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Cognitive Bias Lab is an interactive platform designed to help learners explore and practice recognizing cognitive biases. Through simulations, quizzes, and role-play scenarios, it supports critical thinking, decision-making skills, and classroom discussions in psychology, education, and media literacy.
Cognitive Bias Lab offers an engaging, research-informed approach to teaching cognitive biases through interactive tools such as simulations, quizzes, and chatbot role-play. It enhances critical thinking and metacognitive skills by helping learners identify how biases shape judgment and decision-making in real-world scenarios.
Educators can use the platform as:
A flipped classroom activity, where students explore simulations before group discussion
An in-class exercise to provoke critical debate on reasoning and bias
A formative assessment tool, allowing learners to test and reflect on their understanding
A module supplement in psychology, behavioral economics, media literacy, or teacher training courses
A design thinking warm-up for product or UX design students to identify user-side bias risks
The platform is modular and adaptable, allowing instructors to embed individual exercises into LMSs, customize discussion prompts, or pair activities with academic readings. It supports accessibility through intuitive navigation and is freely available to promote equitable access to high-quality learning resources.
Creative Commons Attribution-NonCommercial (CC BY-NC)
This work is licensed under a CC BY-NC license, permitting sharing and adaptation for non-commercial purposes with proper attribution.
https://creativecommons.org/licenses/by-nc/4.0/If you have modified or adopted this resource, share your version here. Tracking adaptations helps us measure impact and connects others with useful updates.
This open educational resource provides a step-by-step guide to cataloguing three-dimensional physical objects — primarily material samples — in Koha, the open-source Library Management System.
This OER is targeted at lecturers and describes an inclusive framework to integrate artificial intelligence (AI) learning design at third level.
This report draws on Patricia Gibson’s research around critical approaches to Artificial Intelligence (AI) in Education and the increasing automation of Educational Technologies (EdTech).
This resource was created to share the learning from teaching adults with intellectual disabilities (ID) in IADT college as part of a national suite of pilot projects.
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