In this article, we use a two-dimensional assessment to examine the experimental impacts of a mathematics learning trajectory-oriented formative assessment program on student strategies for problems involving multiplication and division. Working from the theory that the development of students' multiplicative reasoning involves improvements in…

As institutions of higher education evolve and adapt to meet the increasing needs of their communities, faculty are faced with the choice of where and how to employ their time and expertise. To advance and encourage partnerships between institutions and their communities, academic reward structures must be designed in ways that support those who…

Researchers often have hypotheses concerning the state of affairs in the population from which they sampled their data to compare group means. The classical frequentist approach provides one way of carrying out hypothesis testing using ANOVA to state the null hypothesis that there is no difference in the means and proceed with multiple comparisons…

Component network meta-analysis (CNMA) compares treatments comprising multiple components and estimates the effects of individual components. For network meta-analysis, a standard network plot with nodes for treatments and edges for direct comparisons between treatments is drawn to visualize the evidence structure and the connections between…

In conducting confirmatory factor analysis with ordered response items, the literature suggests that when the number of responses is five and item skewness (IS) is approximately normal, researchers can employ maximum likelihood with robust standard errors (MLR). However, MLR can yield biased factor loadings (FL) and FL standard errors (FLSE) when…

In the last few years, Qualitative Comparative Analysis (QCA) has become one of the most important data analysis methods in comparative research. According to the guidelines of this method, there are certain steps that a researcher needs to follow, before causally analyzing the data for necessary and sufficient conditions. One of these steps is…

This study aims to compare normality tests in different sample sizes in data with normal distribution under different kurtosis and skewness coefficients obtained simulatively. To this end, firstly, simulative data were produced using the MATLAB program for different skewness/kurtosis coefficients and different sample sizes. The normality analysis…

With the rapid development of Artificial Intelligence, automatic writing evaluation (AWE) has received much attention from English Foreign Language (EFL) writing teachers. However, the obstacles and potential problems of integrating AWE in EFL writing instruction have yet to be explored. Scholars have indicated that the effectiveness of AWE in EFL…

The aim of this project is to attempt a factorial analysis of the congruence amongst three layers of assessments of Oral Presentation: "Expert, Self, and Peer". Participants included graduate and undergraduate students of Asian background studying Research Writing at a technological university. The research instrument consisted of a set…

This study aimed to explore the effect of authentic and traditional assessment on students' performance in the field of health and educational sciences. Both qualitative and quantitative research designs were used in this study. Study used A questionnaire containing 20 items: 10 items represented traditional assessment and the other 10 represented…

RobotReviewer is a tool for automatically assessing the risk of bias in randomized controlled trials, but there is limited evidence of its reliability. We evaluated the agreement between RobotReviewer and humans regarding the risk of bias assessment based on 1955 randomized controlled trials. The risk of bias in these trials was assessed via two…

Systematic reviews are vital for guiding practice, research and policy, although they are often slow and labour-intensive. Large language models (LLMs) could speed up and automate systematic reviews, but their performance in such tasks has yet to be comprehensively evaluated against humans, and no study has tested Generative Pre-Trained…

This study explores the writing quality of two AI chatbots, OpenAI ChatGPT and Google Gemini. The research assesses the quality of the generated texts based on five essay models using the T.E.R.A. software, focusing on ease of understanding, readability, and reading levels using the Flesch-Kincaid formula. Thirty essays were generated, 15 from…

Increasing children's access to media has attached greater significance to media literacy education, the content and methods of which have changed with media development. This study aimed to investigate the effects of the Community of Inquiry (CoI) method on media literacy competencies in elementary students. To this end, 95 female sixth-grade…

Research into metacognition has found it to facilitate self-regulation and correlate to learners' L2 writing level. Following Lee & Mak's (2018) framework of Metacognitive Instruction (MI) for L2 writing classrooms, this study applies Dynamic Assessment (DA) to writing MI (MI-DA) in a rural middle school EFL class in China. A one-semester…