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Harold Doran; Testsuhiro Yamada; Ted Diaz; Emre Gonulates; Vanessa Culver – Journal of Educational Measurement, 2025
Computer adaptive testing (CAT) is an increasingly common mode of test administration offering improved test security, better measurement precision, and the potential for shorter testing experiences. This article presents a new item selection algorithm based on a generalized objective function to support multiple types of testing conditions and…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Algorithms
Peter Baldwin; Victoria Yaneva; Kai North; Le An Ha; Yiyun Zhou; Alex J. Mechaber; Brian E. Clauser – Journal of Educational Measurement, 2025
Recent developments in the use of large-language models have led to substantial improvements in the accuracy of content-based automated scoring of free-text responses. The reported accuracy levels suggest that automated systems could have widespread applicability in assessment. However, before they are used in operational testing, other aspects of…
Descriptors: Artificial Intelligence, Scoring, Computational Linguistics, Accuracy
Noelle Brown; Sara Nurollahian; Eliane S. Wiese – ACM Transactions on Computing Education, 2025
While there have been many calls for teaching ethics and responsible computing, it is unclear how responsible computing instruction and technical learning interact. Some instructors even hesitate to include ethics in their courses, fearing it might distract students from learning technical computing content. An approach called…
Descriptors: Teaching Methods, Computer Science Education, Intervention, Ethics
Tian Luo; Pauline S. Muljana; Xinyue Ren; Dara Young – Educational Technology Research and Development, 2025
The emergence of generative artificial intelligence (GenAI) has caused significant disruptions on a global scale in various workplace settings, including the field of instructional design (ID). Given the paucity of research investigating the impact of GenAI on ID work, we conducted a mixed methods study to understand instructional designers (IDs)'…
Descriptors: Artificial Intelligence, Familiarity, Instructional Design, Brainstorming
Karol Lisette Rueda-Gómez; Luis J. Rodríguez-Muñiz; Laura Muñiz-Rodríguez – Education and Information Technologies, 2024
The goal of this research is to analyze the factors that mediate the success of the use of online learning support platforms, based on the perceptions of a focus group of university professors, with a qualitative methodological approach. The sample consisted of 11 mathematics professors who taught three subjects to 9 240 incoming students, during…
Descriptors: Educational Technology, College Faculty, Mathematics Teachers, Teacher Attitudes
Ziqian Xu; Fei Gao; Anqi Fa; Wen Qu; Zhiyong Zhang – Grantee Submission, 2024
Conditional process models, including moderated mediation models and mediated moderation models, are widely used in behavioral science research. However, few studies have examined approaches to conduct statistical power analysis for such models and there is also a lack of software packages that provide such power analysis functionalities. In this…
Descriptors: Statistical Analysis, Sample Size, Mediation Theory, Monte Carlo Methods
Antonio Estevan Martinez IV – Digital Experiences in Mathematics Education, 2024
Many areas of mathematics naturally lend themselves to machine-based computing environments, which suggests that computational environments may serve as useful mediating tools for the teaching and learning of mathematical content. While some mathematics classes are leveraging the use of computational tools, the implementation of computer…
Descriptors: Mathematics Education, Programming, Undergraduate Students, Competency Based Education
Damith Perera; Whitney Hilley; Juliana M. Nykolaiszyn – Journal of Access Services, 2024
This case study explores the transformation of study room reservations at the Oklahoma State University (OSU) Libraries. Initially reliant on manual methods, the library transitioned to vendor-supported software and would later develop a custom, open source user interface (UI) to streamline booking efficiency. These improvements help demonstrate…
Descriptors: Academic Libraries, Library Facilities, Study Facilities, Scheduling
Mike Perkins; Jasper Roe; Darius Postma; James McGaughran; Don Hickerson – Journal of Academic Ethics, 2024
This study explores the capability of academic staff assisted by the Turnitin Artificial Intelligence (AI) detection tool to identify the use of AI-generated content in university assessments. 22 different experimental submissions were produced using Open AI's ChatGPT tool, with prompting techniques used to reduce the likelihood of AI detectors…
Descriptors: Artificial Intelligence, Student Evaluation, Identification, Natural Language Processing
Orhun Türker; Ayse Derya Kahraman – Turkish Online Journal of Educational Technology - TOJET, 2024
Artificial intelligence is a popular technology that affects many fields today. Its impact is noticeable daily, especially in education, design, and other essential areas. This technology, which stands out with the convenience it creates for users and its help in organizing the workflow, will play a critical role in our lives in the future. This…
Descriptors: Artificial Intelligence, Educational Technology, Educational Innovation, Computer Software
Manuel Santos-Trigo; Matías Camacho-Machín; Fernando Barrera-Mora – ZDM: Mathematics Education, 2024
The aim of this paper is to review recently calculus curriculum reforms and research studies that document what types of understanding students develop in their precalculus courses. We argue that it is important to characterize what difficulties students experience to solve tasks that include the use of foundational calculus concepts and to look…
Descriptors: Mathematics Instruction, Calculus, Barriers, Problem Solving
Lennert J. Groot; Kees-Jan Kan; Suzanne Jak – Research Synthesis Methods, 2024
Researchers may have at their disposal the raw data of the studies they wish to meta-analyze. The goal of this study is to identify, illustrate, and compare a range of possible analysis options for researchers to whom raw data are available, wanting to fit a structural equation model (SEM) to these data. This study illustrates techniques that…
Descriptors: Meta Analysis, Structural Equation Models, Research Methodology, Data Analysis
Lisa Dieker; James Basham – Journal of Special Education Leadership, 2024
To compose "Case in Point" for this issue of "Journal of Special Education and Leadership," a prompt was given to the artificial intelligence (AI) tool "Co-Pilot." "Co-Pilot" was asked to write a commentary using each article's executive summary that was inputted into "Co-Pilot's" authored…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Software, Web Sites
Jacobo Roda-Segarra; Meritxell Simón-Martín; Andrés Payà Rico; José Luis Hernández Huerta – History of Education, 2024
Research in the field of History of Education has experienced a remarkable increase in recent decades. Resulting publications are referenced in generalist databases that do not catalogue academic works according to the specific characteristics of History of Education. Seeking to give response to this bibliographic gap, we are developing a database…
Descriptors: Educational History, Humanities, Journal Articles, Historians
Kurt VanLehn; Fabio Milner; Chandrani Banerjee; Jon Wetzel – International Journal of Artificial Intelligence in Education, 2024
An algebraic model uses a set of algebraic equations to describe a situation. Constructing such models is a fundamental skill, but many students still lack the skill, even after taking several algebra courses in high school and college. For such students, we developed instruction that taught students to decompose the to-be-modelled situation into…
Descriptors: Algebra, Mathematical Models, Low Achievement, Mathematics Instruction