Introduction

edX Statistics: In this digital era, online learning has developed into a powerful tool for education and career enhancement. Among many platforms in this regard, edX is a key provider of Massive Open Online Courses (MOOCs). Founded by Harvard University and MIT, edX grew in 2012 and has continued to do so by offering thousands of courses in various fields. In 2024, edX has achieved new milestones in terms of its users, revenue, partnerships, and courses.

This article shall look at the latest edX statistics concerning its influence on learners and the future of education.

This release is comprised of de-identified data from the first year (Academic Year 2013: Fall 2012, Spring 2013, and Summer 2013) of HarvardX courses on the edX platform along with related documentation. These data are aggregate records, and each record represents one individual's activity in one edX course. For more information about the existing analyses of these data and the first year of HarvardX courses, please see the HarvardX and MITx working paper "HarvardX and MITx: The first year of open online courses" by Andrew Ho, Justin Reich, Sergiy Nesterko, Daniel Seaton, Tommy Mullaney, Jim Waldo, and Isaac Chuang (http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2381263). The first release of this dataset is the HarvardX Person-Course Academic Year 2013 De-Identified dataset, version 3.0, created on November 12, 2019. File name: HXPC13_DI_v3_11-13-2019.csv The md5sum for this release (HXPC13_DI_v3_11-13-2019.csv) is: 53419b486c3b19c14d2f06612980f630

The number of monthly active users (MAU) on android devices of the online-course app edX in Mexico amounted to an average of **** thousand between October and November 2020, the highest figure among the Latin American countries analyzed. Brazil followed, with around **** thousand active users. The edX platform was created by Harvard University and MIT, and focuses on higher education courses.

This submission includes publicly available data extracted in its original form. Please reference the Related Publication listed here for source and citation information " Data, geospatial data resources, and the linked mapping tool and web services reflect data for two types of potentially qualifying energy communities: 1) Census tracts and directly adjoining tracts that have had coal mine closures since 1999 or coal-fired electric generating unit retirements since 2009. These census tracts qualify as energy communities. 2) Metropolitan statistical areas (MSAs) and non-metropolitan statistical areas (non-MSAs) that are energy communities for 2023 and 2024, along with their fossil fuel employment (FFE) status. Additional information on energy communities and related tax credits can be accessed on the Interagency Working Group on Coal & Power Plant Communities & Economic Revitalization Energy Communities website (https://energycommunities.gov/energy-community-tax-credit-bonus/). Use limitations: these spatial data and mapping tool may not be relied upon by taxpayers to substantiate a tax return position or for determining whether certain penalties apply and will not be used by the IRS for examination purposes. The mapping tool does not reflect the application of the law to a specific taxpayer’s situation, and the applicable Internal Revenue Code provisions ultimately control. " Quote from https://edx.netl.doe.gov/dataset/ira-energy-community-data-layers>