Basic mathematical skills and fraction understanding predict percentage understanding: Evidence from an intelligent tutoring system DOI Open Access
Markus Spitzer, Miguel Ruiz-García, Korbinian Moeller

и другие.

Опубликована: Ноя. 18, 2022

Longitudinal studies indicated that basic mathematical skills (e.g., arithmetic operations) are a significant predictor of understanding fractions, which itself is critical for later academic and life prospects. However, it still unclear whether the other forms rational numbers, such as percentages, also predicted by particularly predictions reflected in data from intelligent tutoring systems (ITSs). Therefore, we leveraged large-scale dataset (2,798 students; working on 4.1 million problems) an ITS to predict percentage based (i.e., arithmetic, measurement units, geometry) fraction understanding. In first step, observed advanced geometry, well significantly Closer inspection second step was best problems with similar features word problems, fraction/natural number multiplication/division problems). Together, our results point practitioners software developers consider revision specific subtopics share students who face difficulties percentages.

Язык: Английский

Evaluating the content structure of intelligent tutor systems—A psychological network analysis DOI Creative Commons
Markus Spitzer, Lisa Bardach, Younes Strittmatter

и другие.

Computers and Education Open, Год журнала: 2024, Номер 7, С. 100198 - 100198

Опубликована: Июнь 18, 2024

The adoption of intelligent tutoring systems (ITSs) worldwide has led to a considerable accumulation process data as students interact with different learning topics within these systems. Typically, are structured ITSs (e.g., the fraction topic includes subtopics such number line subtopic). However, there is lack methods that offer quick, data-driven insights into content structure ITSs, particularly through easily accessible visualizations. Here, we applied psychological network analysis (230,241 students; 5,365,932 problem sets) from an ITS for mathematics explore performance interdependencies between 40 subtopics. We argue visualization allows quick empirical evaluation validity existing structuring respective content. These allow deriving recommendations concerning potential changes in and thus highly valuable developers. Our results also relevant researchers illustrated can contribute towards better understanding interplay mathematical skills. Together, our indicate represents method evaluate optimize ITSs.

Язык: Английский

Процитировано

5

Evaluating the content structure of intelligent tutor systems-a psychological network analysis DOI Open Access
Markus Spitzer, Lisa Bardach, Younes Strittmatter

и другие.

Опубликована: Май 30, 2024

The adoption of intelligent tutoring systems (ITSs) worldwide has led to a considerable accumulation process data as students interact with different learning topics within these systems. Typically, are structured ITSs (e.g., the fraction topic includes subtopics such number line subtopic). However, there is lack methods that offer quick, data-driven insights into content structure ITSs, particularly through easily accessible visualizations. Here, we applied psychological network analysis (230,241 students; 5,365,932 problem sets) from an ITS for mathematics explore performance interdependencies between 40 subtopics. We argue visualization allows quick empirical evaluation validity existing structuring respective content. These allow deriving recommendations concerning potential changes in and thus highly valuable developers. Our results also relevant researchers illustrated can contribute towards better understanding interplay mathematical skills. Together, our indicate represents method evaluate optimize ITSs.

Язык: Английский

Процитировано

1

Basic mathematical skills and fraction understanding predict percentage understanding: Evidence from an intelligent tutoring system DOI Creative Commons
Markus Spitzer, Miguel Ruiz-García, Korbinian Moeller

и другие.

British Journal of Educational Technology, Год журнала: 2024, Номер unknown

Опубликована: Авг. 27, 2024

Research on fostering learning about percentages within intelligent tutoring systems (ITSs) is limited. Additionally, there a lack of data‐driven approaches for improving the design ITS to facilitate percentages. To address these gaps, we first investigated whether students' understanding basic mathematical skills (eg, arithmetic, measurement units and geometry) fractions an predicts their We then applied psychological network analysis evaluate interdependencies data 44 subtopics concepts, leveraged large‐scale dataset consisting 2798 students using bettermarks working approximately 4.1 million problems. found that advanced units, geometry fraction significantly predicted percentage understanding. Closer inspection indicated was best by problems sharing similar features, such as word fraction/natural number multiplication/division Our findings suggest practitioners software developers may consider revising specific which share features with struggling More broadly, our study demonstrates how evaluating between covered approach can provide practical insights ITSs. Practitioner notes What already known this topic Longitudinal studies showed predict There only limited evidence predictions be observed understanding—in general systems. Process from pursue both educational research questions optimizing digital software. Problems involving typically are requiring multiplications and/or divisions. paper adds Similar case fractions, performance Students' also significantly. A range Multiplying dividing Adding subtracting Calculating ). Fraction turned out predictors Implications practice policy When facing difficulties percentages, revision previous concepts problems, problems) advised. Software implementing recommendations tutor Psychological utilized analytics method easy‐to‐access visualizations illustrating relationships large different subtopics.

Язык: Английский

Процитировано

1

Increased Performance in Tutoring Systems During COVID-19 in Uruguay DOI Open Access
Markus Spitzer, Lisa Bardach,

Myriel Kopatz

и другие.

Опубликована: Июнь 19, 2024

Background: COVID-19-related school closures globally disrupted students' education, leading to declines in academic performance. However, some studies also reported performance increases within intelligent tutoring systems (ITSs). Yet, the latter evidence stems exclusively from so-called “Western” countries (e.g., Germany). Hence, whether these findings generalize other parts of world remains unclear. Aim: We sought evaluate trajectories ITSs for learning mathematics during were similar students Germany and Uruguay—a country cultural context that has not yet received systematic research attention this line research.Samples: analyzed two longitudinal ITS datasets Uruguay (1,357 students; 38,673 problem sets) (8,751 328,948 sets).Methods: applied hierarchical linear regressions how affected both countries.Results: observed significant periods relative students’ same period previous years samples. These associated with usage, who used relatively more than before performing better. Conclusions: Our results indicate increased pertain highlight need diversify corroborate notion are a promising effective tool distance different regions world.

Язык: Английский

Процитировано

0

Achievements in arithmetic and measurement units predict fraction understanding in an additive and linear manner DOI Creative Commons
Markus Spitzer, Miguel Ruiz-García, Younes Strittmatter

и другие.

Cognitive Development, Год журнала: 2024, Номер 72, С. 101517 - 101517

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

0

Basic mathematical skills and fraction understanding predict percentage understanding: Evidence from an intelligent tutoring system DOI Open Access
Markus Spitzer, Miguel Ruiz-García, Korbinian Moeller

и другие.

Опубликована: Ноя. 18, 2022

Longitudinal studies indicated that basic mathematical skills (e.g., arithmetic operations) are a significant predictor of understanding fractions, which itself is critical for later academic and life prospects. However, it still unclear whether the other forms rational numbers, such as percentages, also predicted by particularly predictions reflected in data from intelligent tutoring systems (ITSs). Therefore, we leveraged large-scale dataset (2,798 students; working on 4.1 million problems) an ITS to predict percentage based (i.e., arithmetic, measurement units, geometry) fraction understanding. In first step, observed advanced geometry, well significantly Closer inspection second step was best problems with similar features word problems, fraction/natural number multiplication/division problems). Together, our results point practitioners software developers consider revision specific subtopics share students who face difficulties percentages.

Язык: Английский

Процитировано

1