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Ava Greenwood; Michael Jennings – Australian Mathematics Education Journal, 2023
This paper reports on university students' responses to an inverse proportion question. The authors conclude that inverse proportion is a difficult concept that requires constant reinforcement, using approaches to teaching that facilitate deeper conceptual understanding.
Descriptors: Mathematical Concepts, Mathematics Instruction, College Students, College Mathematics
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
Carmel Mesiti, Editor; Wee Tiong Seah, Editor; Berinderjeet Kaur, Editor; Cath Pearn, Editor; Anthony Jones, Editor; Scott Cameron, Editor; Emma Every, Editor; Kate Copping, Editor – Springer, 2024
This book provides a critical review of research in mathematics education published in or about the Australasian region in the four years from 2020 to 2023. Research in Mathematics Education in Australasia 2020-2023 (RiMEA 2020-2023) is the eleventh edition of the four-yearly review of mathematics education research in Australasia. It is compiled…
Descriptors: Foreign Countries, Mathematics Education, Educational Research, Relevance (Education)
Woolcott, Geoff; Galligan, Linda; Whannell, Robert; Marshman, Margaret; Axelsen, Taryn; Schmalz, Jelena; Sultanova, Nargiz – Mathematics Education Research Journal, 2021
This study provides an overview of the support provided for academic numeracy for first-year students across six Australian regional universities. Survey analysis of university academics provided an overview of the approaches used in academic numeracy in diverse cohorts. Further investigations via semi-structured interviews and secondary data were…
Descriptors: Numeracy, College Freshmen, Undergraduate Students, Foreign Countries
Snead, Suzanne L.; Walker, Lyndon; Loch, Birgit – International Journal of Mathematical Education in Science and Technology, 2022
In Australian universities, mathematics is often an essential core subject for disciplines such as engineering, information technology and science. These first-year mathematics subjects may have large enrolments of which a significant number fail the subject and repeat. While interventions to retain students are common, those who have failed…
Descriptors: Foreign Countries, College Mathematics, Mathematics Achievement, College Freshmen
Chigeza, Philemon – Australian Journal of Teacher Education, 2022
The study investigated first-year preservice teachers' affective, conative, cognitive, social, and physical wellbeing in a mathematics education subject at a regional university in Far North Queensland. Data collected included pre and post surveys with forty-nine preservice teachers, and interviews with preservice teachers and teacher educators.…
Descriptors: Foreign Countries, Preservice Teachers, College Freshmen, Well Being
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
Clisby, Nathan; Edwards, Antony – International Journal of Mathematical Education in Science and Technology, 2022
In this classroom note, we outline a system of assessment used by the authors since 2020 to deliver individualized summative assessments to students from first- and second-year mathematics courses. Our system comprises three modular components allowing a mix-and-match of different technological approaches and mathematical question types. First is…
Descriptors: Student Evaluation, Summative Evaluation, College Students, College Mathematics
Wares, Arsalan – Australian Mathematics Education Journal, 2021
The purpose of this article is to describe a couple of challenging mathematical problems that involve paper folding. These problem solving tasks can be used to foster geometric and algebraic thinking among students. The context of paper folding makes some of the abstract mathematical ideas involved relatively concrete. When implemented…
Descriptors: Mathematics Instruction, Teaching Methods, Problem Solving, Manipulative Materials
Industry-Based, Transdisciplinary, Complex Problems as Realistic Settings for Applying the M in STEM
Czaplinski, Iwona; Turner, Ian W.; Helmstedt, Kate; Corry, Paul; Mallet, Dann G. – International Journal of Mathematical Education in Science and Technology, 2021
In this paper, we consider the perceived effectiveness of using industry-based transdisciplinary, complex problems as a vehicle for final year undergraduate mathematics students to apply their knowledge and skills in realistic settings, preparing them for the world of work. The discussion centres on a recently designed, implemented and evaluated…
Descriptors: College Mathematics, College Seniors, Undergraduate Students, Relevance (Education)
Khosravi, Hassan; Shabaninejad, Shiva; Bakharia, Aneesha; Sadiq, Shazia; Indulska, Marta; Gasevic, Dragan – Journal of Learning Analytics, 2021
Learning analytics dashboards commonly visualize data about students with the aim of helping students and educators understand and make informed decisions about the learning process. To assist with making sense of complex and multidimensional data, many learning analytics systems and dashboards have relied strongly on AI algorithms based on…
Descriptors: Learning Analytics, Visual Aids, Artificial Intelligence, Information Retrieval