Section 1 โ€” Intended Learning Outcomes

PSY101 ยท Introduction to Learning Theories ยท 7 ILOs across Bloom's Taxonomy
๐Ÿค– AI Literacy is an Explicit Learning Outcome

ILOs #6 and #7 ensure students develop critical AI literacy โ€” evaluating accuracy, bias, and limitations of AI outputs, and reflecting on ethical use of AI in psychology coursework. These are not optional extensions; they are core assessable outcomes.

๐ŸŽฏLearning Outcomes Overview
#Intended Learning OutcomeBloom's LevelAlignment
ILO 1 Analyze the key principles of classical conditioning (acquisition, extinction, generalization, discrimination) using real-world examples Analyze Core content mastery
ILO 2 Differentiate between classical conditioning, operant conditioning, and observational learning by identifying defining characteristics in case scenarios Analyze Comparative understanding
ILO 3 Apply operant conditioning principles (reinforcement, punishment, schedules) to design a behavior modification plan for a real-world scenario Apply Practical application
ILO 4 Evaluate the strengths and limitations of learning theories in explaining human behavior across diverse contexts and cultures Evaluate Critical thinking
ILO 5 Collaboratively construct a group presentation that synthesizes learning theories to explain a complex human behavior phenomenon Create Social Constructivism alignment
ILO 6 AI Literacy Demonstrate AI literacy by critically evaluating AI-generated explanations of learning theories, identifying inaccuracies, biases, and limitations, and making independent judgments about when to trust or override AI-generated content Evaluate AI literacy outcome
ILO 7 AI Ethics Reflect on the ethical considerations of using AI to support learning, including maintaining academic integrity and independent reasoning when using AI tools in psychology coursework Evaluate AI literacy + ethical judgment
๐Ÿ“ILO Design Notes โ€” Social Constructivism Alignment
๐Ÿ”—Constructive Alignment Summary
ILOKey ActivityAssessmentAI Link
ILO 1Segment 1: Mini-lecture + AI example critiqueGroup critique worksheet; post-test Q1AI examples as error-rich stimuli
ILO 2Segments 1 & 2: Compare AI examples across theoriesPre/post-test; portfolio case studyAI output imperfect boundaries force differentiation
ILO 3Segment 2: Operant Design ChallengePortfolio case study; plan presentationAI plan critique invites human override
ILO 4Segment 3: Bobo Doll ethics; media violence discussionPortfolio limitation sections; reflection essayCritique of AI omission of cultural/ethical nuance
ILO 5Segment 4: Synthesis poster + 1-min presentationsPeer evaluation; collaborative case studyGroups co-decide adopt/modify/reject AI slogans
ILO 6All AI tasks; pre-class journal; closure reflectionAI Use Transparency Statement; critique worksheetsCore AI literacy outcome
ILO 7AI Reflection discussion; academic integrity discussionTransparency Statement ethical reflection; exit ticketEthical AI integration as curriculum outcome
โ† Overview Pre-Class Preparation โ†’