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Say What? Automatic Modeling of Collaborative Problem Solving Skills from Student Speech in the Wild
Pugh, Samuel L.; Subburaj, Shree Krishna; Rao, Arjun Ramesh; Stewart, Angela E. B.; Andrews-Todd, Jessica; D'Mello, Sidney K. – International Educational Data Mining Society, 2021
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…
Descriptors: Problem Solving, Cooperation, Middle School Students, High School Students
Lynette Hazelton; Jessica Nastal; Norbert Elliot; Jill Burstein; Daniel F. McCaffrey – Grantee Submission, 2021
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…
Descriptors: Formative Evaluation, Writing Evaluation, Automation, Natural Language Processing
Yousofi, Rohullah – Cogent Education, 2022
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…
Descriptors: Foreign Countries, Educational Technology, Computer Software, Grammar
Kassim, Mohd Azraai; Damio, Siti Maftuhah; Omar, Abdul Rahman – Asian Journal of University Education, 2020
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…
Descriptors: Foreign Countries, Curriculum Implementation, Undergraduate Students, Employment Potential
Muhafidin, Didin – Journal of Social Studies Education Research, 2020
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…
Descriptors: Higher Education, Foreign Countries, Information Systems, Databases
Lumina Foundation, 2020
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…
Descriptors: Futures (of Society), Employment, Education Work Relationship, Postsecondary Education
Wilson, Joshua; Rodrigues, Jessica – Grantee Submission, 2020
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…
Descriptors: Writing Tests, Screening Tests, Classification, Accuracy
Ziwei Zhou – ProQuest LLC, 2020
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…
Descriptors: Certification, Speech Skills, Automation, Scoring
Younes-Aziz Bachiri; Hicham Mouncif; Belaid Bouikhalene; Radoine Hamzaoui – Turkish Online Journal of Distance Education, 2024
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…
Descriptors: Foreign Countries, Artificial Intelligence, Speech Communication, Identification
Carberry, Tom P.; Lukeman, Philip S.; Covell, Dustin J. – Journal of Chemical Education, 2019
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…
Descriptors: Science Instruction, Computer Software, Grading, Science Tests
Sawada, Yasuyuki – International Journal of Training Research, 2019
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,…
Descriptors: Foreign Countries, Job Development, Labor Force Development, Job Skills
García-Floriano, Andrés; Ferreira-Santiago, Angel; Yáñez-Márquez, Cornelio; Camacho-Nieto, Oscar; Aldape-Pérez, Mario; Villuendas-Rey, Yenny – International Review of Research in Open and Distributed Learning, 2017
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.…
Descriptors: Distance Education, Social Media, Metadata, Classification
Zhang, Haoran; Litman, Diane – Grantee Submission, 2017
Manually grading the Response to Text Assessment (RTA) is labor intensive. Therefore, an automatic method is being developed for scoring analytical writing when the RTA is administered in large numbers of classrooms. Our long-term goal is to also use this scoring method to provide formative feedback to students and teachers about students' writing…
Descriptors: Automation, Scoring, Evidence, Scoring Rubrics
Jennifer K. Olsen; Nikol Rummel; Vincent Aleven – Grantee Submission, 2018
In classrooms, it can be difficult to implement adaptive activities that span social planes (e.g., whole class, group, individual) due to the demands on teacher attention. To make these activities more feasible in classrooms, orchestration tools, which support the classroom management, can be integrated. We present findings from co-design sessions…
Descriptors: Automation, Professional Autonomy, Elementary School Teachers, Middle School Students
Lu, Owen H. T.; Huang, Anna Y. Q.; Tsai, Danny C. L.; Yang, Stephen J. H. – Educational Technology & Society, 2021
Human-guided machine learning can improve computing intelligence, and it can accurately assist humans in various tasks. In education research, artificial intelligence (AI) is applicable in many situations, such as predicting students' learning paths and strategies. In this study, we explore the benefits of repetitive practice of short-answer…
Descriptors: Test Items, Artificial Intelligence, Test Construction, Student Evaluation