Automated feedback systems are pivotal for scaling personalized learning, especially when dealing with large cohorts of learners. This paper introduces HAROR (Highlighting and Rephrasing Open-ended Responses), a feedback system that utilizes the advanced ...

This study examines the effects of question type and feedback on learning outcomes in a hybrid graduate-level course. By analyzing data from 32 students over 30,198 interactions, we assess the efficacy of unique versus repeated questions and the impact ...

Feedback has the power to support students' development as agentive writers or to reinforce the authority of the teacher. The degree to which feedback is power-affirming---legitimizing students' ideas and positioning students as authors in the writing ...

Large language models (LLMs) can provide formative feedback in programming to help students improve the code they have written. We investigate the use of LLMs (GPT-4) to provide formative code feedback in a sophomore-level computer science (CS) course on ...

Writing utterances to train conversational agents can be a challenging and time-consuming task, and usually requires substantial expertise, meaning that novices face a steep learning curve. We investigated whether novices could be guided to produce ...

Providing timely and personalized feedback to large numbers of students is a long-standing challenge in programming courses. Relying on human teaching assistants (TAs) has been extensively studied, revealing a number of potential shortcomings. These ...

Autograders are programs written to analyze student work from formative assessments and produce both grades and constructive feedback for the benefit of instructors and/or students. Many strategies can be used to develop these programs. This paper ...

In recent years, rapid advancements in computer science, including increased capabilities of machine learning models like Large Language Models (LLMs) and the accessibility of large datasets, have facilitated the widespread adoption of AI ...

This study explores gender dynamics in teacher-student interactions during a route planning task in science classes, examining six classes—three in Year 5 (ages 8–9) and three in Year 6 (ages 10–11) —in an English-medium international school in ...

Advances in AI have opened up the potential for creativity tools to computationally generate design feedback. In a future when designers can request feedback anytime on demand, how would the timing of these requests impact novices’ creative learning ...

Software engineering is concerned with how best to create software in ways that promote sustainable development and maximise quality. We have been largely successful at transferring software engineering knowledge into the industry, however, many ...

Nowadays, learning management systems (LMSs) are established tools in higher education, especially in the domain of software engineering (SE). However, the potential of such educational technologies has not been fully exploited, as student performance in ...

Infoboxes can be useful to quickly learn about the contents of text collections, but manually creating them is error-prone and time-consuming, and existing automatic approaches require training data or resources like ontologies that are not available for ...

Engaging students in the peer review process has been recognized as a valuable educational tool. It not only nurtures a collaborative learning environment where reviewees receive timely and rich feedback but also enhances the reviewer’s critical thinking ...

Learning Analytics Dashboards (LAD) are the subject of research in a multitude of schools and higher education institutions, but a lack of research into learner-facing dashboards in professional learning has been identified. This study took place in an ...

The ever-increasing enrollments in programming courses has driven the need for sophisticated grading tools that can provide students with precise, insightful, and timely feedback. This SIGCSE workshop presents an interactive session on our powerful, open-...

Large language models (LLMs) have shown promise in generating sensible code explanation and feedback in programming exercises. In this experience report, we discuss the process of using one of these models (OpenAI's GPT-4) to generate individualized ...

Computational thinking is gradually being introduced into elementary school curricula, usually accompanied by some form of programming activity. However, even a creative and hands-on activity such as programming Ozobot robots with color codes requires ...

Teaching large cohorts in upper-level computing courses is challenging, as providing rapid feedback and marking at scale is difficult without significant resources. Many institutions lack funds to employ a large number of skilled markers or such markers ...

In this paper, we detail the successful deployment of a machine learning autograder that significantly decreases the grading labor required in the Breakout computer science assignment. This assignment - which tasks students with programming a game ...