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Showing 1 to 15 of 38 results Save | Export
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Jessica L. Alzen; Ilana M. Trumble; Kimberly J. Cho; Eric A. Vance – Journal of Statistics and Data Science Education, 2024
Data science is inherently collaborative as individuals across fields and sectors use quantitative data to answer relevant questions. As a result, there is a growing body of research regarding how to teach interdisciplinary collaboration skills. However, much of the work evaluating methods of teaching statistics and data science collaboration…
Descriptors: Statistics Education, Cooperation, Interdisciplinary Approach, Comparative Analysis
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Robert Zheng – International Association for Development of the Information Society, 2024
The current examined the roles of cognitive strategies using Chi's framework in mobile learning. Three conditions (active, constructive, and interactive) were created for a college statistics I course where students were randomly assigned to each condition. The results indicate constructive and interactive support students' problem solving and…
Descriptors: Cognitive Processes, Creative Thinking, Telecommunications, Handheld Devices
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Genady Kogan; Hadas Chassidim; Irina Rabaev – Educational Technology Research and Development, 2024
The main goal of this study was to evaluate the impact of an animation and visualization of data structures (AVDS) tool on both perceptions and objective test performance. The study involved a rigorous experiment that assessed the usability, acceptability, and effectiveness of the AVDS tool in solving exercises. A total of 78 participants…
Descriptors: Animation, Teaching Methods, Instructional Effectiveness, Learning Experience
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Ung Hua Lau; Zaidatun Tasir – Educational Technology Research and Development, 2024
An online authentic learning environment (OnALE) is proposed in this study to facilitate students' learning of inferential statistics in a real-life context. The efficacy of the OnALE, in comparison to the conventional approach relative to the students' performance, was explored. Respondents from the experimental group were purposively selected to…
Descriptors: Online Courses, Authentic Learning, Academic Achievement, Comparative Analysis
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Jennifer Hill; George Perrett; Stacey A. Hancock; Le Win; Yoav Bergner – Grantee Submission, 2024
Most current statistics courses include some instruction relevant to causal inference. Whether this instruction is incorporated as material on randomized experiments or as an interpretation of associations measured by correlation or regression coefficients, the way in which this material is presented may have important implications for…
Descriptors: Statistics Education, Teaching Methods, Attribution Theory, Undergraduate Students
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Tanti Listiani – International Society for Technology, Education, and Science, 2023
Learning loss due to online learning has caused students to experience a decrease in their ability to solve mathematical problems. One of the declines in students' mathematical problem-solving skills occurred in the statistics course. Statistics as a branch of mathematics has an important role in training students' skills in processing and…
Descriptors: Mathematics Instruction, Problem Solving, Statistics Education, Comparative Analysis
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Msweli, Nkosikhona Theoren; Mawela, Tendani; Twinomurinzi, Hossana – Journal of Information Technology Education: Research, 2023
Aim/Purpose: This study aimed to evaluate the extant research on data science education (DSE) to identify the existing gaps, opportunities, and challenges, and make recommendations for current and future DSE. Background: There has been an increase in the number of data science programs especially because of the increased appreciation of data as a…
Descriptors: Statistics Education, Educational Change, Futures (of Society), Educational Trends
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Mireles, Amanda – Teaching Sociology, 2023
In this article, I ask to what extent first-generation college students experience statistics anxiety and what are effective pedagogical strategies for building student confidence and encouraging learning. To answer these questions, I draw on the wide-ranging and developing literature on blended teaching methods--most commonly defined as the…
Descriptors: Blended Learning, Statistics Education, Anxiety, Reading Comprehension
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Liujie Xu; Xuefei Zou; Yuxue Hou – Journal of Computer Assisted Learning, 2024
Background: Data literacy (DL) is vital for teachers, as it enables them to build on data and improve teaching and learning. Therefore, developing DL among pre-service teachers is critical. Objectives: The purpose of this study is threefold: to evaluate whether a feedback visualisation of peer assessment-based teaching approach (FVPA-based…
Descriptors: Statistics Education, Comparative Analysis, Preservice Teachers, Teacher Education Programs
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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
Kit Harris Clement – ProQuest LLC, 2023
Statistical association is a key facet of statistical literacy: claims based on relationships between variables or ideas rooted in data are found everywhere in media and discourse. A key development in introductory statistics curricula is the use of simulation-based inference, which has shown positive outcomes for students, especially in regards…
Descriptors: Statistics Education, Regression (Statistics), Teaching Methods, Introductory Courses
Margaret Byrns – ProQuest LLC, 2023
Research has indicated that undergraduate students struggle with conceptual understanding of confidence intervals, negatively impacting statistical literacy skills, and advocates have suggested the flipped classroom pedagogy as a potential solution. The purpose of this nonequivalent control group quasi-experimental study was to determine if a…
Descriptors: Flipped Classroom, Statistics Education, Teaching Methods, Introductory Courses
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Sarah Huber; Frank Reinhold; Andreas Obersteiner; Kristina Reiss – Statistics Education Research Journal, 2024
Research suggests teachers have positive motivational and emotional orientations regarding statistics but little statistical knowledge. How does this fit together? Since teachers' professional competence in statistics has not been well explored, we asked 88 in-service mathematics teachers about their orientations regarding teaching statistics and…
Descriptors: Statistics Education, Pedagogical Content Knowledge, Gender Differences, Anxiety
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Benson, Wendi L.; Dunning, Jonathan P.; Barber, Danette – Teaching of Psychology, 2022
Background: Research shows distributed practice enhances learning and skill development, but less is known about the effect on perceptions and attitudes toward the material being learned. Objective: This study examined whether distributed practice could improve performance and attitudes in statistics, a subject that students report finding…
Descriptors: Teaching Methods, Student Attitudes, Comparative Analysis, Anxiety
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Reiser, Elana – Mathematics Teacher: Learning and Teaching PK-12, 2021
The two most popular decision-making processes are tossing a coin and playing rock, paper, scissors. In the activity described in this article, students find the theoretical probabilities of winning a coin toss and a round of the rock, paper, scissors game. They next devise strategies to win and test them out. Students then compare the theoretical…
Descriptors: Probability, Mathematics Instruction, Decision Making, Learning Activities
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