Week 8

Signature Assignment

Minicourse Idea and Learning Theory Connection

Week 8 - Assessment & Learning Models

Signature Assignment - Minicourse Idea and Learning Theory Connection

Minicourse Idea: Web Basics

This minicourse addresses a common gap in foundational digital literacy. Many adults today engage with the internet daily yet lack a clear understanding of essential concepts like secure websites, online identity, data privacy, or how multi-factor authentication actually works. This leads to poor decision-making online, unnecessary risks, and general discomfort navigating digital environments.

Web Basics was designed to close this gap. The course covers practical topics such as online documents vs. local storage, IP addresses, secure browsing, cookies, privacy settings, managing online accounts, and understanding the digital footprint. Each topic is structured to build confidence and fluency, helping learners navigate the web more safely and make informed digital choices.

This course is especially relevant for adult learners in corporate or everyday contexts who may be comfortable using the internet superficially (email, browsing) but lack the deeper understanding needed to manage risks or adapt to more complex digital tasks.

Web Basics Curriculum

Learning Theory Connection

1. Andragogy (Adult Learning Theory)

Strengths:

Andragogy is a natural fit for this course. It recognises that adult learners are self-directed, bring prior experiences, and need learning to be relevant to real problems. The course leverages this by framing each topic around practical, everyday online scenarios, such as securing accounts, recognising phishing attempts, or managing privacy settings. Content is concise and modular, allowing learners to explore based on personal interest or immediate need.

Limitations:

Andragogy assumes a level of intrinsic motivation and self-regulation. Some learners, particularly those with low tech confidence, might still look for more structured, guided approaches. Without enough support, purely self-directed modules could risk surface-level engagement.

How this theory informs design:

  • Course modules begin with context and clear "why it matters" statements, aligning to adults' need to understand relevance upfront.
  • Scenarios like "Angie's Digital Lifestyle" connect content directly to relatable experiences.
  • The course uses self-check quizzes and informal reflection questions that encourage learners to connect new ideas to their own digital habits, supporting experience-based learning.

2. Cognitivism & Cognitive Load Theory

Strengths:

Digital concepts like IP addresses or two-factor authentication can quickly overwhelm. Cognitivism (and specifically cognitive load theory) is used to manage complexity by breaking topics into short, focused videos and simple language. Progression across modules builds mental schemas gradually, reducing cognitive overload.

Limitations:

While this structure supports processing, it may underemphasise the social or collaborative aspects of learning, which can be helpful in building digital confidence. Without peer discussion, learners might miss opportunities to explore diverse examples or common misconceptions.

How this theory informs design:

  • Complex topics are divided into bite-sized modules, each focusing on a single concept, minimising extraneous cognitive load.
  • Interactive quizzes and simple diagrams help strengthen mental models (supporting encoding and retrieval).
  • Concepts are frequently tied to small, low-stakes checks to reinforce understanding and correct misconceptions early.

Additional Connections to Learning Design

The course also benefits from principles found in constructivist learning, where learners actively integrate new concepts with what they already know, especially when prompted to compare local vs. online documents or examine personal privacy habits. It draws lightly on experiential learning, inviting learners to test tools like incognito browsing or password managers themselves, building confidence through firsthand exploration.

Examples of Learning Activities, Assessments, and Strategies

Andragogy

  • Learning activity: Learners start by completing a short self-rating on how confident they feel managing online privacy. This personal benchmark helps surface relevance and gives them a reason to invest in the course.
  • Engagement strategy: Include discussion prompts or comment fields (if used in a cohort or LMS) like: "What was your biggest surprise about your own digital footprint?"" to draw on learners' experiences.
  • Assessment: A reflective short-answer submission where learners describe one immediate change they plan to make to protect their online identity, reinforcing practical application.

Cognitivism & Cognitive Load

  • Learning activity: Use progressive case studies that introduce complexity in steps. For example, start with a simple scenario managing one online account, then layer in multiple accounts and privacy settings.
  • Engagement strategy: Interactive "spot the risk" images where learners click on elements (like weak passwords or unsecured sites) to get instant micro-feedback, helping encode decision rules.
  • Assessment: Short scenario-based quizzes (summative assessments) that test understanding of concepts like secure URLs or multi-factor authentication, reinforcing schema through repetition.

Constructivism & Experiential Elements

  • Learning activity: Learners perform a mini-digital audit, checking their own browser settings, social media privacy levels, or password manager. They then compare this to a best-practice checklist provided in the course.
  • Engagement strategy: A simple portfolio artifact. Learners capture a screenshot or write a brief note on one change they made to improve their digital safety.
  • Assessment: Capstone task where learners analyse a short composite case (like "Jane signed up for three new services last month; what should she adjust to stay secure?"), applying multiple course concepts to provide recommendations.

Using Theory Analysis to Identify the Best Course Design

By carefully weighing the strengths and limitations of each learning theory in relation to the needs of adult learners and the topic, it became clear that the most effective instructional solution would be a short, modular, self-paced minicourse focused on practical web literacy.

Andragogy (Adult Learning Theory)

  • Strengths: Supports designing learning that is relevant, problem-centred, and respectful of the learner's existing experience. Particularly suited to adults who need to understand why a topic matters before they engage.
  • Limitations: Relies on learners' intrinsic motivation and ability to self-direct, which means if content were too unstructured, some might disengage.
  • Impact on instructional design: Drove the choice to develop concise, real-world modules that directly address personal and work-related digital needs, ensuring relevance and supporting autonomy.

Cognitivism & Cognitive Load Theory

  • Strengths: Provides clear justification for chunking complex digital concepts into manageable pieces, using repetition, visuals, and practice to build mental frameworks.
  • Limitations: Less focused on personal context or experiential integration if used in isolation, which could result in superficial understanding.
  • Impact on instructional design: Guided the decision to use bite-sized, sequential lessons with frequent low-stakes quizzes, helping learners process technical content without overload.

By exploring these theories side by side, it became evident that the best instructional solution was not a lengthy, theory-heavy course or an open-ended discussion series. Instead, it led to selecting a practical, tightly scoped minicourse format that respects adults' time, leverages their prior knowledge, and builds confidence with short, structured topics they can apply immediately. This direct alignment between theory analysis and course type ensures the design is both academically grounded and practically effective.

How Learning Activities Shape the Design Process

The chosen learning activities will influence design decisions at every step. Incorporating short scenario prompts, self-check reflections, and applied tasks keeps the content anchored in real-world challenges, ensuring relevance from the outset.

Layered quizzes and progressive examples guide how topics are sequenced and how complexity builds, directly impacting content flow.

Activities like mini digital audits or personal privacy checklists shape resource creation by pushing learners to apply concepts to their own habits.

By planning these activities early, they drive choices around visuals, micro-interactions, and formative assessments, keeping the course practical, authentic, and aligned with adult learning principles and cognitive strategies.

Together, these design decisions ensure the course remains grounded in proven theory while staying sharply focused on what adult learners actually need: clear, usable skills they can apply immediately.

Conclusion

By combining andragogical principles (relevance, autonomy, experience) with cognitive load-informed design (chunked content, progressive complexity, practice checks), this minicourse delivers practical learning tailored to adult needs. It builds digital fluency in a way that is immediately usable, respectful of time, and mindful of how adults process new technical concepts.