PSYC100 Vocabulary Flashcards: Metacognition, Mindsets, Learning Strategies, and Attention
Metacognition, Mindsets, and the Learning Cycle
Opening prompts (Page 1): elements of the learning cycle; broad consequences and questions about AI in learning; prompts to engage with polls (PollEV: www.pollev.com/punchyocean).
Today’s focus (Page 2):
Metacognition
Mindsets
6 effective learning strategies
Attention
Metacognition and Mindsets
Page 3 prompt for class responses: describe specific instances of engaging in metacognition (not limited to school contexts).
Page 4: Key components likely tied to beliefs and self-regulation:
Belief
What effort means
What matters
Behavioral outcomes
Interpretation of failure
Page 5: Question raised — Why do mindsets matter?
Growth Mindset Research and Impacts
Page 6: FIGURE 2 summary (Blackwell, Trzesniewski, & Dweck, 2007):
Seventh graders who received a growth mindset program avoided the downward trajectory in math grades typical in middle school.
The figure compares math grades before and after the program with two groups:
Students who received study skills training and a growth mindset program (growth mindset group)
Students who received study skills training only (control group)
Graph notes (axes and labels are approximate from the slide):
Y-axis ranges roughly from $2.0$ to $3.0$ in math grade units, with tick marks at $2.0$, $2.2$, $2.4$, $2.6$, $2.8$, $3.0$.
Bars/lines labeled "Before program" and "After program" show the growth mindset+skills group rising or stabilizing, while the skills-only group shows less favorable trajectories.
Source: BLACKWELL, TRZESNIEWSKI, & DWECK (2007).
Significance: The growth mindset intervention can influence mathematical achievement trajectories in early adolescence, implying beliefs about ability affect persistence and performance.
The 6 Effective Learning Strategies (and related concepts)
Page 7 lists the following strategies, with accompanying structure (Definition, Key ideas, Examples):
Retrieval Practice
Spaced Practice
Dual Coding
Interleaving
Concrete Examples
Elaboration
Page 8 reiterates the six strategies: Retrieval Practice, Spaced Practice, Dual Coding, Interleaving, Concrete Examples, Elaboration.
Page 7 also hints at components to accompany each strategy:
Definition
Key ideas
Example 1
Example 2
Retrieval Practice
Definition: Actively recalling information from memory rather than rereading or passive review.
Key ideas: strengthens memory traces, improves long-term retention, helps diagnose gaps.
Examples:
Use flashcards to test recall of terms or concepts.
Practice with free recall of main ideas before checking notes.
Hypothetical classroom cue: After reading a chapter, students close the book and write down everything they remember, then check accuracy.
Spaced Practice
Definition: Spreading study sessions over time rather than cramming.
Key ideas: spacing effect enhances retention; longer retention intervals lead to better recall.
Examples:
Review a topic on Day 1, Day 3, Day 7, and Day 14.
Schedule short review intervals across days/weeks.
Practical implication: Plan iterative reviews rather than single long sessions.
Dual Coding
Definition: Using both verbal and visual representations to learn information.
Key ideas: facilitates connections between textual and visual memory; supports processing through multiple channels.
Examples:
Create diagrams, mind maps, or sketches to accompany written notes.
Pair a verbal explanation with a simple illustration or graph.
Practical implication: Use infographics or concept maps to reinforce comprehension.
Interleaving
Definition: Mixing or alternating topics or problem types within a study session.
Key ideas: contrasts between topics promote deeper learning; prevents overreliance on procedural cues.
Examples:
Practice problems from Topic A, then Topic B, then Topic C in a shuffled order.
Alternate reading sections on related but distinct concepts.
Practical implication: Schedule practice sessions that interleave different subjects rather than block-studying one topic at a time.
Concrete Examples
Definition: Use specific, tangible instances to illustrate abstract ideas.
Key ideas: examples anchor understanding; helps transfer to new contexts.
Examples:
In math, illustrate a general principle with a concrete numerical example (e.g., using a real-world dataset).
In psychology, connect a theory to a real-world scenario (e.g., studying memory with a lab-like example).
Practical implication: Always attach abstract ideas to concrete cases in explanations.
Elaboration
Definition: Explain and expand on material by making connections, asking questions (how/why), and comparing/contrasting.
Key ideas: builds deeper understanding; integrates new knowledge with existing schemas.
Examples:
When learning a concept, explain how it relates to another topic you know.
Describe how two similar concepts differ and how they are alike.
Practical implication: Use elaborative interrogation and self-explanation during study.
Active Learning Techniques in Practice (class visuals)
Page 9: "tientists" (likely Scientists) show strategies such as:
Retrieval Practice OR WRITE SKETCH CHECK
Takeaways: combine retrieval with active generation (writing/sketching/verification) to reinforce learning.
Pages 10–11: Spaced Practice layout visuals
Calendar-style representations show study sessions spread across days (M, T, W, Th, F, Sa, Su) with variations in the sequence over time.
Temporal markers: 1 MONTH AGO, 1 WEEK AGO, 1 DAY AGO indicate increasing proximity of sessions to the test.
Page 12: Infographic styles for Dual Coding
Pros/Cons of Dual Coding visualized via formats like Cartoon Strip, Diagram, Graphic Organizer, Timeline.
Timeline example includes events labeled EVENT 1 through EVENT 5 spanning years 2012–2016.
Interleaving and Concrete Examples in Visuals
Page 13: Interleaving example shows TOPIC A, TOPIC B, TOPIC C arranged to encourage switching among topics.
Page 14: Concrete examples slide with placeholders (eg) to illustrate that concrete instances accompany abstract ideas.
Page 15: Elaboration slide shows:
DIFFERENT (A) vs SIMILAR (B) with an upward arrow indicating elaboration to compare/contrast.
Pause-to-Review and Group Work
Page 17: Pause to Check on Your Notes!
Look over recent notes
Partner activity: ask a clarification question; fill in gaps; compare organization with a classmate.
Skills for Success in PSYC100
Page 18: List of Skills for Success (eight items, slightly jumbled in numbering):
Metacognition
Awareness of mindsets
Effective learning strategies
Recognizing the limits of our attention
Retrieval practice
Interleaving
Spaced practice
Dual coding
Concrete examples
Elaboration
Practical takeaway: These skills align with building self-regulated, transferable learning habits.
Attention: Limits, Processes, and Selectivity
Page 19: Prediction prompt about attention recovery after using a voice assistant for commands (Siri-like scenario) — class poll question.
Page 20: Core claim — Attention is a limited resource.
Page 21: Attention as two processes:
Process 1: Focus limited resources on relevant information
Process 2: Block out irrelevant information
Page 22: Attention is selective (Broadbent’s Filter Theory)
Model components:
Message A: Limited-capacity responses
Message B: Input channels
Selective filter as part of decision channel
Messages C and D as competing stimuli
Four messages presented; only one passes to the limited-capacity decision mechanism
Source: Broadbent (1958)
Page 23: Let's Take an Attention Test! (class activity indicator)
Attention-Related Phenomena in Perception
Page 24: Inattentional Blindness
Definition: A failure to detect something clearly in your visual field because your attention was focused elsewhere
Slide notes: 3 conditions that lead to greater likelihood of inattentional blindness (not enumerated in the transcript)
Page 25: Attention Task
Prompt: How many changes do you see? (change-detection task)
Page 26: Change Blindness
Definition: A failure to detect differences in your visual field when scenes are disrupted by a visual disturbance
Connections to Foundational Principles and Real-World Relevance
Learning strategies (Retrieval, Spaced Practice, Dual Coding, Interleaving, Concrete Examples, Elaboration) align with cognitive psychology research on encoding and retrieval, helping long-term retention and transfer.
Growth mindset interventions can influence academic trajectories, particularly in subjects like mathematics during critical schooling periods.
Metacognition and awareness of mindsets support self-regulated learning and adaptability across disciplines and contexts.
Attention research (limited resources, two-process model, Broadbent’s selective attention) informs classroom design (minimizing distractions, chunking information, signaling relevant inputs).
Inattentional and change blindness highlight real-world fallibility in perception under attention load, with implications for safety-critical tasks (driving, monitoring screens, multitasking).
Quick Reference: Key Terms and Concepts (LaTeX-ready for formulas and emphasis)
Growth mindset program (studies show attenuation of typical decline in math grades):
For math achievement, see: $7^{th}$ graders with growth mindset intervention vs control.
Attention concepts:
Attention as a limited resource: $\text{Attention} \subseteq \text{Finite}$.
Two-process model: $\text{Focus on relevant input} \quad \land \quad \text{Block irrelevant input}$.
Broadbent’s Filter Theory: selective filter reduces multiple messages to a single attended channel before decision-making.
Cognitive phenomena:
Inattentional blindness: failure to notice unexpected objects when attention is elsewhere.
Change blindness: failure to notice changes in a visual scene when disrupted.
Poll/Evaluation Prompts (Class Activities)
Page 1 & 19 prompts invite live polling via PollEv: use questions about learning strategies, attention, and the impact of AI on learning.
Page 23–25 attention tasks encourage quick perception checks to illustrate inattentional/change blindness.
References Retained in Transcript
Blackwell, L. S.; Trzesniewski, K. H.; Dweck, C. S. (2007). Growth mindset intervention and math achievement data presented for 7th graders.
Broadbent, D. E. (1958). Broadbent's Filter theory of selective attention (as cited in Figure 4-7).
The slide deck references PollEv at www.pollev.com/punchyocean for in-class engagement.