Motivation

1. Intrinsic motivation

2. Identified regulation - acknowledging its value

3. Introjected Regulation - performing the activity to maintain self-esteem and avoid guilt from failure

4. External Regulation - compelled by external rewards to perform the activity

5. Amotivation - the lack of intentionality

• emotions are multi-component

• Affective

• Cognitive

• Motivational

• Expressive

• Perioheral physiological processes

e.g. Anxiety

=> Affective: uneasiness / nervous feelings

=> Cognitive: worries

=> Motivational: avoidance motivation

=> Expressive: anxious facial expression

=> Physiological: physiological activation

Within-network construct validation

• focuses on internal construct validation, involving the examination of the factor structure and the factor correlation matrix

• CFA

• Item-level analysis

Between-network analysis

• focuses on assessing a scale with other theoretically related constructs (Marsh, 1997).

• Correlational analysis is commonly employed in this process.

1. Intrinsic motivation (“I enjoy learning with AI very much”)

2. Identified regulation (“Learning with AI could enhance my effectiveness”)

3. Introjected regulation (“I will feel guilty if I don´t learn with AI)

4. External regulation (I have no other choice but to learn with AI”)

5. Amotivation (“Learning with AI is meaningless”)

8 items

I. Facilitating conditions

• I can gain access to information about AI easily

II. Subjective norms

• My school encourages the use of AI

=> 5 dimensions as suggested by Touretzky et al. (2019)

1. Perception

2. Representation and Reasoning

3. Learning

4. Natural interaction

5. Societal impact

“five big ideas in AI” with 3 items each

Representation & Reasoning: Agents maintain representations of the world and use them for reasoning

1. What is a knowledge graph in the context of AI?

a. A graph showing the amount of knowledge an AI has

b. A network illustrating entities and their relationships

c. A chart showing the accuracy of an AI's predictions

d. A map of an AI's sensor inputs

bedingt durch