Artificial intelligence (AI) and its subfield, machine learning, have become indispensable across various industries. With the aid of low-code/no-code development platform like KNIME, understanding and applying machine learning algorithms has been simplified for various fields, including business and information systems, as these platforms reduce…

Accurately predicting which students are best suited for graduate programs is beneficial to both students and colleges. In this paper, we propose a quantitative machine learning approach to predict an applicant's potential performance in the graduate program. Our work is based on a real world dataset consisting of MS in CS [Master of Science in…

The tremendous growth in electronic educational data creates the need to have meaningful information extracted from it. Educational Data Mining (EDM) is an exciting research area that can reveal valuable knowledge from educational databases. This knowledge can be used for many purposes, including identifying dropouts or weak students who need…

This study enlists a transformative approach to mixed methods research in order to problematize what different methods can offer for expanding understandings of educator language attitudes and ideologies. Analyses consider Likert-scale survey responses and linguistic autobiography data from a sociolinguistics course in an online Educating…

Purpose: The purpose of this study is to determine whether students' self-assessment (SSA) could be used as a significant attribute to predict students' future academic achievement. Design/methodology/approach: The authors address how well students can assess their abilities and study the relationship between this ability and demographic…

The research on interpreting aptitude has focused on the abilities, skills and personal traits of individuals in order to predict their future interpreting performance. However, an important variable between the personal characteristics and success of trainee interpreters in interpreter training, which is instructional practices, is overlooked.…

Chapter 1 investigates asks the question how do financial frictions affect the type of human capital investments that students make in college? To study this question, I build a novel dataset covering more than 700,000 U.S. students, merging commencement records with address histories, credit bureau records, and professional resumes. I document…

Cognitive factors have been recognised as important in the interpreting process, but whether they could serve as valid components of interpreting aptitude still awaits further investigation. This study explores the predictive value of cognitive fluency in the simultaneous interpreting (SI) performance of trainee interpreters. Cognitive fluency…

Scholars have argued for the inclusion of different spoken varieties of English in high-stakes listening tests to better represent the global use of English. However, doing so may introduce additional construct-irrelevant variance due to accent familiarity and the shared first language (L1) advantage, which could threaten test fairness. However,…

Social work programs have increased evidence-based practice (EBP)-related curricular content; yet, it is unclear whether newer practitioners are successful in incorporating it into their practice. This study examines factors that influence the use of EBP among newly graduated social workers. We developed and implemented a Web-based survey that…

Social work programs in the United States (N = 74) were investigated to determine strategies used for recruiting and retaining MSW students of color. Most schools had student populations exceeding 25,000 and combined BSW, MSW, and PhD programs. Data were collected using a Graduate Recruitment and Retention Scale with corresponding and acceptably…

This study explores gender parity on the basis of distinctive expansion stages in the higher education system of Taiwan. Gender parity is one of the key components used to determine equal opportunities for accessing higher education. Therefore, this study evaluated gender parity and explored the potential gaps at the undergraduate, master and…

In the context of higher education, this study examines the extent to which affective evaluations of the student experience are influenced by the point at which they are made (i.e. before the experience begins, whilst it is happening and after it has ended). It adopts a between-groups quantitative analysis of the affective evaluations made by 360…

The purpose of this study is to investigate the factors affecting academic achievement of the master's students who are enrolling in the executive engineering management master's programs in Turkey. These factors include admission requirements (entrance examination, undergraduate grade point average, English proficiency) and demographic attributes…

This study investigates the effect of geographic distance on students' distance learning experience with the aim to provide tentative answers to a fundamental question--does geographic distance matter in distance education? Using educational outcome data collected from an online master's program in Geographic Information Systems, this study…