AI+ college entrance examination voluntary report, is it technology empowerment or IQ tax?

Original source: Dowhale

Image source: Generated by Unbounded AI‌

With the announcement of the college entrance examination scores in various provinces, college entrance examination volunteering has become a "big event in life" at this stage. The advent of artificial intelligence has had a profound impact on the market for college entrance examination volunteers. So what kind of industry situation does AI volunteering present, and what is the attitude of parents towards AI college entrance examination volunteering? Is it reliable to use the currently popular ChatGPT to assist in filling out the college entrance examination volunteers? What is the market situation for volunteers to fill in the college entrance examination?

AI fills in volunteers and has a wide range of money, and parents' anxiety can be resolved with technology

With the start of voluntary reporting for the college entrance examination, many parents are in a state of anxiety. After the implementation of the new college entrance examination in Shandong, they need to fill in 96 volunteers, which invisibly intensifies the difficulty of voluntary application and the risk of slipping. AI big data will undoubtedly become an important reliance for parents to help their children complete voluntary declarations. Instead of flipping through books to choose a suitable major from a large number of schools, it is better to use AI to directly generate a volunteer list related to your own scores and major preferences. Of course, many parents and students choose to believe in big data, which is also a manifestation of the phenomenon of following suit under the upsurge of public opinion.

At present, there are many high-reporting agencies and college entrance examination planners emerging in the market to use AI at high prices to fill in voluntary reports. In addition to big data that can effectively recommend college entrance examination volunteers, the vastness of **"Qian Jing" is also the way for companies to lay out this track. important reason. **Titanium Media statistics show that 88.3% candidates are willing to spend money for voluntary reporting, and the proportion of candidates who are unwilling to pay for voluntary reporting only accounts for about 10%. Therefore, major companies such as Baidu, Ali, and Netease have also begun to "test the water" AI voluntary reporting services.

Baidu is the first major company to enter the college entrance examination voluntary application service. As early as July 2020, it launched the "AI Volunteer Assistant". In June this year, services such as online score checking, voluntary reporting, and admission inquiry were launched, and the layout was gradually comprehensive. With the in-depth research and development of Baidu's intelligent technology, the reporting system has achieved unprecedented optimization, covering almost the scenarios that may be involved in the college entrance examination volunteering.

Tencent launched the "New College Entrance Examination Pass" applet based on big data and algorithm technology. With the support of massive user data and complete AI algorithm, it provides candidates with a more scientific basis for applying for the exam and achieves more intelligence and individuality. Customized reporting service.

**The most popular this year is the voluntary reporting service for the college entrance examination launched by Alibaba's smart search app Quark. **Many parents and students follow the trend and hand over the decision to fill in the college entrance examination to the AI on Quark. The voluntary reporting on Quark is divided into two types: "school priority" and "professional priority"; the filling suggestions are divided into "impactable" (probability of about 50%), "safer" (about 70%), and "guaranteed" ( 90% or more) in three grades, each with dozens or hundreds of colleges and universities to choose from.

Netease Youdao launched Youdao Lingshi voluntary reporting system based on AI technology, which mainly includes service modules such as checking schools, checking majors, and making assessments. Among them, the voluntary service includes **university priority filling, major priority filling and admission probability calculation, **this largely provides volunteers with multiple paths to choose from.

(Image source: Compliance Technology Research)

ChatGPT Is it reliable to fill in the college entrance examination volunteer

The reason why AI voluntary reporting is hot this year is due to the recent popularity of large AI language models, which makes people mistakenly think that voluntary reporting for the college entrance examination will be like a large language model, input scores and intentions, and AI can directly help you generate the final result. Volunteer checklist. How did it actually work out? Will ChatGPT have the imagined "excellence"? Can customized professional generation be realized? Let's experiment with ChatGPT.

First use ChatGPT 3.5 to have a conversation based on scores, subject selection, recommended colleges and majors. This time, Shandong candidates were selected, with a score of 566, and the subjects selected were chemistry, biology, and politics.

By talking to ChatGPT, it can be seen that its recommendations are not as good as expected. According to the past situation and the analysis of professional big data software for college entrance examination volunteers, Shandong’s 566 points cannot reach the threshold of 985 colleges and universities such as Communication University of China, East China Normal University, and Xiamen University. The school recommendation level does not have reference value and cannot be adopted and applied for. There is a greater risk of slippage.

At the level of professional recommendation, it has reference value. Students can check and choose which related majors can apply for the exam according to their own advantages. And you can further communicate with ChatGPT about your favorite major.

Next, ask how ChatGPT's different majors compare. When choosing between clinical medicine and traditional Chinese medicine, ask ChatGPT for advice.

Through communication, ChatGPT can give you a certain direction of consideration when you face the dilemma of choosing a major. It will provide future professional learning direction and employment prospects, etc., and conduct self-evaluation through multi-level suggestions, and choose a major that is more suitable for your own development plan and interests.

If you want to compare different majors in the same university, can ChatGPT effectively analyze the pros and cons?

It can be seen that ChatGPT can analyze the advantages and disadvantages of clinical medicine majors in different schools from the perspective of school reputation, clinical resources, and regional climate. Other majors can also be enquired. It can assist candidates in comprehensive evaluation, and its suggestions can be referred to when selecting schools for specific majors.

In terms of predicting the future employment situation of related majors, **ChatGPT can predict the future employment situation of related majors from the general direction and trend. **

Zhang Xuefeng, a career planner, said that it is not recommended to study clinical medicine because it takes a long time. The so-called "persuading people to study medicine will be struck by lightning", the entire study period is at least 10 years, and the psychological pressure may be great. However, clinical medicine is considered to have a relatively high employment rate among university majors. This considers more human elements than AI.

How will the restrictions on the selection of subjects in Shandong Province affect the application for majors? **ChatGPT has given relevant answers, but they are not accurate and detailed enough. **You should also refer to the provincial education examination institute's restrictions on the selection of relevant majors when applying for volunteers.

The scale of payment is 950 million yuan, and the market for college entrance examination volunteers is growing wildly

The future model of voluntary reporting service is “artificial + intelligence”. Artificial mainly takes advantage of its "warmth". During the service process, the teacher perceives the family's educational cognition, economic strength, and the child's IQ, EQ, and adverse quotient through contact, and puts forward directional suggestions for cities, schools, and majors based on the scores. However, manual counseling also has the disadvantage of low efficiency. For example, many counseling teachers often need to answer questions from parents and students all night.

Based on this, the combination of "artificial and intelligent" can reduce repetitive and data-based labor, thereby helping students to efficiently match their volunteers. The tool-based college entrance examination volunteer application APP is like an intelligent electronic dictionary, which is more useful in assisting decision-making and solving information gaps. It can quickly conduct intelligent classification and retrieval of massive information, that is, Massive information is scaled down according to cities, regions, hobbies, majors, etc., allowing users to find hundreds of schools and majors that are suitable for them and can be filled in from tens of thousands of professional groups of colleges and universities.

The huge demand has spawned a market for voluntary reporting services. According to the iiMedia Consulting report, in 2022, the Chinese college entrance examination voluntary market payment scale is 880 million yuan, and the market payment scale in 2023 is expected to reach 95 million yuan. In the future, as the number of college entrance examination admissions increases year by year, the scale of the college entrance examination fee-paying market will continue to grow.

According to the official data released by Qichacha, before 2021, the number of registrations of companies related to college entrance examination volunteers in my country will increase year by year. From 2016 to 2021, my country will add 107, 134, 169, 304, 518, and 720 companies related to college entrance examination volunteers. I searched for "voluntary reporting" on Tianyancha, and found that there are more than a thousand software copyright registrations, trademarks, and patent applications.

** Behind the booming and lucrative voluntary reporting service market is highlighting the brutal growth of the industry. **This situation makes the supply of truly experienced career planners in short supply, and the level of practitioners varies. At present, there are widespread problems in the industry, such as inaccurate policy interpretation, untrue information, irregular fee collection, and even fraud, which makes candidates and parents feel very worried.

Some so-called "volunteer planners" in the market are actually social personnel recruited temporarily, and they can work on the job after only a few days of simple training. It is worth noting that some of the self-proclaimed "volunteer experts" have not even received a college education, and only rely on the "lines" trained by the headquarters to guide candidates and parents. Behind this "precise reporting" is actually the "precise harvesting" of information asymmetry between candidates and parents.

"Seven points depend on scores, and three points are voluntary." How to choose the most suitable university based on your own scores without losing points has become a matter of anxiety for many candidates and parents. However, you should not be blind when you are anxious. Faced with industry problems, it is not to say "no" to AI college entrance examination volunteers. Instead, let AI big data become an assistant, effectively return to one's own career planning, and finally choose the ideal "ivory tower" based on various factors. **AI college entrance examination voluntary report should not only focus on its "business" attribute, but also pay attention to its responsibility attribute related to the future of students. **