In this paper, we demonstrate how machine learning could be used to quickly assess a student's multimodal representational thinking. Multimodal representational thinking is the complex construct that encodes how students form conceptual, perceptual, graphical, or mathematical symbols in their mind. The augmented reality (AR) technology is adopted…

Test development is a crucial, yet difficult and time-consuming part of any educational system, and the task often falls all on teachers. Automatic item generation systems have recently drawn attention as they can reduce this burden and make test development more convenient. Such systems have been developed to generate items for vocabulary,…

Purpose: The purpose of this paper is to contribute to the literature on issues regarding the influence of skill-polarized workplace on jobs, human capital and organization from human resource development's (HRD's) perspective, this research identified 30 displaceable skills from endangered jobs and examined 423 adult employees' awareness and…

We investigated the feasibility of using automatic speech recognition (ASR) and natural language processing (NLP) to classify collaborative problem solving (CPS) skills from recorded speech in noisy environments. We analyzed data from 44 dyads of middle and high school students who used videoconferencing to collaboratively solve physics and math…

In writing studies research, automated writing evaluation technology is typically examined for a specific, often narrow purpose: to evaluate a particular writing improvement measure, to mine data for changes in writing performance, or to demonstrate the effectiveness of a single technology and accompanying validity arguments. This article adopts a…

Automated writing evaluation (AWE) programs have been widely utilized in writing classrooms and have been increasing gradually, yet teachers' and students' attitudes in relation to AWE, Grammarly, have still remained uncharted in Afghanistan. The current study explored teachers' and students' attitudes toward the efficacy and/or inefficacy of…

The workforce of today and tomorrow, particularly graduates are likely to experience more challenges as the availability of permanent jobs are getting sparse. This is partly due to automatisation as well as technological development. However, with automatisation and technological development, new types of occupations have emerged, mainly related…

Information Communication and Technology has made a lot of investments to the rapid transformation of modern society. The goal of the study was to establish a highly customized student information and accounting system in Indonesia to promote the enrolment and accounting phase and to meet the needs of all clients and employees in the provision of…

Economists, policymakers and other experts spend a great deal of time talking about the "future of work," but in many ways, the future is already here. Profound changes are already affecting our workforce and economy, including globalization, automation, and artificial intelligence. We need to adapt to these changes by adequately…

The present study leveraged advances in automated essay scoring (AES) technology to explore a proof of concept for a writing screener using the "Project Essay Grade" (PEG) program. First, the study investigated the extent to which an AES-scored multi-prompt writing screener accurately classified students as at risk of failing a Common…

In light of the ever-increasing capability of computer technology and advancement in speech and natural language processing techniques, automated speech scoring of constructed responses is gaining popularity in many high-stakes assessment and low-stakes educational settings. Automated scoring is a highly interdisciplinary and complex subject, and…

This study examined the integration of artificial intelligence-powered speech recognition technology within early reading assessments in Morocco's Teaching at the Right Level (TaRL) program. The purpose was to evaluate the effectiveness of an automated speech recognition tool compared to traditional paper-based assessments in improving reading…

We present here an extension of Morrison's and Ruder's "Sequence-Response Questions" (SRQs) that allows for more nuance in the assessment of student responses to these questions. We have implemented grading software (which we call ANGST, "Automated Nuanced Grading & Statistics Tool") in a Microsoft Excel sheet that can take…

Development economists have considered physical infrastructure to be a precondition for industrialization and economic development. Infrastructure investments play a particularly important role in expanding overall employment opportunities either directly by absorbing workers or indirectly by crowding in private investments, technology adoption,…

Social networking potentially offers improved distance learning environments by enabling the exchange of resources between learners. The existence of properly classified content results in an enhanced distance learning experience in which appropriate materials can be retrieved efficiently; however, for this to happen, metadata needs to be present.…