首页 > 最新文献

Learning and Individual Differences最新文献

英文 中文
Measuring secondary education students' self-regulated learning processes with digital trace data
IF 3.8 1区 心理学 Q1 PSYCHOLOGY, EDUCATIONAL Pub Date : 2025-02-01 DOI: 10.1016/j.lindif.2024.102625
Joni Lämsä , Susanne de Mooij , Olli Aksela , Shruti Athavale , Inti Bistolfi , Roger Azevedo , Maria Bannert , Dragan Gasevic , Inge Molenaar , Sanna Järvelä
This study investigates secondary education students' self-regulated learning (SRL) processes with digital trace data, particularly whether SRL processes found in secondary education are comparable to those observed in higher education. We therefore adapted a digital learning environment and rule-based AI algorithm originally designed to measure SRL in higher education and collected multi-trace data from 13-year-old students (N = 179) across three European countries during an essay-writing task. Hidden Markov modeling was employed to capture latent SRL processes. Four latent SRL processes emerged: orientation, first-reading, writing, and re-reading combined with monitoring. By clustering sequences of these latent SRL processes, we identified four sequential patterns of SRL processes at the task level: writing with metacognitive monitoring, writing intensively, reading first, writing next, and reading and writing simultaneously. Our findings highlight how AI and multi-trace data can be used to measure SRL during learning, providing a basis for enhancing personalized support.

Educational relevance and implications statement

Self-regulated learning (SRL) is vital in the digital world. In this study, we investigated secondary education students' SRL processes with digital trace data. We also demonstrated that the instrumentation of a digital learning environment and rule-based AI algorithm originally designed to measure SRL processes in higher education can be leveraged to measure SRL processes in secondary education students. The real-time measurement of covert SRL processes is important as this information can 1) raise students' awareness on their learning, 2) help teachers to support students' learning, and 3) form the basis for providing personalized support for these processes with the help of AI-enhanced learning technologies.
{"title":"Measuring secondary education students' self-regulated learning processes with digital trace data","authors":"Joni Lämsä ,&nbsp;Susanne de Mooij ,&nbsp;Olli Aksela ,&nbsp;Shruti Athavale ,&nbsp;Inti Bistolfi ,&nbsp;Roger Azevedo ,&nbsp;Maria Bannert ,&nbsp;Dragan Gasevic ,&nbsp;Inge Molenaar ,&nbsp;Sanna Järvelä","doi":"10.1016/j.lindif.2024.102625","DOIUrl":"10.1016/j.lindif.2024.102625","url":null,"abstract":"<div><div>This study investigates secondary education students' self-regulated learning (SRL) processes with digital trace data, particularly whether SRL processes found in secondary education are comparable to those observed in higher education. We therefore adapted a digital learning environment and rule-based AI algorithm originally designed to measure SRL in higher education and collected multi-trace data from 13-year-old students (<em>N</em> = 179) across three European countries during an essay-writing task. Hidden Markov modeling was employed to capture latent SRL processes. Four latent SRL processes emerged: orientation, first-reading, writing, and re-reading combined with monitoring. By clustering sequences of these latent SRL processes, we identified four sequential patterns of SRL processes at the task level: writing with metacognitive monitoring, writing intensively, reading first, writing next, and reading and writing simultaneously. Our findings highlight how AI and multi-trace data can be used to measure SRL during learning, providing a basis for enhancing personalized support.</div></div><div><h3>Educational relevance and implications statement</h3><div>Self-regulated learning (SRL) is vital in the digital world. In this study, we investigated secondary education students' SRL processes with digital trace data. We also demonstrated that the instrumentation of a digital learning environment and rule-based AI algorithm originally designed to measure SRL processes in higher education can be leveraged to measure SRL processes in secondary education students. The real-time measurement of covert SRL processes is important as this information can 1) raise students' awareness on their learning, 2) help teachers to support students' learning, and 3) form the basis for providing personalized support for these processes with the help of AI-enhanced learning technologies.</div></div>","PeriodicalId":48336,"journal":{"name":"Learning and Individual Differences","volume":"118 ","pages":"Article 102625"},"PeriodicalIF":3.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143181493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
When struggling readers meet the screen – A secondary analysis of ePIRLS 2016 data
IF 3.8 1区 心理学 Q1 PSYCHOLOGY, EDUCATIONAL Pub Date : 2025-02-01 DOI: 10.1016/j.lindif.2024.102623
Oscar Skovdahl , Ladislao Salmerón , Øistein Anmarkrud
Despite past efforts to investigate how students' interactions with digital devices shape their digital reading comprehension skills, we still need more knowledge about struggling readers in digital reading contexts. Previous research has shown that digital reading comprehension is negatively associated with general digital device usage and positively associated with some academic digital reading activities in the general student population. We used data from ePIRLS 2016 to investigate whether such patterns are related differently to struggling and nonstruggling readers. For struggling readers, we found that digital reading comprehension was negatively associated with the general use of digital devices for schoolwork. There was no statistically significant relationship between academic digital reading activities and digital reading comprehension. In contrast, this relationship was positively associated with digital reading comprehension among nonstruggling readers. We discuss how typical digital classroom activities may be differently related to digital reading comprehension depending on students' print reading comprehension skills.
{"title":"When struggling readers meet the screen – A secondary analysis of ePIRLS 2016 data","authors":"Oscar Skovdahl ,&nbsp;Ladislao Salmerón ,&nbsp;Øistein Anmarkrud","doi":"10.1016/j.lindif.2024.102623","DOIUrl":"10.1016/j.lindif.2024.102623","url":null,"abstract":"<div><div>Despite past efforts to investigate how students' interactions with digital devices shape their digital reading comprehension skills, we still need more knowledge about struggling readers in digital reading contexts. Previous research has shown that digital reading comprehension is negatively associated with general digital device usage and positively associated with some academic digital reading activities in the general student population. We used data from ePIRLS 2016 to investigate whether such patterns are related differently to struggling and nonstruggling readers. For struggling readers, we found that digital reading comprehension was negatively associated with the general use of digital devices for schoolwork. There was no statistically significant relationship between academic digital reading activities and digital reading comprehension. In contrast, this relationship was positively associated with digital reading comprehension among nonstruggling readers. We discuss how typical digital classroom activities may be differently related to digital reading comprehension depending on students' print reading comprehension skills.</div></div>","PeriodicalId":48336,"journal":{"name":"Learning and Individual Differences","volume":"118 ","pages":"Article 102623"},"PeriodicalIF":3.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143181495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Corrigendum to “A longitudinal quasi-experiment of leaderboard effectiveness on learner behaviors and course performance” [Learning and Individual Differences (2024), volume 116, 102572]
IF 3.8 1区 心理学 Q1 PSYCHOLOGY, EDUCATIONAL Pub Date : 2025-02-01 DOI: 10.1016/j.lindif.2025.102636
Nga Do, Tao Jin , Reed Priest , Liza N. Meredith, Richard N. Landers
{"title":"Corrigendum to “A longitudinal quasi-experiment of leaderboard effectiveness on learner behaviors and course performance” [Learning and Individual Differences (2024), volume 116, 102572]","authors":"Nga Do,&nbsp;Tao Jin ,&nbsp;Reed Priest ,&nbsp;Liza N. Meredith,&nbsp;Richard N. Landers","doi":"10.1016/j.lindif.2025.102636","DOIUrl":"10.1016/j.lindif.2025.102636","url":null,"abstract":"","PeriodicalId":48336,"journal":{"name":"Learning and Individual Differences","volume":"118 ","pages":"Article 102636"},"PeriodicalIF":3.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143402946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
When mistakes instruct: Explaining errors in diagrams supports comprehension for low spatial individuals
IF 3.8 1区 心理学 Q1 PSYCHOLOGY, EDUCATIONAL Pub Date : 2025-02-01 DOI: 10.1016/j.lindif.2025.102632
Allison J. Jaeger
Learning from expository science text is challenging and often relies on spatial thinking skills to build an accurate mental model of the phenomena being described. Generative learning strategies have been shown to support improved text comprehension and may be especially beneficial for students with low spatial skills who struggle to generate spatial mental models. The present set of studies examined the effect of sketching versus explaining errors in diagrams on science text comprehension. Further, this work examined if the impacts of these generative learning activities interacted with spatial thinking skills. In Study 1, generating sketches or explaining erroneous diagrams resulted in lower comprehension compared to an active control condition. In Study 2, the generative learning activities were adapted to reduce extraneous cognitive processing and an additional erroneous examples condition with highlighted errors was included. Results demonstrated that explaining highlighted errors supported comprehension compared to generating sketches or copying correct diagrams. There was an interaction with spatial skills such that high spatial students demonstrated improved comprehension in the sketch and copy conditions, whereas students with high and low spatial students performed equally in the highlighted erroneous examples condition. These findings demonstrate that explaining errors in diagrams can support science text comprehension, and that this type of learning activity may rely less on spatial thinking skills.

Educational relevance and implications statement

Learning from expository science text is challenging and often relies on spatial thinking skills to build an accurate mental model of the phenomena being described. The goal of the present study was to examine the impact of different generative learning strategies on science text comprehension and how the impact of those strategies interacts with individual differences in spatial thinking skills. The results indicated that having students explain errors in example diagrams supported comprehension and was a more effective learning strategy for individuals with low spatial thinking skills than generating sketches. These results suggest that science instruction can be adapted to provide more support for students with lower spatial skills, which could ultimately have implications for increasing diversity and representation in the STEM pipeline.
{"title":"When mistakes instruct: Explaining errors in diagrams supports comprehension for low spatial individuals","authors":"Allison J. Jaeger","doi":"10.1016/j.lindif.2025.102632","DOIUrl":"10.1016/j.lindif.2025.102632","url":null,"abstract":"<div><div>Learning from expository science text is challenging and often relies on spatial thinking skills to build an accurate mental model of the phenomena being described. Generative learning strategies have been shown to support improved text comprehension and may be especially beneficial for students with low spatial skills who struggle to generate spatial mental models. The present set of studies examined the effect of sketching versus explaining errors in diagrams on science text comprehension. Further, this work examined if the impacts of these generative learning activities interacted with spatial thinking skills. In Study 1, generating sketches or explaining erroneous diagrams resulted in lower comprehension compared to an active control condition. In Study 2, the generative learning activities were adapted to reduce extraneous cognitive processing and an additional erroneous examples condition with highlighted errors was included. Results demonstrated that explaining highlighted errors supported comprehension compared to generating sketches or copying correct diagrams. There was an interaction with spatial skills such that high spatial students demonstrated improved comprehension in the sketch and copy conditions, whereas students with high and low spatial students performed equally in the highlighted erroneous examples condition. These findings demonstrate that explaining errors in diagrams can support science text comprehension, and that this type of learning activity may rely less on spatial thinking skills.</div></div><div><h3>Educational relevance and implications statement</h3><div>Learning from expository science text is challenging and often relies on spatial thinking skills to build an accurate mental model of the phenomena being described. The goal of the present study was to examine the impact of different generative learning strategies on science text comprehension and how the impact of those strategies interacts with individual differences in spatial thinking skills. The results indicated that having students explain errors in example diagrams supported comprehension and was a more effective learning strategy for individuals with low spatial thinking skills than generating sketches. These results suggest that science instruction can be adapted to provide more support for students with lower spatial skills, which could ultimately have implications for increasing diversity and representation in the STEM pipeline.</div></div>","PeriodicalId":48336,"journal":{"name":"Learning and Individual Differences","volume":"118 ","pages":"Article 102632"},"PeriodicalIF":3.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143273648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
What is creative in childhood writing? Computationally measured linguistic characteristics explain much of the variance in subjective human-rated creativity scores 什么是儿童写作的创造性?计算测量的语言特点可以解释人类主观评定的创造力分数的大部分差异
IF 3.8 1区 心理学 Q1 PSYCHOLOGY, EDUCATIONAL Pub Date : 2025-02-01 DOI: 10.1016/j.lindif.2025.102626
Birsu Kandemirci , Roger E. Beaty , Dan Johnson , Bonamy R. Oliver , Yulia Kovas , Teemu Toivainen
The present study investigated the extent to which linguistic features of children's stories (analysed using automated techniques), predicted human-rated Creative Expressiveness and Logic scores (both assessed with the Consensual Assessment Technique). A sample of 160 children (Mage = 8.99 years, SD = 0.3) wrote stories based on three pictures. Eleven linguistic characteristics were measured: Length, Grammar, Originality, Controlled Lexical Diversity, Uncontrolled Lexical Diversity, Divergent Semantic Integration (DSI), Referential Cohesion, Narrativity, Syntactic Simplicity, Word Concreteness and Deep Cohesion. The results showed that 51 % of the variance in Creative Expressiveness was explained by Length, DSI, Originality, Grammar, and Controlled Lexical Diversity (sr2 = 0.01 to 0.14). In comparison, 28 % of the variance in Logic scores was accounted for by DSI, Grammar, Controlled Lexical Diversity, Syntactic Simplicity, and Narrativity (sr2 = 0.01 to 0.06). These findings offer insights for educational practices by identifying the linguistic characteristics relevant to children's creative writing as opposed to logical narration.
{"title":"What is creative in childhood writing? Computationally measured linguistic characteristics explain much of the variance in subjective human-rated creativity scores","authors":"Birsu Kandemirci ,&nbsp;Roger E. Beaty ,&nbsp;Dan Johnson ,&nbsp;Bonamy R. Oliver ,&nbsp;Yulia Kovas ,&nbsp;Teemu Toivainen","doi":"10.1016/j.lindif.2025.102626","DOIUrl":"10.1016/j.lindif.2025.102626","url":null,"abstract":"<div><div>The present study investigated the extent to which linguistic features of children's stories (analysed using automated techniques), predicted human-rated Creative Expressiveness and Logic scores (both assessed with the Consensual Assessment Technique). A sample of 160 children (Mage = 8.99 years, SD = 0.3) wrote stories based on three pictures. Eleven linguistic characteristics were measured: Length, Grammar, Originality, Controlled Lexical Diversity, Uncontrolled Lexical Diversity, Divergent Semantic Integration (DSI), Referential Cohesion, Narrativity, Syntactic Simplicity, Word Concreteness and Deep Cohesion. The results showed that 51 % of the variance in Creative Expressiveness was explained by Length, DSI, Originality, Grammar, and Controlled Lexical Diversity (<em>sr</em><sup>2</sup> = 0.01 to 0.14). In comparison, 28 % of the variance in Logic scores was accounted for by DSI, Grammar, Controlled Lexical Diversity, Syntactic Simplicity, and Narrativity (<em>sr</em><sup>2</sup> = 0.01 to 0.06). These findings offer insights for educational practices by identifying the linguistic characteristics relevant to children's creative writing as opposed to logical narration.</div></div>","PeriodicalId":48336,"journal":{"name":"Learning and Individual Differences","volume":"118 ","pages":"Article 102626"},"PeriodicalIF":3.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143181490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Experimental evidence for rule learning as the underlying source of the item-position effect in reasoning ability measures
IF 3.8 1区 心理学 Q1 PSYCHOLOGY, EDUCATIONAL Pub Date : 2025-02-01 DOI: 10.1016/j.lindif.2024.102622
Helene M. von Gugelberg , Karl Schweizer , Stefan J. Troche
For adequate description of reasoning test data, the consideration of the item-position effect (IPE) as a second latent variable in addition to reasoning ability is often required. The present study investigated the assumption that the learning of rules underlies the IPE. The factorial structure of two figural analogies tests was compared. 429 participants (age: 18–56 years) were randomly assigned to two conditions. In the continuous rule condition, the same rule had to be applied to all items and a typical IPE emerged. In the discontinuous rule condition, rules suddenly changed for the last items. This change led to the disruption of the IPE. A third latent variable was required to describe variance in the last items. Thus, the repetition of rules seems to be a precondition for a continuous IPE across test items. This is first evidence beyond correlations that individual differences in rule learning underlie the IPE.

Educational relevance

Reasoning tests are frequently used as an indicator of (general) intelligence and are valuable predictors of academic achievement. Our online experiment provides evidence for the notion that individual differences in reasoning tests are influenced by ad hoc rule learning during test taking that can be described as a latent variable and separated from the innate reasoning ability. These findings highlight the importance of not only looking at the overall performance but paying more attention to the dynamics of the test taking process itself.
{"title":"Experimental evidence for rule learning as the underlying source of the item-position effect in reasoning ability measures","authors":"Helene M. von Gugelberg ,&nbsp;Karl Schweizer ,&nbsp;Stefan J. Troche","doi":"10.1016/j.lindif.2024.102622","DOIUrl":"10.1016/j.lindif.2024.102622","url":null,"abstract":"<div><div>For adequate description of reasoning test data, the consideration of the item-position effect (IPE) as a second latent variable in addition to reasoning ability is often required. The present study investigated the assumption that the learning of rules underlies the IPE. The factorial structure of two figural analogies tests was compared. 429 participants (age: 18–56 years) were randomly assigned to two conditions. In the continuous rule condition, the same rule had to be applied to all items and a typical IPE emerged. In the discontinuous rule condition, rules suddenly changed for the last items. This change led to the disruption of the IPE. A third latent variable was required to describe variance in the last items. Thus, the repetition of rules seems to be a precondition for a continuous IPE across test items. This is first evidence beyond correlations that individual differences in rule learning underlie the IPE.</div></div><div><h3>Educational relevance</h3><div>Reasoning tests are frequently used as an indicator of (general) intelligence and are valuable predictors of academic achievement. Our online experiment provides evidence for the notion that individual differences in reasoning tests are influenced by ad hoc rule learning during test taking that can be described as a latent variable and separated from the innate reasoning ability. These findings highlight the importance of not only looking at the overall performance but paying more attention to the dynamics of the test taking process itself.</div></div>","PeriodicalId":48336,"journal":{"name":"Learning and Individual Differences","volume":"118 ","pages":"Article 102622"},"PeriodicalIF":3.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143181491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Memorizing plans with an app: Large individual differences in the effectiveness of retrieval-based and generative learning activities in a naturalistic context
IF 3.8 1区 心理学 Q1 PSYCHOLOGY, EDUCATIONAL Pub Date : 2025-02-01 DOI: 10.1016/j.lindif.2025.102641
Daniel Biedermann , Jasmin Breitwieser , Lea Nobbe , Hendrik Drachsler , Garvin Brod
What are effective learning activities in mobile, real-world contexts? We compared three learning activities in a planning app for children. The activities differed in their intended cognitive engagement according to the ICAP framework: a passive reading activity, an active retrieval activity, and a generative activity. Children (N = 106, 9–14 years) used the app to memorize one plan per day for 27 days. Unexpectedly, neither the retrieval activity nor the generative activity was associated with better overall recall than the passive activity. However, time spent on these activities and reported positive attitudes toward them moderated their effectiveness. Motivational and developmental factors predicted time spent on the retrieval and generative activities, and time on task in turn predicted their effectiveness. These findings suggest that the effectiveness of learning activities in real-world contexts depends on the ability and willingness of learners to engage with them repeatedly over time.
在现实世界的移动环境中,什么是有效的学习活动?我们比较了儿童规划应用程序中的三种学习活动。根据 ICAP 框架,这些活动在预期的认知参与方面有所不同:一种是被动阅读活动,一种是主动检索活动,还有一种是生成活动。儿童(106 人,9-14 岁)使用该应用程序在 27 天内每天记忆一个计划。出乎意料的是,检索活动和生成活动的总体记忆效果都没有被动活动好。然而,在这些活动上花费的时间和报告的对这些活动的积极态度调节了它们的效果。动机和发展因素预测了检索和生成活动所花费的时间,而完成任务的时间反过来又预测了它们的有效性。这些研究结果表明,真实世界情境中学习活动的有效性取决于学习者长期反复参与这些活动的能力和意愿。
{"title":"Memorizing plans with an app: Large individual differences in the effectiveness of retrieval-based and generative learning activities in a naturalistic context","authors":"Daniel Biedermann ,&nbsp;Jasmin Breitwieser ,&nbsp;Lea Nobbe ,&nbsp;Hendrik Drachsler ,&nbsp;Garvin Brod","doi":"10.1016/j.lindif.2025.102641","DOIUrl":"10.1016/j.lindif.2025.102641","url":null,"abstract":"<div><div>What are effective learning activities in mobile, real-world contexts? We compared three learning activities in a planning app for children. The activities differed in their intended cognitive engagement according to the ICAP framework: a passive reading activity, an active retrieval activity, and a generative activity. Children (<em>N</em> = 106, 9–14 years) used the app to memorize one plan per day for 27 days. Unexpectedly, neither the retrieval activity nor the generative activity was associated with better overall recall than the passive activity. However, time spent on these activities and reported positive attitudes toward them moderated their effectiveness. Motivational and developmental factors predicted time spent on the retrieval and generative activities, and time on task in turn predicted their effectiveness. These findings suggest that the effectiveness of learning activities in real-world contexts depends on the ability and willingness of learners to engage with them repeatedly over time.</div></div>","PeriodicalId":48336,"journal":{"name":"Learning and Individual Differences","volume":"118 ","pages":"Article 102641"},"PeriodicalIF":3.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143181138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Stability of early number sense competencies for predicting mathematics difficulties 预测数学困难的早期数感能力的稳定性
IF 3.8 1区 心理学 Q1 PSYCHOLOGY, EDUCATIONAL Pub Date : 2025-02-01 DOI: 10.1016/j.lindif.2025.102633
Amber Beliakoff , Nancy Jordan , Alice Klein , Brianna Devlin , Chun-Wei Huang
Significant individual differences in children's number competencies exist in early childhood, and these competencies can have long-term implications for academic and economic success (National Research Council, 2009). The present study assessed the classification accuracy of the Screener for Early Number Sense (SENS), a screening tool grounded in an evidence-informed conceptual model of number sense that is designed for children in pre-kindergarten (pre-K), kindergarten, and first grade. A cohort of 450 children was assessed on the SENS, followed by a standardized mathematics achievement measure one year later. Receiver operating characteristic (ROC) curve analyses indicated that the SENS effectively differentiated children who went on to show math difficulties (MD) from those without MD. Accuracy rate was acceptable for pre-K, kindergarten, and first grade. An analysis of SENS performance over time categorized by MD risk status revealed differing patterns of growth across the pre-K vs. kindergarten year. These collective findings underscore the importance of math screening as early as pre-K.

Educational relevance

Educators need reliable and valid tools to identify young children who may be at risk for mathematics learning difficulties. The present study presents a number sense screener that accurately predicts pre-kindergarten, kindergarten, and first grade students' later mathematical difficulties. The study demonstrates how screener results and prevalence rates can be used to identify individual-level student risk and to make subsequent instructional decisions across varying schools or districts.
{"title":"Stability of early number sense competencies for predicting mathematics difficulties","authors":"Amber Beliakoff ,&nbsp;Nancy Jordan ,&nbsp;Alice Klein ,&nbsp;Brianna Devlin ,&nbsp;Chun-Wei Huang","doi":"10.1016/j.lindif.2025.102633","DOIUrl":"10.1016/j.lindif.2025.102633","url":null,"abstract":"<div><div>Significant individual differences in children's number competencies exist in early childhood, and these competencies can have long-term implications for academic and economic success (National Research Council, 2009). The present study assessed the classification accuracy of the Screener for Early Number Sense (SENS), a screening tool grounded in an evidence-informed conceptual model of number sense that is designed for children in pre-kindergarten (pre-K), kindergarten, and first grade. A cohort of 450 children was assessed on the SENS, followed by a standardized mathematics achievement measure one year later. Receiver operating characteristic (ROC) curve analyses indicated that the SENS effectively differentiated children who went on to show math difficulties (MD) from those without MD. Accuracy rate was acceptable for pre-K, kindergarten, and first grade. An analysis of SENS performance over time categorized by MD risk status revealed differing patterns of growth across the pre-K vs. kindergarten year. These collective findings underscore the importance of math screening as early as pre-K.</div></div><div><h3>Educational relevance</h3><div>Educators need reliable and valid tools to identify young children who may be at risk for mathematics learning difficulties. The present study presents a number sense screener that accurately predicts pre-kindergarten, kindergarten, and first grade students' later mathematical difficulties. The study demonstrates how screener results and prevalence rates can be used to identify individual-level student risk and to make subsequent instructional decisions across varying schools or districts.</div></div>","PeriodicalId":48336,"journal":{"name":"Learning and Individual Differences","volume":"118 ","pages":"Article 102633"},"PeriodicalIF":3.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143181141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Early predictors of mathematics learning difficulty in rural Chinese children
IF 3.8 1区 心理学 Q1 PSYCHOLOGY, EDUCATIONAL Pub Date : 2025-02-01 DOI: 10.1016/j.lindif.2025.102630
Yingyi Liu , Xiao Zhang , Nan Xiao
Mathematics learning difficulty (MLD) can be manifested in the early years of primary school, yet its early indicators remain largely unexplored, particularly in the context of rural children. This study sought to address this gap by investigating the early predictors of MLD in rural Chinese children. The first wave of assessments conducted on 106 rural preschoolers (aged 40–60 months) encompassed IQ, spatial skills, short-term and working memory, visual attention, and vocabulary. Two years later, in Grade 1, their mathematics achievement was assessed, leading to the identification of 26 children with MLD (25 % percentile cut-off). After adjusting for age, it was found that children with MLD scored lower on preschool measures of spatial skills and visual attention compared to their typically achieving peers. Logistic regression analyses further revealed that lower preschool visual attention scores were indicative of a higher MLD probability in Grade 1. Also, a longer duration of boarding preschool attendance was associated with a lower MLD probability. This study thus provides novel insights into early cognitive and contextual factors that contribute to the later identification of MLD in rural Chinese children.

Educational relevance and implications statement

The present study revealed that disparities in spatial skills and visual attention, measured in preschool, differentiated rural Chinese children with and without mathematics learning difficulty (MLD). Additionally, visual attention and boarding school experience during preschool appeared to be uniquely predictive of the likelihood of MLD two years later. Practically, visual attention could be considered to be included in the early screening tools to detect children potentially at risk of developing MLD, at least in rural Chinese settings. Moreover, despite concerns about the well-being of children receiving institutionalized residential childcare at a young age, the practice of boarding during preschool in rural China appears to exert some beneficial effects on children's math development.
数学学习困难(MLD)可在小学低年级表现出来,但其早期指标在很大程度上仍未被探索,尤其是在农村儿童的背景下。本研究试图通过调查中国农村儿童数学学习困难的早期预测指标来弥补这一空白。研究对106名农村学龄前儿童(40-60个月)进行了第一轮评估,评估内容包括智商、空间技能、短期记忆和工作记忆、视觉注意力和词汇量。两年后,在一年级时,对他们的数学成绩进行了评估,最终确定了 26 名患有小儿麻痹症的儿童(百分位数为 25%)。在对年龄进行调整后发现,与成绩一般的同龄儿童相比,患有小儿麻痹症的儿童在学前空间技能和视觉注意力方面的得分较低。逻辑回归分析进一步显示,较低的学前视觉注意力得分预示着一年级有较高的 MLD 概率。此外,在寄宿学前班就读的时间越长,患失智症的概率就越低。本研究揭示了学龄前儿童在空间技能和视觉注意力方面存在的差异,这些差异区分了有数学学习困难(MLD)和没有数学学习困难(MLD)的中国农村儿童。此外,学前时期的视觉注意力和寄宿学校经历似乎对两年后出现数学学习困难的可能性具有独特的预测作用。实际上,至少在中国农村地区,视觉注意力可被视为早期筛查工具的一部分,以发现有可能患上小儿麻痹症的儿童。此外,尽管人们对幼年时接受机构寄宿式保育的儿童的健康状况表示担忧,但在中国农村地区,学龄前寄宿的做法似乎对儿童的数学发展产生了一些有益的影响。
{"title":"Early predictors of mathematics learning difficulty in rural Chinese children","authors":"Yingyi Liu ,&nbsp;Xiao Zhang ,&nbsp;Nan Xiao","doi":"10.1016/j.lindif.2025.102630","DOIUrl":"10.1016/j.lindif.2025.102630","url":null,"abstract":"<div><div>Mathematics learning difficulty (MLD) can be manifested in the early years of primary school, yet its early indicators remain largely unexplored, particularly in the context of rural children. This study sought to address this gap by investigating the early predictors of MLD in rural Chinese children. The first wave of assessments conducted on 106 rural preschoolers (aged 40–60 months) encompassed IQ, spatial skills, short-term and working memory, visual attention, and vocabulary. Two years later, in Grade 1, their mathematics achievement was assessed, leading to the identification of 26 children with MLD (25 % percentile cut-off). After adjusting for age, it was found that children with MLD scored lower on preschool measures of spatial skills and visual attention compared to their typically achieving peers. Logistic regression analyses further revealed that lower preschool visual attention scores were indicative of a higher MLD probability in Grade 1. Also, a longer duration of boarding preschool attendance was associated with a lower MLD probability. This study thus provides novel insights into early cognitive and contextual factors that contribute to the later identification of MLD in rural Chinese children.</div></div><div><h3>Educational relevance and implications statement</h3><div>The present study revealed that disparities in spatial skills and visual attention, measured in preschool, differentiated rural Chinese children with and without mathematics learning difficulty (MLD). Additionally, visual attention and boarding school experience during preschool appeared to be uniquely predictive of the likelihood of MLD two years later. Practically, visual attention could be considered to be included in the early screening tools to detect children potentially at risk of developing MLD, at least in rural Chinese settings. Moreover, despite concerns about the well-being of children receiving institutionalized residential childcare at a young age, the practice of boarding during preschool in rural China appears to exert some beneficial effects on children's math development.</div></div>","PeriodicalId":48336,"journal":{"name":"Learning and Individual Differences","volume":"118 ","pages":"Article 102630"},"PeriodicalIF":3.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143181488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multilevel student-perceived teaching practices profiles: Associations with competence beliefs, task value, behavioral engagement, and academic achievement
IF 3.8 1区 心理学 Q1 PSYCHOLOGY, EDUCATIONAL Pub Date : 2025-02-01 DOI: 10.1016/j.lindif.2025.102631
Elizabeth Olivier , Benoit Galand , Jessica Bélanger , Alexandre J.S. Morin
The study assesses student perceptions of their teachers' practices and their associations with motivational and academic achievement. Multilevel latent profile analyses (3710 grade 9 students, 245 classrooms) identified five profiles at the student level: Average with focus on rules (20.50 %), Average with focus on need-support (30.45 %), Differential treatment (18.86 %), Need-support and differential treatment (11.70 %), and High-on-all (18.50 %). Students corresponding to the High-on-all profile reported the most positive outcomes. We identified three profiles at the classroom level: Mostly differential treatment (20.75 %), which was associated with the worst outcomes, Average and high-on-all (41.20 %), and Mostly need-supportive (38.06 %).

Educational Relevance Statement

This study has implications for initial and continuing teacher training. By identifying profiles of teaching practices perceived by students and classrooms, the study informs what combinations of practices are positively associated with different aspects of student motivation and achievement, according to their perceptions. The findings also contribute to understanding that some practices (e.g., differential treatment), generally thought to deplete student motivation, might not need to be proscribed as long as they are counterbalanced with high levels of other positive practices (e.g., need supportive practices and rule enforcement).
{"title":"Multilevel student-perceived teaching practices profiles: Associations with competence beliefs, task value, behavioral engagement, and academic achievement","authors":"Elizabeth Olivier ,&nbsp;Benoit Galand ,&nbsp;Jessica Bélanger ,&nbsp;Alexandre J.S. Morin","doi":"10.1016/j.lindif.2025.102631","DOIUrl":"10.1016/j.lindif.2025.102631","url":null,"abstract":"<div><div>The study assesses student perceptions of their teachers' practices and their associations with motivational and academic achievement. Multilevel latent profile analyses (3710 grade 9 students, 245 classrooms) identified five profiles at the student level: <em>Average with focus on rules</em> (20.50 %), <em>Average with focus on need-support</em> (30.45 %), <em>Differential treatment</em> (18.86 %), <em>Need-support and differential treatment</em> (11.70 %), and <em>High-on-all</em> (18.50 %). Students corresponding to the <em>High-on-all</em> profile reported the most positive outcomes. We identified three profiles at the classroom level: <em>Mostly differential treatment</em> (20.75 %), which was associated with the worst outcomes, <em>Average and high-on-all</em> (41.20 %), and <em>Mostly need-supportive</em> (38.06 %).</div></div><div><h3>Educational Relevance Statement</h3><div>This study has implications for initial and continuing teacher training. By identifying profiles of teaching practices perceived by students and classrooms, the study informs what combinations of practices are positively associated with different aspects of student motivation and achievement, according to their perceptions. The findings also contribute to understanding that some practices (e.g., differential treatment), generally thought to deplete student motivation, might not need to be proscribed as long as they are counterbalanced with high levels of other positive practices (e.g., need supportive practices and rule enforcement).</div></div>","PeriodicalId":48336,"journal":{"name":"Learning and Individual Differences","volume":"118 ","pages":"Article 102631"},"PeriodicalIF":3.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143181492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Learning and Individual Differences
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1