The main challenge in higher education is student retention. While many methods have been proposed to overcome this challenge, early and continuous feedback can be very effective. In this article, we propose a method for predicting student final grades in a course using only their performance data in the current semester. It assists students in…

In this study, we compared children's and adults' ability to accurately identify target words in written minimal pairs (WMPs) with graphemically similar letters while accounting for factors such as gender, similarity of the middle letter in WMPs, mono- versus dimorphemic WMPs, number of syllable, homography, and imageability. Fifty children and…

The purpose of this study was to investigate the Type I Error findings and power rates of the methods used to determine dimensionality in unidimensional and bidimensional psychological constructs for various conditions (characteristic of the distribution, sample size, length of the test, and interdimensional correlation) and to examine the joint…

Despite the increasing demand for diagnostic information, observed subscores have been often reported to lack adequate psychometric qualities such as reliability, distinctiveness, and validity. Therefore, several statistical techniques based on CTT and IRT frameworks have been proposed to improve the quality of subscores. More recently, DCM has…

Accuracy and precision are measures of experimental error and are fundamental to most chemical analysis laboratory classes. Assessment of accuracy and precision is often based on the comprehension of the results generated by students rather than on the quality of the data generated. This activity focused on developing a chemical analysis…

This study examines the effectiveness of Evidence-Based Literacy Instruction (EBLI) Teacher and Student Lessons in whole-classroom settings for grades K-5. Conducted in a Michigan school district during the 2023-2024 school year, this mixed-methods research evaluated implementation and outcomes across 815 students from 35 classrooms. MAP Growth…

There has been substantial research on the effects of metacognitive instruction on improving L2 learners' language skills. However, little is known about the impact of such instruction on improving the effectiveness of L2 students' collaborative writing. To fill this research gap, we conducted a quasi-experimental study to investigate how such an…

With the rapid advancement of generative artificial intelligence (GAI), its application in educational settings has increasingly become a focal point, particularly in enhancing students' analytical capabilities. This study examines the effectiveness of the ChatGPT prompt framework in improving text analysis skills among students, specifically…

Background/purpose: The introduction of ChatGPT has rapidly transformed various aspects of life. It has raised concerns about its impact on current jobs, especially in education. The study aims to examine the factors that may influence university lecturers' intention to adopt ChatGPT in their work. Materials/methods: This study uses the Unified…

Generative large language models (LLMs) like ChatGPT can quickly produce informative essays on various topics. However, the information generated cannot be fully trusted, as artificial intelligence (AI) can make factual mistakes. This poses challenges for using such tools in college classrooms. To address this, an adaptable assignment called the…

Aspectual and mood morphology are vulnerable domains in adult heritage speakers. This paper investigates the root of such vulnerability within the domain of Turkish evidentiality system by comparing 20 second-generation adult and 20 school-age child Turkish heritage speakers to 20 first-generation immigrants (main input providers for child…

Despite the growing interest in AI for language assessment, there remains a significant research gap regarding its usefulness for assessing less proficient language skills, particularly those of learners of English as a second or foreign language (S/FL). AI models often prioritize proficient writing, neglecting the intricacies of learner language.…

This study aimed to address the need for a comprehensive assessment tool to evaluate the mathematical abilities of first-grade students through cognitive diagnostic assessment (CDA). The primary challenge involved in this endeavor was to delineate the specific cognitive skills and sub-skills pertinent to first-grade mathematics (FG-M) and to…

Learners' anxiety has drawn widespread attention in the field of second language/foreign language (L2/FL) teaching and learning (e.g. classroom anxiety, communication (with foreigners) anxiety, and anxiety associated with the four macro-skills, namely listening, reading, speaking, and writing). However, this topic is under-explored in L2/FL public…

Mastering correct pronunciation is crucial for effective Spanish language learning and communication. However, many existing language learning resources lack adequate coverage of pronunciation guidance and feedback mechanisms. This study aims to address this gap by developing SpanishBot, an innovative chatbot designed to facilitate the learning of…