OCDE - PISA 2025 Results (Volume I) - Regiones de Ucrania (17 de 27) de 2026

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PISA 2025 RESULTS (VOLUME I) – COUNTRY NOTES: UKRAINIAN REGIONS (17 OF 27) © OECD 2026

The Programme for International Student Assessment (PISA) assesses the knowledge, skills and attitudes of 15-year-old students. The tests explore how well students can solve complex problems , think critically and communicate effectively; data collected through questionnaires describe the context in which students learn. This gives insights into how well education systems are preparing student s for real life challenges and future success. Ukraine participated for the first time in PISA in 2018. By c omparing results internationally, policy makers a nd educators in Ukraine can learn from other countries’ policies and practices.

Note: The designation “Ukrainian regions (17 of 27)” used in this note refers to the 17 PISA -participating jurisdictions of Ukraine: Cherkasy Oblast, Kirovohrad Oblast, Poltava Oblast, Vinnytsia Oblast, Chernihiv Oblast, Kyiv Oblast, the City of Kyiv, Zhytomyr Oblast, Odesa Oblast, Chernivtsi Oblast, Ivano-Frankivsk Oblast, Khmelnytskyi Oblast, Lviv Oblast, Rivne Oblast, Ternopil Oblast, Volyn Oblast and Zakarpattia Oblast.

Due to Russia’s large-scale aggression against Ukraine, the following ten jurisdictions were not covered: Dnipropetrovsk Oblast, Donetsk Oblast, Kharkiv Oblast, Luhansk Oblast, Zaporizhzhia Oblast, Kherson Oblast, Mykolaiv Oblast, Sumy Oblast, the Autonomous Republic of Crimea and the city of Sevastopol. Only trend comparisons to 2022 are included in this note. Fifteen-year-old students in the Ukrainian regions (17 of 27) and the context in which they learn Figure 1. A multi-dimensional dashboard of student learning

Ukrainian regions (17 of 27)2 

Fifteen-year-old students in the Ukrainian regions (17 of 27) and the context in which they learn Figure 1. A multi-dimensional dashboard of student learning

Ukrainian regions (17 of 27)2  PISA 2025 RESULTS (VOLUME I) – COUNTRY NOTES: UKRAINIAN REGIONS (17 OF 27) © OECD 2026

Notes: Due to missing data, not all countries and economies are included in every dimension. F or each dimension, the top country/economy and the OECD average are highlighed; truancy values are sorted in descending order, so that values shown to the right correspond to lower levels of truancy.

For indicators derived from students’ and principals’ reports, differences between countries and economies should be interpre ted with caution, as they may reflect variations in response behaviour rather than true underlying differences. Non-response to questionnaires, cultural norms, as well as differing interpretations of questions can influence these indicators. 3

PISA 2025 RESULTS (VOLUME I) – COUNTRY NOTES: UKRAINIAN REGIONS (17 OF 27) © OECD 2026

Definitions: Values that are not reported as percentages correspond to mean values of the corresponding questionnaire indices. Percentages are defined as follows: Percentage of students scoring above a baseline level of proficiency : students scoring at or above Level 2 in science, mathematics and reading; at or above Level 3 in computational problem solving; Growth mindset: Percentage of students who disagree or strongly disagree with the statement “You have a certain amount of intelligence, and you really can’t do much to change it”; Value of learning at school: Percentage of students who disagree or strongly disagree that “School has done little to prepare me for adult life when I leave school”; Absence of bullying: Percentage of students who reported never or almost never being victim of any type of bullying act (among a list of five different types of acts); Truancy: Percentage of students who reported that in the two weeks prior to the PISA test they had skipped at least one

Absence of bullying: Percentage of students who reported never or almost never being victim of any type of bullying act (among a list of five different types of acts); Truancy: Percentage of students who reported that in the two weeks prior to the PISA test they had skipped at least one class or day of school; Academic resilience in science: Percentage of students from the bottom quarter of socio-economic status (disadvantaged students) who scored in the top quarter of performance amongst students in their own country/economy; Beliefs in social mobility: Percentage of students who disagree or strongly disagree with the statement “Your status in s ociety is something that you can’t really change very much”; No shortage of teaching staff: Percentage of students in schools whose principal reported that the school’s capacity to provide instruction is not at all hindered by a lack of teaching staff; Peer-to-peer tutoring: Percentage of students in schools whose principal reported that peerto-peer tutoring is provided; Learning to assess AI-generated content in class : Percentage of students who reported that, in their school lessons, they assess the quality of information generated by Artificial Intelligence chatbots (e.g. ChatGPT) sometimes, often or very often; School policy: cell phone bans in school : Percentage of students in schools whose principal reported that the use of cell phon es is not allowed on the school premises; School policy: subject-specific guidelines on digital devices : Percentage of students in schools whose principal reported that the school has formal guidelines for the use of digital devices for teaching and learning in specific subjects.

Source: Figure I.1.2.

An interactive dashboard is available at https://www.oecd.org/en/data/dashboards/pisa-education-and-skills.html Notes on data quality in PISA 2025 This edition of PISA includes data from 91 countries and economies. While t he vast majority of countries and economies met PISA’s technical standards, a small number did not. In particular, caution is required when interpreting results of countries and economies mentioned in this note with an asterisk () next to their names: their results could be affected by greater uncertainty, or even be biased, because one or more PISA sampling standards were not met. For more information, see the Reader’s

is required when interpreting results of countries and economies mentioned in this note with an asterisk () next to their names: their results could be affected by greater uncertainty, or even be biased, because one or more PISA sampling standards were not met. For more information, see the Reader’s Guide in PISA 2025 Results, Volume I and Chapter 18 (Data Adjudication) in the PISA 2025 Technical Report. In the Ukrainian regions (17 of 27), all data met the quality standards set by PISA and were considered fit for reporting. How well did 15-year-old students in the Ukrainian regions (17 of 27) do on the test? Trends in science, mathematics and reading performance Figure 2. Trends in performance in science, mathematics and reading4  PISA 2025 RESULTS (VOLUME I) – COUNTRY NOTES: UKRAINIAN REGIONS (17 OF 27) © OECD 2026

Note: White dots indicate mean scores that are not statistically significantly above/below PISA 2025 mean scores. An interactive version of this figure is available at https://www.oecd.org/en/data/dashboards/pisa-education-and-skills/performance-trends.html.

Source: Tables I.B1.2a.36-38 • Average 2025 results in the Ukrainian regions (17 of 27) were about the same as in 2022 in mathematics, reading and science. • Over the most recent period (2022 to 2025), the gap between the highest-scorin g students (10% with the highest scores) and the weakest students (10% with the lowest scores) did not change significantly in mathematics, reading and science. • Compared to 2022 the proportion of low-performing students (scoring below proficiency Level 2) did not change significantly in mathematics, reading and science.

How do the Ukrainian regions (17 of 27) compare? • Students in the Ukrainian regions (17 of 27) scored less than the OECD average i n mathematics, reading and science (Figure 3).

did not change significantly in mathematics, reading and science. How do the Ukrainian regions (17 of 27) compare? • Students in the Ukrainian regions (17 of 27) scored less than the OECD average i n mathematics, reading and science (Figure 3). • A smaller proportion of students in the Ukrainian regions (17 of 27) than on average across OECD countries were top performers (Level 5 or 6) in at least one subject. At the same time, a smaller proportion of students than on average across OECD countries achieved a minimum level of proficiency (Level 2 or higher) in all three subjects (Figure 4). • In computational problem solving, the mean score of students in the Ukrainian regio ns (17 of 27) was lower than the OECD average (Figure 3). Figure 3. Mean performance in science, mathematics, reading and computational problem solving The Ukrainian regions (17 of 27), OECD average and selected comparison countries/economies

Notes: Comparison countries/economies include the highest-performing countries and econom ies overall and the highest-performing OECD countries; for comparisons with all remaining PISA 2025 participants, see source T ables and Figures. Horizontal lines that extend beyond the markers represent a measure of uncertainty associated with mean scores (the 95% confidence interval).

Source: Tables I.B1.2a.1-3 and Tables I.2.1, I.2.4, I.2.o1 and I.2.o2 5

PISA 2025 RESULTS (VOLUME I) – COUNTRY NOTES: UKRAINIAN REGIONS (17 OF 27) © OECD 2026

What students know and can do in science Figure 4. Proficiency in science, mathematics and reading among 15-year-old students The Ukrainian regions (17 of 27) and OECD average

Source: Tables I.B1.2a.10-12 • Some 65% of students in the Ukrainian regions (17 of 27) attained Level 2 or higher i n science

(OECD average: 74%). At a minimum, these students can recognize the correct explanation for

Source: Tables I.B1.2a.10-12 • Some 65% of students in the Ukrainian regions (17 of 27) attained Level 2 or higher i n science

(OECD average: 74%). At a minimum, these students can recognize the correct explanation for familiar scientific phenomena and can use such knowledge to identify, in si mple cases, whether a conclusion is valid based on the data provided. Over 85% of students in top performers B-S-J-Z (China), Macao (China), Singapore, Estonia, Japan, Chinese Taipei and Korea (in d escending order of that share) performed at this level or above. • In the Ukrainian regions (17 of 27), 2% of students were top performers in science, meanin g that they were proficient at Level 5 or 6 (OECD average: 7%). These students can creative ly and autonomously apply their knowledge of and about science to a wide variety of situations, including unfamiliar ones. What students know and can do in mathematics • In the Ukrainian regions (17 of 27), 54% of students attained at least Level 2 proficiency in mathematics (OECD average: 65%). At a minimum, these students can interpret and r ecognize, without direct instructions, how a simple situation can be represented mathema tically (e.g. comparing the total distance across two alternative routes, or converting prices into a different currency). • Some 3% of students in the Ukrainian regions (17 of 27) were top performers in mathematics , meaning that they attained Level 5 or 6 in the PISA mathematics test (OECD averag e: 8%). The largest shares of students attaining Level 5 or 6 were observed in Seven Asian countries and economies: B-S-J-Z (China) (54%), Singapore (37%), Chinese Taipei (32%), Macao (China) (29%), Korea (23%), Japan (22%) and Hong Kong (China) (21%). At these levels, students can model complex situations mathematically, and can select, compare and evalu ate appropriate

(29%), Korea (23%), Japan (22%) and Hong Kong (China) (21%). At these levels, students can model complex situations mathematically, and can select, compare and evalu ate appropriate problem-solving strategies for dealing with them. In 13 countries and economies partici pating in PISA 2025, more than 10% of students attained Level 5 or 6 proficiency.6  PISA 2025 RESULTS (VOLUME I) – COUNTRY NOTES: UKRAINIAN REGIONS (17 OF 27) © OECD 2026

What students know and can do in reading • Some 55% of students in the Ukrainian regions (17 of 27) attained Level 2 or h igher in reading (OECD average: 69%). At a minimum, these students can identify the main idea in a text of moderate length, find information based on explicit, though sometimes complex criteria, and can reflect on the purpose and form of texts when explicitly directed to do so. The share of 15-year-old students who attained minimum levels of proficiency in reading (Level 2 or higher) varied from 93% in B-S-J-Z (China) to 4% in Rwanda. • In the Ukrainian regions (17 of 27), 1% of students scored at Level 5 or higher in readin g (OECD average: 6%). These students can comprehend lengthy texts, deal with concepts that are abstract or counterintuitive, and establish distinctions between fact and opinion, based on implicit cues pertaining to the content or source of the information. Performance gaps within the Ukrainian regions (17 of 27) Figure 5. Science performance and socio-economic status of students and schools

Source: Tables I.B1.2b.7 and Table I.B1.2b.11; and OECD, PISA 2025 Database.

Notes: The left-hand chart shows how the performance of students at different levels of socio-economic status compares to the performance of students with similar socio-economic background across OECD countries on average. The shaded area represents a measure of uncertainty

Notes: The left-hand chart shows how the performance of students at different levels of socio-economic status compares to the performance of students with similar socio-economic background across OECD countries on average. The shaded area represents a measure of uncertainty

(the 95% confidence interval). Percentages reported on the chart correspond to the percentage of students in the Ukrainian regions (17 of 27) that are in each international quartile of socio-economic status. The right-hand chart plots the performance and average socio-economic status of schools that participated in PISA (only schools with students in the modal grade for 15-year-olds are shown). The size of dots is proportional to the population of 15-year-old students that each school represents. Socio-economic disparities • The PISA index of economic, social and cultural status is computed in such a way that all students taking the PISA test, regardless of the country where they live, can be placed on the same socioeconomic scale. This means that it is possible to use this index to compare the performance of students of similar socio-economic background in different countries. In the Ukrainian regions (17 7

PISA 2025 RESULTS (VOLUME I) – COUNTRY NOTES: UKRAINIAN REGIONS (17 OF 27) © OECD 2026

of 27), 38% of students (the largest share) were in the 3rd international quartile of the socioeconomic scale, meaning that they were neither among the most disadvantaged, nor among the most advantaged students who took the PISA test in 2025. Their average score in scienc e was 457 score points (Figure 5, left chart). In Singapore, Chinese Taipei and Macao ( China), students of similar socio-economic background tend to score significantly higher. • The PISA index of economic, social and cultural status can also be used to or der students from the most disadvantaged to the most advantaged within each country and economy, and to create four groups of students of equal size (each comprising 25% of the population of 15-year -old students in each country/economy). In the Ukrainian regions (17 of 27) soc io-economically

the most disadvantaged to the most advantaged within each country and economy, and to create four groups of students of equal size (each comprising 25% of the population of 15-year -old students in each country/economy). In the Ukrainian regions (17 of 27) soc io-economically advantaged students (the top 25% in terms of socio-economic status) outperformed disadvantaged students (the bottom 25%) by 66 score points in science. This is smaller than the average difference between the two groups (85 score points) across OECD countries. • Between 2022 and 2025, the gap in science performance between the top and the bottom 25% of students in terms of socio-economic status remained stable in the Ukrainian reg ions (17 of 27), while the average gap across OECD countries narrowed. Over this period, performance remained stable both among advantaged and disadvantaged students. • Socio-economic status was a predictor of performance in science in all PISA-participating countries and economies. It accounted for 8% of the variation in science performance in PIS A 2025 in the Ukrainian regions (17 of 27) (compared to 12% on average across OECD countries). • Some 15% of disadvantaged students in the Ukrainian regions (17 of 27) were able to score in the top quarter of science performance. These students can be considered academically resilient because, despite their socio-economic disadvantage, they have attained educational excellence by comparison with students in their own country. On average across OECD coun tries, 12% of disadvantaged students scored in the top quarter of science performance in their own countries. Student attitudes towards school and learning in the Ukrainian regions (17 of 27) Student curiosity, perseverance and perceived value of school • In the Ukrainian regions (17 of 27), 60% of students agree or strongly agree that they are curious about many different things, compared to 73% across OECD countries. Moreover, 54% of students reported that they apply additional effort when work becomes challenging (OECD av erage 60%).

• In the Ukrainian regions (17 of 27), 60% of students agree or strongly agree that they are curious about many different things, compared to 73% across OECD countries. Moreover, 54% of students reported that they apply additional effort when work becomes challenging (OECD av erage 60%).

At the same time, 20% agree or strongly agree that school has been a waste of time ( OECD average: 24%). • Between 2022 and 2025, these attitudes changed somewhat in the Ukrainian regions (17 of 27). The share of students who reported being curious about many different things remai ned stable; the proportion who reported applying additional effort when work becomes challenging decreased by 5.5 percentage points; and the percentage of students who agreed that school had been a waste of time decreased by 9.4 percentage points during this period. • Curiosity, perseverance and valuing school are most often associated with higher science performance. In the Ukrainian regions (17 of 27), after accounting for students’ and schools’ socioeconomic profile, a one-unit increase in the curiosity index is associated with a difference of 15 score points in science performance, compared to an average of 19 score points across OECD countries; a one-unit increase in the perseverance index is associated with a difference of 10 score points in science performance (OECD average: 13 score points); students who perceive great er value in school and disagree that it is a waste of time tend to achieve higher scores in science (by 19 score points ) than their peers who feel they are wasting their time at school (OE CD average: 27 score points).8  PISA 2025 RESULTS (VOLUME I) – COUNTRY NOTES: UKRAINIAN REGIONS (17 OF 27) © OECD 2026

Student attitudes towards learning • PISA 2025 also asked students about other attitudes towards learning. For example, 68 % of students in the Ukrainian regions (17 of 27) have a growth mindset (OECD average: 69%), i.e. hold the belief that intelligence can be cultivated through work, effort and feedback. On average across

• PISA 2025 also asked students about other attitudes towards learning. For example, 68 % of students in the Ukrainian regions (17 of 27) have a growth mindset (OECD average: 69%), i.e. hold the belief that intelligence can be cultivated through work, effort and feedback. On average across OECD countries, students with a growth mindset score 28 score points higher in science than those with a fixed mindset. In the Ukrainian regions (17 of 27), this difference is 31 sc ore points, after accounting for students’ and schools’ socio-economic profile. • PISA 2025 data show that there is still room for improvement in terms of students’ self-regulation and goal-setting behaviours. For example, only about 46% of students in the Ukrainian regions (17 of 27) report that they often or very often plan their approach to studying. Furthermore, 48% of students ask themselves questions about the material to check if they have understood everything

(OECD averages: 37% and 49%, respectively). • An autonomous self-regulated learner knows when and where to ask for help. PISA 2025 data show that, in most countries, students tend to rely on their teachers and clas smates for support with their schoolwork. In the Ukrainian regions (17 of 27), 77% of students ask their teachers for help when they need it and 76% ask their classmates when they do not fully understand something (OECD averages: 77% and 82%, respectively). How is school life in the Ukrainian regions (17 of 27)? Perceived shortages of human and material resources • In 2025, 34% of students in the Ukrainian regions (17 of 27) were in schools whose princ ipals reported that instruction was hindered, at least to some extent, by a perceived lack of teaching staff (OECD average: 39%); the corresponding share for a perceived lack of assisting staf f was 31% (OECD average: 39%). The prevalence of perceived teaching staff shortages in the Ukrai nian regions (17 of 27) did not change significantly compared to 2022.

(OECD average: 39%); the corresponding share for a perceived lack of assisting staf f was 31% (OECD average: 39%). The prevalence of perceived teaching staff shortages in the Ukrai nian regions (17 of 27) did not change significantly compared to 2022. • PISA 2025 data reveal that perceived shortages of material resources remain a concern in most countries and economies. Some 61% of students in the Ukrainian regions (17 of 27) atte nded schools whose principals reported that a lack of educational material (e.g. textbooks, IT equipment, library or laboratory material) hindered instruction, at least to some extent, and 45% were in schools where a lack of physical infrastructure (e.g. buildings, grounds, heating/cooling systems, l ighting and acoustic systems) was perceived to hinder instruction. In 2022, the corresponding shares were 76% and 51%, respectively. Digital resources • In the Ukrainian regions (17 of 27), students reported spending on average 2.7 hours per day using digital devices at school for learning activities (OECD average: 1.7 hours). At the same time, a nonnegligible share of students’ device use on school days is dedicated to non-learning activities: students in the Ukrainian regions (17 of 27) reported spending 1.7 hours per day using digital devices at school for leisure (OECD average: 1.1 hours). • In the Ukrainian regions (17 of 27), 34% of students reported that their peers are oft en distracted by the use of digital devices during most or all science lessons (OECD average: 28%). On average across OECD countries, students who reported digital distraction in their scien ce classes score 11 points lower in science than those who reported no digital distraction (after accounti ng for students’ and schools’ socio -economic profile). The Ukrainian regions (17 of 27) is among the 9

PISA 2025 RESULTS (VOLUME I) – COUNTRY NOTES: UKRAINIAN REGIONS (17 OF 27) © OECD 2026

students’ and schools’ socio -economic profile). The Ukrainian regions (17 of 27) is among the 9

PISA 2025 RESULTS (VOLUME I) – COUNTRY NOTES: UKRAINIAN REGIONS (17 OF 27) © OECD 2026

minority of countries and economies in which digital distraction is not associ ated with significant differences in student performance. • On average across OECD countries, students in schools where cell phone use is not allowed on school premises are about 13% less likely to report digital distraction. In 2025, 10% of students in the Ukrainian regions (17 of 27) attended schools with such a ban (OECD average: 49%), close to the level observed in PISA 2022 (14%; OECD average in PISA 2022: 34%). • Students in most education systems use AI chatbots for schoolwork, creating new challenges and opportunities for their learning. In the Ukrainian regions (17 of 27), 54% of students reported using AI chatbots to help them learn at least once a week (OECD average: 46%). Students also frequently use AI to conduct preliminary research on a new topic (Ukrainian region s (17 of 27): 37%; OECD average: 31%), to summarise a text they had to read (Ukrainian region s (17 of 27): 42%; OECD average: 30%), and to draft text for writing assignments (Ukrainian regions (17 of 27): 43%; OECD average: 29%).Only 8% of students reported never or almost never using AI chatbots for any of the schoolwork tasks examined in PISA (OECD average: 14%). Bullying and cyberbullying • In the Ukrainian regions (17 of 27), 14% of students reported being victims of at leas t one form of bullying a few times per month or more in 2025 (OECD average: 20%). The prevalence of bullying increased between PISA 2022 and PISA 2025, as it did in a large majority of participating countries and economies.

bullying a few times per month or more in 2025 (OECD average: 20%). The prevalence of bullying increased between PISA 2022 and PISA 2025, as it did in a large majority of participating countries and economies. • Cyberbullying is relatively uncommon compared with other forms of bullying, but its victims tend to experience significant achievement deficits. In the Ukrainian regions (17 of 27), 3% of students reported that upsetting information about them was published online, without their consent, at least a few times a month during the 12 months prior to the PISA test (OECD average: 3%). These students scored, on average, 49 points lower in science than their peers. Teacher support and disciplinary climate in science lessons • In the Ukrainian regions (17 of 27), 75% of students reported that, in most sci ence lessons, the teacher shows an interest in every student’s learning (OECD average: 69%), 70% that the teacher continues teaching until the students understand (OECD average: 66%), 78% that the teacher gives extra help when students need it (OECD average: 73%). • Disciplinary climate in science lessons in 2025 remains a concern in many c ountries and economies: about 17% of students in the Ukrainian regions (17 of 27) reported that they canno t work well in most or all lessons (OECD average: 19%); 15% reported noise and disorder disrupted most or every science lesson (OECD average: 31%); 24% of students reported that their classmates do not listen to what the teacher says (OECD average: 29%). Parental involvement and support • Student reports of family support substantially decreased in almost all PISA-participating countries and economies between 2022 and 2025. This was also the case in the Ukrainian region s (17 of 27). In 2025, 67% of students in the Ukrainian regions (17 of 27) reported that their parents or guardians asked them, at least once per week, what they did at school , while 53% reported having

27). In 2025, 67% of students in the Ukrainian regions (17 of 27) reported that their parents or guardians asked them, at least once per week, what they did at school , while 53% reported having at least weekly discussions about problems they might have at school. In 2022, the corresponding shares were 72% and 58%, respectively.10  PISA 2025 RESULTS (VOLUME I) – COUNTRY NOTES: UKRAINIAN REGIONS (17 OF 27) © OECD 2026

Truancy and lateness • In 2025, around 58% of students in the Ukrainian regions (17 of 27) reported hav ing skipped at least one day of school in the two weeks prior to the test (OECD average: 22%); 58% reported skipping at least one class (OECD average: 24%); 54% reported arriving late for sc hool (OECD average: 50%). In previous years, the corresponding shares were 25%, 32% and 58% (in 2022). Student readiness for environmental challenges • In the Ukrainian regions (17 of 27), 65% of students reached at least baseline proficiency (Level 2) in environmental science. On average across OECD countries, 74% of students achieve this level, with more than 85% reaching it in seven countries and economies. • PISA 2025 shows that students in most education systems report strong pro-environme ntal attitudes, although fewer feel confident about how to collaborate effectively . In the Ukrainian regions (17 of 27), 77% of students believe that they can positively impact the environment (OECD average: 81%); 83% believe that collective action can address environmental problems (O ECD average: 82%); 72% report knowing how to work with others to positively impact the envi ronment (OECD average: 68%). • In the Ukrainian regions (17 of 27), 71% of students reported that they are somewhat or very interested in contributing to protecting the environment in their future jobs (OECD average: 62%).

(OECD average: 68%). • In the Ukrainian regions (17 of 27), 71% of students reported that they are somewhat or very interested in contributing to protecting the environment in their future jobs (OECD average: 62%). • Most students engaged in environment-related activities at least once over the 12 months prior to the PISA test. On average across OECD countries, the most common forms of engagement are discussing with friends and family how to have a positive impact on the environment (the Ukrainian regions (17 of 27): 67%; OECD average: 56%) and making purchasing decisions based on the sustainability of products (OECD average: 54%; 63% in the Ukrainian regions (17 of 27)). Key Features of PISA 2025 in the Ukrainian regions (17 of 27) The content • The PISA 2025 survey focused on science, with mathematics and reading as minor areas; an ass