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Isihara, Paul; Congdon, Elisabeth; Perciante, Terry – PRIMUS, 2018
Within the undergraduate mathematics curriculum, the topic of simple least-squares linear regression is often first encountered in multi-variable calculus where the line of best fit is obtained by using partial derivatives to find the slope and y-intercept of the line that minimizes the residual sum of squares. A markedly different approach from…
Descriptors: Undergraduate Study, College Mathematics, Mathematics Instruction, Least Squares Statistics
Diebolt, Claude; Hippe, Ralph – Education Economics, 2018
In a recent contribution, Redding and Schott [2003. "Distance, Skill Deepening and Development: Will Peripheral Countries Ever Get Rich?" "Journal of Development Economics": 72 (2): 515-541. doi:10.1016/S0304-3878(03)00118-4] add human capital to a two sector NEG model, highlighting that remoteness represents a penalty that…
Descriptors: Human Capital, Rural Areas, Regression (Statistics), Foreign Countries
DeAngelis, Corey A. – Journal of School Choice, 2018
I employ ordered probit regression and a new instrumental variable to compare the Fall 2015 parental satisfaction survey results of open-enrollment charters to district-conversion charters. Choice status in Arkansas charter schools is largely beneficial to parental satisfaction. Specifically, parents with children in open-enrollment charters had…
Descriptors: School Choice, Parent Attitudes, Satisfaction, Charter Schools
Ramos Salazar, Leslie – Decision Sciences Journal of Innovative Education, 2018
Because business statistics students often experience a lack of statistical motivation, business educators need to understand the factors that influence students' motivation levels in undergraduate-level business statistics courses. The purpose of this study was to examine the role of math self-efficacy and self-compassion on students' motivation…
Descriptors: Mathematics Skills, Self Efficacy, Statistics, Student Motivation
Ow-Yeong, Yook Kit; Yeter, Ibrahim H.; Ali, Farhan – International Journal of STEM Education, 2023
Data literacy is increasingly important in today's data-driven world. Students across many educational systems first formally learn about data in elementary school not as a separate subject but via the mathematics curriculum. This experience can create tensions in the priorities of learning and assessment given the presence of other foundational…
Descriptors: Foreign Countries, Statistics Education, Elementary School Mathematics, Mathematics Curriculum
Wang, Yu; Chiu, Chia-Yi; Köhn, Hans Friedrich – Journal of Educational and Behavioral Statistics, 2023
The multiple-choice (MC) item format has been widely used in educational assessments across diverse content domains. MC items purportedly allow for collecting richer diagnostic information. The effectiveness and economy of administering MC items may have further contributed to their popularity not just in educational assessment. The MC item format…
Descriptors: Multiple Choice Tests, Nonparametric Statistics, Test Format, Educational Assessment
Hashim, Rosnani; Aldaba, Abdulmajid M. A.; Haneef, Mohamed Aslam M.; Noordin, Mohamad Fauzan – Malaysian Journal of Learning and Instruction, 2023
Purpose: The importance of the affective domain in holistic human development, in particular empathy, is an increasing concern today especially after the Covid-19 pandemic. The purpose of this study was threefold: (1) to investigate the attitudes of school students toward competencies associated with human consciousness; (2) to validate the…
Descriptors: Empathy, Secondary School Students, Least Squares Statistics, Foreign Countries
Rodríguez-Ferreiro, Javier; Vadillo, Miguel A.; Barberia, Itxaso – Teaching of Psychology, 2023
Background: We have previously presented two educational interventions aimed to diminish causal illusions and promote critical thinking. In both cases, these interventions reduced causal illusions developed in response to active contingency learning tasks, in which participants were able to decide whether to introduce the potential cause in each…
Descriptors: Sampling, Inferences, Psychology, Undergraduate Students
Logacev, Pavel – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
A number of studies have found evidence for the so-called "ambiguity advantage," that is, faster processing of ambiguous sentences compared with unambiguous counterparts. While a number of proposals regarding the mechanism underlying this phenomenon have been made, the empirical evidence so far is far from unequivocal. It is compatible…
Descriptors: Phrase Structure, Accuracy, Ambiguity (Semantics), Sentences
Dvir, Michal; Ben-Zvi, Dani – Mathematical Thinking and Learning: An International Journal, 2023
Employing a statistical modeling inspired pedagogy is becoming a widespread practice in the statistics education community. Many have incorporated the practice of formulating conjectures in their modeling-enhanced educational designs and have reported on its benefits. We further elucidate the mechanism through which students' conjecturing may be…
Descriptors: Mathematics Instruction, Teaching Methods, Statistics Education, Instructional Design
Butler, Robert C.; Blair, Christopher D.; Newman, Rae Ette; Batchelor, Leah L – Teaching Statistics: An International Journal for Teachers, 2023
This study compared the effectiveness of teaching a distance education statistics course using a computer-aided personalized system of instruction (CAPSI) in comparison to a distance education course that used video lectures. Data were collected between 2017 and 2022. Two-hundred and sixty-eight students were included in the sample. Results…
Descriptors: Mastery Learning, Statistics Education, Online Courses, Teaching Methods
Hadfield, Kimberleigh Felix – Statistics Education Research Journal, 2023
Implementing formative assessment in large-enrollment statistics courses is recommended by mathematics and statistics education communities. Yet research maintains that large-enrollment courses employ few, if any, formative assessments, exacerbating negative attitudes toward statistics and low student achievement. This conceptual essay applies an…
Descriptors: Formative Evaluation, Introductory Courses, Statistics Education, Large Group Instruction
Spencer, Dan; Griffith, Emily; Briska, Kayla; Post, Justin; Willis, Chris – Statistics Education Research Journal, 2023
The current study aimed to understand not only students' attitudes towards statistics, but also their beliefs about their ability to perform statistical tasks (self-efficacy), the value they place on carrying out course and statistical tasks (task value), and the level of effort they perceive when engaging in these tasks (cost) across a semester…
Descriptors: Introductory Courses, Statistics Education, Student Attitudes, Self Efficacy
Grajdura, Sarah; Niemeier, Deb – Journal of Civil Engineering Education, 2023
Addressing societal issues in civil and environmental engineering increasingly requires skills in data science and programming. To date, there is not much known about the extent students are learning these skills in current civil and environmental engineering curricula. We conducted a survey of accredited civil and environmental engineering…
Descriptors: Civil Engineering, Engineering Education, Social Problems, Programming Languages
Domu, Ichdar; Pinontoan, Kinzie Feliciano; Mangelep, Navel Oktaviandy – Journal of Education and e-Learning Research, 2023
This study aimed to improve students' literacy skills in carrying out distance learning and examine the effect of problem-based learning in reverse online classes on statistical literacy skills in distance learning. This research was conducted during the COVID-19 pandemic at Prisma University and Manado State University with 198 students taking…
Descriptors: Problem Based Learning, Online Courses, Flipped Classroom, Distance Education

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