This research was conducted to determine the effects of the using negative knowledge-based Intelligent Teaching System (ITS) evaluator software in the assessment and evaluation processes of English Teaching as a Foreign language. Experimental design with the pretest-posttest control group was used in this study. The study group consists of 67…

This article addresses ways in which members of Generation Z construct identity as techno-entrepreneurs by using livestreaming applications. Drawing on quantitative and qualitative assessments of surveys, interviews, documents, and observations, the authors show how visual and verbal conduct based on expressions, interaction, communication, and…

In response to the need to broaden participation in computer science, we designed a summer camp to teach middle-school-aged youth to code apps with MIT App Inventor. For the past four summers, we have observed significant gains in youth's interest and self-efficacy in computer science, after attending our camps. The majority of these youth,…

In the provision of massive open online courses (MOOCs), cloud computing services enable students to synchronize their study materials anywhere, anytime, and using any device, which can improve learning performance and strengthen the teacher-student relationship via knowledge sharing. This study builds on the…

This pilot study examines users' perceptions of Bande à Part, a music application designed for learners of French. The technology acceptance model (TAM) was adopted to investigate users' perceptions of the app's usability and potential for second language (L2) learning. The model's two constructs, perceived usefulness and perceived ease of use,…

This research aims to develop the MPI study program 's academic information to improve the efficiency and effectiveness of education services by web-based information systems by updating the State Civil Establishment (ASN) values, using the approach of Participatory Action Research (PAR). The solution to the issue of web-based academic services in…

Background: Chronic disease management constitutes a special challenge in the United States due to deficiencies in the healthcare system. Chronic disease self-management (CDSM) using technology and gaming principles is a promising way to overcome these challenges. Yet, there are few disease-specific apps to benefit the populations likely to…

Agent technology has become one of the dynamic and most interesting areas of computer science in recent years. The dynamism of this technology has resulted in computer generated characters, known as pedagogical agent, entering the digital learning environments in increasing numbers. Commonly deployed in implementing tutoring strategies, these…

In Australia, international students who do not meet university set English language requirements can alternatively attend intensive courses in English for Academic Purposes (EAP). Such courses are steeped in the traditions of communicative language teaching, often holding 'English only' classroom policies. This article draws on data from a larger…

The theorization of how multimodal learning intersects with online teaching environments has emerged as a key research area in relationship to the creation of opportunities for L2 online interaction. However, there are few studies which have examined how cross-cultural dyads harness and orchestrate semiotic resources across mobile technologies…

Social networking service platforms and social media have generated a significant amount of discussion and debate regarding their use in second or foreign language learning. However, leveraging digital tools with pedagogical constructs to enhance accessibility and engagement in teaching and learning English idiomatics has not received equal…

The aim of this paper is to show the impact of Information and Communications Technology (ICT) by using WhatsApp with activities based on collaborative work, real time communication, and feedback. The relevance of presenting authentic material such as topics of students' interest combined with collaborative work is central for developing…

In the present study, three groups of interpreter trainees were formed, two experimental groups, i.e., blended prosody instruction (BPI) and computer-assisted prosody training (CAPT), and one control group (CON). In this experiment the participants took part in a four-week teaching program for 16 sessions (60 minutes per session), i.e., 16 hours…

Background: This research is inspired by the challenges encountered in interpreter training, changes in learning needs in the technological era, the educational paradigm shift caused by the COVID-19 pandemic, the lack of studies on combining virtual reality (VR)_and mobile technologies, and literature gaps in the field of the incorporation of…

In this investigation we propose new machine learning methods for automated scoring models that predict the vocabulary acquisition in science and social studies of second grade English language learners, based upon free-form spoken responses. We evaluate performance on an existing dataset and use transfer learning from a large pre-trained language…