Data & Analytics for Instructional Designers

2023-04-11
Data & Analytics for Instructional Designers

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  • Author: Megan Torrance
  • Publisher: Association for Talent Development
  • ISBN: 1953946453
  • Category : Business & Economics
  • Languages : en
  • Pages : 286

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

2019-08-27
Agile for Instructional Designers

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  • Author: Megan Torrance
  • Publisher: Association for Talent Development
  • ISBN: 1949036510
  • Category : Business & Economics
  • Languages : en
  • Pages : 236

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.

Visualizations and Dashboards for Learning Analytics

2021-12-16
Visualizations and Dashboards for Learning Analytics

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  • Author: Muhittin Sahin
  • Publisher: Springer Nature
  • ISBN: 3030812227
  • Category : Education
  • Languages : en
  • Pages : 624

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.

Educational Data Analytics for Teachers and School Leaders

2022-10-28
Educational Data Analytics for Teachers and School Leaders

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  • Author: Sofia Mougiakou
  • Publisher: Springer Nature
  • ISBN: 3031152662
  • Category : Education
  • Languages : en
  • Pages : 249

Educational Data Analytics (EDA) have been attributed with significant benefits for enhancing on-demand personalized educational support of individual learners as well as reflective course (re)design for achieving more authentic teaching, learning and assessment experiences integrated into real work-oriented tasks. This open access textbook is a tutorial for developing, practicing and self-assessing core competences on educational data analytics for digital teaching and learning. It combines theoretical knowledge on core issues related to collecting, analyzing, interpreting and using educational data, including ethics and privacy concerns. The textbook provides questions and teaching materials/ learning activities as quiz tests of multiple types of questions, added after each section, related to the topic studied or the video(s) referenced. These activities reproduce real-life contexts by using a suitable use case scenario (storytelling), encouraging learners to link theory with practice; self-assessed assignments enabling learners to apply their attained knowledge and acquired competences on EDL. By studying this book, you will know where to locate useful educational data in different sources and understand their limitations; know the basics for managing educational data to make them useful; understand relevant methods; and be able to use relevant tools; know the basics for organising, analysing, interpreting and presenting learner-generated data within their learning context, understand relevant learning analytics methods and be able to use relevant learning analytics tools; know the basics for analysing and interpreting educational data to facilitate educational decision making, including course and curricula design, understand relevant teaching analytics methods and be able to use relevant teaching analytics tools; understand issues related with educational data ethics and privacy. This book is intended for school leaders and teachers engaged in blended (using the flipped classroom model) and online (during COVID-19 crisis and beyond) teaching and learning; e-learning professionals (such as, instructional designers and e-tutors) of online and blended courses; instructional technologists; researchers as well as undergraduate and postgraduate university students studying education, educational technology and relevant fields.

Data Analytics for Beginners

2017-07-30
Data Analytics for Beginners

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  • Author: Jonathan S. Walker
  • Publisher: Createspace Independent Publishing Platform
  • ISBN: 9781973962861
  • Category :
  • Languages : en
  • Pages : 86

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.

Learning Analytics

2020
Learning Analytics

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  • Author: Cristina Hall
  • Publisher:
  • ISBN: 9781789663006
  • Category : BUSINESS & ECONOMICS
  • Languages : en
  • Pages : 0

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

Innovative Learning Analytics for Evaluating Instruction

2021-07-19
Innovative Learning Analytics for Evaluating Instruction

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  • Author: Theodore W. Frick
  • Publisher: Routledge
  • ISBN: 1000454770
  • Category : Education
  • Languages : en
  • Pages : 136

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

2017-02-17
Learning Analytics: Fundaments, Applications, and Trends

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  • Author: Alejandro Peña-Ayala
  • Publisher: Springer
  • ISBN: 3319529773
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 303

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.

Interface Design for Learning

2014
Interface Design for Learning

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  • Author: Dorian Peters
  • Publisher: Pearson Education
  • ISBN: 0321903048
  • Category : Computers
  • Languages : en
  • Pages : 273

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.

Methods for Analyzing and Leveraging Online Learning Data

2018-10-05
Methods for Analyzing and Leveraging Online Learning Data

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  • Author: Hai-Jew, Shalin
  • Publisher: IGI Global
  • ISBN: 1522575294
  • Category : Education
  • Languages : en
  • Pages : 436

While online learning continues to be a rapidly expanding field of research, analyzing data allows educational institutions to fine tune their curriculum and teaching methods. Properly utilizing the data, however, becomes difficult when taking into account how socio-technical systems are used, the administration of those systems, default settings, how data is described and captured, and other factors. Methods for Analyzing and Leveraging Online Learning Data is a pivotal reference source that provides vital research on the application of data in online education for improving a system’s capabilities and optimizing it for teaching and learning. This publication explores data handling, cleaning, analysis, management, and representation, as well as the methods of effectively and ethically applying data research. Tying together education and information science with special attention paid to informal learning, online assessment, and social media, this book is ideally designed for educational administrators, system developers, curriculum designers, data analysts, researchers, instructors, and graduate-level students seeking current research on capturing, analyzing, storing, and sharing data-analytic insights regarding online learning environments.