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Martin Abt; Katharina Loibl; Timo Leuders; Wim Van Dooren; Frank Reinhold – Educational Studies in Mathematics, 2025
In the boxplot, the box always represents -- regardless of its area -- the middle half of the data and thus a measure of variability (interquartile range). However, when students first learn about boxplots, they are usual already familiar with other forms of statistical representations (e.g., bar or circle graphs) in which a larger area represents…
Descriptors: College Students, Data Analysis, Graphs, Error Patterns
Ting Sun; Stella Yun Kim – Educational and Psychological Measurement, 2024
Equating is a statistical procedure used to adjust for the difference in form difficulty such that scores on those forms can be used and interpreted comparably. In practice, however, equating methods are often implemented without considering the extent to which two forms differ in difficulty. The study aims to examine the effect of the magnitude…
Descriptors: Difficulty Level, Data Interpretation, Equated Scores, High School Students
Tran, Dung; Tarr, James E. – International Journal of Science and Mathematics Education, 2018
Through the lenses of statistical investigations and cognitive demands, we examined bivariate data tasks offered in US high school mathematics textbook series--a popular representative of three curriculum types: traditional, integrated, and hybrid. We developed a framework grounded in literature of association topics for the inclusion and…
Descriptors: High Schools, Secondary School Mathematics, Mathematics Instruction, Textbooks
Reza Kachouie; Stephen Williams; Harsh Suri – Journal of Information Systems Education, 2024
In today's data-centric world, knowledge and skills in business analytics (BA) have become critical for business professionals to the extent that Foundation BA courses are increasingly being recognised globally as the core component of business programs. However, these courses are characterised by large cohorts of students from diverse backgrounds…
Descriptors: Business Education, Data Analysis, Business Administration, Courses
Tanya Mae Lamar – ProQuest LLC, 2023
The divide between those who do and those who do not excel in mathematics is patterned in problematic ways. Women and people of color are typically underrepresented in Science, Technology, Engineering, and Math (STEM) and other quantitative fields (ex. Finance) where mathematics plays gatekeeper. However, mathematics is not a subject these groups…
Descriptors: Data Science, STEM Education, High School Students, Student Attitudes
Arce-Ferrer, Alvaro J.; Bulut, Okan – Journal of Experimental Education, 2019
This study investigated the performance of four widely used data-collection designs in detecting test-mode effects (i.e., computer-based versus paper-based testing). The experimental conditions included four data-collection designs, two test-administration modes, and the availability of an anchor assessment. The test-level and item-level results…
Descriptors: Data Collection, Test Construction, Test Format, Computer Assisted Testing
Puncreobutr, Vichian; Rattanatumma, Tawachai – Journal of Education and Practice, 2016
The objective of this study was to identify the reasons for shortage of Mathematics teachers at Thai Basic Education level. This research is both quantitative and qualitative in nature. For the purpose of study, survey was conducted with senior high school students, in order to find out their willingness to pursue mathematics in Bachelor of…
Descriptors: Foreign Countries, Teacher Shortage, Mathematics Teachers, Secondary School Teachers
Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
Sutherland, Scot M.; White, Tobin F. – Journal of Learning Analytics, 2016
The development of the constraint-referenced analytics tool for monitoring algebra learning activities presented here came from the desire to firstly, take a more quantitative look at student responses in collaborative algebra activities, and secondly, to situate those activities in a more traditional introductory algebra setting focusing on…
Descriptors: Algebra, Learning Activities, Data Analysis, Cooperative Learning
Long, Caroline; Wendt, Heike – African Journal of Research in Mathematics, Science and Technology Education, 2017
South Africa participated in TIMSS from 1995 to 2015. Over these two decades, some positive changes have been reported on the aggregated mathematics performance patterns of South African learners. This paper focuses on the achievement patterns of South Africa's high-performing Grade 9 learners (n = 3378) in comparison with similar subsamples of…
Descriptors: Foreign Countries, Comparative Analysis, Multiplication, Comparative Education
Lamanauskas, Vincentas, Ed. – International Baltic Symposium on Science and Technology Education, 2019
These proceedings contain papers of the 3rd International Baltic Symposium on Science and Technology Education (BalticSTE2019) held in Šiauliai, Lithuania, June 17-19, 2019. This symposium was organized by the Scientific Methodical Center "Scientia Educologica" in cooperation with the Institute of Education, Šiauliai University. The…
Descriptors: Science Education, Technology Education, Formative Evaluation, Chemistry
Wyatt, Jeffrey N.; Wiley, Andrew; Camara, Wayne J.; Proestler, Nina – College Board, 2012
Academic intensity or academic rigor of students' high school curriculum is positively related to several college outcomes including the avoidance of remediation and graduation attainment. However, research on academic rigor has been limited possibly due to the difficulty in obtaining a quantitative measure applicable across schools and districts.…
Descriptors: Academic Standards, College Readiness, College Preparation, Difficulty Level
ACT, Inc., 2016
This report provides information about the performance of Arkansas' 2016 graduating seniors who took the ACT as sophomores, juniors, or seniors; and self-reported at the time of testing that they were scheduled to graduate in 2016. Beginning with the Graduating Class of 2013, all students whose scores are college reportable, both standard and…
Descriptors: Academic Achievement, Academic Aspiration, Academic Standards, Achievement Tests
ACT, Inc., 2016
This report provides information about the performance of Georgia's 2016 graduating seniors who took the ACT as sophomores, juniors, or seniors; and self-reported at the time of testing that they were scheduled to graduate in 2016. Beginning with the Graduating Class of 2013, all students whose scores are college reportable, both standard and…
Descriptors: Academic Achievement, Academic Aspiration, Academic Standards, Achievement Tests
ACT, Inc., 2016
This report provides information about the performance of Colorado's 2016 graduating seniors who took the ACT as sophomores, juniors, or seniors; and self-reported at the time of testing that they were scheduled to graduate in 2016. Beginning with the Graduating Class of 2013, all students whose scores are college reportable, both standard and…
Descriptors: Academic Achievement, Academic Aspiration, Academic Standards, Achievement Tests

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