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Autumn Pham; Eva Thanheiser; Kathryn E. Roman; Molly L. Robinson – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
We investigated the development of students' sociopolitical consciousness via engagement in a mathematical activity purposefully designed around understanding the unemployment rate in the US. Qualitative data was collected from 12 university seniors participating in an online capstone class. Results showed that students: (1) further developed…
Descriptors: College Seniors, Mathematics Instruction, Capstone Experiences, Authentic Learning
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Juliana E. Raffaghelli; Bonnie Stewart – OTESSA Conference Proceedings, 2021
In the higher education context, an increasing concern on the technical or instrumental approach permeates attention to academics' data literacies and faculty development. The need for data literacy to deal specifically with the rise of learning analytics in higher education has been raised by some authors, though in spite of some focus on the…
Descriptors: Statistics Education, Faculty Development, Higher Education, Learning Analytics
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Willan, Momodou M. – Bulgarian Comparative Education Society, 2016
Conducting research can present a range of challenges for students because of the complex skills and knowledge required to have critical engagement with the entire research process. This paper looks at what was involved in shaping the research journey that I am currently undertaking at a Higher Education Institution (HEI). The focus is on research…
Descriptors: College Students, Student Research, Research Methodology, Student Experience
Cunningham, Jim – International Educational Data Mining Society, 2015
In this paper, I describe preliminary work on a new research project in learning analytics at Arizona State University. In conjunction with an innovative remedial mathematics course using Khan Academy and student coaches, this study seeks to measure the effectiveness of visualized data in assisting student coaches as they help remedial math…
Descriptors: Research Projects, Remedial Mathematics, Coaching (Performance), Visual Aids
Tsuji, Bruce H.; Lindgaard, Gitte – International Association for Development of the Information Society, 2014
This research compared undergraduate Novices and PhD Experts in psychology and business in their exploration of psychology and business domain graphs. An overall expertise effect in graph explanation was found. Results indicated that Novices paused longer than Experts before beginning their explanations. Qualitative analyses showed that Experts…
Descriptors: Graphs, Data Interpretation, Comparative Analysis, Novices
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Sevimli, Eyup; Delice, Ali – North American Chapter of the International Group for the Psychology of Mathematics Education, 2014
This study explored how the challenges encountered during integral sign determination process change after various learning processes. In this comparative investigation which is based on qualitative data, the students in the CAS group were subjected to technology enhanced teaching whereas the students in the traditional group were subjected to the…
Descriptors: Mathematics Education, Mathematics Instruction, Computer Assisted Instruction, Mathematical Concepts
Eybers, Sunet; Hattingh, Mariè – International Association for Development of the Information Society, 2016
Data is everywhere. As a result the need for data scientists with the correct skill set to analyze and interpret the data has escalated. Not surprisingly, data scientists are currently one of the most wanted professions. Tertiary institutions are faced with the challenge of producing students with the correct blend of theoretical knowledge and…
Descriptors: Foreign Countries, Graduate Students, Data Analysis, Statistics
Mellody, Maureen – National Academies Press, 2014
As the availability of high-throughput data-collection technologies, such as information-sensing mobile devices, remote sensing, internet log records, and wireless sensor networks has grown, science, engineering, and business have rapidly transitioned from striving to develop information from scant data to a situation in which the challenge is now…
Descriptors: Workshops, Training, Competence, Data Collection
Gökçek, Tuba; Taskin, Duygu; Yildiz, Cemalettin – Online Submission, 2014
The aim of this study is determining academic self-efficacy beliefs of students pursuing graduate study and revealing their needs and shortcomings from the graduate education. Case study method was used and data were collected by a form developed by the researchers from 92 students receiving masters and Ph.D.'s in different programs. As a result…
Descriptors: Graduate Students, Self Efficacy, Student Needs, Beliefs
Ozturk, Elif – Online Submission, 2012
The present paper aims to review two motivations to conduct "what if" analyses using Excel and "R" to understand the statistical significance tests through the sample size context. "What if" analyses can be used to teach students what statistical significance tests really do and in applied research either prospectively to estimate what sample size…
Descriptors: Sample Size, Statistical Significance, Spreadsheets, Research Methodology
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Young, Anne; McConkey, Kevin; Kirby, Mark – Journal of Institutional Research, 2011
Student feedback surveys are an important component of the continuous improvement cycle at the University of Newcastle. This article describes a recently adopted holistic approach to collecting, analysing, reporting and acting on student feedback on courses (units of study), programs (collection of courses leading to an award) and the student…
Descriptors: Student Surveys, Feedback (Response), Holistic Approach, Course Evaluation
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Hourigan, Clare – Journal of Institutional Research, 2011
Academic standards and performance outcomes are a major focus of the current Cycle 2 Australian Universities Quality Agency (AUQA) audits. AUQA has clearly stated that universities will need to provide "evidence of setting, maintaining, and reviewing institutional academic standards and outcomes" (2010, p. 27). To do this, universities…
Descriptors: Decision Making, Admission Criteria, Program Improvement, Data Analysis