Becoming an expert in any field isn’t just about putting in the hours; it’s a blend of disciplined commitment and creative energy. The reading passage “From A Novice To An Expert” guides readers through three stages of competence: Novice, Journeyman, and Expert. With its clear comparative structure, this passage tests your ability to categorize information (Flowchart) and identify the author’s perspective (True/False/Not Given). In this article, ECE provides a full translation and a logical breakdown of the answers, helping you not only understand the text but also develop a systematic approach to solving these types of questions.
Reading Passage
FROM A NOVICE TO AN EXPERT
Expertise is commitment coupled with creativity. Specifically, it is the commitment of time, energy, and resources to a relatively narrow field of study and the creative energy necessary to generate new knowledge in that field. It takes a considerable amount of time and regular exposure to a large number of cases to become an expert.
A. An individual enters a field of study as a novice. The novice needs to learn the guiding principles and rules of a given task in order to perform that task. Concurrently, the novice needs to be exposed to specific cases, or instances, that test the boundaries of such heuristics. Generally, a novice will find a mentor to guide her through the process. A fairly simple example would be someone learning to play chess. The novice chess player seeks a mentor to teach her the object of the game, the number of spaces, the names of the pieces, the function of each piece, how each piece is moved, and the necessary conditions for winning or losing the game.
B. In time, and with much practice, the novice begins to recognize patterns of behavior within cases and, thus, becomes a journeyman. With more practice and exposure to increasingly complex cases, the journeyman finds patterns not only with cases but also between cases. More importantly, the journeyman learns that these patterns often repeat themselves over time. The journeyman still maintains regular contact with a mentor to solve specific problems and learn more complex strategies. Returning to the example of the chess player, the individual begins to learn patterns of opening moves, offensive and defensive game-playing strategies, and patterns of victory and defeat.
C. When a journeyman starts to make and test hypotheses about future behavior based on past experiences, she begins the next transition. Once she creatively generates knowledge, rather than simply matching superficial patterns, she becomes an expert. At this point, she is confident in her knowledge and no longer needs a mentor as a guide – she becomes responsible for her own knowledge. In the chess example, once a journeyman begins competing against experts, makes predictions based on patterns, and tests those predictions against actual behavior, she is generating new knowledge and a deeper understanding of the game. She is creating her own cases rather than relying on the cases of others.
The Power of Expertise
D. An expert perceives meaningful patterns in her domain better than non-experts. Where a novice perceives random or disconnected data points, an expert connects regular patterns within and between cases. This ability to identify patterns is not an innate perceptual skill; rather it reflects the organization of knowledge after exposure to and experience with thousands of cases. Experts have a deeper understanding of their domains than novices do and utilize higher-order principles to solve problems. A novice, for example, might group objects together by color or size, whereas an expert would group the same objects according to their function or utility. Experts comprehend the meaning of data and weigh variables with different criteria within their domains better than novices. Experts recognize variables that have the largest influence on a particular problem and focus their attention on those variables.
E. Experts have better domain-specific short-term and long-term memory than novices do. Moreover, experts perform tasks in their domains faster than novices and commit fewer errors while problem-solving. Interestingly, experts go about solving problems differently than novices. Experts spend more time thinking about a problem to fully understand it at the beginning of a task than do novices, who immediately seek to find a solution. Experts use their knowledge of previous cases as a context for creating mental models to solve given problems.
F. Better at self-monitoring than novices, experts are more aware of instances where they have committed errors or failed to understand a problem. Experts check their solutions more often than novices and recognize when they are missing information necessary for solving a problem. Experts are aware of the limits of their domain knowledge and apply their domain’s heuristics to solve problems that fall outside of their experience base.
The Paradox of Expertise
G. The strengths of expertise can also be weaknesses. Although one would expect experts to be good forecasters, they are not particularly good at making predictions about the future. Since the 1930s, researchers have been testing the ability of experts to make forecasts. The performance of experts has been tested against actuarial tables to determine if they are better at making predictions than simple statistical models. Seventy years later, with more than two hundred experiments in different domains, it is clear that the answer is no. If supplied with an equal amount of data about a particular case, an actuarial table is as good, or better, than an expert at making calls about the future. Even if an expert is given more specific case information than is available to the statistical model, the expert does not tend to outperform the actuarial table.
H. Theorists and researchers differ when trying to explain why experts are less accurate forecasters than statistical models. Some have argued that experts, like all humans, are inconsistent when using mental models to make predictions. A number of researchers point to human biases to explain unreliable expert predictions. During the last 30 years, researchers have categorized, experimented, and theorized about the cognitive aspects of forecasting. Despite such efforts, the literature shows little consensus regarding the causes or manifestation of human bias.
Questions
Complete the flow chart.
Choose NO MORE THAN THREE WORDS from the passage for each answer.
Write your answers in boxes 14-18 on your answer sheet.
From a novice to an expert
| Novice: ↓ |
needs 14 and to perform a given task; exposed to specific cases; guided by a 15 through learning starts to identify 16 within and between cases; |
| Journeyman ↓ |
often exposed to 17 cases; contacts a mentor when facing difficult problems Create predictions and new 18 ; |
| Expert | performs task independently without the help of a mentor |
Questions 19-23
Do the following statements agree with the information given in Reading Passage 2?
In boxes 19-23 on your answer sheet, write:
TRUE if the statement is true
FALSE if the statement is false
NOT GIVEN if the information is not given in the passage
Check answers
Questions 24-26
Complete the following summary of the paragraphs of Reading Passage 2.
Using NO MORE THAN TWO WORDS from the Reading Passage for each answer.
Write your answers in boxes 24-26 on your answer sheet.
Check answers
Though experts are quite effective at solving problems in their own domains, their strengths can also be turned against them. Studies have shown that experts are less 24 at making predictions than statistical models. Some researchers theorise it is because experts can also be inconsistent like all others. Yet some believe it is due to 25 , but there isn’t a great deal of 26 as to its cause and manifestation.
Full Reading Translation
From a Novice to an Expert
Expertise is commitment coupled with creativity. Specifically, it is the commitment of time, energy, and resources to a relatively narrow field of study and the creative energy necessary to generate new knowledge in that field. It takes a considerable amount of time and regular exposure to a large number of cases to become an expert.
A. An individual enters a field of study as a novice. The novice needs to learn the guiding principles and rules of a given task in order to perform that task. At the same time, the novice needs to be exposed to specific cases or examples to test the boundaries of those heuristics. Generally, a novice will find a mentor to guide them through the process. A fairly simple example is someone learning to play chess. A novice chess player seeks a mentor to teach them the object of the game, the number of squares, the names of the pieces, the function of each piece, how to move them, and the necessary conditions for winning or losing.
B. Over time and with much practice, the novice begins to recognize patterns of behavior within cases and thus becomes a journeyman. With more practice and exposure to increasingly complex cases, the journeyman finds patterns not only within cases but also between them. More importantly, the journeyman learns that these patterns often repeat over time. The journeyman still maintains regular contact with a mentor to solve specific problems and learn more complex strategies. Returning to the chess example, the individual begins to learn patterns of opening moves, offensive and defensive strategies, as well as patterns of victory and defeat.
C. When a journeyman starts to make and test hypotheses about future behavior based on past experiences, they begin the next transition. Once they creatively generate knowledge, rather than simply matching superficial patterns, they become an expert. At this point, they are confident in their knowledge and no longer need a mentor as a guide – they become responsible for their own knowledge. In the chess example, once a journeyman begins competing against experts, makes predictions based on patterns, and tests those predictions against actual behavior, they are generating new knowledge and a deeper understanding of the game. They are creating their own cases rather than relying on the cases of others.
The Power of Expertise
D. An expert perceives meaningful patterns in their domain better than non-experts. While a novice perceives random or disconnected data points, an expert connects regular patterns within and between cases. This ability to identify patterns is not an innate perceptual skill; rather, it reflects the organization of knowledge after exposure to and experience with thousands of cases. Experts have a deeper understanding of their domains than novices and use higher-order principles to solve problems. For example, a novice might group objects together by color or size, while an expert would group the same objects according to their function or utility. Experts understand the meaning of data and weigh variables with different criteria within their domains better than novices. Experts recognize the variables that have the largest influence on a particular problem and focus their attention on those variables.
E. Experts have better domain-specific short-term and long-term memory than novices. Moreover, experts perform tasks in their domains faster and make fewer errors while problem-solving. Interestingly, experts solve problems differently than novices. Experts spend more time thinking about a problem to fully understand it at the beginning of a task, whereas novices immediately seek to find a solution. Experts use their knowledge of previous cases as a context for creating mental models to solve given problems.
F. Being better at self-monitoring than novices, experts are more aware of instances where they have committed errors or failed to understand a problem. Experts check their solutions more often than novices and recognize when they are missing information necessary for solving a problem. Experts are aware of the limits of their domain knowledge and apply their domain’s heuristics to solve problems that fall outside their experience base.
The Paradox of Expertise
G. The strengths of expertise can also be weaknesses. Although one would expect experts to be good forecasters, they are not particularly good at making predictions about the future. Since the 1930s, researchers have been testing the ability of experts to make forecasts. The performance of experts has been tested against actuarial tables to determine if they are better at making predictions than simple statistical models. Seventy years later, with more than two hundred experiments in different domains, the answer is clearly no. If supplied with an equal amount of data about a particular case, a statistical table is as good as, or better than, an expert at making calls about the future. Even if an expert is given more specific case information than is available to the statistical model, they do not tend to outperform the actuarial table.
H. Theorists and researchers differ when trying to explain why experts are less accurate forecasters than statistical models. Some argue that experts, like all humans, are inconsistent when using mental models to make predictions. Some researchers point to human biases to explain unreliable predictions. Over the last 30 years, researchers have categorized, experimented, and theorized about the cognitive aspects of forecasting. Despite such efforts, the literature shows little consensus regarding the causes or manifestation of human bias.
Academic Vocabulary Summary
| Word | Part of Speech | Meaning | Example in Text |
| Expertise | Noun | Expert skill or knowledge | “Expertise is commitment coupled with creativity.” |
| Novice | Noun | A beginner | “An individual enters a field of study as a novice.” |
| Journeyman | Noun | A skilled worker | “…the novice begins to recognize patterns… becomes a journeyman.” |
| Heuristics | Noun | Practical problem-solving methods | “…test the boundaries of such heuristics.” |
| Patterns | Noun | Recurring trends or models | “…identify patterns is not an innate perceptual skill.” |
| Utility | Noun | Usefulness | “…according to their function or utility.” |
| Self-monitoring | Noun | Self-awareness of one’s performance | “Better at self-monitoring than novices…” |
| Forecasters | Noun | People who predict the future | “…experts to be good forecasters…” |
| Actuarial tables | Noun | Statistical tables used for risk/prediction | “…tested against actuarial tables…” |
| Inconsistent | Adj | Not staying the same | “…experts… are inconsistent when using mental models.” |
| Bias | Noun | Prejudice or inclination | “…point to human biases to explain unreliable predictions.” |
| Consensus | Noun | General agreement | “…the literature shows little consensus…” |
Detailed Answer Key
14. guiding principles: (Paragraph A) “The novice needs to learn the guiding principles and rules…”.
15. mentor: (Paragraph A) “Generally, a novice will find a mentor to guide her…”.
16. patterns / patterns of behavior: (Paragraph B) “the novice begins to recognize patterns of behavior within cases…”.
17. complex: (Paragraph B) “With more practice and exposure to increasingly complex cases…”.
18. knowledge: (Paragraph C) “Once she creatively generates knowledge… she becomes an expert.”
19. FALSE: The question suggests they use the same system. Paragraph D contradicts this: novices group by color/size, while experts group by function/utility (different systems).
20. NOT GIVEN: Paragraph E mentions that experts have better memory than novices, but it never states that a novice’s training is “focused” on memory skills.
21. TRUE: Higher efficiency = faster and fewer errors. Paragraph E confirms experts perform tasks “faster than novices” and “commit fewer errors”.
22. TRUE: Paragraph E states: “…novices, who immediately seek to find a solution” (contrasted with experts who spend time thinking carefully at the start).
23. TRUE: Paragraph F confirms experts are “better at self-monitoring” and “more aware of instances where they have committed errors”.
24. accurate: (Paragraph H) “explain why experts are less accurate forecasters than statistical models.”
25. human bias(es): (Paragraph H) “researchers point to human biases to explain unreliable expert predictions.”
26. consensus: (Paragraph H) “the literature shows little consensus regarding the causes…”
The world of science and knowledge is full of fascinating paradoxes, and the reading passage “From A Novice To An Expert” has helped us open a new perspective on how great discoveries are born. In IELTS Reading, sometimes “luck” won’t help you score points, but thorough preparation in vocabulary and the ability to locate information will. Hopefully, this detailed breakdown has motivated you to continue exploring the vast treasure trove of knowledge for this exam. Stay curious and turn every exercise into an exciting journey of discovery!
Khai giảng Khóa học Hè cực HOT.
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