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Massachusetts Institute of Technology

Explaining Concepts through Labs that Present Real-World Scenarios in an Introductory Computer Science MOOC

Abstract

dc:description.abstract

Massive Online Open Courses (MOOCs) such as those hosted on edX have the ability to reach thousands of students all over the world. Typically, they consist of a combination of lectures, graded assignments, and tests and are generally less interactive than the typical in person course. We believe that the interactive aspect of in person courses add a lot of value to the class and can and therefore should be added to MOOCs. Adding additional ungraded exercises that are fun, interactive, engaging, and present real-world scenarios can allow students to further explore concepts otherwise only taught through lectures. Additionally, by connecting these concepts to real-world scenarios they are already familiar with, students may be better able to think intuitively about the concepts and the related code. In this thesis we present a set of labs that will hopefully provide these benefits in the edX course 6.00.1x (Introduction to Computer Science and Programming Using Python).

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Yang, Yilinn
Advisor dc:contributor.advisor
  • Bell, Ana

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright retained by author(s)

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/151415
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/151415

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Yang, Yilinn. Explaining Concepts through Labs that Present Real-World Scenarios in an Introductory Computer Science MOOC. Massachusetts Institute of Technology, 2023. https://hdl.handle.net/1721.1/151415