The purpose of this study was to investigate the effect of augmented reality (AR) using a 3D app in a smartphone on students' learning outcomes and satisfaction in teaching angle measurement error to vocational high school students with different spatial ability. A quasi-experimental pretest/posttest was employed. There were 197 students from…

Mass adoption of neural machine translation (NMT) tools in the translation workflow has exerted a significant impact on the language services industry over the last decade. There are claims that with the advent of NMT, automated translation has reached human parity for translating news (see, e.g. Popel et al. 2020). Moreover, some machine…

Computer simulation and animation (CSA) is educational technology in which computer programs are employed to simulate and animate real-world physical phenomena and processes. CSA has attracted growing attention and received an increasing number of applications in the international science, technology, engineering, and mathematics education…

The purpose of this study is to investigate the frequency and levels of reflective thinking skills that took place in a collaborative learning environment utilising Google Docs. Google Docs was used as a cloud-based collaborative and interactive learning platform for twenty-five undergraduate students from a faculty of education who enrolled for…

Background: Evidence from new health technologies is growing, along with demands for evidence to inform policy decisions, creating challenges in completing health technology assessments (HTAs)/systematic reviews (SRs) in a timely manner. Software can decrease the time and burden by automating the process, but evidence validating such software is…

This article compares and contrasts the use of haptic and digital sketching in the design process. It investigates the preferred sketching method of final year design students. In addition, it examines the relationship between effective communication and the use of haptic and digital sketching. A case study involving ten final year students…

The use of mobile applications which are developed for smartphones and tablets is increasing. They use special features of the devices such as integrated cameras, geopositioning, and location and orientation sensors. The purpose of this study is to examine students' opinions on using an educational mobile application which is supported by sensors…

The traditional linear regression in applied linguistics (AL) suffers from the drawbacks arising from the strict assumptions namely: linearity, and normality, etc. More advanced methods are needed to overcome the shortcomings of the traditional method and grapple with intricate linguistic problems. However, there is no previous review on the…

The aim of the study was to focus on whether visual processing differs between distinct levels of reading competence in young adults, from a regular orthography. We compared the 10% highest scoring (HRC) and the 10% lowest scoring groups (LRC) of reading competence (using the word chain test, WCT) in visual processing of global coherent motion and…

Despite their drawback, multiple-choice questions are an enduring feature in instruction because they can be answered more rapidly than open response questions and they are easily scored. However, it can be difficult to generate good incorrect choices (called "distractors"). We designed an algorithm to generate distractors from a…

Students' engagement in E-learning applications is considered an important factor for learning. There is an evidence in the literature on the influence of students' engagement on their learning outcomes and achievement. Sound utilization in E-learning applications is expected to influence the students' engagement in such applications. However,…

Automated Essay Scoring (AES) can reliably grade essays at scale and reduce human effort in both classroom and commercial settings. There are currently three dominant supervised learning paradigms for building AES models: feature-based, neural, and hybrid. While feature-based models are more explainable, neural network models often outperform…

In educational applications, "Knowledge Tracing" (KT) has been widely studied for decades as it is considered a fundamental task towards adaptive online learning. Among proposed KT methods, Deep Knowledge Tracing (DKT) and its variants are by far the most effective ones due to the high flexibility of the neural network. However, DKT…

Classifying educational forum posts is a longstanding task in the research of Learning Analytics and Educational Data Mining. Though this task has been tackled by applying both traditional Machine Learning (ML) approaches (e.g., Logistics Regression and Random Forest) and up-to-date Deep Learning (DL) approaches, there lacks a systematic…

A new program, ECEP2D, for simulating the one-dimensional (1D) and two-dimensional (2D) patterns of the gel electrophoresis of a protein after it has been digested by one or more enzymes is introduced. With ECEP2D, students can gain deeper insights into gel electrophoresis by performing hands-on simulations. For example, students can visualize how…