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Joshua Weidlich; Ben Hicks; Hendrik Drachsler – Educational Technology Research and Development, 2024
Researchers tasked with understanding the effects of educational technology innovations face the challenge of providing evidence of causality. Given the complexities of studying learning in authentic contexts interwoven with technological affordances, conducting tightly-controlled randomized experiments is not always feasible nor desirable. Today,…
Descriptors: Educational Research, Educational Technology, Research Design, Structural Equation Models
Kitto, Kirsty; Hicks, Ben; Shum, Simon Buckingham – British Journal of Educational Technology, 2023
An extraordinary amount of data is becoming available in educational settings, collected from a wide range of Educational Technology tools and services. This creates opportunities for using methods from Artificial Intelligence and Learning Analytics (LA) to improve learning and the environments in which it occurs. And yet, analytics results…
Descriptors: Causal Models, Learning Analytics, Educational Theories, Artificial Intelligence
Ernesto Sánchez; Victor Nozair García-Ríos; Francisco Sepúlveda – Educational Studies in Mathematics, 2024
Sampling distributions are fundamental for statistical inference, yet their abstract nature poses challenges for students. This research investigates the development of high school students' conceptions of sampling distribution through informal significance tests with the aid of digital technology. The study focuses on how technological tools…
Descriptors: High School Students, Concept Formation, Thinking Skills, Skill Development
Case, Catherine; Jacobbe, Tim – Statistics Education Research Journal, 2018
Although hypothesis testing is ubiquitous in data analysis, research suggests it is commonly misunderstood. Simulation-based inference methods have potential to make student thinking visible, thus providing a valuable lens to analyze developing conceptions about inference. This paper identifies difficulties made visible through simulation-based…
Descriptors: Statistics, Statistical Inference, Logical Thinking, Introductory Courses
Edson, Alden Jack – ZDM: The International Journal on Mathematics Education, 2017
This exploratory study reports on how students activated learner-controlled scaffolding and navigated through sequences of connected problems in a digital learning environment. A design experiment was completed to (re)design, iteratively develop, test, and evaluate a digital version of an instructional unit focusing on binomial distributions and…
Descriptors: Teaching Methods, Learner Controlled Instruction, Scaffolding (Teaching Technique), Educational Technology
Kio, Su Iong; Lau, Meng Chan Virgina – Education and Information Technologies, 2017
The study builds on a newly modified Technology Acceptance Model (TAM) to substantiate the motivation and operation of teachers' utilization of online learning resources. A "Comprehensiveness" construct is proposed in the modified TAM to reflect the breadth and depth of rich online knowledge. This new construct serves as the mediator…
Descriptors: Electronic Learning, Educational Resources, Foreign Countries, Structural Equation Models
Society for Research on Educational Effectiveness, 2017
Bayesian statistical methods have become more feasible to implement with advances in computing but are not commonly used in educational research. In contrast to frequentist approaches that take hypotheses (and the associated parameters) as fixed, Bayesian methods take data as fixed and hypotheses as random. This difference means that Bayesian…
Descriptors: Bayesian Statistics, Educational Research, Statistical Analysis, Decision Making
McLean, Jeffrey A.; Doerr, Helen M. – North American Chapter of the International Group for the Psychology of Mathematics Education, 2015
This study focuses on the development of four tertiary introductory statistics students' informal inferential reasoning while engaging in data driven repeated sampling and resampling activities. Through the use of hands-on manipulatives and simulations with technology, the participants constructed empirical sampling distributions in order to…
Descriptors: College Mathematics, College Students, Statistics, Statistical Inference
Ogwu, Edna N. – Educational Research and Reviews, 2016
This study compares teacher trainee students (TTSs), electronic learning technology (ELT) readiness, competence as well as their constraints to ELT readiness using 373 University education students' from Botswana and Nigeria that are randomly selected. Data was descriptively analysed based on the research objectives and hypotheses using mean…
Descriptors: Comparative Analysis, Electronic Learning, Trainees, Foreign Countries
Varol, Yaprak Kalemoglu – International Journal of Progressive Education, 2015
The aim of the research is to determine the predictive power of prospective physical education teachers' attitudes towards educational technologies for their technological pedagogical content knowledge. In this study, a relational research model was used on a study group that consisted of 529 (M[subscript age]=21.49, SD=1.44) prospective physical…
Descriptors: Preservice Teachers, Physical Education Teachers, Student Attitudes, Educational Technology
Thrasher, Emily; Starling, Tina; Lovett, Jennifer N.; Doerr, Helen M.; Lee, Hollylynne S. – North American Chapter of the International Group for the Psychology of Mathematics Education, 2015
This paper explores the impact on teachers' self-efficacy to teach statistics from a graduate course aimed to develop teachers' knowledge of inferential statistics through engaging in data analysis using technology. This study uses qualitative and quantitative data from the Self-Efficacy to Teach Statistics Survey (Harrell-Williams et al., 2013)…
Descriptors: Mathematics Instruction, Self Efficacy, Graduate Students, Statistical Inference
Case, Catherine; Whitaker, Douglas – Mathematics Teacher, 2016
In the criminal justice system, defendants accused of a crime are presumed innocent until proven guilty. Statistical inference in any context is built on an analogous principle: The null hypothesis--often a hypothesis of "no difference" or "no effect"--is presumed true unless there is sufficient evidence against it. In this…
Descriptors: Mathematics Instruction, Technology Uses in Education, Educational Technology, Statistical Inference
Cooper, Darren; Higgins, Steve; Beckmann, Nadin – Journal of Educational Technology Systems, 2017
Online instructional videos are becoming increasingly common within education. This study adopts a quasi-experimental 2 × 2 crossover design (control and experimental groups) to evaluate the efficacy of instructional videos to teach practical rehabilitation skills. The students performed practical sessions in class and were formatively assessed by…
Descriptors: Video Technology, Educational Technology, Teaching Methods, Supplementary Education
Benzigar, Sasikumar – ProQuest LLC, 2014
Undergraduate students' perceptions of their presences in online learning environments are critical in creating online courses that can best enhance their learning. Hence, understanding how learners perceive their presences in the online environment could assist course designers and instructors in creating quality online learning experiences. The…
Descriptors: Electronic Learning, Online Courses, Undergraduate Students, Educational Technology
Okolocha, Chimezie Comfort; Nwadiani, Comfort Onaigho – Journal of Education and Learning, 2015
This study assessed the utilization of ICT resources in teaching among business educators in tertiary institutions in south Nigeria. Two research questions and two null hypotheses guided the study. Descriptive survey research design was adopted for the study. The population and sample for the study comprised all 240 business educators in colleges…
Descriptors: Educational Technology, Technology Uses in Education, College Faculty, Business Administration Education