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Kinarsky, Alana R.; Christie, Christina A. – American Journal of Evaluation, 2022
Since 2007, two taxonomies have been proposed to identify the components of evaluation practice that may be specified in an evaluation policy. Little is known, however, about how these taxonomies align with evaluation policies developed by philanthropic foundations. Through thematic analysis, this article first compares 12 foundation evaluation…
Descriptors: Taxonomy, Evaluation Methods, Philanthropic Foundations, Educational Policy
Petruccelli, Marisa; Ramella, Leah; Schaefer, Ana J.; Sheldrick, R. Christopher; Carter, Alice S.; Eisenhower, Abbey; Broder-Fingert, Sarabeth; Mackie, Thomas I. – Journal of Autism and Developmental Disorders, 2022
The U.S. Preventive Services Task Force (USPSTF) report on screening for Autism Spectrum Disorder (ASD) highlighted the need for research that examines the harms potentially associated with screening so as to assess the overall net benefit of universal screening. In response, this study engages qualitative, semi-structured interviews to generate a…
Descriptors: Taxonomy, Risk, Autism, Pervasive Developmental Disorders
Poole, Frederick J.; Clarke-Midura, Jody; Rasmussen, Melissa; Shehzad, Umar; Lee, Victor R. – Computer Science Education, 2022
There is a growing perception that computational thinking can be developed in unplugged environments. A recent trend among these unplugged approaches is the use of tabletop games. While there are many commercial tabletop games on the market that are promoted as teaching computer science and/or computational skills, little is known about how these…
Descriptors: Teaching Methods, Games, Computation, Thinking Skills
Costa, Newarney Torrezão; de Almeida, Denis José; Oliveira, Gustavo Prado; Fernandes, Márcia Aparecida – International Journal of Distance Education Technologies, 2022
Personalized sequencing and recommendation of pedagogical actions in virtual learning environments are relevant aspects in promoting an effective learning process with computer-aided support. Hence, this work investigates the use of automated planning to sequence these actions according to student profiles. Actions are modeled to correspond to the…
Descriptors: Automation, Planning, Electronic Learning, Cognitive Processes
Larsen, Tori M.; Endo, Bianca H.; Yee, Alexander T.; Do, Tony; Lo, Stanley M. – CBE - Life Sciences Education, 2022
Bloom's taxonomy is a classification of learning objectives originally developed for general educational purposes. The taxonomy was revised to expand beyond cognitive processes and to include knowledge types as an orthogonal dimension. As Bloom's taxonomy is a tool widely used in biology education by researchers and instructors, it is important to…
Descriptors: Taxonomy, Educational Objectives, Cognitive Processes, Verbs
Sudirtha, I Gede; Widiana, I Wayan; Adijaya, Made Aryawan – Journal of Education and e-Learning Research, 2022
Learning activities carried out in schools today lack innovative and varied approaches. There are few learning activities that can help develop students' meta cognitive abilities. Meta cognitive abilities are important for students to realize their weaknesses and strengths in studying and utilizing learning materials. This study analyses the…
Descriptors: Metacognition, Cognitive Ability, Grade 4, Elementary School Students
Tri Mikael Tran; Misa Bakajic; Madeleine Pullman – Higher Education: The International Journal of Higher Education Research, 2025
The popularity of ChatGPT raises concerns about the impacts of artificial intelligence (AI) on higher education. While past research explored how ChatGPT, a widely recognized text-based generative AI, can improve productivity and efficiency in education, little is yet known about its impact on course design. Utilizing Bloom's taxonomy and Biggs'…
Descriptors: Influence of Technology, Artificial Intelligence, Technology Uses in Education, Curriculum Design
Mason C. McNair; Chelsea M. Sexton; Mark Zenoble – Journal of College Science Teaching, 2023
Following the switch to remote online teaching in the wake of the COVID-19 pandemic, the plant taxonomy course at the University of Georgia (UGA) switched to iNaturalist for the specimen collection portion of the course requirements. Building off extant rubrics, the instructors designed project guidelines for a fully online plant collection…
Descriptors: Plants (Botany), Electronic Learning, Taxonomy, Course Content
Husain, Farhat Najam – International Education Studies, 2023
In an era where the success of our schools is determined by standardized examinations, it is critical to allow students to utilize their creativity and the power of technology to enhance vital skills and learn in innovative ways. In today's fast-paced technological environment, we are on the verge of a technology revolution that will modify and…
Descriptors: Multiple Intelligences, 21st Century Skills, Employment Potential, Futures (of Society)
Vitello, Sylvia; Crisp, Victoria; Ireland, Jo – Research Matters, 2023
Assessment materials must be checked for errors before they are presented to candidates. Any errors have the potential to reduce validity. For example, in the most extreme cases, an error may turn an otherwise well-designed exam question into one that is impossible to answer. In Cambridge University Press & Assessment, assessment materials are…
Descriptors: Check Lists, Test Validity, Error Correction, Test Construction
Lu Ye; Yu Jin – Journal of Statistics and Data Science Education, 2024
Statistics is interdisciplinary and the practical application of statistical methods in various areas prompts undergraduates to learn more about statistics and better understand complex methods. This article presents a classroom teaching design that guides students in reading COVID-19 literature. The activities presented encourage peer-peer and…
Descriptors: Reading Instruction, Statistics Education, COVID-19, Pandemics
Bahar Memarian; Tenzin Doleck – Education and Information Technologies, 2024
There is a need to conceptualize a multidimensional taxonomy for learner-AI interaction. This conceptual/perspective article shares recent work on AI learner education and further presents new conceptions for a multidimensional taxonomy for learner-AI interaction. A review of the literature is conducted (N = 11). Open coding is used to summarize…
Descriptors: Journal Articles, Artificial Intelligence, Taxonomy, Man Machine Systems
Quinn Tyminski; Grayson B. Owens – International Journal of Educational Management, 2024
Purpose: Competencies for leadership in higher education have begun to emerge in the literature. Yet to better equip future leaders in higher education, the use of a learning taxonomy may serve as a framework to understand necessary learning for leaders in higher education. The aim of this study is to explore the competencies of higher education…
Descriptors: Higher Education, College Administration, Leadership Qualities, Competence
Lung-Hsiang Wong; Hyejin Park; Chee-Kit Looi – Journal of Computer Assisted Learning, 2024
Background: The emergence of ChatGPT in the education literature represents a transformative phase in educational technology research, marked by a surge in publications driven by initial research interest in new topics and media hype. While these publications highlight ChatGPT's potential in education, concerns arise regarding their quality,…
Descriptors: Bibliometrics, Artificial Intelligence, Computer Software, Citations (References)
Yerin Kwak; Zachary A. Pardos – British Journal of Educational Technology, 2024
The adoption of large language models (LLMs) in education holds much promise. However, like many technological innovations before them, adoption and access can often be inequitable from the outset, creating more divides than they bridge. In this paper, we explore the magnitude of the country and language divide in the leading open-source and…
Descriptors: Foreign Countries, Multilingualism, Instructional Materials, Access to Education

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