PYC3703 Memory, Attention, and Problem Solving Exam Notes: UNISA Cognitive and Neuropsychology Undergraduate Module Study Guide

This study guide brings together the core concepts, theories, and exam-ready applications typically expected in UNISA PYC3703: memory, attention, and problem solving. It is written for students who need clear definitions, deeper explanations, and practical comparisons that make revision easier and exam answers stronger. The focus is on understanding how these cognitive processes work, how they fail, and how they interact in everyday life, learning, and psychological assessment.

1. Introduction to Cognitive Psychology in PYC3703

Cognitive psychology examines how people acquire, process, store, retrieve, and use information. In the context of PYC3703, memory, attention, and problem solving are not isolated topics; they are interdependent processes that shape how humans learn, reason, adapt, and perform. A student who understands these processes can explain why some information is remembered and other information is forgotten, why attention is sometimes narrow and sometimes divided, and why some problems are solved efficiently while others lead to repeated errors.

At a basic level, memory is the system that encodes experience, stores it over time, and later allows retrieval. Attention determines which information is selected for deeper processing, and problem solving depends on both attention and memory because one must identify a problem, hold relevant details in mind, and apply strategies. In exam questions, these topics are often linked in scenarios involving learning, distraction, forgetting, decision-making, or everyday tasks such as driving, studying, or using technology.

Why these topics matter in psychology

These three areas are central to cognitive and neuropsychological understanding because they are strongly connected to both normal functioning and clinical impairment. Memory difficulties may appear in ageing, brain injury, depression, trauma, and dementia. Attention problems are often associated with ADHD, anxiety, fatigue, and neurological conditions. Problem solving can be disrupted by stress, rigid thinking, executive dysfunction, or poor working memory. Thus, a strong answer in PYC3703 usually shows that cognition is not merely abstract theory but is grounded in human behaviour and brain functioning.

The study of cognition has also influenced education, therapy, workplace design, and technology. For instance, teachers use memory principles to improve retention, employers use attention research to design safer work environments, and therapists use problem-solving approaches to improve coping. In this way, the module links basic science with practical application.

A useful framework for exam answers

A strong exam answer on this topic usually moves through four stages:

Define the process clearly.
Explain the main theories or models.
Describe key findings, examples, or limitations.
Apply the concept to a real-life or clinical case.

For example, if asked about memory, do not merely define it as “the ability to remember.” Instead, explain encoding, storage, retrieval, and the distinction between short-term and long-term memory. If asked about attention, differentiate selective, sustained, divided, and executive attention. If asked about problem solving, discuss how problems are represented, how strategies are selected, and how heuristics and algorithms differ.

Key terms to know early

Term	Meaning	Exam importance
Encoding	Converting sensory input into a form that can be stored	Explains how memory begins
Storage	Maintaining information over time	Distinguishes short-term and long-term memory
Retrieval	Accessing stored information when needed	Helps explain forgetting and recall
Selective attention	Focusing on one source of information while ignoring others	Important in distraction questions
Working memory	Temporary storage and processing system	Critical in reasoning and learning
Problem representation	Mental description of a problem	Shapes which solution is chosen
Heuristic	A quick mental shortcut	Useful but can produce errors
Algorithm	A step-by-step guaranteed method	Slower but more reliable

One recurring theme in PYC3703 is that cognition is limited. People cannot process everything at once, remember everything forever, or solve every problem with perfect logic. Instead, the mind uses strategies, filters, and shortcuts. These limits are not merely weaknesses; they are also what make cognition efficient. Memory would be overloaded if every experience were stored with equal strength, and attention would be useless if it did not prioritise. Problem solving would be impossible if the mind did not simplify complex situations into manageable pieces.

2. Memory: Structure, Processes, and Theories

Memory is one of the most examined topics in cognitive psychology because it explains how people learn from the past and use that learning in the present. In PYC3703, memory is best understood as a multi-component process involving encoding, storage, and retrieval, rather than a single mental “container.” This section covers the major memory systems and the theories that help explain how they function.

The three-stage model of memory

A classic way to describe memory is through three stages:

Encoding – the initial processing of information.
Storage – retention of encoded material over time.
Retrieval – access to stored material when needed.

Encoding is influenced by attention, depth of processing, meaning, and rehearsal. Storage depends on how strongly information is consolidated, how often it is revisited, and how well it is integrated with prior knowledge. Retrieval depends on cues, context, and the quality of the memory trace.

A helpful example is learning a student number. First, the number must be attended to and encoded. If the student repeatedly reads it or says it aloud, some rehearsal occurs. If the number is meaningful, perhaps linked to an existing pattern, it is stored more effectively. Later, when asked to recall it, the person uses retrieval cues such as context, habit, or partial fragments of the number.

Sensory memory

Sensory memory briefly holds raw sensory input. It is very short-lived and has a large capacity. The main role of sensory memory is to preserve information long enough for the attentional system to decide whether it should be processed further.

There are two commonly discussed forms:

Iconic memory: visual sensory memory, lasting only a fraction of a second.
Echoic memory: auditory sensory memory, lasting slightly longer than iconic memory.

Sensory memory explains why the environment does not seem to disappear between moments of perception. For instance, when a fast-moving object passes in front of the eyes, one experiences continuity even though the visual system receives brief snapshots. Similarly, echoic memory helps people understand speech by holding the sound long enough for comprehension.

Short-term memory and working memory

Short-term memory was originally described as a temporary store with limited capacity. Later work emphasised that short-term memory is not just a passive container; it is part of working memory, a system that both stores and manipulates information.

A widely used view of working memory includes:

The phonological loop: processes verbal and auditory information.
The visuospatial sketchpad: handles visual and spatial information.
The central executive: directs attention, controls processing, and coordinates the subsystems.
The episodic buffer: integrates information across systems and links working memory with long-term memory.

Working memory is central to reasoning, language comprehension, mental arithmetic, and comprehension of complex instructions. A student trying to solve a multi-step statistics problem uses working memory to retain the formula, keep track of values, and avoid losing the sequence of operations. When working memory is overloaded, errors increase quickly.

Why capacity matters

A famous principle in cognitive psychology is that working memory capacity is limited. Although exact estimates vary depending on how capacity is measured, the important exam point is that people can only hold a small amount of information at once. This limitation affects note-taking, reading comprehension, and problem solving. Students often think they understand a concept until they are asked to manipulate it under time pressure, at which point limited working memory becomes obvious.

Long-term memory

Long-term memory refers to relatively durable storage that can last from hours to a lifetime. It is often divided into explicit and implicit memory.

Explicit memory

Explicit memory involves conscious recall of information and includes:

Episodic memory: memory for events and experiences.
Semantic memory: memory for facts, concepts, and general knowledge.

Episodic memory allows a person to remember attending a lecture, eating dinner yesterday, or receiving feedback on an assignment. Semantic memory includes knowing that psychology studies behaviour and mental processes or that Pretoria is the administrative capital of South Africa.

Implicit memory

Implicit memory influences behaviour without conscious recall. It includes:

Procedural memory: memory for skills and habits, such as typing or riding a bicycle.
Priming: prior exposure makes later processing easier.
Conditioning effects: learned associations influence response patterns.

A student may not consciously remember every step of typing, yet can still perform the skill automatically. This shows that memory is not one system but a family of systems with different functions.

How memory is organised

Two major questions in memory research are whether memory is stored in separate compartments or in distributed networks, and how information is organised for retrieval. Modern cognitive psychology generally supports the idea that memory involves associations and networks rather than isolated boxes. Concepts are linked by meaning, experience, and repetition. When one cue activates part of the network, related information becomes more accessible.

This is why reading a word such as “doctor” may activate related concepts like “hospital,” “nurse,” “patient,” or “medicine.” Such spreading activation helps explain fluency in recall but also helps explain false memory, where people remember related but unpresented information.

Theories of memory

Several theories are important in PYC3703.

Atkinson and Shiffrin’s multi-store model

This model proposes a sequence from sensory memory to short-term memory to long-term memory. Information enters through sensory registers, is attended to, and may be rehearsed in short-term memory before being stored long term. The model is useful because it highlights distinct stages and the importance of rehearsal.

However, it has limitations. It tends to present memory too linearly and underestimates the active processing involved in short-term memory. It also does not fully explain why some repeated information is still forgotten or why meaning matters so strongly.

Levels of processing theory

This theory argues that memory depends less on the “store” and more on how deeply information is processed. Shallow processing focuses on surface features such as appearance or sound, while deep processing focuses on meaning and elaboration. Deeply processed material is usually remembered better.

For example, a learner who merely repeats a definition may retain it briefly, while a learner who explains the definition in their own words, connects it to examples, and compares it to another theory is more likely to remember it. The theory is powerful because it explains why meaningful learning is superior to rote rehearsal.

Encoding specificity

According to this principle, retrieval is best when cues available at recall match those present during encoding. This helps explain why people sometimes remember an answer in the same context in which they learned it but struggle elsewhere. Contextual cues, emotional states, and semantic associations can all affect retrieval.

Constructive memory

Memory is not a perfect replay of the past. Instead, people reconstruct memories using fragments, expectations, and existing knowledge. This means that memory can be accurate in essence but inaccurate in detail. Constructive memory is particularly important in eyewitness testimony, where suggestion and expectation can distort what is recalled.

Forgetting and why it happens

Forgetting is often treated as failure, but in cognitive psychology it can reflect several different mechanisms:

Encoding failure: information was never processed deeply enough.
Decay: memory traces weaken over time if not used.
Interference: information competes with other information.
Retrieval failure: stored information cannot be accessed without proper cues.

Interference can be proactive, where older information disrupts new learning, or retroactive, where new information disrupts recall of older material. A learner who studies two similar modules may confuse concepts because one set of ideas interferes with another. Retrieval failure is also common; people may “know” an answer but fail to produce it under pressure, especially in exams or presentations.

Memory and the brain

Different brain systems support different kinds of memory. The hippocampus is strongly involved in forming new declarative memories, particularly episodic memories. The prefrontal cortex supports working memory, strategy selection, and retrieval monitoring. The amygdala influences emotional memory, especially when events are emotionally arousing. Damage to these systems can produce distinct memory deficits, which is why neuropsychology is crucial to memory research.

A classic clinical insight is that a person may have intact procedural memory but impaired episodic memory, or vice versa. This dissociation demonstrates that memory is modular and biologically grounded.

3. Attention: Selection, Capacity, and Control

Attention is the process by which the mind selects, concentrates on, and regulates information. It is the gatekeeper of cognition because only a small portion of incoming stimulation is processed in detail. Without attention, memory encoding weakens and problem solving becomes inefficient. In real life, attention allows people to focus on one voice in a noisy room, drive safely, study effectively, and switch tasks when needed.

Core functions of attention

Attention does several things at once:

selects relevant information,
suppresses irrelevant information,
sustains effort over time,
shifts flexibly between tasks,
and coordinates goal-directed behaviour.

These functions are not perfectly independent. A person who has difficulty sustaining attention may also struggle with memory because information is not maintained long enough for encoding. Likewise, a person who cannot control attention may be vulnerable to distraction and poor decision-making.

Selective attention

Selective attention refers to focusing on one source of input while ignoring others. The classic problem is that the environment contains more information than the brain can process at once. Therefore, attention acts as a filter.

A student listening to a lecturer while ignoring the sound of people outside the classroom is using selective attention. A driver focusing on the road while filtering out background music is another example. Selective attention is not total exclusion; unattended stimuli may still receive some processing, especially if they are emotionally salient or personally relevant.

Early and late selection

One debate in attention research concerns whether selection occurs early, before semantic processing, or later, after some meaning has already been analysed. In practice, the answer is not purely one or the other. Some information is filtered early due to physical characteristics, but meaningful or important signals can break through. This is why someone may notice their name in a noisy room even when not directly attending to the speaker.

Divided attention

Divided attention refers to attempting to process more than one task or stream of information at the same time. Many everyday activities require divided attention, such as cooking while monitoring a conversation or driving while navigating unfamiliar streets. However, the success of divided attention depends on task similarity, complexity, practice, and automaticity.

If two tasks both require conscious control, performance usually suffers. If one task is highly practised and automatic, divided attention becomes easier. This is why experienced typists can sometimes converse while typing, but novice typists cannot. The more a task relies on controlled processing, the more it competes for limited attentional resources.

Sustained attention

Sustained attention is the ability to maintain focus over time. This is essential for long lectures, reading a dense chapter, monitoring machinery, or completing an exam. Sustained attention declines with fatigue, boredom, stress, and prolonged task monotony.

A student may begin revision with strong concentration but lose focus after 20 or 30 minutes if no strategy is used. This is not simply laziness; the cognitive system naturally becomes less efficient under prolonged, repetitive demands. Breaks, goal-setting, and environmental control help preserve sustained attention.

Alternating and executive attention

Alternating attention involves switching focus between tasks or mental sets. Executive attention is associated with the control processes that manage conflict, inhibit distractions, and keep behaviour aligned with goals. These functions are especially important when tasks are demanding, ambiguous, or require self-regulation.

Executive attention is closely linked to the prefrontal cortex. It becomes visible when a person must resist an impulse, choose between competing responses, or adapt to changing instructions. For example, a student who wants to check a phone but returns to studying is using executive attention to inhibit distraction.

Theories and models of attention

Filter models

Early theories proposed that attention filters out unwanted information at an early stage. These models helped explain why unattended information is not usually processed in detail. Their limitation is that they often assume too rigid a filter. In reality, attention is more flexible and influenced by meaning, expectation, and context.

Attenuation theory

This theory proposes that unattended information is not blocked completely but weakened. Important information can still receive enough processing to reach awareness. This better explains how personally meaningful stimuli can be noticed despite distraction.

Capacity theories

Capacity theories argue that attention is a limited resource that can be allocated across tasks. Performance depends on how much capacity is available and how demanding the task is. This view is useful because it explains why dual-task performance varies. It also connects attention to motivation, arousal, and task complexity.

Feature integration theory

This theory proposes that basic features such as colour, shape, and orientation are processed separately and automatically, but attention is needed to bind them together into a coherent object. This helps explain search tasks and why feature-rich scenes can produce errors when attention is divided.

Attention and everyday errors

Many everyday mistakes are attention failures rather than memory failures. A person may forget where they placed keys, but the actual problem may be that they never fully attended to the action of putting them down. In this sense, attention is often the first stage of successful memory.

Common attention-related errors include:

overlooking information because of distraction,
missing a change in the environment,
failing to notice a sign or instruction,
switching tasks too quickly,
and making careless mistakes under time pressure.

These problems matter in driving, healthcare, studying, and workplace safety. A nurse distracted during a medication calculation, for example, may make a serious error not because of poor knowledge but because of divided attention and working-memory overload.

Attention and individual differences

Attention varies across individuals due to age, fatigue, stress, motivation, personality, and neurological condition. Children often struggle with sustained and executive attention because these systems are still developing. Older adults may experience reduced speed or difficulty dividing attention, although knowledge and compensatory strategies can remain strong. Anxiety can narrow attention toward threat, which may be useful in danger but harmful during exams. Sleep deprivation reduces vigilance, slows response time, and increases lapses.

These differences are essential in psychological interpretation because poor attention is not a single symptom. It may reflect overload, emotional strain, developmental stage, illness, or environmental distraction. Exam answers should therefore avoid oversimplifying attention as just “concentration.”

4. Problem Solving: Strategies, Obstacles, and Decision-Making

Problem solving is the cognitive process of finding a way to move from a current state to a desired state. It is a core human ability because everyday life constantly presents gaps between what is and what should be. Whether the task is academic, social, practical, or professional, problem solving requires understanding the situation, selecting a strategy, and evaluating the outcome.

What counts as a problem?

A problem exists when the path to a goal is not immediately obvious. Simple, routine tasks may not require problem solving because the solution is already known. More complex problems involve uncertainty, multiple steps, conflicting information, or incomplete knowledge.

Examples include:

choosing a study strategy when grades are poor,
deciding how to repair a broken appliance,
managing conflict in a group assignment,
working out a budget when income is limited,
or solving a psychological case study.

The key element is that the individual must transform the situation through mental operations rather than direct habit.

Problem representation

The way a problem is represented strongly affects the solution. Representation means the mental framing of the problem: what is seen as relevant, what is ignored, and what relationships are assumed. Poor representation can make a simple problem appear complex, while accurate representation can make a difficult problem easier.

For instance, if a learner views a statistics question only as a set of numbers, it may seem overwhelming. If the learner recognises the question as an application of a known formula, the problem becomes more manageable. Thus, many problem-solving failures are not due to inability but to a weak or mistaken representation.

Algorithms and heuristics

A major distinction in problem solving is between algorithms and heuristics.

Algorithms are systematic procedures that guarantee a solution if applied correctly.
Heuristics are mental shortcuts that are faster but may fail.

Algorithms are dependable but often slow and impractical in everyday life. Heuristics are efficient and useful under uncertainty, but they can produce bias and error. People often rely on heuristics because life rarely allows enough time or information for full algorithmic reasoning.

Examples

An algorithm is like following a mathematical formula step by step.
A heuristic is like using a rule of thumb, such as choosing the most familiar option or the most obviously useful clue.

The trade-off is central: algorithms maximise accuracy; heuristics maximise speed.

Means-end analysis

Means-end analysis is a strategy in which the solver identifies the difference between the current state and the goal state, then selects actions that reduce that difference. If an assignment is due and the student has not started, the goal is completion, and the means may include outlining, researching, drafting, and editing. Means-end analysis is useful because it breaks a large problem into smaller subproblems.

This strategy is common in both academic and everyday settings. However, it requires the ability to monitor progress and revise plans when obstacles occur. If one step does not work, the solver must create a new subgoal rather than staying stuck.

Working backward

Working backward begins with the goal and traces backward to the current state. This is useful when the goal state is clearly defined. In mathematics, logic puzzles, or route planning, backward reasoning can simplify the task. If one needs to reach a destination by 9:00, working backward may involve determining departure time, transport time, and preparation time.

This strategy is especially helpful when the end point is known but the route is uncertain. Its limitation is that it is less effective when the problem is ill-defined or when the goal itself is ambiguous.

Trial and error

Trial and error involves trying possible solutions until one works. It is common when the number of options is small or when the problem is simple. While inefficient for complex tasks, it remains important because many real-life skills are learned by experimentation.

For example, a student may try several ways of remembering material before discovering that flashcards, practice testing, and spaced repetition work best. Trial and error can also build insight over time by allowing the person to compare results and refine future attempts.

Insight problem solving

Insight occurs when the solution appears suddenly after a period of impasse. It often feels like an “aha” moment. Insight problems can require restructuring the problem representation rather than simply adding more effort. This is why some problems are solved after stepping away from them. The break may allow the mind to relax fixed assumptions and notice a new pattern.

Insight is not magic. It usually depends on prior knowledge, incubation, and flexible thinking. Still, it is important because not all problem solving is linear. Some solutions emerge after reframing the issue.

Obstacles to problem solving

Problem solving is often blocked by cognitive biases and mental habits.

Mental set

A mental set is the tendency to use a familiar strategy even when it is no longer the best one. While habitual strategies are efficient, they can prevent adaptation. A student who uses the same memorisation method for every subject may fail to adapt to conceptual learning tasks.

Functional fixedness

Functional fixedness is the tendency to see objects only in their usual function. This limits creativity. If a person sees a box only as storage rather than as a potential support or tool, they may miss a solution. Functional fixedness shows that knowledge can sometimes constrain thinking.

Confirmation bias

Confirmation bias is the tendency to seek information that confirms existing beliefs and ignore contradictory evidence. In problem solving, this can lead to premature conclusions. A learner who assumes that a poor grade means “I am bad at psychology” may ignore evidence that the real issue is ineffective study strategy.

Overconfidence and impulsivity

Some people rush toward a solution without adequate checking. Others become paralysed by perfectionism and avoid deciding at all. Both patterns interfere with problem solving. Effective cognition balances speed with evaluation.

Decision-making and problem solving

Decision-making is closely related to problem solving because choosing among alternatives is often part of solving a problem. Real-life decisions are rarely made with complete information. Therefore, people often use heuristics such as familiarity, representativeness, availability, or affect.

These shortcuts help conserve time and effort but can produce systematic error. For example, a student may believe that a topic is easy because it feels familiar after reading it once, only to discover during the exam that recognition is not the same as recall. This demonstrates why confidence should not be mistaken for competence.

Creativity in problem solving

Creative problem solving involves generating novel and useful solutions. Creativity is important when no standard answer exists or when existing solutions are inadequate. It depends on divergent thinking, flexibility, associative memory, and willingness to test unusual ideas.

A creative student may combine study methods, use visual mnemonics, or build examples that make abstract theories concrete. Creativity does not mean abandoning structure; rather, it means adapting structure intelligently. In psychology, creativity is especially valuable because many human problems are ambiguous, multi-layered, and resistant to routine solutions.

5. Integration, Applications, and Exam-Ready Revision Notes

Memory, attention, and problem solving should be understood as a connected system. Attention helps information enter memory, memory supplies stored knowledge for problem solving, and problem solving often depends on selective attention and working memory. When one process is weak, the others are affected. This integrated view is often what distinguishes a strong exam response from a descriptive but fragmented one.

How the three processes interact

A useful way to think about the relationship is sequential but interactive:

Attention selects input from the environment.
Memory encodes and stores the selected input.
Problem solving uses stored knowledge and current attention to move toward a goal.

In practice, the relationship is circular. Effective problem solving can improve memory because meaningful application deepens encoding. Memory can improve attention because familiar material requires less effort to process. Attention can improve problem solving because it keeps goals active and reduces distraction.

A student revising for PYC3703 might read a theory, summarise it, test recall, and apply it to a case study. During this process, attention is needed to focus, memory is used to retain the material, and problem solving occurs when the student answers an application question or chooses the best theory for a scenario.

Everyday and clinical applications

Education

In learning, memory research supports spacing, elaboration, retrieval practice, and meaningful organisation. Students remember more when they study across time rather than cramming, connect new ideas to existing knowledge, and test themselves instead of only rereading. Attention management is also vital: quiet study spaces, timed breaks, and clear goals help prevent overload.

Workplace and safety

In work environments, attention failures can have serious consequences. Pilots, drivers, healthcare workers, and machine operators all rely on sustained and selective attention. Memory aids such as checklists reduce error, while problem-solving training improves response to unexpected events. Many safety procedures exist because human attention is limited and fallible.

Clinical psychology and neuropsychology

Memory and attention impairments are common in many clinical conditions. Depression can reduce concentration and recall. Anxiety may narrow attention toward threat. ADHD often involves difficulty sustaining attention and regulating impulses. Dementia can weaken new learning and retrieval. Brain injury can produce specific deficits depending on the affected region. Neuropsychological assessment uses these patterns to understand functioning and guide intervention.

Daily life and digital environments

Modern technology creates new attention challenges. Notifications, multitasking, and rapid content switching fragment focus. People often believe they are multitasking well, but in reality they are switching rapidly, which costs time and accuracy. This matters because constant switching weakens deep processing and makes memory formation less reliable. Good digital habits, such as muting notifications during study, are cognitive strategies rather than mere lifestyle choices.

Common exam pitfalls

Students often lose marks on this topic for predictable reasons:

confusing short-term memory with working memory,
describing attention only as concentration without discussing selection or control,
treating problem solving as simple guesswork,
failing to distinguish algorithms from heuristics,
ignoring how memory and attention interact,
or giving examples without linking them to theory.

Avoiding these errors requires careful wording. For example, do not say “memory is stored in the brain like a filing cabinet” unless you then explain that the metaphor is limited. More precise language would note that memory involves distributed neural networks and active reconstruction.

Comparison table for revision

Topic	Core idea	Main function	Common difficulty
Sensory memory	Brief hold of sensory input	Preserves raw input long enough for attention	Extremely short duration
Working memory	Temporary storage plus manipulation	Supports reasoning and comprehension	Very limited capacity
Long-term memory	Durable storage system	Retains knowledge, experiences, and skills	Retrieval failure or interference
Selective attention	Focus on relevant input	Filters information	Distractibility
Sustained attention	Maintain focus over time	Supports long tasks	Fatigue and boredom
Problem solving	Moving from current to goal state	Resolves obstacles	Mental set and bias

How to structure a high-mark answer

For exam writing, a strong answer should be organised and conceptually accurate. A good structure is:

Start with a direct definition.
Explain the process or theory step by step.
Compare it with a related concept.
Add an example or case.
Conclude with significance or limitation.

For instance, if asked about working memory, define it, describe its components, explain why it is different from short-term memory, give an example from studying or reasoning, and conclude by noting its importance in complex cognition. If asked about problem solving, describe strategies such as means-end analysis, heuristics, and insight, then discuss barriers such as functional fixedness or mental set.

Final revision points by topic

Memory

Encoding, storage, retrieval are the core processes.
Working memory is active; short-term memory is not just passive storage.
Long-term memory includes episodic, semantic, and procedural knowledge.
Deep processing improves retention.
Forgetting can result from encoding failure, decay, interference, or retrieval problems.

Attention

Attention selects and regulates information.
Selective, divided, sustained, alternating, and executive attention are all important.
Attention is limited and vulnerable to distraction.
Automaticity reduces attentional demand.
Individual differences matter, especially in anxiety, fatigue, age, and clinical conditions.

Problem solving

Problem representation strongly shapes outcomes.
Algorithms are accurate but slow; heuristics are fast but error-prone.
Means-end analysis, working backward, trial and error, and insight are key strategies.
Mental set, functional fixedness, and confirmation bias can block solutions.
Creativity is often necessary for novel or ambiguous problems.

Integrated conclusion

Memory, attention, and problem solving form the backbone of human cognition. Attention determines what enters awareness, memory preserves and organises experience, and problem solving transforms knowledge into action. In academic settings, these processes determine whether a learner can concentrate, understand, remember, and apply material under pressure. In everyday life, they shape how people cope with complexity, make decisions, and adapt to change.

For UNISA PYC3703, the strongest answers do more than define terms. They show relationships, compare theories, apply concepts to real situations, and recognise limits as well as strengths. A student who can explain how attention affects encoding, how memory supports reasoning, and how problem-solving strategies can succeed or fail will be well prepared for both essay and short-answer questions.