We report the one of the first applications of treatment/control group learning experiments in MOOCs. We have compared the efficacy of deliberate practice-practicing a key procedure repetitively-with traditional practice on "whole problems". Evaluating ...

An important part of learning is interactions with peers, mentors, teaching assistants and the instructor. Discussions and group work allow for interactive learning and deeper understanding of class concepts. Online learning environments struggle to ...

Research suggests that online peer review can provide critical help to learners who would otherwise not be given individualized feedback on their work. However, little is known about how different characteristics of review systems impact reviewers. This ...

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 ...

Along with the advent of MOOCs and other online learning platforms such as Khan Academy, the role of online education has continued to grow in relation to that of traditional on-campus instruction. Rather than tackle the problem of evaluating large ...

Formative writing systems with automated scoring provide opportunities for students to write, receive feedback, and then revise essays in a timely iterative cycle. This paper describes ongoing investigations of a formative writing tool through mining ...

In this paper, we present early research evaluating the predictive power of a variety of temporal features across student subpopulations with distinctive behaviors at the beginning of the course. Initial results illustrate that these features predict ...

This paper argues that improving learning reliably and at scale requires a specific orientation toward measurement, understood broadly. Drawing on examples from a partnership between SRI International and The Carnegie Foundation for the Advancement of ...

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 ...

Online computer adaptive learning is increasingly being used in classrooms as a way to provide guided learning for students. Such tutors have the potential to provide tailored feedback based on specific student needs and misunderstandings. Bayesian ...

Ongoing student feedback on course content and assignments can be valuable for MOOC instructors in the absence of face-to-face-interaction. To collect ongoing feedback and scalably identify valuable suggestions, we built the MOOC Collaborative ...

In this work-in-progress, we present our preliminary findings from an exploratory study on understanding learners' general behavior and perception towards learning with classmates in MOOCs. One-on-one semi-structured interview designed with grounded ...

Economic theory about peers can help learning scientists and designers scale their work from the scale of small classrooms to limitless learning experiences. I propose: 1. We may increase productivity in online learning by changing technologies around ...

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 ...

Student discussions over video in massive classes allow students to explore course content, share personal experiences and get feedback on their ideas. However, such discussions frequently turn into casual conversations without focusing on the ...

In this work, we track the interaction of students across multiple Massive Open Online Courses (MOOCs) on edX. Leveraging the ``burstiness" factor of three of the most commonly exhibited interaction forms made possible by online learning (i.e, video ...

Demographics factors have been used successfully as predictors of student success in traditional higher education systems, but their relationship to achievement in MOOC environments has been largely untested. In this work we explore the predictive power ...

This work investigates whether enrolling in a Massive Open Online Course (MOOC) with friends or colleagues can improve a learner's performance and social interaction during the course. Our results suggest that signing up for a MOOC with peers correlates ...

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 design of learning materials and researching their efficacy involves the application of both theoretical learning principles and ways of working or practices to move towards evidence based improvement. This paper abstracts 4 categories from our on-...