Designing Personalized Learning Experiences: A Framework for Higher Education and Workforce Training

Description

Designing Personalized Learning Experiences offers theoretically grounded and pragmatic approaches to designing personalized learning initiatives for higher education and organizational contexts. With current research concluding that a multitude of variables can enable learners to direct their own experiences and achieve their goals, new guidance is needed to hone the range of instructional approaches, activities, and interactions available to support adult learners. This book offers practical strategies on how to design and implement effective personalized learning interventions, advance learning and engagement, encourage ownership over the learning process, and decrease attrition. Professionals in instructional design, learning and development, organizational development, consultancies, and beyond will be emboldened by the work to leverage a mix of technology-enabled social and content interactions. Cover Half Title Title Page Copyright Page Contents Preface References 1. The History of Personalized Learning Personalized Learning Through Learner-Centered Teaching Strategies Personalized Learning with The First "Intelligent Machines" A Continuum of Personalized Learning The Role or Influence of Technology in Personalized Learning The Importance of Lifelong Learning and the Role of Learner Agency References 2. Approaches to Personalized Learning Overview of Personalized Learning Approaches Efforts to Define Personalized Learning Definition of PL from Higher Education Research on Systems-Based Personalization Systems-Based Personalized Learning in K-12 Systems-Based Personalized Learning in Higher Education Systems-Based Personalization in Workforce Training and Development Programs Research on Learner-Based Personalization Learner-Based Personalization in K-12 Contexts Learner-Based Personalization in Higher Education Contexts Learner-Based Personalization in Workforce Training and Development Contexts Research on Blended Personalized Learning Blended Personalized Learning in K-12 contexts Blended Personalized Learning in Higher Education Blended Personalized Learning in Workforce Training and Development References 3. Designing Personalized Learning Experiences Using the PL Interaction Framework (PLiF) Using the Delphi Method to Establish A Framework for Personalized Learning The Personalized Learning Interaction Framework (PLiF) Learner to Content Interaction Learner-to-Learner Interaction Learner to Small Group Interaction Learner to Coach, Mentor, or Artificially Intelligent (AI) Assistant Interaction Learner to Community of Practice A Note on Other Roles Explored By Experts Alignment with Andragogy An Example Application References 4. Designing for Learner-Content Interaction Multimedia Modality of Content Mayer's Multimedia Design Principle: Include Both Words and Graphics Special Consideration for Videos/Animations Technologies for Content Delivery Technologies for Content Creation and Delivery Technologies for Immersive Learning Simulations and Virtual Reality as Immersive Learning Environments Games as Immersive Learning Environments Instructional Delivery Modality Learning Activities Use Case Example of Learner-Content Interaction Using Immersive Technologies Use Case Example of Learner-Content Interaction Using an LMS and GBL References 5. Designing for Learner-Learner Interaction Differences Between Learner to Learner and Other PLiF Interaction Types Designing for Learner-to-Learner Interaction Defining Learning Needs and Instructional Objectives Where Learner to Learner Interaction Occurs Facilitating the Learner to Learner Interaction Selection Process Categories of Peer Learning in Learner-to-Learner Interaction Technologies that Enable Learner-to-Learner Interaction When to Implement Learner-to-Learner Interaction During Onboarding or Orientation During Evaluations Constantly Case Study/Use Case: Donut Additional Reading References 6. Designing for Learner-Small Group Interaction Learner-Small Group Interaction Types of Learner-Small Group Interaction Peer Collaboration Peer Response Peer Facilitation (Peer Facilitated Instruction) Designing Learner-Small Group Interaction Peer Collaboration Using Design Thinking/Collaborative Brainstorming Peer Collaboration Using The Jigsaw Method Peer Response Using Online Discussions Peer Response Using The Case Study Method Peer Facilitation Using Online Discussions Peer Facilitation Using PBL "Lunch and Learn" in Workforce Contexts Use Case Integrating the three Types of Learner To Small Group Interaction References 7. Designing for Learner-Mentor, Coach, or AI Interaction Defining the Terms Types of Coaches Theoretical Grounding in the Design of Coaching Programs Designing for Online and e-Coaching Programs Considerations for the Design of AI Coaches Role of Technology Designing Coaching and Mentoring Programs Using Train the Trainer Model Case Study/Use Case: Cyrano.ai References 8. Designing for Learner-Social Network Interaction Overview of Learner-Social Network Interaction Communities of Practice Who is Doing It Examples of COP Personal Learning Networks Designing Learner-Social Network Interaction Technologies that Support Learner-Social Network Interaction The MOOC as a Use Case of Learner-Social Network Interaction References 9. Evaluating Personalized Learning Designs Evaluating Strategies for PL Data Sources to Personalize Learning Measuring Effectiveness of Learning Through Assessment Measuring the Learning in PLiF: Types of Assessments Individual Reflective Assessments Collective Reflective Assessments Combining Individual and Collective Reflective Assessments Internal Objective Assessments External Objective Assessments Combining Multiple Forms of Assessment Tools to Assess Personalized Learning Environments Evaluating the Return on Investment of Your PL Program Overall Your Blueprint to Assess Your Organization's PLiF Offerings References 10. Empowering Learners to Engage in Personalized Learning Experiences Introduction Learner-Based Personalization and Self-Regulated Learning Research on Social Media, SRL, and PLEs Personalized Learning as a PLE Ecosystem Implementing the PLE as a Future Learning Ecosystem Phase 1: Scaffolding PLE Development with Human Coaches Using the 3-Level Framework Phase 2: Designing an AI Coach to scaffold PLE Development Using the 3-Level Framework Phase 3: Embed an LRS into the Learning Ecosystem Infrastructure to Capture Learning Analytics and Optimize the PLE Ecosystem Extending the Dimensions of PLiF References Index