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Open AccessProceedings ArticleDOI

Learning is Not a Spectator Sport: Doing is Better than Watching for Learning from a MOOC

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TLDR
It is found that students doing more activities learn more than students watching more videos or reading more pages in MOOCs, and the learning benefit from extra doing is estimated to be more than six times that of extra watching or reading.
Abstract
The printing press long ago and the computer today have made widespread access to information possible. Learning theorists have suggested, however, that mere information is a poor way to learn. Instead, more effective learning comes through doing. While the most popularized element of today's MOOCs are the video lectures, many MOOCs also include interactive activities that can afford learning by doing. This paper explores the learning benefits of the use of informational assets (e.g., videos and text) in MOOCs, versus the learning by doing opportunities that interactive activities provide. We find that students doing more activities learn more than students watching more videos or reading more pages. We estimate the learning benefit from extra doing (1 SD increase) to be more than six times that of extra watching or reading. Our data, from a psychology MOOC, is correlational in character, however we employ causal inference mechanisms to lend support for the claim that the associations we find are causal.

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Journal ArticleDOI

Self-regulated learning strategies predict learner behavior and goal attainment in Massive Open Online Courses

TL;DR: It was found that goal setting and strategic planning predicted attainment of personal course goals, while help seeking was associated with lower goal attainment, and several learner characteristics, including demographics and motivation, predicted learners' SRL skills.
Proceedings ArticleDOI

MOOC dropout prediction using machine learning techniques: Review and research challenges

TL;DR: An overview of the MOOC student dropout prediction phenomenon where machine learning techniques have been utilized is provided, some solutions being used to tackle with dropout problem are highlighted, an analysis about the challenges of prediction models are provided, and some valuable insights and recommendations are proposed.
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How do we model learning at scale?: A systematic review of research on MOOCs

TL;DR: In this article, the authors present a systematic literature review of approaches to model learning in Massive Open Online Courses offering an analysis of learning-related constructs used in the prediction and measurement of student engagement and learning outcome.
Proceedings Article

Investigating How Student's Cognitive Behavior in MOOC Discussion Forums Affect Learning Gains.

TL;DR: A content analysis approach is adopted to analyze students’ cognitively relevant behaviors in a MOOC discussion forum and further explore the relationship between the quantity and quality of that participation with their learning gains.
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Student success prediction in MOOCs

TL;DR: In this paper, the state of the art in predictive models of student success in MOOCs and present a categorization of MOOC research according to the predictors (features), prediction (outcomes), and underlying theoretical model.
References
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Journal ArticleDOI

Cognitive Apprenticeship: Teaching the Craft of Reading, Writing and Mathematics

TL;DR: This paper proposes the development of a new cognitive apprenticeship to teach students the thinking and problem-solving skills involved in school subjects such as reading, writing and mathematics.
Book ChapterDOI

Cognitive Apprenticeship: Teaching the Crafts of Reading, Writing, and Mathematics

TL;DR: In this paper, the authors propose a new cognitive apprenticeship to teach students the thinking and problem-solving skills involved in school subjects such as reading, writing, and mathematics, where students can observe, enact, and practice them with help from the teacher and from other students.
Journal ArticleDOI

Design-Based Research: Putting a Stake in the Ground

TL;DR: Barab et al. as discussed by the authors argue that learning, cognition, knowing, and context are irreducibly co-constituted and cannot be treated as isolated entities or processes.
Journal ArticleDOI

Cognitive Tutors: Lessons Learned

TL;DR: The 10-year history of tutor development based on the advanced computer tutoring (ACT) theory is reviewed, finding that a new system for developing and deploying tutors is being built to achieve the National Council of Teachers of Mathematics (NCTM) standards for high-school mathematics in an urban setting.

Learning by doing

TL;DR: In this paper, the authors propose to help students develop some skills during those contact hours by giving them some practice in the tasks they’ll later be asked to perform on assignments and tests.
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