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Leary, Sam; Ness, Andy – Journal of University Teaching and Learning Practice, 2021
The provision of undergraduate statistics teaching varies across UK dental schools, but some challenges are faced in all schools. These include the need to (i) demonstrate the relevance of statistics to dentistry, (ii) address the phenomenon of statistical anxiety likely to be experienced, and (iii) deliver the teaching with a limited number of…
Descriptors: Research Methodology, Teaching Methods, Undergraduate Students, Dentistry
Chow, Alan F.; Kim, Jinhak; Sohn, Jayoung; Van Haneghan, James P. – Journal of Education for Business, 2021
We investigate the level of understanding of probability as related to games and gambling, and the concept of independence of events using a convenience sample of college undergraduates taking an introductory course in applied business statistics. We examined the students' perception of the role of skill in winning at four different games through…
Descriptors: Misconceptions, Concept Formation, Probability, Mathematical Concepts
Fribley, Karla; Vance, Jason M.; Gardner, Justin G. – portal: Libraries and the Academy, 2021
Faculty development is a key priority for academic institutions in the United States. Often, centers for teaching and learning lead this work, but increasingly, librarians provide professional development for their teaching faculty colleagues. This study examines academic librarians' leadership of faculty development initiatives at their…
Descriptors: Academic Libraries, Librarians, Faculty Development, Librarian Attitudes
Wang, Xinghua; Wang, Zhuo; Wang, Qiyun; Chen, Wenli; Pi, Zhongling – Journal of Computer Assisted Learning, 2021
Digital competence is critical for university students to adapt to and benefit from digitally enhanced learning. Prior studies on its measurement mostly focus on educators and relied on factor analyses. However, there is a lack of valid and convenient tools to measure university students' digital competence. This study aimed to develop a digital…
Descriptors: Electronic Learning, Technological Literacy, College Students, Measures (Individuals)
Al-Labadi, Luai; Sant, Saurabh – Journal of Technology and Science Education, 2021
Majority of the students now have access to portable devices that can provide countless information at their fingertips through various resources such as learning games and interactive applications. These resources allow immediate communication and interaction between students and instructors. In this study we measured students' perception of the…
Descriptors: Learning Experience, Technology Uses in Education, Electronic Learning, Student Attitudes
Simmons, Denise R.; Chau, Anh D. – Journal of STEM Education: Innovations and Research, 2021
Undergraduate student participation in out-of-class activities yields a range of documented benefits and represents an area of study that can inform efforts to increase persistence in science, technology, engineering or mathematics (STEM) majors, particularly for underrepresented groups. This study was designed to explore the impact of selected…
Descriptors: Predictor Variables, Student Participation, Disproportionate Representation, STEM Education
Lawson, Alyssa P.; Mayer, Richard E.; Adamo-Villani, Nicoletta; Benes, Bedrich; Lei, Xingyu; Cheng, Justin – Educational Technology Research and Development, 2021
The positivity principle states that people learn better from instructors who display positive emotions rather than negative emotions. In two experiments, students viewed a short video lecture on a statistics topic in which an instructor stood next to a series of slides as she lectured and then they took either an immediate test (Experiment 1) or…
Descriptors: Positive Attitudes, Video Technology, Lecture Method, Statistics Education
Guven, Bulent; Baki, Adnan; Uzun, Neslihan; Ozmen, Zeynep Medine; Arslan, Zeynep – International Electronic Journal of Mathematics Education, 2021
This study intends to determine the statistical literacy levels of pre-service mathematics teachers and to evaluate the contribution of the statistics courses in the elementary mathematics education curriculum to statistical literacy. A mixed methods research design was adopted. The study group consisted of 202 pre-service mathematics teachers…
Descriptors: Course Evaluation, Statistics Education, Preservice Teacher Education, Preservice Teachers
Meng, Lingling; Zhang, Mingxin; Zhang, Wanxue; Chu, Yu – Interactive Learning Environments, 2021
Bayesian knowledge tracing model (BKT) is a typical student knowledge assessment method. It is widely used in intelligent tutoring systems. In the standard BKT model, all knowledge and skills are independent of each other. However, in the process of student learning, they have a very close relation. A student may understand knowledge B better when…
Descriptors: Bayesian Statistics, Intelligent Tutoring Systems, Student Evaluation, Knowledge Level
Coetzee, Wilma – Perspectives in Education, 2021
Since we are entering the fourth industrial revolution, it becomes increasingly important that students, irrespective of their field of study, are data literate. However, many students view their mandatory statistics modules with contempt. This qualitative study analysed students' comments to determine what their needs are to improve these modules…
Descriptors: Introductory Courses, Statistics Education, Undergraduate Students, Student Satisfaction
Smyk, Magdalena; Tyrowicz, Joanna; van der Velde, Lucas – Sociological Methods & Research, 2021
We investigate the reliability of data from the Wage Indicator (WI), the largest online survey on earnings and working conditions. Comparing WI to nationally representative data sources for 17 countries reveals that participants of WI are not likely to have been representatively drawn from the respective populations. Previous literature has…
Descriptors: Online Surveys, Data, Reliability, Wages
Hoffman, Heather J.; Elmi, Angelo F. – Journal of Statistics and Data Science Education, 2021
Teaching students statistical programming languages while simultaneously teaching them how to debug erroneous code is challenging. The traditional programming course focuses on error-free learning in class while students' experiences outside of class typically involve error-full learning. While error-free teaching consists of focused lectures…
Descriptors: Statistics Education, Programming Languages, Troubleshooting, Coding
Achieving the Dream, 2021
Achieving the Dream (ATD) is one of 12 higher education and digital learning organizations that make up the Every Learner Everywhere (Every Learner) Network, whose mission is to help higher education institutions improve and ensure more equitable student outcomes through advances in digital learning, particularly among poverty-impacted, racially…
Descriptors: Courseware, Introductory Courses, College Mathematics, Business Administration Education
Hosseinzadeh, Mostafa – ProQuest LLC, 2021
In real-world situations, multidimensional data may appear on large-scale tests or attitudinal surveys. A simple structure, multidimensional model may be used to evaluate the items, ignoring the cross-loading of some items on the secondary dimension. The purpose of this study was to investigate the influence of structure complexity magnitude of…
Descriptors: Item Response Theory, Models, Simulation, Evaluation Methods
Barker, Heather Allmond – ProQuest LLC, 2021
The increased statistics standards in K-12 mathematics curriculum, the rise of enrollment in Advanced Placement Statistics in high schools, and increased enrollment in introductory statistics courses in college, have led to a rising need of quality professional development (PD) for teachers of statistics. Online professional development (OPD) is a…
Descriptors: Statistics Education, Online Courses, Professional Development, Learner Engagement

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