This study examined effects of pronunciation training using automatic speech recognition technology on common pronunciation errors of Korean English learners. Participants were divided into two groups. One group was given instruction and training about the use of automatic speech recognition for pronunciation practice. The other group was not…

This study examines the roles of internal and external search characteristics and attitudinal factors in investors' decisions to utilize robo-advisor-based platforms. Using the 2015 state-by-state National Financial Capability Study and Investor Survey, this study finds that the need to free up time, higher risk tolerance, higher subjective…

For many higher education institutions, certifying degree completion is both challenging and time consuming. Depending on the size of the institution, graduation processing can take multiple staff days to complete. In an age of limited staffing, registrars must leverage technology to handle these increasing workloads. Such was the case with a…

This study aims to determine the level of eligibility of the application of staffing information systems as a learning media for automation of staffing governance in the Vocational. This research method uses quantitative research methods. Data collection techniques are done using a questionnaire and analysis of needs using quantitative data…

In this paper, we describe our solution to predict student STEM career choices during the 2017 ASSISTments Datamining Competition. We built a machine learning system that automatically reformats the data set, generates new features and prunes redundant ones, and performs model and feature selection. We designed the system to automatically find a…

This study compares automated methods to develop short forms of psychometric scales. Obtaining a short form that has both adequate internal structure and strong validity with respect to relationships with other variables is difficult with traditional methods of short-form development. Metaheuristic algorithms can select items for short forms while…

When developing a digital test, one of the first decisions that need to be made is which type of Computer-Based Test (CBT) to develop. Six different CBT types are considered here: linear tests, automatically generated tests, computerized adaptive tests, adaptive learning environments, educational simulations, and educational games. The selection…

Student evaluations of teaching and courses (SETs) are part of the fabric of tertiary education and quantitative ratings derived from SETs are highly valued by tertiary institutions. However, many staff do not engage meaningfully with SETs, especially if the process of analysing student feedback is cumbersome or time-consuming. To address this…

Quality feedback is crucial to learning; the growth of online delivery has altered how it is obtained and shared. Educators interested in improving online learning can benefit from understanding formal and informal feedback flows existing in face-to-face environments and how these transfer online. This article examines the nuance of informal…

This work presents an automated assessment tool for online distributed programming, called DSLab. It is a web-based environment that provides a transparent deployment and execution of assignments in remote computers, a transparent initialization and the possibility to add new logs by the students. DSLab has been evaluated in a real distributed…

Extensive literature in artificial intelligence in education focuses on developing automated methods for detecting cases in which students struggle to master content while working with educational software. Such cases have often been called "wheel-spinning," "unproductive persistence," or "unproductive struggle." We…

Automated writing evaluation (AWE) has been used increasingly to provide feedback on student writing. Previous research typically focused on its inter-rater reliability with human graders and validation frameworks. The limited body of research has only discussed students' attitudes or perceptions in general. A systematic investigation of the…

This study uses a computerized formative assessment system that provides automated scoring and feedback to help students write scientific arguments in a climate change curriculum. We compared the effect of contextualized versus generic automated feedback on students' explanations of scientific claims and attributions of uncertainty to those…

With the rapid increase of online learning and online degree programs, the need for a secure and fair scoring mechanisms in online learning becomes urgent. In this research, a secure scoring mechanism was designed and developed based on blockchain technology to build transparent and fair interactions among students and teachers. The proposed…

Self-direction skill is considered a vital skill for twenty-first-century learners in both the learning context and physical activity context. Analysis skill for self-directed activities requires the students to analyze their own activity data for understanding their status in that activity. It is an important phase that determines whether an…