Data & Analytics for Instructional Designers
Data & Analytics for Instructional Designers

Author: Megan Torrance

Publisher: Association for Talent Development

Published: 2023-04-11

Total Pages: 286

ISBN-13: 1953946453

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Add Data and Analytics to Your TD Toolkit Instructional design pro Megan Torrance addresses the importance of instructional designers accessing and applying learning and performance data—from how to design learning experiences with data collection in mind to how to use the data to improve and evaluate those experiences. With the advance of new learning technologies and data specifications, instructional designers have access to more and richer data sources than ever before. With that comes the question of what to do with the data. While most data and analytics books focus on their application for measurement and evaluation and assume a prior baseline understanding of what learning data and analytics mean, Data and Analytics for Instructional Designers delves into the foundational concepts that will 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 for planning how to gather data and to building scale and maturity in your data operations. Megan reassures readers that basic math skills with some computer assistance is what you’ll need to get going. So set aside any math anxiety! Through a “If I can see it, I can be it” approach to learning data and analytics, the book blends practical what-is and how-to content with real-world examples and longer case studies from practitioners. Chapters conclude with opportunities for you to put these techniques to work right away, whether you are in a data-rich environment already, or whether you are just getting started and working on hypotheticals.

Agile for Instructional Designers
Agile for Instructional Designers

Author: Megan Torrance

Publisher: Association for Talent Development

Published: 2019-08-27

Total Pages: 237

ISBN-13: 1949036510

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Discover Agile for Better Instructional Design To serve business needs amid greater volatility and uncertainty in the workplace, learning and development professionals need project management methods that can keep up. Enter Agile. Popular in the software development space as an approach to project management, Agile when applied to instructional design provides a framework for adapting to change as it happens and for delivering the content most needed by learners. Agile for Instructional Designers proposes using Agile methodology to manage training projects and highlights where traditional linear processes have failed the business and the end users. Recognizing that software development and instructional design have different needs and outcomes, author Megan Torrance developed the LLAMATM methodology. Her approach adapts the common phases of ADDIE to incorporate the incremental, iterative nature of Agile projects. It allows learners to test and evaluate which features or design functions work before they’re finalized. It also offers a way to accommodate inevitable mid-project modifications pushed by stakeholders, subject matter experts, or organizational leaders. With templates for goal alignment, learner personas, scope definition, estimating, planning, and iterative development, Agile for Instructional Designers is the resource you need to embrace change in learning and development.

Task Analysis Methods for Instructional Design
Task Analysis Methods for Instructional Design

Author: David H. Jonassen

Publisher: Routledge

Published: 1998-10-01

Total Pages: 364

ISBN-13: 1135674817

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Task Analysis Methods for Instructional Design is a handbook of task analysis and knowledge elicitation methods that can be used for designing direct instruction, performance support, and learner-centered learning environments. To design any kind of instruction, it is necessary to articulate a model of how learners should think and perform. This book provides descriptions and examples of five different kinds of task analysis methods: *job/behavioral analysis; *learning analysis; *cognitive task analysis; *activity-based analysis methods; and *subject matter analysis. Chapters follow a standard format making them useful for reference, instruction, or performance support.

Learning Analytics
Learning Analytics

Author: Cristina Hall

Publisher:

Published: 2020

Total Pages: 0

ISBN-13: 9781789663006

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Utilize organizational data and analytics to make better decisions about managing the learning and development of your workforce.

Visualizations and Dashboards for Learning Analytics
Visualizations and Dashboards for Learning Analytics

Author: Muhittin Sahin

Publisher: Springer Nature

Published: 2021-12-16

Total Pages: 624

ISBN-13: 3030812227

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This edited volume fills the gaps in existing literature on visualization and dashboard design for learning analytics. To do so, it presents critical tips to stakeholders and acts as guide to efficient implementation. The book covers the following topics: visualization and dashboard design for learning analytics, visualization and dashboard preferences of stakeholders, learners’ patterns on the dashboard, usability of visualization techniques and the dashboard, dashboard and intervention design, learning and instructional design for learning analytics, privacy and security issues about the dashboard, and future directions of visualization and dashboard design. This book will be of interest to researchers with interest in learning analytics and data analytics, teachers and students in higher education institutions and instructional designers, as it includes contributions from a wide variety of educational and psychological researchers, engineers, instructional designers, learning scientists, and computer scientists interested in learning analytics.

Radical Solutions and Learning Analytics
Radical Solutions and Learning Analytics

Author: Daniel Burgos

Publisher: Springer Nature

Published: 2020-05-08

Total Pages: 233

ISBN-13: 981154526X

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Learning Analytics become the key for Personalised Learning and Teaching thanks to the storage, categorisation and smart retrieval of Big Data. Thousands of user data can be tracked online via Learning Management Systems, instant messaging channels, social networks and other ways of communication. Always with the explicit authorisation from the end user, being a student, a teacher, a manager or a persona in a different role, an instructional designer can design a way to produce a practical dashboard that helps him improve that very user’s performance, interaction, motivation or just grading. This book provides a thorough approach on how education, as such, from teaching to learning through management, is improved by a smart analysis of available data, making visible and useful behaviours, predictions and patterns that are hinder to the regular eye without the process of massive data.

Innovative Learning Analytics for Evaluating Instruction
Innovative Learning Analytics for Evaluating Instruction

Author: Theodore W. Frick

Publisher: Routledge

Published: 2021-07-19

Total Pages: 136

ISBN-13: 1000454770

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Innovative Learning Analytics for Evaluating Instruction covers the application of a forward-thinking research methodology that uses big data to evaluate the effectiveness of online instruction. Analysis of Patterns in Time (APT) is a practical analytic approach that finds meaningful patterns in massive data sets, capturing temporal maps of students’ learning journeys by combining qualitative and quantitative methods. Offering conceptual and research overviews, design principles, historical examples, and more, this book demonstrates how APT can yield strong, easily generalizable empirical evidence through big data; help students succeed in their learning journeys; and document the extraordinary effectiveness of First Principles of Instruction. It is an ideal resource for faculty and professionals in instructional design, learning engineering, online learning, program evaluation, and research methods.

Learning Analytics: Fundaments, Applications, and Trends
Learning Analytics: Fundaments, Applications, and Trends

Author: Alejandro Peña-Ayala

Publisher: Springer

Published: 2017-02-17

Total Pages: 310

ISBN-13: 3319529773

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This book provides a conceptual and empirical perspective on learning analytics, its goal being to disseminate the core concepts, research, and outcomes of this emergent field. Divided into nine chapters, it offers reviews oriented on selected topics, recent advances, and innovative applications. It presents the broad learning analytics landscape and in-depth studies on higher education, adaptive assessment, teaching and learning. In addition, it discusses valuable approaches to coping with personalization and huge data, as well as conceptual topics and specialized applications that have shaped the current state of the art. By identifying fundamentals, highlighting applications, and pointing out current trends, the book offers an essential overview of learning analytics to enhance learning achievement in diverse educational settings. As such, it represents a valuable resource for researchers, practitioners, and students interested in updating their knowledge and finding inspirations for their future work.

Data Analytics for Beginners
Data Analytics for Beginners

Author: Jonathan S. Walker

Publisher: Createspace Independent Publishing Platform

Published: 2017-07-30

Total Pages: 86

ISBN-13: 9781973962861

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Have you ever been asked to analyze data in your job but not understood what you were doing?Now is the time to change that! In this book, you are going to learn - The risks of data analysis - The benefits of data analysis - Terms you are going to useAnd so much more. So, now is the time to dive in and begin to advance your knowledge of data and how you are going to use it. In the end, you are going to be able to use it to be more efficient in your job.

Interface Design for Learning
Interface Design for Learning

Author: Dorian Peters

Publisher: Pearson Education

Published: 2014

Total Pages: 273

ISBN-13: 0321903048

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In offices, colleges, and living rooms across the globe, learners of all ages are logging into virtual laboratories, online classrooms, and 3D worlds. Kids from kindergarten to high school are honing math and literacy skills on their phones and iPads. If that weren't enough, people worldwide are aggregating internet services (from social networks to media content) to learn from each other in "Personal Learning Environments." Strange as it sounds, the future of education is now as much in the hands of digital designers and programmers as it is in the hands of teachers. And yet, as interface designers, how much do we really know about how people learn? How does interface design actually impact learning? And how do we design environments that support both the cognitive and emotional sides of learning experiences? The answers have been hidden away in the research on education, psychology, and human computer interaction, until now. Packed with over 100 evidence-based strategies, in this book you'll learn how to: Design educational games, apps, and multimedia interfaces in ways that enhance learning Support creativity, problem-solving, and collaboration through interface design Design effective visual layouts, navigation, and multimedia for online and mobile learning Improve educational outcomes through interface design.