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Tenko Raykov; Lisa Calvocoressi; Randall E. Schumacker – Measurement: Interdisciplinary Research and Perspectives, 2024
This paper is concerned with the process of selecting between the increasingly popular bi-factor model and the second-order factor model in measurement research. It is indicated that in certain settings widely used in empirical studies, the second-order model is nested in the bi-factor model and obtained from the latter after imposing appropriate…
Descriptors: Factor Analysis, Decision Making, Computer Software, Measurement Techniques
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Melissa Fortner; Iva Katzarska-Miller – Teaching of Psychology, 2025
Introduction: Recent advancements in generative AI (GAI) platforms appear to mark an abrupt shift in higher education. Statement of the Problem: Instructors have a responsibility to teach students to use GAI, which is a promising tool for promoting personalized, student-centered, process-focused learning environments. Literature Review: Drawing on…
Descriptors: Artificial Intelligence, Majors (Students), Computer Software, Student Centered Learning
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Teck Kiang Tan – Practical Assessment, Research & Evaluation, 2024
The procedures of carrying out factorial invariance to validate a construct were well developed to ensure the reliability of the construct that can be used across groups for comparison and analysis, yet mainly restricted to the frequentist approach. This motivates an update to incorporate the growing Bayesian approach for carrying out the Bayesian…
Descriptors: Bayesian Statistics, Factor Analysis, Programming Languages, Reliability
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Acacia L. Overono; Annie S. Ditta – Teaching of Psychology, 2025
Introduction: The proliferation and accessibility of generative artificial intelligence (AI) have led to strong reactions across the academia. Statement of the Problem: Teachers can adapt to the availability of AI by integrating disclosure statements about its use into courses, which may promote student learning. Literature Review: Suggestions to…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Self Disclosure (Individuals)
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Mortaza Jamshidian; Parsa Jamshidian – Journal of Statistics and Data Science Education, 2024
Using software to teach statistical inference in introductory courses opens the door for methods and practices that are more conceptually appealing to students. With an increasing number of fields requiring competency in statistics including data science, natural and social sciences, public health and more, it is crucial that we as instructors…
Descriptors: Computer Software, Computer Assisted Instruction, Teaching Methods, Statistics Education
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Moro, Christian; Mills, Kathy A.; Phelps, Charlotte; Birt, James – International Journal of Educational Technology in Higher Education, 2023
Educational institutions are increasingly investing into digital delivery, acquiring new devices, and employing novel software and services. The rising costs associated with maintenance, in combination with increasing redundancy of older technologies, presents multiple challenges. While lesson content itself may not have changed, the educational…
Descriptors: Sustainability, Educational Technology, Blended Learning, Intervention
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Ala' J. Alnaser; Justin Hoffmeier – International Journal of Mathematical Education in Science and Technology, 2024
Differential equations are widely used tools for modelling the world around us, making a course in differential equations a natural place for students to connect concrete mathematical applications to abstract concepts. Since students grasp the concepts better by applying them, introducing differential equations through modelling becomes essential.…
Descriptors: Mathematics Instruction, Mathematical Models, Advanced Courses, Mathematical Concepts
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Oliveira, André de Sá Braga; Leonel, Luciano César P. C.; LaHood, Edward R.; Hallak, Hana; Link, Michael J.; Maleszewski, Joseph J.; Pinheiro-Neto, Carlos D.; Morris, Jonathan M.; Peris-Celda, Maria – Anatomical Sciences Education, 2023
Hands-on dissections using cadaveric tissues for neuroanatomical education are not easily available in many educational institutions due to financial, safety, and ethical factors. Supplementary pedagogical tools, for instance, 3D models of anatomical specimens acquired with photogrammetry are an efficient alternative to democratize the 3D…
Descriptors: Guidelines, Anatomy, Computer Simulation, Models
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Nouf J. Aljohani – Computer Assisted Language Learning, 2025
This paper proposes an updated framework for the evaluation of the computer-assisted language learning (CALL) framework, further developed from Chapelle (2001) and González-Lloret and Ortega (2014). Based on a review of prominent previous CALL evaluation frameworks, an exploration of relevant literature in formal evaluation and my own first-hand…
Descriptors: Task Analysis, Second Language Learning, Second Language Instruction, Computer Assisted Instruction
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Abdur R. Shahid; Sushma Mishra – Journal of Information Systems Education, 2024
Due to the increasing demand for efficient, effective, and profitable applications of Artificial Intelligence (AI) in various industries, there is an immense need for professionals with the right skills to meet this demand. As a result, several institutions have started to offer AI programs. Yet, there is a notable gap in academia: the absence of…
Descriptors: Masters Programs, Information Systems, Computer Science Education, Artificial Intelligence
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Rodgers, Aireale J. – Change: The Magazine of Higher Learning, 2022
As digital learning becomes an increasingly popular modality for teaching and learning, so too has the use of courseware in postsecondary institutions. Approaching the design and implementation of digital courseware from an explicitly equity-minded perspective is vital to supporting historically marginalized students. I offer the Equity First…
Descriptors: Equal Education, Courseware, Computer Software, Teaching Methods
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Alenezi, Mamdouh – Education Sciences, 2021
In the present times, digital transformation has gained momentum. Contemporary higher education institutions have been embracing new technologies and transforming their practices, business models and process. Digital transformation in the higher education institutions is about the development of new more advanced and effective methods and…
Descriptors: Educational Change, Higher Education, Information Technology, Institutional Mission
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David B. Nelson; Anaelle Emma Gackiere; Samantha Elizabeth LeGrand; Daniel A. Guberman – Thresholds in Education, 2025
In response to the significant disruption posed by emergent AI technology, we propose a four part framework for teaching and learning practice and development. Rather than focus on the specific technologies of the moment, this framework provides actionable suggestions for individuals with varying views of AI and its positive and negative…
Descriptors: Teaching Methods, Learning Processes, Algorithms, Artificial Intelligence
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Colestock, Ed – College and University, 2020
Emerging regulations require higher education financial aid staff to handle many tasks. Complying with these regulations and participating in mandated compliance audits are complex processes that require numerous departments to work in concert. This article discusses what steps colleges and universities can take to improve their compliance audits.…
Descriptors: Student Financial Aid, Audits (Verification), Higher Education, Program Evaluation
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Parajuli, Rajan; McConnell, Eric; Tanger, Shaun; Henderson, James – Journal of Extension, 2019
State agencies and Extension professionals often employ IMPLAN software and associated data to conduct economic contribution analyses of the forest sector. Economic contribution reports often vary with regard to modeling, results presentation, and interpretation of estimates. We present practical guidelines for report users on how to better…
Descriptors: Forestry, Economic Impact, Input Output Analysis, Models
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