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Hanke Vermeiren; Abe D. Hofman; Maria Bolsinova – International Educational Data Mining Society, 2025
The traditional Elo rating system (ERS), widely used as a student model in adaptive learning systems, assumes unidimensionality (i.e., all items measure a single ability or skill), limiting its ability to handle multidimensional data common in educational contexts. In response, several multidimensional extensions of the Elo rating system have been…
Descriptors: Item Response Theory, Models, Comparative Analysis, Algorithms
Harry May; Travis Atkison – Journal of Cybersecurity Education, Research and Practice, 2024
This paper presents a novel approach for mitigating wormhole attacks on wireless networks using propagation delay timing. The wormhole attack is a persistent security threat that threatens the integrity of network communications, potentially leading to data theft or other malicious activities. While various methods exist for combating wormhole…
Descriptors: Telecommunications, Computer Networks, Computer Security, Simulation
Sohaib Ahmad; Javid Shabbir – Measurement: Interdisciplinary Research and Perspectives, 2025
This study aims to suggest a generalized class of estimators for population proportion under simple random sampling, which uses auxiliary attributes. The bias and MSEs are considered derived to the first degree approximation. The validity of the suggested and existing estimators is assessed via an empirical investigation. The performance of…
Descriptors: Computation, Sampling, Data Collection, Data Analysis
Conrad Borchers – International Educational Data Mining Society, 2025
Algorithmic bias is a pressing concern in educational data mining (EDM), as it risks amplifying inequities in learning outcomes. The Area Between ROC Curves (ABROCA) metric is frequently used to measure discrepancies in model performance across demographic groups to quantify overall model fairness. However, its skewed distribution--especially when…
Descriptors: Algorithms, Bias, Statistics, Simulation
Suritno Fayanto; Erniwati; Husein – International Journal of Education in Mathematics, Science and Technology, 2025
This study investigates the impact of implementing guided experiments in basic electronics practicum simulation on student engagement and motivation, with particular attention to the role of self-regulation. While guided experiments have been extensively utilized in laboratory learning, prior research has predominantly concentrated on academic…
Descriptors: Electronics, Experiments, Simulation, Learner Engagement
Bilge Delibalta; Yasemin Güner; Melek Üçüncüoglu; Aysenur Duman Dilbaz; Selçuk Akturan; Melih Elçin – Journal of Adult and Continuing Education, 2025
Health professional education is rooted in patient interaction. The utilization of the simulated participant method is a widely accepted approach in this regard, as it enables students to engage in experiences that closely resemble real patient interactions. So, the simulated participants need to be well-prepared and well-engaged in the concept of…
Descriptors: Simulation, Patients, Professional Identity, Communities of Practice
Jason A. Schoeneberger; Christopher Rhoads – American Journal of Evaluation, 2025
Regression discontinuity (RD) designs are increasingly used for causal evaluations. However, the literature contains little guidance for conducting a moderation analysis within an RDD context. The current article focuses on moderation with a single binary variable. A simulation study compares: (1) different bandwidth selectors and (2) local…
Descriptors: Regression (Statistics), Causal Models, Evaluation Methods, Multivariate Analysis
Sarah Ferguson – Journal of Educators Online, 2023
Practice makes perfect…this saying is a popular cliché, but it has validity when referencing the abundance of practice necessary to learn and master a new technique or skill. Like playing a game, honing a skill, or using a new technique, teaching requires practice to learn and improve. Working with preservice STEM teachers (PSTs), my goal was to…
Descriptors: STEM Education, Preservice Teachers, Simulation, Teaching Experience
Landan Zhang; Sylwia Bujkiewicz; Dan Jackson – Research Synthesis Methods, 2024
Simulated treatment comparison (STC) is an established method for performing population adjustment for the indirect comparison of two treatments, where individual patient data (IPD) are available for one trial but only aggregate level information is available for the other. The most commonly used method is what we call 'standard STC'. Here we fit…
Descriptors: Simulation, Patients, Outcomes of Treatment, Comparative Analysis
Rrita Zejnullahi; Larry V. Hedges – Research Synthesis Methods, 2024
Conventional random-effects models in meta-analysis rely on large sample approximations instead of exact small sample results. While random-effects methods produce efficient estimates and confidence intervals for the summary effect have correct coverage when the number of studies is sufficiently large, we demonstrate that conventional methods…
Descriptors: Robustness (Statistics), Meta Analysis, Sample Size, Computation
Xiangyi Liao; Daniel M. Bolt; Jee-Seon Kim – Journal of Educational Measurement, 2024
Item difficulty and dimensionality often correlate, implying that unidimensional IRT approximations to multidimensional data (i.e., reference composites) can take a curvilinear form in the multidimensional space. Although this issue has been previously discussed in the context of vertical scaling applications, we illustrate how such a phenomenon…
Descriptors: Difficulty Level, Simulation, Multidimensional Scaling, Graphs
A Comparison of Real-Time User Classification Methods Using Interaction Data for Open-Ended Learning
Rohit Murali; Cristina Conati; David Poole – International Educational Data Mining Society, 2025
When tutoring students it is useful to be able to predict whether they are succeeding as early as possible. This paper compares multiple methods for predicting from sequential interaction data whether a student is on a successful path. Predicting students' future performance and intervening has shown promise in improving learner outcomes and…
Descriptors: Classification, Prediction, Markov Processes, Artificial Intelligence
Ifat Linder; Eyal Weissblueth – Journal of Educators Online, 2023
In recent years, simulations in education and teaching were done within simulation centers. They are a powerful tool for having a particular professional experience in a controlled and safe environment. Since the COVID-19 pandemic began, simulations have been conducted fully online. Therefore, the current study examined the effect of simulation…
Descriptors: COVID-19, Pandemics, Electronic Learning, In Person Learning
Bailey, Jennifer; Kaiser, Forrest; Thomas, Christopher; Dillingham, Scott; Norwood, Daniel; Smith, Nikia; Brown, Arthur – NASSP Bulletin, 2022
Recent reports indicate the national principal attrition rate is at an all-time high. Scholars suggest a lack of responsive professional development as a leading factor in why principals leave the field. Further, the pandemic has exposed daily uncertainties for school leaders as they navigate new territory, bringing forth new considerations in how…
Descriptors: Leadership Training, Principals, Simulation, Professional Development
Yang, Eunbyul; Park, Sanghoon; Ryu, Jeeheon; Lim, Taehyeong – Journal of Computing in Higher Education, 2023
The purposes of this study were (1) to introduce a virtual dental lab designed to support students' virtual clinical examinations in a dentistry program in South Korea and (2) to determine how dental students' levels of expertise (low, medium, or high) influence their clinical performance in terms of dwell time on each tooth location, total…
Descriptors: Foreign Countries, Dentistry, Dental Schools, Laboratories

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