The current proposed study sought to extend the work conducted by Ostrosky et al. (2022). The research extension aimed to include and determine the effectiveness of EBI using three instructional models as group contingencies. The results compared the lecture instructional model and interdependent and individualized EBI research results of 10- and…

This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…

Instructional coaching has been implemented in schools to improve student achievement; however, literature shows a lack of evidence of the efficacy of improving student reading achievement. The problem addressed in this study was that school districts have implemented instructional coaching to improve student reading achievement, but the…

Automated assessment using Natural Language Processing (NLP) has the potential to make English speaking assessments more reliable, authentic, and accessible. Yet without careful examination, NLP may exacerbate social prejudices based on gender or native language (L1). Current NLP-based assessments are prone to such biases, yet research and…

With the wide introduction of English-medium instruction (EMI) to higher education institutions throughout East Asian countries, many East Asian universities are using English proficiency tests that were not originally designed for this context to make admissions and placement decisions. To support the use of these tests in this new EMI context,…

Curriculum Based Measurements (CBM) are a widely-used tool for Response to Intervention (RTI) progress monitoring. In addition, they can be used in the determination of learning disabilities and special education qualification. The most widely used type of CBM is a measure of oral reading fluency (ORF). This type involves having a student read out…

The comparison of item-level computerized adaptive testing (CAT) and multistage adaptive testing (MST) has been researched extensively (e.g., Kim & Plake, 1993; Luecht et al., 1996; Patsula, 1999; Jodoin, 2003; Hambleton & Xing, 2006; Keng, 2008; Zheng, 2012). Various CAT and MST designs have been investigated and compared under the same…

While recent research has shown that multimodal feedback and use of formulaic sequences (FS) are effective in improving student performance on writing tasks, there is a dearth of studies on the impact of these aspects on computer-based academic speaking assessments. This dissertation seeks to fill this gap by examining the impact of both…

Considering instructional time is one of the most valuable and expensive resources in public education, there is nominal research examining the effectiveness of its use (Farbman, 2015). The purpose of this study was to determine the correlation between the amount of extended learning time provided to eligible students at least one grade level…

Twenty-first-century healthcare is a complex and demanding arena. Today's hospital environment is more complex than in previous years while patients move through the system at a much faster pace. Newly graduated nurses are challenged in their first year with the healthcare needs of complex patients. Nurse educators and nurse leaders differ in…

State Education Agencies (SEAs) face challenges to the implementation of computer-based accountability assessments. The change in the accountability assessments from paper-based to computer-based demands action from the states to enable schools and districts to build their technical capacity, train the staff, provide practice opportunities to the…

Examining the testing processes, as well as the scores, is needed for a complete understanding of validity and fairness of computer-based assessments. Examinees' rapid-guessing and insufficient familiarity with computers have been found to be major issues that weaken the validity arguments of scores. This study has three goals: (a) improving…

Intelligent Computer Assisted Language Learning (ICALL) uses advanced technology to provide customized learning and individualized feedback to foreign language students (Heift & Schulze, 2007). Some comprehensive ICALL programs claim the ability to take learners from no knowledge of a language to levels of advanced knowledge and comprehension.…

This mixed methods action research study explored how students reacted to using literature circles to enhance their knowledge and understanding of reading nonfiction text as compared to students using guided reading. This study showed a minimal improvement for students participating in the literature circle group in overall understanding of…

This quantitative study extends previous research on the impact of one to one (1:1) laptop environments on student outcomes in English Language Arts (ELA) by focusing on students from various socio-economic backgrounds, while using a new technology-enhanced, state-administered assessment to measure performance. This study is significant because…