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Ung Hua Lau; Zaidatun Tasir – Educational Technology Research and Development, 2024
An online authentic learning environment (OnALE) is proposed in this study to facilitate students' learning of inferential statistics in a real-life context. The efficacy of the OnALE, in comparison to the conventional approach relative to the students' performance, was explored. Respondents from the experimental group were purposively selected to…
Descriptors: Online Courses, Authentic Learning, Academic Achievement, Comparative Analysis
Backman, Matthew D.; Delmas, Robert C.; Garfield, Joan – Statistics Education Research Journal, 2017
Cognitive transfer is the ability to apply learned skills and knowledge to new applications and contexts. This investigation evaluates cognitive transfer outcomes for a tertiary-level introductory statistics course using the CATALST curriculum, which exclusively used simulation-based methods to develop foundations of statistical inference. A…
Descriptors: Introductory Courses, Statistics, Mathematics Instruction, Simulation
Shadreck, Mandina; Enunuwe, Ochonogor Chukunoye – Acta Didactica Napocensia, 2017
The study sought to find out difficulties encountered by high school chemistry students when solving stoichiometric problems and how these could be overcome by using a problem-solving approach. The study adopted a quasi-experimental design. 485 participants drawn from 8 highs schools in a local education district in Zimbabwe participated in the…
Descriptors: Foreign Countries, High School Students, Problem Solving, Chemistry
Haris, Norbaizura; Osman, Kamisah – Turkish Online Journal of Distance Education, 2015
Virtual Field Trip is a computer aided module of science developed to study the Colonisation and Succession in Mangrove Swamps, as an alternative to the real field trip in Form for Biology. This study is to identify the effectiveness of the Virtual Field Trip (VFT) module towards the level of achievement in the formative test for this topic. This…
Descriptors: Field Trips, Simulated Environment, Technology Uses in Education, Biology
Karabatsos, George; Walker, Stephen G. – Society for Research on Educational Effectiveness, 2011
Karabatsos and Walker (2011) introduced a new Bayesian nonparametric (BNP) regression model. Through analyses of real and simulated data, they showed that the BNP regression model outperforms other parametric and nonparametric regression models of common use, in terms of predictive accuracy of the outcome (dependent) variable. The other,…
Descriptors: Bayesian Statistics, Regression (Statistics), Nonparametric Statistics, Statistical Inference
Feng, Mingyu; Beck, Joseph E.; Heffernan, Neil T. – International Working Group on Educational Data Mining, 2009
A basic question of instructional interventions is how effective it is in promoting student learning. This paper presents a study to determine the relative efficacy of different instructional strategies by applying an educational data mining technique, learning decomposition. We use logistic regression to determine how much learning is caused by…
Descriptors: Data Analysis, Intelligent Tutoring Systems, Sampling, Statistical Inference
Meletiou-Mavrotheris, M.; Lee, C.; Fouladi, R. T. – International Journal of Mathematical Education in Science & Technology, 2007
This paper presents findings from a qualitative study that compared the learning experiences of a group of students from a technology-based college-level introductory statistics course with the learning experiences of a group of students with non-technology-based instruction. Findings from the study indicate differences with regards to classroom…
Descriptors: Student Attitudes, Educational Technology, Statistical Inference, College Students