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Irina Tursunkulova; Suzanne de Castell; Jennifer Jenson – International Association for Development of the Information Society, 2023
The exponential growth of scholarly publications in recent years has presented a daunting challenge for researchers to keep track of relevant articles within their research field. To address this issue, we examined the capabilities of InfraNodus, an AI-Powered text network analysis platform. InfraNodus promises to provide insights into any…
Descriptors: Research, Journal Articles, Artificial Intelligence, Evaluation Methods
Yuan Tian; Xi Yang; Suhail A. Doi; Luis Furuya-Kanamori; Lifeng Lin; Joey S. W. Kwong; Chang Xu – Research Synthesis Methods, 2024
RobotReviewer is a tool for automatically assessing the risk of bias in randomized controlled trials, but there is limited evidence of its reliability. We evaluated the agreement between RobotReviewer and humans regarding the risk of bias assessment based on 1955 randomized controlled trials. The risk of bias in these trials was assessed via two…
Descriptors: Risk, Randomized Controlled Trials, Classification, Robotics
Chattoe-Brown, Edmund – International Journal of Social Research Methodology, 2023
This article argues that Agent-Based Modelling, owing to its capabilities and methodology, has a distinctive contribution to make to delivering coherent social science prediction. The argument has four parts. The first identifies key elements of social science prediction induced from real research across disciplines, thus avoiding a straw person…
Descriptors: Futures (of Society), Models, Evaluation Methods, Social Science Research
Kimbell, Richard – International Journal of Technology and Design Education, 2022
Conventional approaches to assessment involve teachers and examiners judging the quality of learners work by reference to lists of criteria or other 'outcome' statements. This paper explores a quite different method of assessment using 'Adaptive Comparative Judgement' (ACJ) that was developed within a research project at Goldsmiths University of…
Descriptors: Student Evaluation, Evaluation Methods, Alternative Assessment, Value Judgment
Sinan Onal; Derya Kulavuz-Onal – Journal of Educational Technology Systems, 2024
This paper examines the potential uses of ChatGPT in generating assessment tasks that can be used across different disciplines in higher education. To illustrate this, we provide examples from three courses in the disciplines of industrial engineering and applied linguistics: Project Analysis and Control, Manufacturing Processes, and Introduction…
Descriptors: Teaching Methods, Higher Education, Artificial Intelligence, Synchronous Communication
Ecological Momentary Assessment as a Delivery Service for Progress Monitoring Internalizing Concerns
Ishan N. Vengurlekar; Carly Oddleifson; Chelsea Salvatore; Stephen P. Kilgus; Evan H. Dart – Journal of Applied School Psychology, 2025
Progress monitoring data provide important information on student functioning in response to an intervention. Yet, there are several barriers to effective progress monitoring of internalizing symptoms among youth. To address these concerns, the current paper conceptualized the use of ecological momentary assessment (EMA) as a service delivery…
Descriptors: Middle School Students, Progress Monitoring, Student Improvement, Emotional Response
Giabbanelli, Philippe J.; Tawfik, Andrew A.; Wang, Bao – Journal of Research on Technology in Education, 2023
Instructional strategies employing complex problem-solving examine how learners represent the problem space and argue for decisions. Unlike problems with few solutions (e.g., multiple choices), instructors struggle to evaluate solutions to ill-structured problems quickly and consistently across students. This prevents instructors to provide timely…
Descriptors: Problem Solving, Maps, Artificial Intelligence, Evaluation Methods
Eric Page; Gretchen Meyers; Eve Krahe Billings – Intersection: A Journal at the Intersection of Assessment and Learning, 2024
Recent advancements in generative artificial intelligence (AI) have disrupted assessment practices within the higher education sector. The efficacy of existing assessment approaches is under reexamination with the introduction of generative AI's ability to generate human-like text. Simultaneously, there are calls to integrate generative AI into…
Descriptors: Theory Practice Relationship, Artificial Intelligence, Technology Integration, Computer Software
Raykov, Tenko; Pusic, Martin – Educational and Psychological Measurement, 2023
This note is concerned with evaluation of location parameters for polytomous items in multiple-component measuring instruments. A point and interval estimation procedure for these parameters is outlined that is developed within the framework of latent variable modeling. The method permits educational, behavioral, biomedical, and marketing…
Descriptors: Item Analysis, Measurement Techniques, Computer Software, Intervals
Tahereh Firoozi; Okan Bulut; Mark J. Gierl – International Journal of Assessment Tools in Education, 2023
The proliferation of large language models represents a paradigm shift in the landscape of automated essay scoring (AES) systems, fundamentally elevating their accuracy and efficacy. This study presents an extensive examination of large language models, with a particular emphasis on the transformative influence of transformer-based models, such as…
Descriptors: Turkish, Writing Evaluation, Essays, Accuracy
OECD Publishing, 2023
As artificial intelligence (AI) expands its scope of applications across society, understanding its impact becomes increasingly critical. The OECD's AI and the Future of Skills (AIFS) project is developing a comprehensive framework for regularly measuring AI capabilities and comparing them to human skills. The resulting AI indicators should help…
Descriptors: Artificial Intelligence, Skill Development, Computer Software, Futures (of Society)
Alderton, Julie; Pratt, Nick – Critical Studies in Education, 2022
Recent policy reforms to the national assessment system in England have altered the way in which teachers undertake assessment. Through an analysis of data from a small-scale interview study with eleven primary teachers in the south and east of England, we examine the ways in which teachers work with assessment software to monitor and track…
Descriptors: Foreign Countries, Computer Software, Evaluation Methods, Elementary School Teachers
Yizhu Gao; Xiaoming Zhai; Min Li; Gyeonggeon Lee; Xiaoxiao Liu – Grantee Submission, 2025
The rapid evolution of generative artificial intelligence (GenAI) is transforming science education by facilitating innovative pedagogical paradigms while raising substantial concerns about scholarly integrity. One particularly pressing issue is the growing risk of student use of GenAI tools to outsource assessment tasks, potentially compromising…
Descriptors: Artificial Intelligence, Computer Software, Science Education, Integrity
Chung, Seungwon; Houts, Carrie – Measurement: Interdisciplinary Research and Perspectives, 2020
Advanced modeling of item response data through the item response theory (IRT) or item factor analysis frameworks is becoming increasingly popular. In the social and behavioral sciences, the underlying structure of tests/assessments is often multidimensional (i.e., more than 1 latent variable/construct is represented in the items). This review…
Descriptors: Item Response Theory, Evaluation Methods, Models, Factor Analysis
Hartvigsen, Teresa; Durfee, Melanie; Call, Todd; Throndsen, Jennifer – Utah State Board of Education, 2021
The Early Interactive Reading Software Program encourages literacy growth and achievement in students in grades K-3. The program addresses early reading through the use of computer-based literacy software which provides individualized instruction designed to supplement students' classroom learning. During the 2019-2020 school year, these software…
Descriptors: Elementary School Students, Primary Education, Reading Instruction, Computer Assisted Instruction