intelligence

intelligence quotient

a scoring formula that indicates the progression of a childs mental capacity in comparison to children of the same age

not adequate for measuring adults intelligence

childrens iq

devolopes rapidly compared to the thier chronological age

vygotskys view on intelligence

intelligence devlops through social and cultural mediation

a child learns by observing the actions of others in their sociocultural environment and internalises these actions + uses their imaginatation in situations to figure out how to react → learning

zone of proximal development

what the person can become

undeveloped capacities that have the potential to develope through leaning opportunties (support)

leaarning potential

based on zpd

cognitive abilty can change over time as environmental conditions improve

therfore tests should measure the capacity to learn or adapt to change

IQ vs learning potential

focuses on crystallised intelligence vs focuses on potential

emotional intelligence

ability to perceive manage and understand emotions

4 components

RECOGNITION: WHO I AM

1. self awareness

2. social awareness

REGULATION: WHAT I DO

1. self management

2. social skills

self awareness

the ability to recognise and understand your ownemotions and theirimact on thoughts and behavior

kowing your emotional triggers → influence ur decisions and actions

self regulation

ability to manage your emotions esp stressful situations

conrolling impulsive feelings → staying calm→ appropriate, productive response

social awareness

recognising and understaning the emotions of others

AI

Most associated with the 4IR

represents changing world and workplace that employees and organisations have to adapt to

GenAI vs NonGen AI

Creates new content based on patterns learned from data vs analyses predicts classifies or recommends using existing data

output can be different eah time vs output is generally more constrained by a defined task

benefits

faster documentation processes

support for evidence based decision making

enhaced analysis of large datasets from employee surveys

concerns

1. maintaining professional standards

2. addressing potential bias in AI outputs

3. Preserving the essential human element in psychological practice

employee development and AI

Ethical issues

have to balance the benefits with the risks/ innovation vs ethics

impact employees rights, wellbeing, etc

1. accessiablilty and intregrity

2. privacy

3. algorithm bias

4. explainabiltiy and transparancy

acessibility and integrity

ai should be equally accessible and used honestly

accessibility = whether everyone has a fair o

privacy

personal info should not be shared

algorithim bias

ai my strengthen bias when the data they use reflects inequalities

explainability and transparancy