IDT200x:
Instructional Design Models
Instructional Design Topic and Learning Gap
Universal Learning
Universal Design for Learning (UDL) is a framework aimed at ensuring the accessibility of educational materials for all learners. By incorporating principles of UDL into content creation, educators strive to make learning materials usable by diverse learners, including those with disabilities. While UDL primarily focuses on accommodating learners with different abilities, it ultimately benefits all learners. For instance, providing captions for videos not only assists hearing-impaired learners but also aids those who prefer reading captions or are studying in noisy environments.
Key Takeaways:
- UDL caters to the needs of learners with auditory, visual, or cognitive impairments, but it also enhances the learning experience for all students.
- UDL offers more flexibility and options for learners to access content based on their preferences.
- UDL emphasizes accessibility and adaptability in educational content.
Implications for Instructional Design:
Instructional designers must carefully consider how content is presented and how learners will engage with it. This involves selecting platforms with robust accessibility features and incorporating elements such as image descriptions and closed captioning. Additionally, content should be organized in a clear and concise manner to enhance comprehension. Incorporating flexibility into instructional design allows for student choice and accommodates diverse learning styles and preferences.
Additional Resources:
ADDIE Model
The ADDIE Model serves as a structured framework for instructional design, comprising the following stages:
Analysis: This phase involves conducting a needs assessment to determine the learners’ identities, learning objectives, and how they will interact with the content.
Design: Here, the scope and sequence of the course are outlined, and plans are devised for presenting and evaluating the content.
Development: Content and materials are produced based on the design blueprint established earlier.
Implementation: Instructors and learners engage with the course materials, putting them into practice.
Evaluation: Feedback from both learners and instructors is collected to identify areas for improvement in subsequent iterations.
The ADDIE Model carries significant implications for instructional design, offering a systematic approach for organizing the course creation process. It fosters collaboration among designers, subject matter experts (SMEs), and stakeholders by providing a shared framework. Clear communication is facilitated, ensuring that all involved parties understand the process and that crucial steps are not overlooked.
In the context of higher education, one notable drawback of this model is its time-consuming nature. Designers may encounter challenges when tasked with developing courses on short notice, particularly in response to sudden shifts to online or hybrid learning environments due to factors like health or emergencies. Additionally, conducting thorough analyses during semester breaks, when student access may be limited, can pose difficulties. However, despite these challenges, the ADDIE Model enables the creation of high-quality courses by maintaining a learner-centric focus throughout the process and encouraging ongoing refinement beyond the initial course version.
Dick and Carey Model
The Dick and Carey Model stands as a comprehensive framework for instructional design, placing significant emphasis on thorough analysis and iterative refinement throughout the design process.
Here are the main steps involved:
Identify Instructional Goals: Determine the overarching objectives and outcomes of the instructional content.
Conduct Instructional Analysis: Analyze the learners’ needs and the learning context to identify challenges and opportunities.
Identify Entry Behaviors (Analyze Learners): Understand the starting point of the learners, including their prior knowledge, characteristics, and attitudes toward the subject.
Write Performance Objectives: Define specific and measurable outcomes for the instructional experience.
Develop Assessment Instruments: Create tools and methods for assessing learner performance.
Develop Instructional Strategy: Design the instructional strategy, including delivery methods, materials, and student participation approaches.
Develop and Select Instructional Materials: Gather or create learning content such as textbooks, resources, and multimedia materials.
Design and Conduct Formative Evaluation: Use formative evaluation to assess the effectiveness of the content and instruction, making necessary adjustments.
Revise Instruction: Implement changes based on the formative evaluation findings.
Conduct Summative Evaluation: Complete summative evaluation at the end to assess overall success and identify areas for improvement in future iterations of the instruction.
Understanding by Design
Understanding by Design (UbD) stands as an instructional design framework that prioritizes outcomes, utilizing a backward structure to craft meaningful learning experiences. It unfolds in three key stages:
Identify Desired Result: At the outset, the designer pinpoints the desired outcomes of the learning journey. This entails defining what students should learn or achieve, termed “enduring understandings” within this framework.
Determine Acceptable Evidence: The instructional designer develops an assessment strategy to gauge learning, crafting assessment artifacts that align with the identified goals.
Plan Learning Experiences: In the final stage, the designer shapes the course content, ensuring alignment with the established objectives and guiding students toward assessment success.
Implications
UbD’s backward flow challenges conventional models by starting with the end in mind. It urges designers to prioritize the ultimate product of their efforts, fostering a connection with learners’ experiences and emphasizing long-term learning outcomes. Moreover, the UbD Model prompts instructional designers to contemplate education’s fundamental aspects and prioritize enduring learning.
Strengths and Limits in Higher Education
Strengths: The emphasis on understanding nurtures a focus on long-term retention, enhancing student learning outcomes. Additionally, this model tends to yield fair assessment practices, as students receive content that adequately prepares them for tests or assessments.
Weaknesses: While seemingly straightforward, this framework demands a nuanced understanding of the learning context. The initial stage necessitates comprehensive instructional knowledge or access to Subject Matter Experts (SMEs) to provide detailed insights into students’ needs and the course’s long-term objectives.
Rapid Instructional Design
Rapid Instructional Design represents an agile approach to crafting learning experiences, emphasizing efficiency, learner engagement, and responsiveness to evolving needs. Unlike traditional models, it lacks a rigid sequence of phases, offering flexibility to address priorities as they arise. Key stages in this approach include:
- Analysis and Needs Assessment: Stakeholder consultation and input from Subject Matter Experts inform the identification of crucial learning outcomes.
- Design and Planning: Designers swiftly create an overarching plan for the learning experience, considering format, instructional methods, content, and assessment approaches.
- Content Development: New learning materials are rapidly created, or existing ones are adapted to align with learning goals, fostering collaboration with stakeholders.
- Prototype and Testing: Designers pilot a prototype of the content with learners or stakeholders to gather feedback for iterative improvements.
- Deployment and Iteration: The complete learning experience is presented to learners, with ongoing data collection and iterative improvements based on learner feedback.
- Evaluation and Maintenance: Continuous monitoring and assessment of learner performance drive improvements to the learning experience and content.
Implications
Rapid Instructional Design addresses the limitations of traditional models by enabling the swift creation of learning solutions, which is particularly beneficial in contexts with tight deadlines or rapidly changing needs.
Strengths in Higher Education
It proves valuable when quick creation or adaptation of course materials is necessary, such as in response to urgent requests for new courses or transitions to online or hybrid learning.
Limitations in Higher Education
The limited emphasis on needs analysis may result in initial content that doesn’t profoundly address learner needs. Moreover, prioritizing speed in content creation may compromise the accuracy of assessments, impacting students’ academic performance and future opportunities.
Successive Approximation Model
The Successive Approximation Model (SAM) offers a dynamic alternative to the traditional ADDIE Model, emphasizing iterative development and collaboration. It’s particularly favored in environments where project needs frequently evolve. SAM consists of three primary phases, each with distinct steps:
Preparation Phase: This initial phase focuses on gathering essential background information before content creation begins. It starts with Project Initiation, where designers meet with stakeholders to outline project goals. Next, the Needs Assessment phase collects formal data on learner needs and content requirements from Subject Matter Experts. Defining Learning Objectives follows, enabling the creation of specific course goals. Background Information Gathering involves further research on the subject matter and industry trends. Stakeholder Collaboration wraps up this phase, gathering additional insights from experts and stakeholders.
Iterative Design Phase: In this phase, continuous adaptation and improvement occur based on prototyping and learner feedback. The process begins with the Savvy Start, where expectations for the project are defined. Project Planning structures the project, setting schedules, deadlines, and roles. Design Elements involve creating learning content and assessments. Prototype Development allows designers to test a limited version of the learning experience with learners. Feedback Analysis follows, where gathered data informs necessary improvements.
Iterative Development Phase: Here, the learning experience undergoes iterative refinement based on prototypes and feedback. The Design Proof stage involves sharing a blueprint of the experience with stakeholders for discussion. Alpha stage entails preparing a full version of the experience internally, followed by Beta stage where it’s released to learners for feedback. The Gold stage refines the experience based on Alpha and Beta responses, resulting in a tentatively final version. Rollout marks the issuance of the full experience, with ongoing monitoring and improvement for subsequent versions.
Implications
SAM encourages designers to prioritize the creation of high-quality materials, with a strong focus on iteration to ensure the learning experience remains responsive to evolving learner needs and contexts. Collaboration with Subject Matter Experts and stakeholders is emphasized to ensure accurate knowledge development.
Strengths of SAM in Higher Education
The iterative approach of SAM enables designers to continuously adjust to evolving needs and contexts, facilitating seamless adaptation to curriculum updates or changes in program requirements. It offers flexibility in accommodating shifts in course formats, such as transitioning from face-to-face to hybrid or online delivery.
Weaknesses of SAM in Higher Education
SAM’s extensive sub-stages within each phase pose challenges for designers without prior experience, potentially increasing the learning curve. The multi-phased process can be time-consuming, particularly before content creation begins. Additionally, accessing required individuals, like Subject Matter Experts and stakeholders, may prove challenging, impacting timely progress and testing of materials with real students.
Learning Objectives, Bloom’s Taxonomy & SMEs
Learning Objectives are specific targets that learners aim to achieve during a course, typically at the end of a unit, week, or lesson. They outline the smaller steps that contribute to the overall Course Learning Outcomes (CLOs), which are broader goals for what students will learn or be able to do by the end of the entire course.
For example, in a course on Academic Writing, Course Learning Outcomes might include being able to complete research for an academic paper or writing an academic essay following specific guidelines like APA format. Learning Objectives within this course might focus on more specific tasks like writing in-text citations or identifying reliable sources, and these objectives would be achieved at different points throughout the course.
Bloom’s Taxonomy, on the other hand, provides a framework for understanding and categorizing cognitive functions into six hierarchical levels. These levels range from basic remembering of information to the highest level of creating new ideas or products based on that information. Bloom’s Taxonomy guides educators in designing activities and assessments that align with the cognitive skills learners are expected to develop.
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