Cloze items are a foundational approach to assessing readability. However, they require human data collection, thus making them impractical in automated metrics. The present study revisits the idea of assessing readability with cloze items and compares human cloze scores and readability judgments with predictions made by T5, a popular deep…

The purpose of this study is twofold, to examine gifted students' parents' (n=202) irrational belief levels and the level of mindful parenting, and to investigate whether or not gifted students' parents' irrational belief levels explain the parents' level of mindful parenting. The results showed that the level of mindful parenting was not low and…

This article intends to investigate the consistency between a few popular generative AI robots in the evaluation of massive open online course (MOOC) platforms. The four robots experimented with in the study were Claude+, GPT-4, Sage, and Dragonfly, which were tasked with awarding rating scores to the eight major dimensions, namely (1)…

Using a relational survey design, this study examined the relationship between preschool teachers' emotional intelligence levels and their coping responses to stress. A total of 257 preschool teachers from public and private institutions in Istanbul participated in the study. Demographic information form, Schutte Emotional Intelligence Scale-33-Tr…

The purpose of this study is to examine the relationship between global citizenship, multicultural personality and critical thinking in preservice teachers. The study group consisted of 363 preservice teachers who attend different departments of Faculty of Education in Kutahya. Data collection was done through Scale Universal Citizenship,…

In the context of Programme for International Student Assessment (PISA), paradoxical findings concerning the relationship between questionnaire scales and student achievement are often documented. These questionnaire scales are found to correlate positively with student achievement within countries at the individual level, but negatively at the…

When examinees perceive a test as low stakes, it is logical to assume that some of them will not put out their maximum effort. This condition makes the validity of the test results more complicated. Although many studies have investigated motivational fluctuation across tests during a testing session, only a small number of studies have…

Adaptive online courses are designed to automatically customize material for different users, typically based on data captured during the course. Assessing the quality of these adaptive courses, however, can be difficult. Traditional assessment methods for (machine) learning algorithms, such as comparison against a ground truth, are often…

Automated Writing Evaluation systems have been developed to help students improve their writing skills through the automated delivery of both summative and formative feedback. These systems have demonstrated strong potential in a variety of educational contexts; however, they remain limited in their personalization and scope. The purpose of the…

This paper describes the development and efficacy of an online tool for assessing the numeracy of undergraduate students. The tool was designed to be easy to administer, provide immediate feedback to students on whether they had the required level of numeracy, and to be consistent with other measures of adult numeracy. When used with students…

This study examined the use of a popular Automatic Speech Recognition (ASR), Google Voice Typing (GVT), to automatically assess English as second language pronunciation. It aimed to answer the following question: What is the relationship between GVT-rated scores and human-rated scores? To answer this question, we compared audio recordings of 56…

This paper demonstrates how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. We examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance prediction; and (2) what types of in-game features were associated with student…

Students in public education are expected to attend school on a regular basis to learn. This study applied multiple linear regression models and binary logistic regression models to analyze the effect of risk of early chronic absence pattern on later math achievement by using student level longitudinal data. Results showed that students with small…

Pandemic-related policies are typically developed by districts and translated to all schools for implementation. Understanding the degree to which the pandemic impacted school-level performance would provide additional perspective for researchers looking to help district and school officials move forward. The main purpose of this study is to…

Empirically supported multimedia learning (MML) principles [1] suggest effective ways to design instruction, generally for elements on the order of a graphic or an activity. We examined whether the positive impact of MML could be detected in larger instructional units from a MOOC. We coded instructional design (ID) features corresponding to MML…