Background and Context: Replication studies play an important role in Computing Education Research (CER) by supporting the development of consistent and reliable scientific knowledge. However, prior research indicates that the CER community tends to prioritise novel contributions over replication. A 2019 Systematic Literature Review (SLR) identified only 54 (2.38%) replication studies among 2,269 papers published between 2009 and 2018 across five major CER venues. In response, the Computer Science Education journal released a special issue dedicated to replication studies to encourage greater adoption of this research design. Objectives: This study aims to examine how the landscape of replication research in CER has evolved since 2019. Specifically, we investigate whether the prevalence of replication studies has increased and explore current perceptions and experiences of CER researchers regarding replication. Method: We replicated two prior studies. First, we conducted an updated SLR to identify replication studies published between 2019 and 2025 in the same five CER venues. Second, we replicated a survey of Computing Education researchers to better understand their perceptions, experiences, and challenges related to conducting and publishing replication studies. Findings: Our SLR identified 63 (2.50%) replication studies among 2,516 published papers. While the proportion of replication studies has increased slightly, overall growth remains limited. We observed a shift toward more published replication studies in journals and an increase in authors replicating their own prior work. Survey results indicate that although many researchers engage in replication within their teaching and research practice, they encounter significant challenges when attempting to publish replication studies. Implications: Despite increased discourse around open science and research rigour, the adoption of replication studies in CER has not substantially grown. Our findings offer opportunities for future research to promote replication in CER and to explore how the CER community can encourage researchers to publish replication studies.

Capstone courses are an integral part of undergraduate and postgraduate degrees in the computing fields. They are designed to help students gain hands-on experience and practice professional skills such as communication, teamwork, and self reflection as they transition into the real world. Prior research on capstone courses has primarily focused on the experiences of the students. The perspectives of instructors who teach these capstone courses has not been explored much. However, an instructor's motivation and expectancy can have a significant effect on a capstone course quality. In this working group, we plan to use a mixed methods approach to understand the experiences of capstone instructors. Issues such as class size, industry partnerships, managing student conflicts, and factors influencing instructor motivation will be examined through a quantitative survey and semi-structured interviews with capstone teaching staff from multiple institutions across multiple continents. This global perspective will be used to develop a guiding framework on the different pedagogical approaches that can be used to enhance engagement and motivation for both staff and students in computing courses.

Students have experienced incredible shifts in the in their learning environments, brought about by the response of universities to the ever-changing public health mandates driven by waves and stages of the coronavirus pandemic (COVID-19). Initially, these shifts in learning (mode of course delivery, course availability, etc.) were considered emergency responses. However, as the pandemic presses on, students have had to repeatedly adapt to the continuously evolving educational landscape as this global health crisis forced an "unprecedented global shift within higher education in the ways that we communicate with and educate students". This working group builds upon foundations and structure created by a 2021 ITICSE Working Group exploring the effects of COVID-19 on teaching and learning from a faculty perspective. That Working Group identified the incorporation of some pandemic-induced changes into future teaching practices. In this Working Group, we explore existing literature regarding the student experience in response to the evolving teaching practices catalyzed by COVID-19). Traditionally, computing is a subject full of experiential learning opportunities, rich with in-person labs and exercises. We explore how the changes within the COVID-affected academic landscape have altered that student experience. The current group of computing students will have had experiences under both typical (i.e. pre-pandemic) and COVID-affected teaching practices. It is, therefore, timely that we understand how each has impacted how they perceive their learning environment and educational experience. In turn, identifying those practices that have most benefited the student learning experience will help computing faculty improve their practices going forward.

Contextualization of problems is widely studied in mathematics education. In computer science it is taken for granted that authentic, contextualized programming assignments will increase student interest and therefore enhance performance in programming assignments. This paper examines whether contextualization is, in fact, beneficial for students. We present a study that compares novice programmers' ability to code a solution given two versions of a problem. One version is contextualized, the other is non-contextualized, using "just the numbers." The results presented indicate that there is no difference in success rates for the two types of programming assignments.