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Yildirim-Erbasli, Seyma N.; Bulut, Okan; Demmans Epp, Carrie; Cui, Ying – Journal of Educational Technology Systems, 2023
Conversational agents have been widely used in education to support student learning. There have been recent attempts to design and use conversational agents to conduct assessments (i.e., conversation-based assessments: CBA). In this study, we developed CBA with constructed and selected-response tests using Rasa--an artificial intelligence-based…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Computer Mediated Communication, Formative Evaluation
Brandon Sepulvado; Jennifer Hamilton – Society for Research on Educational Effectiveness, 2021
Background: Traditional survey efforts to gather outcome data at scale have significant limitations, including cost, time, and respondent burden. This pilot study explored new and innovative large-scale methods of collecting and validating data from publicly available sources. Taking advantage of emerging data science techniques, we leverage…
Descriptors: Automation, Data Collection, Data Analysis, Validity
Ponce, Héctor R.; Mayer, Richard E.; Sitthiworachart, Jirarat; López, Mario J. – Educational Technology Research and Development, 2020
The transition from paper-based tests to corresponding computer-administered tests allows for the incorporation of improved interfaces that support response making. The main research question is whether innovative interfaces affect test response time and/or response accuracy. This study compared performance on banked cloze tests using a…
Descriptors: Cloze Procedure, Eye Movements, Reaction Time, Accuracy
An Early Feedback Prediction System for Learners At-Risk within a First-Year Higher Education Course
Baneres, David; Rodriguez-Gonzalez, M. Elena; Serra, Montse – IEEE Transactions on Learning Technologies, 2019
Identifying at-risk students as soon as possible is a challenge in educational institutions. Decreasing the time lag between identification and real at-risk state may significantly reduce the risk of failure or disengage. In small courses, their identification is relatively easy, but it is impractical on larger ones. Current Learning Management…
Descriptors: Prediction, Feedback (Response), At Risk Students, College Freshmen
Sodnik, Jaka; Jakus, Grega; Tomazic, Saso – Journal of Visual Impairment & Blindness, 2012
Introduction: This article reports on a study that explored the benefits and drawbacks of using spatially positioned synthesized speech in auditory interfaces for computer users who are visually impaired (that is, are blind or have low vision). The study was a practical application of such systems--an enhanced word processing application compared…
Descriptors: Computers, Visual Impairments, Adults, Assistive Technology
Leung, Rock; McGrenere, Joanna; Graf, Peter – Behaviour & Information Technology, 2011
Mobile devices offer much potential to support older adults (age 65+). However, older adults have been relatively slow to adopt mobile devices. Although much ongoing HCI research has examined usability problems to address this issue, little work has looked at whether existing graphical icons are harder to use for this population compared with…
Descriptors: Older Adults, Usability, Age Differences, Handheld Devices