In this work, we propose and evaluate an active learning algorithm in context of CPSGrader, an automatic grading and feedback generation tool for laboratory-based courses in the area of cyber-physical systems. CPSGrader detects the presence of certain ...

A challenge in introductory and intermediate programming courses is understanding how students approached solving a particular programming problem, in order to provide feedback on how they might improve. In both Massive Open Online Courses (MOOCs) and ...

Designing educational games that meet both learning and entertainment objectives is a challenging task. Games that begin by developing specific educational goals and are later wrapped in a game or narrative context risk appearing forced, while those that ...

The Massive Open Online Course (MOOC) paradigm has developed rapidly and achieved significant attention from a broad range of populations. However, many people who enroll in MOOCs do not have successful learning experiences. For example, some studies ...

We present results from a pilot study where students successfully created complex assessments for a MOOC in introductory electronics -- an area with a very large expert-novice gap. Previous work in learnersourcing found that learners can productively ...

An efficient peer grading mechanism is proposed for grading the multitude of assignments in online courses. This novel approach is based on game theory and mechanism design. A set of assumptions and a mathematical model is ratified to simulate the ...

Nowadays, many universities utilize groupware support for students to post and share their e-reports, and the students can browse and vote other students' reports in e-learning. Teachers then need to evaluate all students' reports, but this will require ...

While large-scale automatic grading of student programs for correctness is widespread, less effort has focused on automating feedback for good programming style:} the tasteful use of language features and idioms to produce code that is not only correct, ...

In order to learn the impact of MOOCs, we conducted a SPOC experiment on the course of Data Structures and Algorithms in Peking University. In this paper, we analyze student online activities, test scores, and two surveys using statistical methods (t-...

The study of Operating Systems and Systems Programming provides invaluable software engineering experience and crucial conceptual understanding that make it an essential component of an undergraduate computer science curriculum. It is also imperative ...

Automatic assessment reduces the need for individual feedback in massive courses, but often focuses only on scoring solutions, rather than assessing whether students correctly understand problems. We present an enriched approach to automatic assessment ...

This study investigates chat room data from a massive open online course (MOOC) that has been organized several times since January 2012. What makes the organization unique is that the chat room has always remained the same, allowing past participants ...

Rapid feedback is a core component of mastery learning, but feedback on open-ended work requires days or weeks in most classes today. This paper introduces PeerStudio, an assessment platform that leverages the large number of students' peers in online ...

It is our great pleasure to welcome you to ACM conference Learning at Scale 2015. In this, the second year of the conference, we have seen a significant growth in the number of submissions to the conference and an overall improvement in the quality of ...