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Uto, Masaki; Miyazawa, Yoshimitsu; Kato, Yoshihiro; Nakajima, Koji; Kuwata, Hajime – International Journal of Artificial Intelligence in Education, 2020
Teaching writing strategies based on writing processes has attracted wide attention as a method for developing writing skills. The writing process can be generally defined as a sequence of subtasks, such as planning, formulation, and revision. Therefore, instructor feedback is often given based on sequence patterns of those subtasks. For such…
Descriptors: Markov Processes, Writing Processes, Writing Skills, Keyboarding (Data Entry)
Hod, Yotam; Twersky, Daniel – International Journal of Computer-Supported Collaborative Learning, 2020
This research examines small group collaboration on the Augmented Reality (AR) Sandbox, an interactive, real-time topographical simulator that provides a color layer of augmentation showing depths and height, contour lines, and hydrology vis-a-vis the terrain of sand in a box. Prior research has focused on AR Sandbox activity designs, outcome…
Descriptors: Topography, Computer Simulation, Spatial Ability, Computer Uses in Education
Bakbergenuly, Ilyas; Hoaglin, David C.; Kulinskaya, Elena – Research Synthesis Methods, 2020
In random-effects meta-analysis the between-study variance ([tau][superscript 2]) has a key role in assessing heterogeneity of study-level estimates and combining them to estimate an overall effect. For odds ratios the most common methods suffer from bias in estimating [tau][superscript 2] and the overall effect and produce confidence intervals…
Descriptors: Meta Analysis, Statistical Bias, Intervals, Sample Size
Thom, Howard; López-López, José A.; Welton, Nicky J. – Research Synthesis Methods, 2020
This paper considers the problem in aggregate data meta-analysis of studies reporting multiple competing binary outcomes and of studies using different summary formats for those outcomes. For example, some may report numbers of patients with at least one of each outcome while others may report the total number of such outcomes. We develop a shared…
Descriptors: Risk, Models, Meta Analysis, Patients
Zhang, Lian; Weitlauf, Amy S.; Amat, Ashwaq Zaini; Swanson, Amy; Warren, Zachary E.; Sarkar, Nilanjan – Journal of Autism and Developmental Disorders, 2020
Existing literature regarding social communication outcomes of interventions in autism spectrum disorder (ASD) depends upon human raters, with limited generalizability to real world settings. Technological innovation, particularly virtual reality (VR) and collaborative virtual environments (CVE), could offer a replicable, low cost measurement…
Descriptors: Interpersonal Communication, Cooperation, Autism, Pervasive Developmental Disorders
Kerr, Jeremy; Lawson, Gillian – International Journal of Art & Design Education, 2020
The rapid and ongoing development of digital technologies continues to create new opportunities for education. Over the last decade this has enabled the establishment of blended learning approaches and online education. More recently, Augmented Reality (AR) has emerged as a unique technology that can transform learning experiences across diverse…
Descriptors: Computer Simulation, Architectural Education, Horticulture, College Freshmen
Yuan, Bei; Wang, Minhong; van Merriënboer, Jeroen; Tao, Xu; Kushniruk, Andre; Peng, Jun – Vocations and Learning, 2020
Reflection plays an important role in medical students' ability to develop diagnostic competence through practice with clinical cases. However, it is not easy for students to develop expert-like performance through self-reflection alone; conversely, seeking feedback from experts constantly in practice is impractical. This study investigates the…
Descriptors: Reflection, Feedback (Response), Computer Assisted Instruction, Clinical Diagnosis
Liu, Xiaofeng Steven; Shin, Hyejo Hailey – Teaching Statistics: An International Journal for Teachers, 2020
Computer simulation can be used to demonstrate why the unbiased sample variance uses degrees of freedom (n-1). This is first demonstrated for sampling from a normal random variable, and in additional simulations for some selected non-normal random variables, namely, chi-square and binomial.
Descriptors: Computer Simulation, Statistics, Sampling, Statistical Bias
Mohammad, Nagham; McGivern, Lucinda – Online Submission, 2020
In regression analysis courses, there are many settings in which the response variable under study is continuous, strictly positive, and right skew. This type of response variable does not adhere to the normality assumptions underlying the traditional linear regression model, and accordingly may be analyzed using a generalized linear model…
Descriptors: Regression (Statistics), Statistical Distributions, Simulation, Data Analysis
Kristin Meloche Sagedy – ProQuest LLC, 2020
All nurses may be obliged to care for patients at the end of life. Baccalaureate nursing education should prepare nurses to provide this care, but best practice for end of life care education has not been established. Nurses are not adequately prepared to care for dying patients and grieving families. This research study explored the effectiveness…
Descriptors: Undergraduate Students, Nursing Students, Student Attitudes, Terminal Illness
Derek Sauder – ProQuest LLC, 2020
The Rasch model is commonly used to calibrate multiple choice items. However, the sample sizes needed to estimate the Rasch model can be difficult to attain (e.g., consider a small testing company trying to pretest new items). With small sample sizes, auxiliary information besides the item responses may improve estimation of the item parameters.…
Descriptors: Item Response Theory, Sample Size, Computation, Test Length
Amanda Rae Powell – ProQuest LLC, 2020
This study focuses on the life and times of a monster: a) the creation of a virtual reality (VR) simulation intended to enhance student engagement with Fitzgerald's (2004/1925) The Great Gatsby in a secondary English classroom; b) the subsequent suppression of the simulation when the creation, but not the researcher's intentions, were realized;…
Descriptors: High Schools, English, Computer Simulation, Technology Uses in Education
Meta-Analysis of Test Accuracy Studies Using Imputation for Partial Reporting of Multiple Thresholds
Ensor, J.; Deeks, J. J.; Martin, E. C.; Riley, R. D. – Research Synthesis Methods, 2018
Introduction: For tests reporting continuous results, primary studies usually provide test performance at multiple but often different thresholds. This creates missing data when performing a meta-analysis at each threshold. A standard meta-analysis (no imputation [NI]) ignores such missing data. A single imputation (SI) approach was recently…
Descriptors: Meta Analysis, Accuracy, Research Methodology, Simulation
Adam Carreon; Caitlin Criss; Maggie Mosher – Journal of Special Education Technology, 2024
Virtual reality (VR) is an innovative technology that is rapidly gaining popularity in and out of the classroom. With improvements in hardware and software technology and the push for one-to-one computing, teachers have access to innovative VR supports and resources. These innovative technologies have the potential to improve instruction for…
Descriptors: Computer Simulation, Students with Disabilities, Technology Uses in Education, Student Motivation
Oscar Yecid Aparicio-Gómez; Olga Lucia Ostos-Ortiz; Constanza Abadía-García – Journal of Technology and Science Education, 2024
In today's educational environment, the convergence of emerging technologies and active methodologies has become a fundamental driver of change in university education. Emerging technologies, such as artificial intelligence, virtual reality, machine learning, and data analytics, are redefining the dynamics of higher education. Active…
Descriptors: Technological Advancement, Technology Uses in Education, Higher Education, Problem Based Learning

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