Designing behavioral interventions?
Analysis of 274 real‑world interventions shows that effectiveness comes from tight alignment with the target behavior, not from richer media or emotional framing.
Simple. Empirical. Actionable.
#BehavioralDesign #LearningDesign #EvidenceBased #HumanBehavior
AI can enhance learning in #HigherEducation — especially feedback and engagement — but its effects on skills, reasoning, and critical thinking remain uneven and highly design‑dependent.
#EdTech #SystematicReview #LearningSciences
#GenAI@work is not a productivity feature—it’s an #OrganizationalIntervention. Its impact on #CollectiveIntelligence depends on #InteractionDesign, coordination rules, and org. & social norms, not the model.
It does not make teams smarter by default.
research on 26 #ServiceDesigners showing the pros & cons of #genAI to perform #Discovery tasks. GenAI's potential to facilitate multi-tool collaboration, improve team communication is promising. Ongoing compatibility and integration challenges currently hinder realizing these benefits effectively.
reminder: #DesignThinking isn't about process, it's using cognitive and social capabilities. Like learning: critically observing and noticing, framing and reframing for sense making, imaging and designing thanks to abductive thinking and experimenting.
#CognitiveCapabilities #metacognition
Grounded in #Self‑DeterminationTheory, this theoretical paper shows how #GenAIatWork can threaten competence, autonomy, and relatedness — and identifies five coping strategies employees use in response: direct resolution, symbolic self‑completion, dissociation, escapism, and fluid compensation.
This longitudinal study combines EEG brain data + behavior (not just self‑reports) to show how repeated #LLM‑assistedWriting may lead to “ #CognitiveDebt”: weaker learning signals, poorer recall, and reduced #EpistemicAgency.
www.researchgate.net/publication/...
#GenAI@work
research at P&G shows AI adoption at scale in knowledge work reshapes not only performance but also how expertise and social connectivity manifest within teams, compelling organizations to rethink the very structure of collaborative work.
www.hbs.edu/faculty/Page...
#FutureOfWork
GenAI customer service assistants are not just performance enhancers but learning tools: workers internalize better strategies, language, and interaction skills that persist even when AI is unavailable — with the strongest effects among the lower‑skilled agents.
academic.oup.com/qje/article/...
LLM assistants in decision-making roles (e.g.,
purchasing goods, selecting academic submissions, films, CVs ...) will implicitly favor LLM-based AI agents and LLM-assisted humans over ordinary humans as trade partners and service providers.
#AIagentBiais #DecisionMaking
arxiv.org/pdf/2407.128...
Tired of tools that force users into prompt‑coding instead of real creative flow?
This new paper breaks down 5 paradoxes you must design around to build truly co‑creative AI — not executors, but partners in exploration.
#GenAIUX #UXForAI #AICoCreation #DesignResearch #CreativeAI
human) #metacognition framework, #GenAI #metacognitiveDemand in user workflows, and how genIA systems could support, reduce and manage it to reduce the mental load. #CHI2024 arxiv.org/pdf/2312.10893
a great overview on #LLMs metacognitive capabilities #metacognition www.emergentmind.com/topics/metac...
"infrastructure issues" "implementation issues" & #ContextRot : 3 additional "theories" to account for LLMs #IntelligenceDrift
www.ignorance.ai/p/revisiting...
A rare, data‑driven look at #YouTube public content (nov 2022) beyond recommendations: a vast long tail of unseen, low quality videos hidden beneath the algorithmic spotlight.
#ContentEcosystems #MediaStudies
anyone to adapt/replicate this study with agentic AI?
journalqd.org/article/view...
#GenAI upskilling = #metacognition: notice what the model is doing, check your thinking, and adjust your strategy. von Thienen et al. (2023) frame this as #CreativeMetacognition in design thinking—key for better (and safer) #human‑AI creation.
www.frontiersin.org/journals/psy...
LLM's response traits—rather than #LLMpersona- drift during interactions, especially in emotionally charged contexts, leading to harmful behaviors. Authors propose activation capping along a learned "Assistant trait" axis & prompt steering to stabilize response traits.
arxiv.org/pdf/2601.10387
Chain-of-Thought prompting shows diminishing returns in modern LLMs. Non-reasoning models show mixed results—improved averages but increased variability. However CoT is still relevant for learning and transparency/control. #AIprompting #ChainOfThought #Wharton
GenAI creates a paradox: 20/21 students completed the task (vs 20/31 without AI), but many didn't understand their solutions. Instead of solving existing metacognitive difficulties, GenAI compounds them and introduces new ones (Interruption, Mislead, Progression). #metacognition #learningwithAI
arxiv.org/pdf/2512.19189 Great framework for LLM usage study :"configuration work". Workers must discretize tasks, manage cluttering from prompt engineering overhead, attune practices to task-agnostic systems, and experience desaturation of work texture.
#LLMs #HCI #WorkStudies
Your Simple Guide to Understanding How Humans Connect (and Why AI Can't Fully)
The cognitive, compassionate and contagious facets of empathy: why your boss needs all 3 facets & ChatGPT only has 2 out of 3
#Empathy #Neuroscience #Psychology #Leadership #AIvsHuman
claude.ai/public/artif...
AI transforms peer assessment like in the RIPPLE case (operationalising consensus and trust modelling): boosting reliability even if the transparency and overreliance challenges remain valid
#PeerAssessment #AIinEducation #EdTech #Calibration
link.springer.com/article/10.1...
Nice bridge from SRL (self-regulated learning) theory to practice: HHAIRL frames Human‑AI collaboration where AI scaffolds without short‑circuiting metacognition. FLoRA delivers it
arxiv.org/abs/2507.07362
#SRL #HHAIRL #AIinEducation #LearningAnalytics #HCI #arXiv #metacognition
