Information and communication technologies have been transforming the way we teach and learn. Either for facilitating teaching practices or for making learning more interesting and joyful for the learners, artificial intelligence-based applications are utilized in recent years. In this connection, this study intends to examine if automated…

Practical programming competencies are critical to the success in computer science (CS) education and go-to-market of fresh graduates. Acquiring the required level of skills is a long journey of discovery, trial and error, and optimization seeking through a broad range of programming activities that learners must perform themselves. It is not…

The article addresses how a traditional Public commuter college library in the Bronx began making strides to automate student ID barcodes so online library access was granted without in person registrations. How does a barcode number get generated for an individual student and what offices need to be included in automating a library account? The…

Group formation is a critical factor which influences collaborative processes and performances in computer-supported collaborative learning (CSCL). Automatic grouping has been widely used to generate groups with heterogeneous attributes and to maximize the diversity of students' characteristics within a group. But there are two dominant challenges…

Software engineering is a growing field, with ever-increasing demand for capable engineers who can design, implement, and test the software that is needed for the modern world. With this increasing demand for software engineers, there is a corresponding increase in the demand placed on computer science programs that graduate these engineers.…

This case study explains the research procedures of a study that measured teachers' digital competency using a questionnaire and used an automated visualization platform to suggest appropriate professional development training based on their level of competency. To achieve the goal, the process was started by developing standard indicators for…

Advances in Artificial Intelligence (AI) technology and related fields like robotics have made it possible that automated systems will reach and then exceed human performance on more and more tasks. The affected fields span the economy, from health and education to energy and the environment. In this article, the authors define AI and provide some…

Automatic item generation (AIG)--a means of leveraging technology to create large quantities of items--requires a minimum number of items to offset the sizable upfront investment (i.e., model development and technology deployment) in order to achieve cost savings. In this cost-benefit analysis, we estimated the cost of each step of AIG and manual…

In recent years, automated feedback (AF) has greatly increased its applicability as a mean to support development of English as a foreign language (EFL) learners' writing competence in the context of face-to-face education. This study examines contribution of AF to the development of writing competence of EFL learners in open and distance learning…

The purpose of this study is to explore the realization of users' information rights (IRs) in the smart service of university libraries. Based on the LibQUAL model, principal component analysis (PCA) is used to measure the quality of smart services in university libraries. The contribution weight of various services to the realization of IRs is…

Feedback is generally regarded as an integral part of EFL writing instruction. Giving individual feedback on students' written products can lead to a demanding, if not insurmountable, task for EFL writing teachers, especially in classes with a large number of students. Several Automated Writing Evaluation (AWE) systems which can provide automated…

Although automated spoken language assessment is rapidly growing, such systems have not been widely developed for signed languages. This study provides validity evidence for an automated web application that was developed to assess and give feedback on handshape and hand movement of L2 learners' Swiss German Sign Language signs. The study shows…

In this paper, we extracted content-based and structure-based features of text to predict human annotations for claims and nonclaims in argumentative essays. We compared Logistic Regression, Bernoulli Naive Bayes, Gaussian Naive Bayes, Linear Support Vector Classification, Random Forest, and Neural Networks to train classification models. Random…

A good diagnostic assessment is one that can (i) discriminate between students of different abilities for a given skill set, (ii) be consistent with ground truth data and (iii) achieve this with as few assessment questions as possible. In this paper, we explore a method to meet these objectives. This is achieved by selecting questions from a…

This study aims to design and develop a Cashless Payment System with Automatic Identification and Data Collection (AIDC) technology in an educational institution in the Province of Nueva Ecija, Philippines to understand the processes and activities undertaken to develop the project. It utilizes a descriptive and developmental method of research…