SIFT Through the Internet!
eLearning Practicum Project, 2025
eLearning Practicum Project, 2025
SIFT Through the Internet! is a scenario-based eLearning course equipping college students with the necessary skills to evaluate online content, using the SIFT method (Stop → Investigate → Find Coverage → Trace Claims) created by Dr. Mike Caulfield in the CTRL+F Lab. The course is story-driven, following a fictional journalist reporting on a new technology, mirroring each step of the SIFT process.
This project was created for my Certificate in Educational Technology & Instructional Design from the University of Washington. The resulting case study follows the ADDIE (Analyze → Design → Develop → Implement → Evaluate) model, with all sections being labeled with their corresponding parts of the acronym as well.
At the end of my first course in the certificate program, I developed a full project proposal defining its scope, audience, learning objectives, design approach, and learning context. This is shown below:
Project Scope:
SIFT Through the Internet is a game- and scenario-based eLearning course introducing the SIFT (Stop → Investigate → Find Coverage → Trace Claims) method and process to college students or other young adults.
The course is structured with four "chapters" representing the four letters of the SIFT process, creating a scenario that builds on each previous step and simulates a real-world research environment.
Background:
Gap: Many college students are unfamiliar with research practices before library instruction occurs, and therefore feel overwhelmed by the research process when working on their first academic papers. This module will help familiarize students with methods for evaluating online information, and a range of digital resources available to them in and outside of library settings.
Audience: College students or college-aged young adults, with a specific focus on first-year and transfer students.
Learning Objectives:
Identify the steps of the SIFT method.
Practice effective online search strategies using SIFT principles.
Execute each step of the SIFT method when faced with an information problem.
Apply SIFT principles to everyday internet searching.
Assessments:
Four formative assessments of each individual step associated with the four letters of SIFT.
A summative assessment occurs at the end of the four "chapters," asking learners to apply SIFT processes to other everyday Internet searching contexts through multiple-choice and scenario-based questions.
All examples in the assessment and narrative are fictionalized.
Design Approach
Asynchronous Learning Format: SIFT Through the Internet is intended to be delivered online through either the LMS Canvas or a standalone website managed in-house by the library, such as a LibGuide or WordPress site.
Format Choice: Flexibility is one of the most important parts of adult learning, and because college students and young adults have busy schedules and multiple responsibilities, it is best to deliver it in a self-paced model. The course can be used as either a standalone educational resource online or to supplement in-person instruction.
Licensing: This course is an open educational resource (OER) licensed under Creative Commons-BY-NC, the same license that the original SIFT method and its related resources was created under. This means that it can only be used for non-commercial purposes.
Course Sequence:
Introduction
Module 1: Stop
Module 2: Investigate the Source
Module 3: Find Better Coverage
Module 4: Trace Claims, Quotes & Media
Final Quiz and Resources
Technologies:
Prototyping: Figma.
eLearning Authoring: Articulate Storyline.
Graphics & Media: Photoshop, Illustrator, Lightroom.
Web Hosting: flexible - could be Canvas LMS, a Springshare LibGuide, or a WordPress site.
Implementation
Context: The module will be delivered over a public web platform, either a Canvas course open for any students to join or a library-hosted website via LibGuides or WordPress. The course can be taken on a computer, phone, or tablet.
Organizational Considerations: Institutional buy-in depends on the library's higher-ups, namely the dean and managers, and I will need to be very clear about its goals and its status as a unique form of library instruction.
Technical Support: The course will be delivered over either a Canvas page, managed by the college's IT department, or a website developed in-house by the library. All files will be backed up through my own local saving.
User Personas
To empathize better with potential users, I created two eLearning personas who would represent potential users. They were made on Canva, with stock photos from Pixabay.
Savvy Start Report
The SIFT method is meant to help college students gain a sense of agency over the research process, situating their feelings and prior knowledge as the most important parts when searching for digital content. The modules in this eLearning course will familiarize them with SIFT processes and allow them to apply it to everyday Internet searching.
This training can be a standalone online course or offered as a part of the campus's course-integrated information literacy curriculum. Faculty can also offer the tutorial as a resource . It is online and fully asynchronous, taking around 40 minutes to 1 hour. Learners practice the SIFT method's four steps through realistic scenarios, and the end of the module features resources for further learning in the form of a linktree and QR code.
Storyboard
The full design storyboard of the early version - under its prior name - can be seen in the PDF below. It is 11 pages and features insights on design choices, interactions, and web accessibility.
The original prototype of the course was made on Figma, meaning there were limitations on what interactions I could offer.
My project work plan, completed in the Practicum course, is available for you to read below:
Subject Matter Expert Interview with Dr. Mike Caulfield
While developing this project I also conducted a Zoom interview with Dr. Mike Caulfield, the founder of the CTRL+F Lab and creator of the SIFT method. I asked him about SIFT's impact, what tools the method has already helped build, and how I can best adapt SIFT to design more impactful information systems.
His answers were very helpful as I was developing and reviewing my prototype, with some highlights including:
"The fundamentals of SIFT matter more and more every day - CTRL+F has been asking questions of not only how to prevent biased information from spreading, but who and what is spreading them."
"AI literacy is now information literacy - more and more computers are generating digital content that emulates things created by humans."
"AI-generated information and accurate information housed behind paywalls are direct threats to digital literacy."
"SIFT was designed with the user's agency in mind - it's been a gateway to helping people understand how they can positively impact our information landscapes."
My conversation with Dr. Caulfield may have already confirmed my suspicion that college students' information literacy is important to change-making, but illuminated that SIFT has been a gateway to deeply understanding agents on the Internet, and can lead to many new pathways to build a stronger, more trustworthy digital landscape. This helped me create some unique assesments in the final quiz.
In the Practicum course, I created a full demo version of this online course on Articulate Storyline, and a custom HTML player to run it in. It's viewable by clicking here and on the button under the screenshots.
Screenshots are shown below.
Kirkpatrick Levels
Level 1: Reaction focuses on learners' satisfaction and engagement with the educational artifact. Learner feedback, fulfilling Level 1, will be connected through a feedback survey at the end of the online course.
Level 2: Learning emphasizes what knowledge and skills learners acquired from their education. Level 2 will be evaluated through the formative and summative assessments on their ability to use SIFT processes to aid in their everyday navigation of the Internet, and the immediate feedback on assessments will reinforce learning.
Level 3: Behavior evaluates how learners will apply new skills to their out-of-class environment. This level will be assessed by tracking completion rates on the website or LMS that the training is implemented in, and by gathering feedback from faculty members assessing changes in learners' behavior.
Level 4: Results is all about the broader organizational impact of learning. This is somewhat intangible given the nature of the course and where it will be integrated, but a variable like a high amount of page views, or high use of the tutorial in academic courses (which can possibly be tracked through emails or feedback), ensures that this level can be met.
Assessment Techniques & Tools
Grading: Since this course is focused on skill development rather than academic assessments, students will not receive any formal grades, only a certificate of completion to serve as a memory (not yet implemented).
Formative Assessments: Learners will receive ongoing feedback through scenarios and simulations, applying SIFT principles.
Summative Assessment: The course's final, summative assessment contains two realistic scenarios and a quiz, demonstrating understanding of all four moves of SIFT and proficiency in determining the accuracy of digital content.
Validity & Reliability: The assessment tools are designed to align closely with the learning objectives and simulate real-world scenarios searching for and analyzing information online. I am in the strange position of both "instructional designer" and "subject matter expert," as I have an advanced degree in library and information science - reliability and validity are ensured by my own comparison of the assessments with my past reference and instruction experience, ACRL frameworks, and ALA Core Competencies.
Types of Knowledge: The assessments focus on both declarative and procedural knowledge. Declarative knowledge is assessed through learners' recollection of terms related to digital literacy, while Procedural knowledge is assessed through their applications of SIFT principles in scenarios.
Data Collection: The course captures quantitative data through completion rates on the course itself, its modules, and its assessments. This allows for an objective evaluation of learners' progress.
Online Instructor Role: Rather than a traditional instructor, learners will receive automated feedback and guidance from a "guide character," a fictional journalist, during scenarios. The feedback is tailored to address their specific actions and decisions as they're learning about SIFT.
Types of Electronic Assessment Tools:
Scenario-based "click-through" simulations showing learners how to use Google and Wikipedia to fact-check a claim.
"Drag and drop" interactions creating an interactive puzzle for learners to apply existing knowledge to information problems.
"Fill in the blank" interactions helping learners think critically about where certain steps of the SIFT method lie.
Multiple-choice quizzes encouraging critical thinking on places the SIFT method could be applied to and which move of SIFT is best for certain situations.
Example Items: shown below, all using the CTRL+F lab's examples.
Evaluation Plan
Variables for Evaluation:
Course completion.
Accuracy rates answering the formative and summative assessments.
User satisfaction (through surveys, anecdotes using the course, and positive feedback).
Tools for Evaluation:
Learning management system (LMS) or website analytics tracking course completion.
Assessment results from scenarios and quizzes.
Survey feedback.
Use to supplement instruction and academic courses.
Data Collection: Data will be collected throughout the course through assessments, and after it through post-training surveys.
Utilization of Data: The collected data will be analyzed to identify areas of improvement in course design and delivery. Feedback will inform potential redesigns of the course to meet changing learning needs and institutional commitments.
Kirkpatrick Level 1: Feedback Survey
Overall Satisfaction: How satisfied were you with SIFT Through the Internet?
Very dissatisfied
Dissatisfied
Neutral
Satisfied
Very satisfied
Relevance of Content: How relevant were SIFT Through the Internet's scenarios to your experience searching for digital content?
Not relevant at all
Not very relevant
Somewhat relevant
Relevant
Very relevant
Usefulness of Modules: How useful were the modules in helping you understand the SIFT method?
Not useful at all
Not very useful
Somewhat useful
Useful
Very useful
Ease of Understanding: How easy was it to understand the SIFT method as it was presented in the course?
Very difficult
Difficult
Neither easy nor difficult
Easy
Very easy
Interactive Learning: How engaging were the interactive activities and exercises?
Not engaging at all
Not very engaging
Neutral
Engaging
Very engaging