This statistic depicts the market size of after-school tutoring worldwide in 2014 and 2017 and gives a projected value for 2022. In 2022, it is predicted that after-school tutoring will have a global market size of *** million U.S. dollars.

yashmahe2018/math-tutor-data dataset hosted on Hugging Face and contributed by the HF Datasets community

towardsai-tutors/buster-ai-tutor-data-csv dataset hosted on Hugging Face and contributed by the HF Datasets community

In a study conducted among grade 9 students of Bantayan National High School, Tabaco City, Albay Philippines, about **** percent of the peer-tutored group gained a mastery level in mathematics in January 2020. In contrast, the non-peer tutored groups have achieved a low mastery level in Mathematics.

Market Size statistics on the Online Tutoring Services industry in the US

Abstract

We use data from a large Randomized Control Trial to evaluate the impact of Mobile Pedagogical Tutors on the education outcomes of students in 3rd to 6th grade in a community-based schooling model in rural Mexico, where the regular instructors are low educated non-professionals from the community. The mobile tutors devote their time providing a) pedagogical support to the instructors, b) one to one tutoring to the students lagging behind and c) home visits to parents. The pilot was started in Fall 2014 and we collected survey data two years after the program inception (Spring 2016), to study the program's impact on student assessments, parent reported measure of socio-emotional well-being, as well as data on the mediating factors including student effort, parental involvement and pedagogical practices. We complement survey data with administrative data on transitions from primary to secondary.

Analysis unit

There are different units on analysis: 1) Student level data 2) Household level data 3) Teacher level data 4) Mobile tutor level data

Kind of data

Sample survey data [ssd]

Sampling procedure

230 schools were randomly sampled from the 243 schools initially provided by CONAFE as schools that had never received the mobile tutor program until the school year 2013. 9 schools were used as potential substitutes. The survey firm detected that 6 schools were no longer working at the time of the survey (Spring 2016)

Mode of data collection

Computer Assisted Personal Interview [capi]

Response rate

2217 students were initially identified as the total enrollment in the 224 schools that were visited. 1965 could be surveyed in order to conduct the cognitive tests EGRA and EGMA

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According to online tutoring industry statistics, APAC was identified as the largest consumer of online tutoring. The online tutoring market research report considers consumption patterns of several regions including APAC, Europe, North America, South America, and MEA to present a clear picture of the demand of the product globally during the forecast period 2020-2024.

The online tutoring market report also provides several other key information including:

CAGR of the market during the forecast period 2020-2024
Detailed information on factors that will drive online tutoring market growth during the next five years
Precise estimation of the online tutoring market size and its contribution to the parent market
Accurate predictions on upcoming trends and changes in consumer behavior
The growth of the online tutoring market industry across APAC, Europe, North America, South America, and MEA
A thorough analysis of the market’s competitive landscape and detailed information on vendors
Comprehensive details of factors that will challenge the growth of online tutoring market vendors

The statistic shows the number of full-time tutors at universities in China between 2012 and 2022. In 2022, around **** million full-time tutors were employed at universities in China.

This statistic shows the share of parents in various countries who have paid or would consider paying for additional tutoring for their child in 2015. In 2015, 74 percent of parents in China have paid for additional tutoring while a further 19 percent have not but would consider doing so.

Financial overview and grant giving statistics of Tutor Smart

Abstract: Introduction: Problem-Based Learning involves the tutor acting as a facilitator, where social and cognitive congruence, as well as knowledge of the content are considered essential factors for the exercise. Objective: To verify tutors’ domains of competency and their correlation to student performance. Method: Cross-sectional study conducted between February 2016 and 2017, with tutors and medical students from the Pernambuco School of Health. Correspondence analysis based on Spearman’s correlation coefficient was used to ascertain the correlation between the tutor domains of competency profile and the overall performance. Results: The study included 34 tutors and 533 students, three domains of competency were identified within the frequencies: cognitive congruence in 88.7%, social congruence in 93.6% and content knowledge in 98.9%. No correlation was found between the domains of competency and performance. Conclusion: This finding is thought to be due to the lack of control of confounding variables.

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Private Tutoring Market Size 2025-2029

The private tutoring market size is forecast to increase by USD 124.9 million, at a CAGR of 11.8% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing emphasis on Science, Technology, Engineering, and Mathematics (STEM) education. Parents and students recognize the value of individualized attention and customized learning plans, leading to a surge in demand for private tutors. Another key trend shaping the market is the availability of open-source educational materials, enabling tutors to tailor their instruction to meet the unique needs of each student. However, the market faces challenges as well. One significant obstacle is the competition from free online resources and educational applications, putting pressure on tutors to differentiate their services. Additionally, the need for continuous professional development and staying updated with the latest teaching methodologies poses a challenge for tutors to maintain their expertise and competitiveness. To capitalize on the opportunities and navigate these challenges effectively, tutoring companies must focus on providing personalized, high-quality services and continuously innovating to stay ahead of the competition.

What will be the Size of the Private Tutoring Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free SampleThe market continues to evolve, with dynamic market trends shaping its various sectors. Adaptive and blended learning approaches are increasingly popular, as they cater to the unique needs of each student. Standardized test prep, including Gre, Lsat, Mcat, SAT, and Act, remains a significant market segment, with subscription models offering flexible learning plans. Subject-specific tutoring, from math and science to humanities, is in demand, with independent contractors providing expertise based on their experience level. Online learning platforms facilitate scheduling tools and parent communication, enhancing academic achievement. Intellectual property rights and student data security are crucial concerns, with tutoring software ensuring progress tracking and secure data storage. Tutor retention and lesson planning are essential for effective instruction, with contract negotiation and customer acquisition cost shaping the business landscape. Virtual classrooms and video conferencing enable in-person tutoring experiences in an online format, while instructional materials and assessment tools provide valuable resources. Background checks and teacher certifications ensure quality, with liability protection and hourly rates varying based on expertise. Personalized learning and payment processing streamline the tutoring experience, while marketing and advertising strategies attract new clients. Referral programs and college admissions consulting further expand the market's reach. Differentiated instruction and interactive whiteboards enhance student engagement, while curriculum development and lead generation tools support business growth. Online tutoring agencies offer a centralized solution, connecting students with qualified tutors and managing administrative tasks. The ongoing unfolding of market activities reveals evolving patterns in the private tutoring industry.

How is this Private Tutoring Industry segmented?

The private tutoring industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. TypeOnlineBlendedClassroom-basedMethodCurriculum-based learningTest preparationApplicationUp-to-K-12Post-K-12GeographyNorth AmericaUSCanadaEuropeFranceGermanyUKAPACChinaIndiaJapanSouth KoreaSouth AmericaBrazilRest of World (ROW)

By Type Insights

The online segment is estimated to witness significant growth during the forecast period.The market encompasses various offerings, including adaptive learning, blended learning, and standardized test prep for exams like GRE, LSAT, MCAT, SAT, and ACT. Companies cater to subject-specific tutoring, hiring independent contractors with diverse experience levels. Online learning platforms are increasingly popular, enabling student-teacher interaction through virtual classrooms and video conferencing. Parent communication is prioritized for academic achievement, while student retention is ensured through personalized lesson planning and progress tracking. Incorporating educational technology, such as instructional materials, assessment tools, and interactive whiteboards, enhances learning outcomes. Background checks and teacher certifications ensure quality, while liability protection and payment processing streamline business operations. Curriculum development and lead generation are essent

This dataset contains 274 rows corresponding to the 274 learners participating in a 3x4 study where participants were randomly assigned to one of three mathematics hint conditions (ChatGPT, Human tutor, No hints) and one of four lessons from OpenStax Elementary Algebra, Intermediate Algebra, College Algebra, or Statistics textbooks. Participants were recruited from Mechanical Turk. Columns of the dataset contain the anonymous userID of the participants (anonUserID), the lesson they were assigned to, the hint condition they were assigned to, their percent correct on a three-item preTest and postTest, the sessionTime in seconds, the number of total questions answered (3 pre test + 5 condition + 3 post test), and the learningGain (post-test - pre-test).

Financial overview and grant giving statistics of Mr Ts Math Tutoring

A substantial body of experimental evidence demonstrates that in-person tutoringprograms can have large impacts on K-12 student achievement. However, suchprograms typically are costly and constrained by a limited local supply of tutors. Inpartnership with CovEducation (CovEd), we conduct a pilot program that has potentialto ease both of these concerns. We conduct an experiment where volunteer tutorsfrom all over the country meet 1-on-1 with middle school students online during theschool day. We find that the program produces consistently positive (0.07σ for mathand 0.04σ for reading) but statistically insignificant effects on student achievement.While these estimates are notably smaller than those found in many higher-dosagein-person tutoring programs, they are from a significantly lower-cost program thatwas delivered within the challenging context of the COVID-19 pandemic. We provideevidence that is consistent with a dosage model of tutoring where additional hoursresult in larger effects. Response Rates: The school has over 900 students. At the time of the experiment, 477 of these chose to attend school in-person. All were eligible for participation in the experiment and were part of the initial randomizations. The randomization first selected 268 of these 477 students to participate in the experiment in wave 1. 134 of these were then randomized into treatment in wave 1. The remaining 209 students were part of wave 2; 88 were randomized into treatment since 88 new tutors became available. Finally, 83 new students later switched to hybrid attendance and were part of wave 3. 42 were randomized into treatment. All students that were attending hybrid (in-person some days, at home others) at the middle school where the experiment was conducted were part of the study. Students who attended at home full time were not eligible. other; Data is de-identified and was provided by the school where the experiment was conducted. Middle school students in Chicago Heights, IL. Smallest Geographic Unit: n/a Presence of Common Scales: n/a n/a

Comprehensive dataset containing 4,096 verified Private tutor businesses in United States with complete contact information, ratings, reviews, and location data.

Financial overview and grant giving statistics of Step Up Tutoring

This statistic displays the results of a survey conducted bi-annually from 2010 to 2018 about the share of high school students who received private tutoring across rural India from 2010 to 2018, by school type. According to the survey, around ** percent of public high school students in rural India received private tutoring in 2018.

Comprehensive dataset containing 15 verified Private tutor businesses in Delaware, United States with complete contact information, ratings, reviews, and location data.

This pie chart presents parents' opinion on the effectiveness of paid tutoring in France in 2019. It reveals that ** percent of responding parents considered that paid tutoring was not really more effective than free tutoring.