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Lindsy E. Lethbridge; Alex D. Marshall; Michael Jauch – British Journal of Educational Psychology, 2024
Background: Students often harbour negative attitudes towards research methods and statistics courses, and such attitudes may be associated with harmful cognitive and behavioural responses. Research on these effects has been restricted to the investigation of direct links between attitudes towards statistics, statistics anxiety, academic…
Descriptors: Statistics, Mathematics Achievement, Mathematics Anxiety, Time Management
Mullen, Claire; Pettigrew, Jim; Cronin, Anthony; Rylands, Leanne; Shearman, Donald – International Journal of Mathematical Education in Science and Technology, 2022
The dramatic changes brought on by the COVID-19 pandemic have changed the way in which mathematics and statistics support is offered. Students and staff have been presented with new opportunities and challenges. One-on-one interviews were conducted late in 2020 with 23 students and staff who had experience with fully online mathematics and…
Descriptors: College Mathematics, Academic Support Services, Statistics, Interpersonal Relationship
Dzator, Michael; Dzator, Janet – Teaching Mathematics and Its Applications, 2020
The Mathematics and Statistics Support Centre (MSSC) at Central Queensland University (CQU), which is part of the Academic Learning Centre (ALC), has been in operation since 1984 as the first MSSC in Australia. The Mathematics Learning Support (MLS) centres have spread to almost every university in Australia currently. The MSSC at CQU offers free…
Descriptors: Academic Support Services, College Mathematics, Statistics, Foreign Countries
Muir, Sam; Tirlea, Loredana; Elphinstone, Brad; Huynh, Minh – Journal of Statistics Education, 2020
The use of online student response systems (OSRSs) is increasing within tertiary education providers, however, research investigating their potential to enhance student engagement is limited. The aim of the current study was to examine the impact of an OSRS using an experimental crossover design. Quantitative data measuring student engagement was…
Descriptors: Learner Engagement, Audience Response Systems, Internet, Undergraduate Students
Intepe, Gizem; Shearman, Don – Statistics Education Research Journal, 2020
Students in many Australian universities start their studies mathematically underprepared as there are no prerequisites for mathematics, and assumed knowledge requirements are often overlooked. Many degrees include at least one statistics subject for which students require a reasonable level of mathematical ability to successfully complete.…
Descriptors: Statistics, Academic Support Services, Mathematics Anxiety, Foreign Countries
Chiesi, Francesca; Primi, Caterina; Bilgin, Ayse Aysin; Lopez, Maria Virginia; del Carmen Fabrizio, Maria; Gozlu, Sitki; Tuan, Nguyen Minh – Journal of Psychoeducational Assessment, 2016
The aim of the current study was to provide evidence that an abbreviated version of the Approaches and Study Skills Inventory for Students (ASSIST) was invariant across different languages and educational contexts in measuring university students' learning approaches to statistics. Data were collected on samples of university students attending…
Descriptors: Learning Strategies, Statistics, Undergraduate Students, Introductory Courses
Reaburn, Robyn – Mathematics Education Research Group of Australasia, 2013
Measures of centre (the mean, median and mode) are fundamental to the discipline of statistics. Yet previous research shows that students may not have a thorough conceptual understanding of these measures, even though these statistics are easy to calculate. This study describes the findings of a study of pre-service teachers' ideas of measure of…
Descriptors: Preservice Teachers, Mathematical Concepts, Measurement, Statistics
Richardson, Alice M.; Dunn, Peter K.; Hutchins, Rene – International Journal of Mathematical Education in Science and Technology, 2013
Lexical ambiguity arises when a word from everyday English is used differently in a particular discipline, such as statistics. This paper reports on a project that begins by identifying tutors' perceptions of words that are potentially lexically ambiguous to students, in two different ways. Students' definitions of nine lexically ambiguous words…
Descriptors: Ambiguity (Semantics), Statistics, Introductory Courses, Mathematics Instruction
Reaburn, Robyn – Mathematics Education Research Group of Australasia, 2012
One of the common tasks of inferential statistics is to compare two data sets. Long before formal statistical procedures, however, students can be encouraged to make comparisons between data sets and therefore build up intuitive statistical reasoning. Such tasks also give meaning to the data collection students may do. This study describes the…
Descriptors: Statistics, Comparative Analysis, Mathematics Instruction, College Mathematics
Dunn, Peter K.; McDonald, Christine; Loch, Birgit – International Journal of Mathematical Education in Science and Technology, 2015
Students who are studying introductory statistics units but are enrolled in non-statistics majors often struggle with the content, and do not stay engaged. Support structures are in place at many Australian universities to help these students. Most of these are face-to-face support centres that the students can visit during opening hours. To…
Descriptors: Statistics, Mathematics Instruction, Lecture Method, Educational Technology
Neumann, David L.; Hood, Michelle; Neumann, Michelle M. – Statistics Education Research Journal, 2013
Many teachers of statistics recommend using real-life data during class lessons. However, there has been little systematic study of what effect this teaching method has on student engagement and learning. The present study examined this question in a first-year university statistics course. Students (n = 38) were interviewed and their reflections…
Descriptors: Foreign Countries, Statistics, Mathematics Instruction, College Mathematics
Hood, Michelle; Creed, Peter A.; Neumann, David L. – Statistics Education Research Journal, 2012
We tested a model of the relationship between attitudes toward statistics and achievement based on Eccles' Expectancy Value Model (1983). Participants (n = 149; 83% female) were second-year Australian university students in a psychology statistics course (mean age = 23.36 years, SD = 7.94 years). We obtained demographic details, past performance,…
Descriptors: Undergraduate Students, Psychology, Student Attitudes, Statistics
Pitchforth, Jegar; Beames, Stephanie; Thomas, Aleysha; Falk, Matthew; Farr, Charisse; Gasson, Susan; Thamrin, Sri Astuti; Mengersen, Kerrie – Journal of the Scholarship of Teaching and Learning, 2012
Completing a PhD on time is a complex process, influenced by many interacting factors. In this paper we take a Bayesian Network approach to analyzing the factors perceived to be important in achieving this aim. Focusing on a single research group in Mathematical Sciences, we develop a conceptual model to describe the factors considered to be…
Descriptors: Doctoral Degrees, Time to Degree, Bayesian Statistics, Network Analysis
Dunn, Peter K.; Richardson, Alice; McDonald, Christine; Oprescu, Florin – International Journal of Mathematical Education in Science and Technology, 2012
Student engagement at first-year level is critical for student achievement, retention and success. One way of increasing student engagement is to use a classroom response system (CRS), the use of which has been associated with positive educational outcomes by fostering student engagement and by allowing immediate feedback to both students and…
Descriptors: Audience Response Systems, Teacher Attitudes, Student Attitudes, Statistics
Neumann, David L. – International Journal for Technology in Mathematics Education, 2010
Interactive computer-based simulations have been applied in several contexts to teach statistical concepts in university level courses. In this report, the use of interactive simulations as part of summative assessment in a statistics course is described. Students accessed the simulations via the web and completed questions relating to the…
Descriptors: Feedback (Response), Statistics, Internet, Computer Simulation
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