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Article

Primary School Pupils’ Use of Verb Collocations in Science Assessment: Patterns of Linguistic Behaviour by Language Background Factor

by
Míriam Buendía-Castro
1,* and
Oksana Afitska
2
1
Department of Translation and Interpreting, University of Granada, 18071 Granada, Spain
2
Department of Linguistics and English Language, Lancaster University, Lancaster LA1 4YW, UK
*
Author to whom correspondence should be addressed.
Educ. Sci. 2023, 13(12), 1208; https://doi.org/10.3390/educsci13121208
Submission received: 9 October 2023 / Revised: 27 November 2023 / Accepted: 30 November 2023 / Published: 3 December 2023

Abstract

:
This article explores patterns of linguistic behaviour and challenges associated with low(er) linguistic competences in primary school learners in subject-specific areas of the curriculum. The study draws on science test data, specifically on two assessment tasks, collected from 209 primary school students, aged between 9 and 11 years (Key Stages 5 and 6 of the statutory framework for learning in England). The population sample is made up of learners from six state primary schools in Yorkshire and the Humber Region, UK. Some of the learners speak English as their mother tongue while others speak English as their second or third language. Learner test data were analysed in order to answer the following research questions: (1) What verb collocations do learners use when demonstrating their content knowledge on the topic of “separating solids and liquids” in Science? (2) Do English language learners (ELLs) and English native speaking learners (ENSs) use verb collocations differently? If so, what is the nature of these differences? The results revealed differences between linguistic performances in the two groups of learners. ENSs tended to produce natural collocations with motion verbs. ELLSs, however, faced challenges in producing idiomatic language. They also encountered more difficulties than ENSs in understanding assessment tasks’ instructions and/or in reporting subject-specific knowledge in response to the assessment tasks.

1. Introduction

In recent years, the use of collocations by learners who are relatively proficient in the target language in EFL and ESL classrooms has been extensively investigated by scholars [1,2,3,4,5]. However, scholarly work that investigates the use of collocations by second language learners whose second language proficiency is still developing, in other instructional settings, such as immersion, minority or CLIL, is still relatively scarce but is steadily gaining momentum [6,7]. To date, these studies have largely focused on examination of language use by adolescent or adult learners, rather than by young learners [8,9]. This study aims to investigate the use of verb collocations by primary school children in the context of a minority education setting, whose second language proficiency is still developing. It also aims to compare the use of verb collocations by English language learners (ELLs) and English native speaking learners (ENSs).
In England, English language learners are known as “EALs”—English as an additional language users. According to the most recent educational census data [10], in 2023 the population of EAL learners in national schools in England had reached over 1.7 million. This number represents 22% of pupils in primary state-funded schools and 18.1% of pupils in secondary state-funded schools [10]. According to the National Association for Language Development in the Curriculum (NALDIC), EAL learners are similar in most characteristics to their English native speaking peers; however, they may struggle with understanding and expressing themselves in English, which can hinder their academic progress. These communication difficulties can affect their ability to comprehend the content of lessons, participate in class discussions, and complete assignments effectively. Ref. [11] (p. 641) analysed EAL learner attainment data on National Tests at the end of Key Stage 2 (SATs) and Key Stage 3 (GCSE) by the new national EAL proficiency stages in England [12] and found that “the percentage of EALs attaining expected outcomes or above at KS2 and GCSE increased as stage of proficiency in English increased”. The author also reported that “EALs in the early stages of English proficiency performed at low levels, while the achievement of EAL pupils who were fully fluent in English far outstripped that of pupils for whom English was their only language” (ibid). Similar findings were reported by other scholars researching second language medium instructed contexts, such as [13,14,15]. The role of language in the process of acquisition of subject-specific content in instructional settings cannot be undervalued. Research on language acquisition in children suggests that acquiring verbs can be more challenging than acquiring nouns [16]. The complexity of verb argument structure, grammatical inflections, and their diverse usage in different contexts may contribute to this difficulty.
Ref. [17] (p. 5), drawing on the growing body of research into language and literacy development across the curriculum [18,19,20], asserts that “explicit attention to language can accelerate [learners’] development of subject literacies as part of mainstream curricular practices”. The scholar further states that “paying explicit attention to the linguistic patterns and structures through which subject knowledge is realised […] can be of benefit to all [learners] regardless of their linguistic backgrounds” (ibid: 3). Furthermore, official educational documentation highlights that: “pupils’ acquisition and command of vocabulary are key to their learning and progress across the whole curriculum” [21] (p. 11). With regards to the Science curriculum specifically, the National Curriculum in England states “the quality and variety of language that pupils hear and speak are key factors in developing their scientific vocabulary and articulating scientific concepts clearly and precisely” [21] (p. 169).
This article investigates the patterns of language use and difficulties associated with accurate language use by English language learners with lower levels of English language proficiency in primary schools in the science area of the curriculum. More specifically, it focuses on the analysis of learners’ linguistic performance in two science assessment tasks. The study also aims to unpack discrepancies in ENS and ELL learners’ linguistic behaviour on this topic. More specifically, the study aims to answer the following research questions:
  • What verb collocations do learners use when demonstrating their content knowledge on the topic of “separating solids and liquids” in Science?
  • Do English language learners and English native speaking learners use verb collocations differently? If so, what is the nature of these differences?
The paper is organized in the following way: Section 2 presents the methodological aspects of the study, including information about the study’s materials and methods, design framework and participants’ details; Section 3 presents the study’s main findings; Section 4 discusses the findings in the light of existing research and outlines the study’s limitations, and finally, Section 5 closes the paper with some concluding remarks.

2. Materials and Methods

This study investigates the use of verb collocations by ELLs and ENSs in formal assessment tasks at Key Stage 2 (Years 5–6, ages 9–11) of England’s National Curriculum for Science. Learner test performance data on “separating solids and liquids” topic were collected from 209 primary school students aged 9 to 11 years (Years 5 and 6, Key Stage 2, of the statutory framework for learning in England). from six state primary schools in the Yorkshire and Humber Region, UK. The data were analysed quantitatively using the SPSS software package.
This study forms a part of a larger classroom-based mixed-methods research project (EAL-Science Project, 2013–2015 and 2018–2019) that was conducted in six state primary schools over a period of 2 years in the Yorkshire region, and over a period of 1 year in the Lancashire region. The schools had varying densities of ELLs, ranging from 17% to 96%, and represented children from various ethnic, social and economic backgrounds. The schools were selected on the recommendation of senior EAL consultants from the Local City Councils. The target classes in these schools were selected by the schools’ headteachers on the basis of teachers’ willingness to take part in the research. The study received full ethical approval from the educational authorities under which it was conducted, namely the University of Sheffield and Lancaster University, prior to its implementation. Due to the young age of its participants (under 18 years), informed consent for participation in the study was sought from their parents or guardians. Where consent was granted, children were additionally consulted about their willingness to participate in the study. Where children expressed a preference for not participating in the study, their requests were granted. Children and parents were aware that they could withdraw from the study at any point without giving an explanation for their decision.

2.1. Study Design and Participants

As was mentioned above, this study is a part of a larger research project, which is made up of qualitative (classroom observation, teacher and learner interview) and quantitative (learner test, learner, teacher and parent questionnaire) data samples. Only learner test performance data are reported in this study as they form its sole focus. In the main study (not reported here), learners were invited to complete several science assessment tasks at the end of the year, appropriate to their educational phase. The maximum number of tasks that learners completed as part of the main study was 20 (in Year 5) and the minimum was 8 (in Year 3). Of interest to this particular study are learner performance data from Years 5 and 6 on two specific science tasks (5c and 5d, see Figure 1) that required learner-initiated active use of language (at the phrase or sentence level) in response to the assessment task. Figure 1 details the number of science tasks that learners engaged with, their thematic areas and distribution of tasks across year groups.
In order to differentiate between ELLs and ENSs, we collected data on learners’ language background. In doing so we relied on learner self-reported data. To collect the language background data, we invited learners to complete a short questionnaire which was attached to the first page of their assessment booklets (see Figure 2). Once the data had been collected, we classed them into two categories according to whether English was perceived to be the learners’ first language or not. These were: (i) “English Native Speaker”, which included all cases where learners self-reported speaking English as their first language; (ii) “English Language Learner”, for the cases where learners self-reported speaking English as their second or third language or where learners reported routinely speaking more than one language at home.
Participants’ characteristics by their first language variable are shown in Table 1.
Learners with undecipherable language responses were also excluded.
The study sample comprised 209 schoolchildren: 104 (49.8%) males and 105 (50.2%) females, thus ensuring gender balance. A total of 112 were ENS whereas 97 were ELL. Some 98 of the learners were from Year 5 and 111 from Year 6. The number of participants from each school varied significantly based on the criteria described above, with a varied proportion between native and non-native learners.

2.2. Study Variables

The assessment tasks were taken from the 2003–2011 National Curriculum assessment papers [22]. More specifically, for the analysis of learners’ use of verb collocations in response to the assessment tasks, two tasks were analysed based on the following: (1) the focus of the assessment tasks had to be on the topic of “separating solids and liquids”—a key topic area of the national curriculum for science at KS2, and (2) the assessment tasks had to require the active production of written language on the part of the learner (see questions in Figure 3):
By active language production, we understand “the creation of spontaneous responses [oral or written] and appropriate meaning making [by learners] in learning tasks and assessment questions” [23] (p. 6) as opposed to their “passive reproduction of language [which is often realised by means of mere] incorporation or transferring of provided linguistic models into responses” (p. 7). The following types of assessment tasks belong to the active language production group: (1) “Name”, (2) “Explain”, (3) “Name and Explain”, and (4) “Describe” (see [24] for comprehensive definitions of these types of assessment tasks and their specific examples).
Eligible language data on verb collocations were extracted from learner written responses to the target assessment tasks. More specifically, in the first assessment task, (see Figure 2) we analysed the verbs that learners used with the nouns “gravel” and “water” to convey the meaning of movement or non-movement. For example, when a learner wrote “the gravel stays in the sieve and the water goes through the hole”, “stay” was taken as a verb collocation of “gravel” and “go through” as the verb collocation for “water”. In the second assessment task, we analyzed the verbs they used in combination with the noun “salt” to express the phenomenon of salt being dissolved in water. Some examples were “the salt dissolves in the water” and “the salt disappears”. For the purposes of this research, the factual correctness of the learner response was irrelevant. What was important was the type of language that learners used to produce their response. In other words, although “disappear” does not collocate with “salt” here to convey the meaning, it was taken into account for the analysis to reflect what learners said. Figure 4 shows the evaluation rubrics for the first and the second assessment task.

3. Results

This section presents the analysis of verbal collocations used by ENSs and ELLs with the nouns “gravel” and “water” to express the phenomenon of non/movement, and the verbal collocations with the noun “salt” to convey the phenomenon of salt being dissolved in water (see Figure 3). In addition to examining learners’ responses that included the use of verb collocations, we also considered responses where (a) learners did not provide an answer to the question (black responses), (b) provided a response that was unrelated to the question asked, or (c) provided an illegible response to the question.
The data were analysed using Statistical Package for Social Scientists (SPSS) Version 25.0. The data were presented as frequencies and percentages for all categorical variables. To compare the two groups (ENSs and ELLs), we used χ2. Probabilities exceeding 95% (alpha p values < 0.05) were used as the threshold cut-off for statistical significance.
The data were firstly analysed by assessment task, and then within each assessment task by learner language background variable. Table 2, Table 3 and Table 4 present the following information (left to right): (i) the verb collocations used along with the category “blank” and “illegible/others”, in descending order of frequency; (ii) the total number of learners who opted for each verbal collocation (both ENSs and ELLs); (iii) the specific number of ENSs and of ELLs that used each verbal collocation; (iv) the p value. Data in the tables are shown as frequency and percentages. When presenting learner data in the analysis tables, we used the following conventions. All instances where verbs were misspelt or used incorrectly in terms of syntax were included followed by the * symbol.

Verb Collocations with “Gravel” by Language Variable

Table 2 presents the frequency and percentage of verb collocations with the noun “gravel” to express the phenomenon of non/movement, produced by 97 ELLs and 112 ENSs in the first assessment task. The results are ordered by frequency, in alphabetical order. The findings reveal that there are significant differences between ELLs and ENSs language use (p = 0.001). More specifically, 75 learners out of 209 left the answer blank. Out of them, 49 (50.5%) were ELLs and 26 (23.2%) were ENS. Leaving the answer blank was the most common pattern of behaviour among ELLs, with more than half of them displaying it. The majority of ENSs used the collocation “stay in” (42.9%) as in “the gravel stays in the sieve”. Only 18.6% of ELLs used the collocation “stay in”. The number of illegible responses as well as responses with no or with irrelevant answers was similar for ENS and ELLs (16.1% ENS and 18.6 ELLs). Other collocations used by both groups of learners were “go through” (4.5% ENS vs. 4.1% ELLs), “get stuck” (4.5.% ENS vs. 2.1% ELLs), “stay inside” (3.6% ENS and no instances by ELLs), “stay on *” (4.1% ELLs vs. 0%ENSs). It is worth noting that the preposition “on” used with the verb “stay” seems not to be idiomatic in this context. Other less frequent responses provided by ENSs (0.9%) but not by ELLs (apart from “go on*”) were “be left”, “be stuck”, “get caught”, “get separated from”, “go on *”, “move”, “stay into”, “travel through”.
A noticeable difference between the two groups becomes apparent when we look at learners’ use of prepositions to convey the meaning of non/movement when combined with the noun “gravel”. The data show that ENSs did not experience difficulties in choosing correct prepositions for specific verbs, whereas ELLs did have problems, as is evidenced in ELLs’ use of such phrases as “go on” (“the gravel goes on the sieve”, 1%) or “stay on” (“the gravel stays on the sieve”, 4.1%).
With regard to the collocations used by learners in combination with the noun “water” to explain what will happen when it is separated from the gravel with the help of a sieve (see Figure 3), it can be observed from Table 3 that there was some difference between ENSs’ and ELLs’ use of verb collocations in this assessment task (p = 0.056). Among ELLs, the most frequent response type was leaving the response blank (50.5% ELLs vs. 22.3% ENSs). ENSs more frequently opted for the verb “go through” producing such sentences as “the water goes through the sieve”, which is a common idiomatic expression (31.3% ENS vs. 17.5% ELLs). There was a similar percentage of responses between ELLs and ENSs who offered an illegible response to the assessment task or those who produced responses unrelated to the assessment task (14.3% ENSs vs. 18.6% ELLs). Other idiomatic expressions used by both groups of learners were “pour out of” (4.5% ENSs and 3.1% ELLs); “drain out of” (4.5% vs. 1.0%); “go out of” (2.7% of ENSs and 2.1% of ELLs); “come out of”, “drain through”, ”fall through”, and “flow out” (1.8% ENSs vs. 1.0% ELLs); “stay in” (2.7% ENSs and 0% ELLs), and “travel through” (1.8% ENSs and 0% ELLs). A significant difference that can be derived from this finding is that ENSs appear to use a greater variety of verb + noun combinations with different prepositions. For example, idiomatic collocations such as “disappear through”, “drain away”, “drain from”, “dribble out”, “escape”, “fall out of”, “fit through”, “get separated from”, “move”, and “run out of” were used exclusively by ENSs. Language variations used by ELLs only were “leave”, “part out”, and “run through”.
Finally, with regard to responses produced by both groups of learners in response to the second assessment task, (see Figure 3) a significant difference was observed (p = 0.036). The standard response options expected for this type of task would typically involve production of such common collocations as “the salt dissolves in the water” or “a solution is formed”. Table 3 shows that, once again, leaving the response space blank was the preferred option among ELLs (40.2% ELLs vs. 19.6% ENSs). The most frequent response option among ENSs was “dissolve” (22.3% ENS vs. 8.2 ELLs). Table 3 also presents all instances of learners’ use of the word “dissolve”; even those where the word was misspelt: “disolve”, “desolve”, “dissvolwe” and “dizolve”. When percentages of all instances of the word “dissolve” are summed up, we observe that 42.9% of ENSs and 21.6% of ELLs chose the correct collocation. However, only 15.2% of ENSs and 10.3% ELLs spelt it correctly.
Responses that were illegible or had no relevance to the question accounted for 14.3% for ENSs and 10.6% for ELLs. Other scientifically incorrect responses included the use of the words “evaporate” (although salt can indeed evaporate and it is an idiomatic collocation, it did not fit within the purpose of the assessment task), “melt”, “disintegrate”, “disappear”, “mix in”, “turn salty water”, “become salt water”, “fizzes up”, “2go salty”, “2get salty” or “go fizzy”.

4. Discussion

The analysis of the data revealed that for the two assessed tasks on the topic of “separating solids and liquids”, there were significant differences between ELLs’ and ENSs’ use of idiomatic verbal collocations. Firstly, it is worth noting the most striking fact, which was the remarkably high percentage of ELLs who left all three responses blank: 50.5% for the first two questions and 40.2% for the third. This percentage was significantly lower for ENSs (23.2%, 23.2%, and 19.6%, respectively). According to [25], weak collocational knowledge may impact on reading decoding, reading being a key area of difficulty for ELL children. In other words, while, generally speaking, ELL children catch up with monolingual peers by late adolescence, their reading is often weaker than other academic skills such as Maths [15].
Moreover, ENSs tended to use a wider range of idiomatic collocations than ELLs. In line with [26] the limited exposure of the ELL children usually impacts on their collocational knowledge. When the percentage of ENSs who left the question blank or provided an illegible response was excluded from the analysis, we observed that for the first part of the first assessment task (explaining what happens to the gravel when it is separated from the water with a sieve), 60.7% of ENSs used an appropriate collocation (23.2% left it blank, and 16.1% provided illegible responses). “Stay in” was the most commonly used verbal collocation by ENSs. For the same assessment task, only 25.8% of ELLs used an appropriate idiomatic collocation (50.5% left it blank, 18.6% provided illegible responses, and 5.1% provided incorrect collocations). “Stay in” was also the most commonly used verbal collocation by ELLs. For the second part of the first assessment task (explaining what happens to the water when it is separated from the gravel with a sieve), 63.7% of ENSs provided an appropriate collocation (22.3% left it blank, and 14.5% provided illegible responses). “Go through” was the most commonly used verbal collocation by ENSs. However, only 30.9% of ELLs provided semantically appropriate collocations (50.5% left it blank, and 18.6% provided illegible responses). Again, “go through” was the most commonly used verbal collocation by ELLs.
For the second assessment task (explaining what happens to the salt when Ahmed mixes it with water), we observed that twice as many ENSs used an appropriate collocation compared to ELLs (42.9% of ENSs vs. 21.6% of ELLs). These responses included all uses of the word “dissolve”, including misspellings, but excluding response options that did not fit semantically into the requirements of the assessment task.
Probably unsurprisingly, ENSs produced a wider range of appropriate collocations when answering the assessment tasks. Specifically, for the first part of the first assessment task (i.e., the “gravel” section), ENSs used such collocations as “stay inside”, “be stuck”, “get caught”, “get separated from”, “stay into” or “travel through”; and for the second part of the first assessment task (i.e, the “water” section), they used collocations such as “disappear through”, “drain away”, “drain from”, “dribble out”, “escape”, “fall out of”, “fit through”, “get separated from”, “move”, and “run out of”. None of these collocations were used by ELLs. Research on children’s language development suggests that native-speaking children generally show a higher proficiency in producing idiomatic collocations compared to their non-native speaking peers; this lexical and semantic advantage in native speakers is due to their natural and immersive exposure to the language from birth, which allows them to internalize and use idiomatic expressions more effortlessly [24].
Finally, findings of our study also revealed that ELLs, unlike ENSs, had additional difficulties with correct usage of prepositions with specific verbs. Several studies explored the discrepancies in the use of verb prepositions by native and non-native children. Some research suggests that native children tend to use verb prepositions more accurately and proficiently than non-native children, especially for motion or fictive verbs, as they are exposed to the language from an early age and have a more comprehensive understanding of its grammar and syntax [27].

Limitations of the Study

Despite its strengths, our study had several limitations. Firstly, it analysed the language performance of a relatively small group of learners in a linguistically restricted setting (verb collocations with two nouns only) imposing restrictions on the extent to which our findings could be generalised to wider groups of the population. Secondly, the assessment questions themselves might not have elicited as rich samples of learner language data as they could have done had the questions been formulated differently. Analysing learner performance on a wider range of assessment tasks within the same topic could have further assisted an insightful interpretation of learner linguistic behaviour. Finally, analysing language performance of older learners, i.e., those studying at the secondary education phase, would have allowed us to elicit richer samples of data that could be contrasted with samples of learner data collected for this study (i.e., those for the primary educational phase), possibly resulting in a more profound understanding of the issues investigated in this paper.

5. Conclusions

Our study supports the assertion that differences exist in collocation use between ENSs and ELLs. ENSs tended to produce more natural collocations with motion verbs. ELLs, however, faced more challenges in producing idiomatic language. They also encountered more difficulties than ENSs in understanding assessment tasks’ instructions and/or in reporting subject-specific knowledge in response to the assessment tasks.
Drawing on these findings, we recommend that ELLs are provided with more explicit instruction and more exposure to the target language use in disciplinary contexts to help them develop collocational competences comparable to those of ENSs. This approach would allow the narrowing down of the linguistic competency gap between ENSs and ELLs. We believe that with exposure to appropriate and frequent language input in content classrooms and with ample opportunities for its practice, ELLs will gradually become able to develop their linguistic competencies to levels comparable to those performed by ENSs.
As highlighted above, it would be beneficial to further study the collocation patterns’ use by ENSs and ELLs in controlled settings. Such studies will provide us with valuable insights into how language development occurs in young ENSs and ELLs and will help us to better understand the factors that influence language development and language production in ELLs and ENSs in various educational settings.

Author Contributions

Conceptualization, M.B.-C. and O.A.; methodology, M.B.-C.; formal analysis, M.B.-C.; data curation, M.B.-C. and O.A.; writing—original draft preparation, M.B.-C.; writing—review and editing, O.A.; supervision, O.A.; funding acquisition, O.A. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by EAL-Science Project, 2013–2015 & 2018–2019.

Institutional Review Board Statement

The study received full ethical approval from the educational authorities under which it was conducted, namely the University of Sheffield and Lancaster University, prior to its implementation.

Informed Consent Statement

Informed written consent was obtained from all parents whose children were invited to participate in the study. Children were additionally consulted on their willingness to participate in the study. Where children expressed a preference not to take part in the study, despite their parents’ consent, their requests were satisfied. The study received full ethical approval from the educational authorities under which it was conducted.

Data Availability Statement

Data is unavailable due to privacy restrictions.

Acknowledgments

The authors want to thank learners, teachers and headteachers for their collaboration in this study.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. An overview of the composition of science assessment tasks by year group used in the main study. Note: Colour codes cluster science topics by year groups in which they are covered according to the National Curriculum for Science in England.
Figure 1. An overview of the composition of science assessment tasks by year group used in the main study. Note: Colour codes cluster science topics by year groups in which they are covered according to the National Curriculum for Science in England.
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Figure 2. Learner language background and self-assessment questionnaire.
Figure 2. Learner language background and self-assessment questionnaire.
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Figure 3. Questions of the assessment tasks.
Figure 3. Questions of the assessment tasks.
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Figure 4. Evaluation rubrics.
Figure 4. Evaluation rubrics.
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Table 1. Distribution of ELL and ENS learners by gender, school year, and school. Data are shown as frequency and percentage.
Table 1. Distribution of ELL and ENS learners by gender, school year, and school. Data are shown as frequency and percentage.
Overall
(n = 209)
ENS
(n = 112)
ELL
(n = 97)
Gender
Female105 (50.2)55 (49.1)50 (51.5)
Male104 (49.8)57 (50.9)47 (48.5)
School year
Year 598 (46.9)44 (39.3)54 (55.7)
Year 6111 (53.1)68 (60.7)43 (44.3)
Schools
School 128 (13.4)19 (17.0)9 (9.3)
School 227 (12.9)21 (18.8)6 (6.2)
School 329 (13.9)29 (25.6)-
School 449 (23.4)16 (14.3)33 (34.0)
School 535 (16.7)16 (14.3)19 (19.6)
School 641 (19.6)11 (9.8)30 (30.9)
Table 2. Verb collocations with “gravel”. Data are shown as frequency and percentage.
Table 2. Verb collocations with “gravel”. Data are shown as frequency and percentage.
Collocations with “Gravel”
OverallENSELLsp Value
blank75 (35.9)26 (23.2)49 (50.5)0.001
stay in66 (31.6)48 (42.9)18 (18.6)
non sense/others36 (17.2)18 (16.1)18 (18.6)
go through9 (4.3)5 (4.5)4 (4.1)
get stuck7 (3.3)5 (4.5)2 (2.1)
stay inside4 (1.9)4 (3.6)-
stay on *4 (1.9)-4 (4.1)
be left1 (0.5)-1 (1.0)
be stuck1 (0.5)1 (0.9)-
get caught1 (0.5)1 (0.9)-
get separated from1 (0.5)1 (0.9)-
go on *1 (0.5)-1 (1.0)
move1 (0.5)1 (0.9)-
stay into1 (0.5)1 (0.9)-
travel through1 (0.5)1 (0.9)-
Table 3. Verb collocations with “water”. Data are shown as frequency and percentage.
Table 3. Verb collocations with “water”. Data are shown as frequency and percentage.
Collocations with “Water”
OverallENSNon ENSp Value
blank74 (35.4)25 (22.3)49 (50.5)0.056
go through52 (24.9)35 (31.3)17 (17.5)
no sense/others34 (16.3)16 (14.3)18 (18.6)
pour out of8 (3.8)5 (4.5)3 (3.1)
drain out of6 (2.9)5 (4.5)1 (1.0)
go out of5 (2.4)3 (2.7)2 (2.1)
come out of3 (1.4)2 (1.8)1 (1.0)
drain through3 (1.4)2 (1.8)1 (1.0)
fall through3 (1.4)2 (1.8)1 (1.0)
flow out3 (1.4)2 (1.8)1 (1.0)
stay in3 (1.4)3 (2.7)-
travel through2 (1.0)2 (1.8)-
disappear through1 (0.5)1 (0.9)-
drain away1 (0.5)1 (0.9)-
drain from1 (0.5)1 (0.9)-
dribble out1 (0.5)1 (0.9)-
escape1 (0.5)1 (0.9)-
fall out of1 (0.5)1 (0.9)-
fit through1 (0.5)1 (0.9)-
get separated from1 (0.5)1 (0.9)-
leave1 (0.5)-1 (1.0)
move1 (0.5)1 (0.9)-
part out1 (0.5)-1 (1.0)
run out of 1 (0.5)1 (0.9)-
run through1 (0.5)-1 (1.0)
Table 4. Verb collocations with “salt”. Data are shown as frequency and percentage.
Table 4. Verb collocations with “salt”. Data are shown as frequency and percentage.
Collocations with “Salt”
OverallENSNon ENSp Value
blank61 (29.2)22 (19.6)39 (40.2)0.036
no sense35 (16.7)16 (14.3)19 (19.6)
disolve33 (15.8)25 (22.3)8 (8.2)
dissolve27 (12.9)17 (15.2)10 (10.3)
disappear *10 (4.8)6 (5.4)4 (4.1)
desolve7 (3.3)5 (4.5)2 (2.1)
evaporate *6 (2.9)5 (4.5)1 (1.0)
became salt water *5 (2.4)4 (3.6)1 (1.0)
mix in with/mix with water *5 (2.4)3 (2.7)2 (2.1)
turn salty/turn to salt water *5 (2.4)2 (1.8)3 (3.1)
get salty3 (1.4)1 (0.9)2 (2.1)
fizz up/fizz *3 (1.4)1 (0.9)2 (2.1)
melt *2 (1.0)1 (0.9)1 (1.0)
disintegrate *2 (1.0)2 (1.8)-
go fizzy *2 (1.0)-2 (2.1)
dissvolwe *1 (0.5)-1 (1.0)
dizolve *1 (0.5)1 (0.9)-
go salty *1 (0.5)1 (0.9)-
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Buendía-Castro, M.; Afitska, O. Primary School Pupils’ Use of Verb Collocations in Science Assessment: Patterns of Linguistic Behaviour by Language Background Factor. Educ. Sci. 2023, 13, 1208. https://doi.org/10.3390/educsci13121208

AMA Style

Buendía-Castro M, Afitska O. Primary School Pupils’ Use of Verb Collocations in Science Assessment: Patterns of Linguistic Behaviour by Language Background Factor. Education Sciences. 2023; 13(12):1208. https://doi.org/10.3390/educsci13121208

Chicago/Turabian Style

Buendía-Castro, Míriam, and Oksana Afitska. 2023. "Primary School Pupils’ Use of Verb Collocations in Science Assessment: Patterns of Linguistic Behaviour by Language Background Factor" Education Sciences 13, no. 12: 1208. https://doi.org/10.3390/educsci13121208

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