms/...

In this lightning talk, I reflect on the ongoing rise of software infrastructures for educational experiments and their role in potential shifts in Computer Science Education research. I outline some emerging challenges and opportunities for scientific ...

The introductory agent-based modeling course we are presenting aims to equip second-year sociology students with basic skills which are critical to transforming their research ideas into theories and computational models. Our course follows a general ...

Esports organisations and players rely on revenue model based on spectators attention, which makes player and team brands crucial for their success. In this work, we demonstrate our approach to analyse brand value formation based on computational ...

In this work-in-progress report, we outline the first results from our study of collaboration networks in a two-year Data Science minor for non-STEM students at the Higher School of Economics, St. Petersburg, Russia.

We use social media and WWW data to analyse international educational migration from Russia. We find substantial regional differences in migration patterns for three contrast directions: the Nordic countries, China and the Middle East. We built a model ...

ESports tournaments, such as Dota 2»s The International (TI), attract millions of spectators to watch broadcasts on online streaming platforms, communicate, and share their experience and emotions. Unlike traditional streams, tournament broadcasts lack a ...

The paper presents the preliminary results of the analysis of student learning behavior in a blended undergraduate Data Science course for a heterogenous group of non-STEM students. To identify learning trajectories, a mixture model was applied to ...

Cosmetic items do not provide functional advantages in games, but, nevertheless, they play an important role in the overall player experience. Possessing predominantly socially-constructed dimensions of value, cosmetic items are chosen, discussed, ...

In this paper, we present our current research regarding information interaction strategies of students of minor specialization in Data Science. We employed an online platform, consisted of a third-party and our software, to provide students with means ...