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Zimmerman, Whitney Alicia; Kang, Hyun Bin; Kim, Kyung; Gao, Mengzhao; Johnson, Glenn; Clariana, Roy; Zhang, Fan – Journal of Statistics Education, 2018
Over two semesters short essay prompts were developed for use with the Graphical Interface for Knowledge Structure (GIKS), an automated essay scoring system. Participants were students in an undergraduate-level online introductory statistics course. The GIKS compares students' writing samples with an expert's to produce keyword occurrence and…
Descriptors: Undergraduate Students, Introductory Courses, Statistics, Computer Assisted Testing
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Adair, Desmond; Jaeger, Martin; Price, Owen M. – International Journal of Higher Education, 2018
The use of a portfolio curriculum approach, when teaching a university introductory statistics and probability course to engineering students, is developed and evaluated. The portfolio curriculum approach, so called, as the students need to keep extensive records both as hard copies and digitally of reading materials, interactions with faculty,…
Descriptors: Active Learning, Introductory Courses, Statistics, Probability
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Lem, Stephanie; Baert, Kathy; Ceulemans, Eva; Onghena, Patrick; Verschaffel, Lieven; Van Dooren, Wim – Educational Psychology, 2017
The ability to interpret graphs is highly important in modern society, but has proven to be a challenge for many people. In this paper, two teaching methods were used to remediate one specific misinterpretation: the area misinterpretation of box plots. First, we used refutational text to explicitly state and invalidate the area misinterpretation…
Descriptors: Graphs, Teaching Methods, Misconceptions, Statistical Data
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Kerby, April T.; Wroughton, Jacqueline R. – Statistics Education Research Journal, 2017
Statistics educators have been investigating how students' attitudes change in the introductory statistics course for many years. Typically, an overall decrease in mean attitudes over the course has been noted. However, when and how do students' attitudes change during the term? Do they steadily decrease or is there a point when students'…
Descriptors: Student Attitudes, Attitude Change, Course Content, Tests
Fry, Elizabeth Brondos – ProQuest LLC, 2017
Recommended learning goals for students in introductory statistics courses include the ability to recognize and explain the key role of randomness in designing studies and in drawing conclusions from those studies involving generalizations to a population or causal claims (GAISE College Report ASA Revision Committee, 2016). The purpose of this…
Descriptors: Introductory Courses, Statistics, Concept Formation, Sampling
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Howley, Peter; Roberts, Tim – Statistics Education Research Journal, 2020
This paper describes a national statistics-oriented project-based learning activity, which has been delivered annually for five years in Australia and the outcomes of a particular collaboration of this initiative with the discipline of environmental sustainability. The national initiative engages primary- and secondary-school students from varied…
Descriptors: Foreign Countries, Student Projects, Learning Activities, Active Learning
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Liao, Ying; Lin, Wen-He – EURASIA Journal of Mathematics, Science & Technology Education, 2016
In the era when digitalization is pursued, numbers are the major medium of information performance and statistics is the primary instrument to interpret and analyze numerical information. For this reason, the cultivation of fundamental statistical literacy should be a key in the learning area of mathematics at the stage of compulsory education.…
Descriptors: Academic Achievement, Memory, Computer Assisted Instruction, Statistics
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Hartnett, Jessica L. – Teaching of Psychology, 2016
This article describes two class activities that introduce the concept of data mining and very basic data mining analyses. Assessment data suggest that students learned some of the conceptual basics of data mining, understood some of the ethical concerns related to the practice, and were able to perform correlations via the Statistical Package for…
Descriptors: Data Collection, Information Retrieval, Statistical Analysis, Statistics
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Lee, Victor R.; Drake, Joel R.; Thayne, Jeffrey L. – IEEE Transactions on Learning Technologies, 2016
Wearable activity tracking devices associated with the Quantified Self movement have potential benefit for educational settings because they produce authentic and granular data about activities and experiences already familiar to youth. This article explores how that potential could be realized through explicit acknowledgment of and response to…
Descriptors: Elementary School Students, Physical Activities, Measurement Equipment, Grade 5
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Siswono, Tatag Yuli Eko; Hartono, Sugi; Kohar, Ahmad Wachidul – Eurasian Journal of Educational Research, 2018
Purpose: This study aimed at investigating the effectiveness of implementing Project Based Learning (PBL) on the topic of statistics at a lower secondary school in Surabaya city, Indonesia, indicated by examining student learning outcomes, student responses, and student activity. Research Methods: A quasi experimental method was conducted over two…
Descriptors: Student Projects, Active Learning, Teaching Methods, Pretests Posttests
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Schwaighofer, Matthias; Bühner, Markus; Fischer, Frank – Journal of Educational Psychology, 2016
Worked examples have proven to be effective for knowledge acquisition compared with problem solving, particularly when prior knowledge is low (e.g., Kalyuga, 2007). However, in addition to prior knowledge, executive functions and fluid intelligence might be potential moderators of the effectiveness of worked examples. The present study examines…
Descriptors: Executive Function, Short Term Memory, Intelligence, Knowledge Level
Liu, Ran; Koedinger, Kenneth R. – International Educational Data Mining Society, 2015
A growing body of research suggests that accounting for student specific variability in educational data can improve modeling accuracy and may have implications for individualizing instruction. The Additive Factors Model (AFM), a logistic regression model used to fit educational data and discover/refine skill models of learning, contains a…
Descriptors: Models, Regression (Statistics), Learning, Classification
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Bulgarelli, Federica; Weiss, Daniel J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
Previous research has revealed that when learners encounter multiple artificial languages in succession only the first is learned, unless there are contextual cues correlating with the change in structure or if exposure to the second language is protracted. These experiments provided a fixed amount of exposure irrespective of when learning…
Descriptors: Statistics, Primacy Effect, Undergraduate Students, Introductory Courses
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Seloraji, Pavethira; Eu, Leong Kwan – Malaysian Online Journal of Educational Technology, 2017
Students in this era need to grasp the concept of geometry instead of memorizing formulae. This is important for them to further their knowledge in geometry. The purpose of the research was to determine whether GeoGebra software influences year one students' performance in geometrical reflection. The research utilized an experimental research…
Descriptors: Academic Achievement, Reflection, Geometric Concepts, Geometry
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McCulloch, Ryan Sterling – International Journal of Higher Education, 2017
The role of any statistics course is to increase the understanding and comprehension of statistical concepts and those goals can be achieved via both theoretical instruction and statistical software training. However, many introductory courses either forego advanced software usage, or leave its use to the student as a peripheral activity. The…
Descriptors: Statistics, Mathematics Instruction, Introductory Courses, Computer Software
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