Used and loved by millions

Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak quote

Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

MitStanfordHarvardAustralian Nationa UniversityNanyangOxford

career predictions

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "career predictions" is correct and usable in written English.
You can use it when discussing forecasts or expectations regarding someone's professional future or trends in a particular industry. Example: "Many experts are making career predictions for the upcoming decade, highlighting the rise of technology-related jobs."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

2 human-written examples

While early career predictions about Broad's future batting prowess may well have been optimistic and his heavy work rate with the ball over the years has given him less scope to work on it, few could have foreseen his dramatic decline.

News & Media

Independent

Elsie also found it was hard to make solid career predictions such as "become an assistant professor" or "get tenure".

Science & Research

Science Magazine

Human-verified similar examples from authoritative sources

Similar Expressions

58 human-written examples

Fig. 6 Career prediction & CoP construction.

The proposed model consists of three major modules: career readiness, career prediction and career development.

Towards this end, the career prediction module analyzes data from learners' profile and career disposition values in order to predict a hypothetical career practice and bring learners with similar career patterns together into a common cluster.

Section 'Community of practice apprenticeship model' presents the general framework of our proposed CoP apprenticeship model, while Section 'Fuzzy semi-supervised clustering algorithm' describes our proposed social learning analytics method for career prediction.

Thus, we introduce a CoP-based instructional model illustrated in Fig. 4 that consists of three major modules: 1) career readiness, 2) career prediction, and 3) career development as a driver to improve career readiness and enhance professional success opportunities of learners in higher education institutions.

In this paper, we focus on career prediction, which derives career readiness data analytics out of an institution-wide portal that stores a data warehouse about learners, along with individual learners' information which are structured into a career profile that includes attributes such as career interests and domain-related qualifications.

To enable this novel structure, we advocate three major modules: (1) career readiness, to assert professional dispositions, (2) career prediction to identify a domain of employment, and (3) career development that evolves into motivation and skills relevant to the predicted domain of practice.

This process provides the opportunity to create mentoring workflows to support a portfolio of assessments that gauge learners' progress across curricular instructions and their social and professional interactions in the industry-needs matching CoP they assigned to by career prediction process.

Well, have you thought about teaching?" A few weeks later, a careers prediction test told me I was destined to become either a cloakroom attendant or a lorry driver's assistant.

Show more...

Expert writing Tips

Best practice

When using "career predictions", ensure you specify the timeframe (e.g., "short-term career predictions") or the industry (e.g., "career predictions in tech") for greater clarity.

Common error

Avoid making broad, unsubstantiated "career predictions" without supporting data or analysis. Always base your predictions on trends, statistics, or expert opinions.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

87%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

"Career predictions" functions as a noun phrase. It refers to forecasts, projections, or expectations about future job opportunities and professional paths. As shown in Ludwig, it's commonly used to analyze trends and speculate on what the future holds for various careers.

Expression frequency: Common

Frequent in

Science

33%

News & Media

33%

Formal & Business

17%

Less common in

Encyclopedias

5%

Wiki

5%

Reference

5%

Ludwig's WRAP-UP

In summary, "career predictions" is a noun phrase used to describe forecasts or expectations about future career paths. Ludwig AI confirms that this phrase is grammatically correct and usable in written English and is commonly used across various contexts, including science and news media. While several sources are used, this analysis suggests that the phrase is most common in scientific publications and news articles, and less common in encyclopedias or wikis. When using this term, it's important to provide specific context to avoid overgeneralizations, making sure the predictions are based on reliable data and expert analysis.

FAQs

How can I use "career predictions" in a sentence?

You can use "career predictions" to discuss forecasts about future job opportunities or career paths. For example: "Many experts are making "career predictions" for the next decade, highlighting growth in tech-related fields."

What are some alternatives to "career predictions"?

Some alternatives include "job market forecasts", "employment outlook", or "professional trajectory forecasts" depending on the specific context.

What factors influence the accuracy of "career predictions"?

The accuracy of "career predictions" is influenced by economic trends, technological advancements, and educational policies. Unforeseen events can also significantly alter predicted outcomes.

Where can I find reliable "career predictions"?

Reliable "career predictions" can often be found in reports from reputable consulting firms, government agencies, and academic research institutions.

ChatGPT power + Grammarly precisionChatGPT power + Grammarly precision
ChatGPT + Grammarly

Editing plus AI, all in one place.

Stop switching between tools. Your AI writing partner for everything—polishing proposals, crafting emails, finding the right tone.

Source & Trust

87%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Most frequent sentences: