The graph below shows the number of male and female students studying IT at university from 1985–2015. Summarize the information by selecting and reporting the main features and make comparisons where relevant.
The line graph compares male and female students in terms of how many of them learned IT at university in a 30-year period, starting from 1985. Overall, it can be seen that both girls and boys focused on the IT field over the given period.
Turning to details, 5,000 male students studied IT course in 1985. In the next 10 years, IT subjects became more popular among university students, and from 1995 to 2005, about 30,000 students enrolled in IT. However, the number of students who studied IT at university rose more slowly than in previous years, and in 2015, the students’ number in IT reached 40,000.
The study of IT among females showed 1,000 in 1985 and this rose at a slow pace till 1990. However, the figure of girls, who studied IT, soared from 3,000 to 20,000, between 1990 and 2005. In addition in 2005, male and female students’ indexes converged, indicating similar trends in studying IT. The participation girls climbed gradually until 2010, but, until 2015, this marked the first downward trend in the graph.
The number of female and male students differed by 4,000 students at the beginning of the graph, but by the end of the graph, the difference between them reached 10,000.
The essay presents information in a structured manner but lacks clear connections between some points. Transitions between ideas are not always smooth.
Suggestions
- Use more linking words to connect ideas.
- Ensure each paragraph has a clear focus.
- Improve the flow between sentences.
The essay uses a range of vocabulary, but some words and phrases are repetitive or imprecise.
The essay demonstrates a good range of grammatical structures, but contains some awkward phrasing and minor errors.
The essay addresses the task and provides a general overview of the trends. However, it lacks detailed analysis and some comparisons could be more precise.
Suggestions
- Include more specific data points to support observations.
- Make clearer comparisons between male and female trends.
- Provide a more detailed analysis of the trends.