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Barry O'Sullivan – Language Assessment Quarterly, 2023
This paper highlights as issues of concern the rapid changes in technology and the tendency to report on partial validation efforts where the work is not identified as forming part of a larger validation project. With close human supervision emerging technologies can have a significant and positive impact on language testing. While technology…
Descriptors: Technology Uses in Education, Computer Assisted Testing, Language Tests, Supervision
Xiaoming Zhai, Editor; Joseph Krajcik, Editor – Oxford University Press, 2025
In the age of rapid technological advancements, the integration of Artificial Intelligence (AI), machine learning (ML), and large language models (LLMs) in Science, Technology, Engineering, and Mathematics (STEM) education has emerged as a transformative force, reshaping pedagogical approaches and assessment methodologies. "Uses of AI in STEM…
Descriptors: Artificial Intelligence, STEM Education, Technology Uses in Education, Educational Technology
Brandon J. Yik; David G. Schreurs; Jeffrey R. Raker – Journal of Chemical Education, 2023
Acid-base chemistry, and in particular the Lewis acid-base model, is foundational to understanding mechanistic ideas. This is due to the similarity in language chemists use to describe Lewis acid-base reactions and nucleophile-electrophile interactions. The development of artificial intelligence and machine learning technologies has led to the…
Descriptors: Educational Technology, Formative Evaluation, Molecular Structure, Models
Gamage, Dilrukshi; Staubitz, Thomas; Whiting, Mark – Distance Education, 2021
We report on a systematic review of the landscape of peer assessment in massive open online courses (MOOCs) with papers from 2014 to 2020 in 20 leading education technology publication venues across four databases containing education technology-related papers, addressing three research issues: the evolution of peer assessment in MOOCs during the…
Descriptors: Peer Evaluation, Evaluation Methods, Online Courses, Large Group Instruction
Nelson, Nickola Wolf; Plante, Elena – Language, Speech, and Hearing Services in Schools, 2022
Purpose: This study evaluated the equivalence of the Test of Integrated Language and Literacy Skills (TILLS) when administrated via telepractice (Tele-TILLS) and face-to-face methods. Method: Participants were 51 children and adolescents in three age bands, ages 6-7 years (n = 9), 8-11 years (n = 21), and 12-18 years (n = 21). Data were gathered…
Descriptors: Telecommunications, Standardized Tests, Language Skills, Literacy
Zhang, Mo; Sinharay, Sandip – International Journal of Testing, 2022
This article demonstrates how recent advances in technology allow fine-grained analyses of candidate-produced essays, thus providing a deeper insight on writing performance. We examined how essay features, automatically extracted using natural language processing and keystroke logging techniques, can predict various performance measures using data…
Descriptors: At Risk Persons, Writing Achievement, Educational Technology, Writing Improvement
Ahtsham U. Niazi; Alayne Kealey; Stephen Choi; Lilia Kaustov; Jordan Tarshis – Discover Education, 2024
To improve clinical teaching skills, feedback on teachers' strengths and weaknesses needs to be reliable, timely, and relevant. To provide timely feedback we undertook development of an analytical dashboard to provide learner feedback to our faculty. As dashboard data displays are limited we performed a modified Delphi (mDelphi) method to…
Descriptors: Teacher Effectiveness, Teacher Improvement, Feedback (Response), Preferences
Office of Educational Technology, US Department of Education, 2023
The U.S. Department of Education (Department) is committed to supporting the use of technology to improve teaching and learning and to support innovation throughout educational systems. This report addresses the clear need for sharing knowledge and developing policies for "Artificial Intelligence," a rapidly advancing class of…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Educational Policy
Emily Relkin; Sara K. Johnson; Marina U. Bers – Educational Technology & Society, 2023
"TechCheck" is an assessment of Computational Thinking (CT) for early elementary school children consisting of fifteen developmentally appropriate unplugged challenges that probe six CT domains. The first version of "TechCheck" showed good psychometric properties as well as ease of administration and scoring in a validation…
Descriptors: Elementary School Students, Developmentally Appropriate Practices, Computation, Thinking Skills
Murphy, Robert F. – RAND Corporation, 2019
Recent applications of artificial intelligence (AI) have been successful in performing complex tasks in health care, financial markets, manufacturing, and transportation logistics, but the influence of AI applications in the education sphere has been limited. However, that may be changing. In this paper, the author discusses several ways that AI…
Descriptors: Elementary Secondary Education, Artificial Intelligence, Teaching Methods, Educational Technology
O'Leary, Michael; Scully, Darina; Karakolidis, Anastasios; Pitsia, Vasiliki – European Journal of Education, 2018
The role of digital technology in assessment has received a great deal of attention in recent years. Naturally, technology offers many practical benefits, such as increased efficiency with regard to the design, implementation and scoring of existing assessments. More importantly, it also has the potential to have profound, transformative effects…
Descriptors: Computer Assisted Testing, Educational Technology, Technology Uses in Education, Evaluation Methods
Zhai, Xiaoming; He, Peng; Krajcik, Joseph – Journal of Research in Science Teaching, 2022
Involving students in scientific modeling practice is one of the most effective approaches to achieving the next generation science education learning goals. Given the complexity and multirepresentational features of scientific models, scoring student-developed models is time- and cost-intensive, remaining one of the most challenging assessment…
Descriptors: Artificial Intelligence, Science Education, Models, Middle School Students
McCarthy, Kathryn S.; Roscoe, Rod D.; Likens, Aaron D.; McNamara, Danielle S. – Grantee Submission, 2019
This study investigated the effect of incorporating spelling and grammar checking tools within an automated writing tutoring system, Writing Pal. High school students (n = 119) wrote and revised six persuasive essays. After initial drafts, all students received formative feedback about writing strategies. Half of the participants were also given…
Descriptors: Spelling, Grammar, Automation, Writing Instruction
Shermis, Mark D. – Applied Measurement in Education, 2018
This article employs the Common European Framework Reference for Language Acquisition (CEFR) as a basis for evaluating writing in the context of machine scoring. The CEFR was designed as a framework for evaluating proficiency levels of speaking for the 49 languages comprising the European Union. The intent was to impact language instruction so…
Descriptors: Scoring, Automation, Essays, Language Proficiency
Lyons, Reneé; Genareo, Vincent; Simpson, Amber; Foegen, Anne; Stecker, Pamela M.; Olson, Jeannette – Learning Disabilities: A Contemporary Journal, 2019
This paper focuses on description and evaluation of a Web-based professional development system for teachers centered on the collection and use of frequent student performance information in algebra for instructional decision making. With U.S. federal grant funding, researchers developed Web-based instructional modules, which provided interactive…
Descriptors: Algebra, Progress Monitoring, Online Courses, Faculty Development