Tools

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010 a| 2022949753;

015 a| GBC3636532| bnb;

016 7 a| 0210070642| Uk;

020 a| 1953946445;

020 a| 9781953946447;

035 a| (WaSeSS)ssj0002965952;

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049 a| EREEa| NEHH;

050 00 a| LB1028.38b| .T675 2023;

082 04 a| 371.302852| 23;

100 1 a| Torrance, Megan.?| UNAUTHORIZED;

245 10 a| Data & analytics for instructional designersh| [electronic resource] /c| Megan Torrance.;

246 3 a| Data and analytics for instructional designers;

260 a| Alexandria, VA :b| ATD Press,c| [2023];

300 a| xii, 227 pages :b| illustrations ;c| 23 cm;

504 a| Includes bibliographical references and index.;

505 0 a| Introduction -- Part 1. The Foundations. Why should instructional designers care? -- Getting started with definitions -- Data specifications in workplace learning -- Unique learning metrics -- A little bit of statistics -- Part 2. Designing for Data. A framework for using workplace learning data -- Make a plan for gathering and using data -- Form your hypothesis and specify data needs -- Identify data sources -- Build in data capture -- Store the data -- Iterate on the data and the analysis -- Communicate and visualize the data -- Build scale and maturity.;

506 a| Available only to authorized users.;

520 a| "With the advance of new learning technologies and data specifications, instructional designers have access to more and richer data sources than ever before but don't often have the skills necessary to extract and apply the data. Data and analytics pro Megan Torrance delves into the foundational concepts that enable instructional designers and L&D professionals to use data in their roles. Split into two parts, the book first defines key data and analytics terms, data specifications, learning metrics, and statistical concepts. It then lays out a framework for using learning data--starting with planning how to gather data and ending with building scale and maturity in your data operatins."--Description from page 4 of cover.;

538 a| Mode of access: World Wide Web;

650 0 a| Instructional systemsx| Designx| Data processing.=| ^A160177;

650 6 a| Design pédagogiquex| Informatique.;

650 7 a| Instructional systemsx| Designx| Data processing2| fast;

655 0 a| Electronic books.=| ^A491897;

856 40 z| Full text available from Ebook Central - Academic Completeu| https://ebookcentral.proquest.com/lib/eastcarolina/detail.action?docID=7189075;

947 a| (OCoLC)on1348285162;

949 a| CLICK ON WEB ADDRESSw| ASISh| JOYNER188;

949 a| CLICK ON WEB ADDRESSw| ASISh| HSL77;

949 a| CLICK ON WEB ADDRESSw| ASISh| JMUSIC60;

596 a| 1 3 4;

998 a| 6455312;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6455312-1001l| JNETm| JOYNERr| Ys| Yt| JNESSBKu| 7/20/2024x| EBOOKz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6455312-2001l| HSLELECm| HSLr| Ys| Yt| HEBKu| 7/20/2024x| EBOOKz| HERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6455312-3001l| MNETm| JMUSICr| Ys| Yt| MNESSBKu| 7/20/2024x| EBOOKz| JERESOURCE;

Data & analytics for instructional designers / Megan Torrance.

Author/creator	Torrance, Megan
Format	Electronic
Publication Info	Alexandria, VA : ATD Press, [2023]
Description	xii, 227 pages : illustrations ; 23 cm
Supplemental Content	Full text available from Ebook Central - Academic Complete
Subjects	Instructional systems--Design. --Data processing. Design pédagogique--Informatique.

Variant title	Data and analytics for instructional designers
Contents	Introduction -- Part 1. The Foundations. Why should instructional designers care? -- Getting started with definitions -- Data specifications in workplace learning -- Unique learning metrics -- A little bit of statistics -- Part 2. Designing for Data. A framework for using workplace learning data -- Make a plan for gathering and using data -- Form your hypothesis and specify data needs -- Identify data sources -- Build in data capture -- Store the data -- Iterate on the data and the analysis -- Communicate and visualize the data -- Build scale and maturity.
Abstract	"With the advance of new learning technologies and data specifications, instructional designers have access to more and richer data sources than ever before but don't often have the skills necessary to extract and apply the data. Data and analytics pro Megan Torrance delves into the foundational concepts that enable instructional designers and L&D professionals to use data in their roles. Split into two parts, the book first defines key data and analytics terms, data specifications, learning metrics, and statistical concepts. It then lays out a framework for using learning data--starting with planning how to gather data and ending with building scale and maturity in your data operatins."--Description from page 4 of cover.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2022949753
ISBN	1953946445
ISBN	9781953946447

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