EdOptimize–An Open-Source K-12 Learning Analytics Platform

Tirth Shah; Nirmal Patel; J.D. Lomas; Aditya Sharma

EdOptimize–An Open-Source K-12 Learning Analytics Platform

Tirth Shah, Nirmal Patel, J.D. Lomas, Aditya Sharma

Design Aesthetics

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Abstract

Technology aided learning is becoming increasingly popular. In some of the countries, online learning has taken over for traditional classroom-based learning. With this, educational data is being generated in vast amounts. Knowing the potential of this data, many education stakeholders have turned to evidence-based decision making to improve the learning outcomes of the students. EdOptimize platform provides extensive actionable insights for a range of stakeholders through a suite of 3 data dashboards, each one intended for a certain type of stakeholder. We have designed a conceptual model and data architecture that can generalize across many different edtech implementation scenarios. Our source code
is available at https://github.com/PlaypowerLabs/EdOptimize

Original language	English
Title of host publication	Proceedings of the 12th International Conference on Learning Analytics & Knowledge (LAK22)
Pages	63
Number of pages	1
ISBN (Electronic)	978-1-4503-9573-1
Publication status	Published - 2022
Event	LAK 2022 : 12th International Learning Analytics & Knowledge Conference (LAK22) Online - , United States Duration: 1 Mar 2022 → 25 Mar 2023

Conference

Conference	LAK 2022 : 12th International Learning Analytics & Knowledge Conference (LAK22) Online
Country/Territory	United States
Period	1/03/22 → 25/03/23

Keywords

earning analytics
digital learning
ashboards
assessment data
curriculum- analytics
platform-analytics
implementation-analytics

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Pagina's van LAK22_CompanionProceedings-2Final published version, 85 KBLicence: CC BY-NC-ND

https://web.archive.org/web/20220527012916id_/https://www.zora.uzh.ch/id/eprint/218604/1/LAK22_CompanionProceedings.pdf#page=75Licence: CC BY-NC-ND

Cite this

@inproceedings{afe0da55465d466bb3d74df99e27a8e9,

title = "EdOptimize–An Open-Source K-12 Learning Analytics Platform",

abstract = "Technology aided learning is becoming increasingly popular. In some of the countries, online learning has taken over for traditional classroom-based learning. With this, educational data is being generated in vast amounts. Knowing the potential of this data, many education stakeholders have turned to evidence-based decision making to improve the learning outcomes of the students. EdOptimize platform provides extensive actionable insights for a range of stakeholders through a suite of 3 data dashboards, each one intended for a certain type of stakeholder. We have designed a conceptual model and data architecture that can generalize across many different edtech implementation scenarios. Our source codeis available at https://github.com/PlaypowerLabs/EdOptimize ",

keywords = "earning analytics, digital learning, ashboards, assessment data, curriculum- analytics, platform-analytics, implementation-analytics",

author = "Tirth Shah and Nirmal Patel and J.D. Lomas and Aditya Sharma",

year = "2022",

language = "English",

pages = "63",

booktitle = "Proceedings of the 12th International Conference on Learning Analytics & Knowledge (LAK22)",

note = "LAK 2022 : 12th International Learning Analytics & Knowledge Conference (LAK22) Online ; Conference date: 01-03-2022 Through 25-03-2023",

}

Shah, T, Patel, N, Lomas, JD & Sharma, A 2022, EdOptimize–An Open-Source K-12 Learning Analytics Platform. in Proceedings of the 12th International Conference on Learning Analytics & Knowledge (LAK22). pp. 63, LAK 2022 : 12th International Learning Analytics & Knowledge Conference (LAK22) Online, United States, 1/03/22. <https://web.archive.org/web/20220527012916id_/https://www.zora.uzh.ch/id/eprint/218604/1/LAK22_CompanionProceedings.pdf#page=75>

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AU - Sharma, Aditya

PY - 2022

Y1 - 2022

N2 - Technology aided learning is becoming increasingly popular. In some of the countries, online learning has taken over for traditional classroom-based learning. With this, educational data is being generated in vast amounts. Knowing the potential of this data, many education stakeholders have turned to evidence-based decision making to improve the learning outcomes of the students. EdOptimize platform provides extensive actionable insights for a range of stakeholders through a suite of 3 data dashboards, each one intended for a certain type of stakeholder. We have designed a conceptual model and data architecture that can generalize across many different edtech implementation scenarios. Our source codeis available at https://github.com/PlaypowerLabs/EdOptimize

AB - Technology aided learning is becoming increasingly popular. In some of the countries, online learning has taken over for traditional classroom-based learning. With this, educational data is being generated in vast amounts. Knowing the potential of this data, many education stakeholders have turned to evidence-based decision making to improve the learning outcomes of the students. EdOptimize platform provides extensive actionable insights for a range of stakeholders through a suite of 3 data dashboards, each one intended for a certain type of stakeholder. We have designed a conceptual model and data architecture that can generalize across many different edtech implementation scenarios. Our source codeis available at https://github.com/PlaypowerLabs/EdOptimize

KW - earning analytics

KW - digital learning

KW - ashboards

KW - assessment data

KW - curriculum- analytics

KW - platform-analytics

KW - implementation-analytics

M3 - Conference contribution

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BT - Proceedings of the 12th International Conference on Learning Analytics & Knowledge (LAK22)

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Y2 - 1 March 2022 through 25 March 2023

ER -

EdOptimize–An Open-Source K-12 Learning Analytics Platform

Abstract

Conference

Keywords

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