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Maristela Petrovic-Dzerdz – Collected Essays on Learning and Teaching, 2024
Large introductory classes, with their expansive curriculum, demand assessment strategies that blend efficiency with reliability, prompting the consideration of multiple-choice (MC) tests as a viable option. Crafting a high-quality MC test, however, necessitates a meticulous process involving reflection on assessment format appropriateness, test…
Descriptors: Multiple Choice Tests, Test Construction, Test Items, Alignment (Education)
Aik Lim Tan; Robyn Gillies; Azilawati Jamaludin – Cambridge Journal of Education, 2024
Assessing student learning outcomes has been an integral and central component of schools and academic institutions, both as a measure of how well the school is performing and how well individual students are progressing. However, standardised tests might not be able to fully capture holistic aspects of learning such as self-regulatory…
Descriptors: Models, Taxonomy, Student Evaluation, Student Interests
Steven T. Kalinowski; Avital Pelakh – Journal of Research in Science Teaching, 2024
This article presents a simple, cognitive theory of science and learning. The first section of the paper develops the theory's two main propositions: (i) A wide range of scientific activities rely heavily on one type of reasoning, hypothetical thinking, and (ii) This type of reasoning is also useful to students for learning science content. The…
Descriptors: Epistemology, Science Education, Scientific Research, Taxonomy
Esty Saraswati Nur Hartiningrum; Subanji; I. Made Sulandra – Mathematics Teaching Research Journal, 2024
Students' experience errors in solving proportional problems and prospective teachers' experience were the same thing. Research that explained the wrong strategy for understanding proportional problems still needed to be completed. Objectives to describe the wrong strategies chosen by prospective teachers in solving proportional questions and the…
Descriptors: Preservice Teachers, Error Patterns, Mathematics Instruction, Teaching Methods
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
Akhrif, Ouidad; Benfaress, Chaymae; EL Jai, Mostapha; El Bouzekri El Idrissi, Youness; Hmina, Nabil – Interactive Technology and Smart Education, 2022
Purpose: The purpose of this paper is to reveal the smart collaborative learning service. This concept aims to build teams of learners based on the complementarity of their skills, allowing flexible participation and offering interdisciplinary collaboration opportunities for all the learners. The success of this environment is related to predict…
Descriptors: Artificial Intelligence, Cooperative Learning, Interdisciplinary Approach, Universities
Kilicoglu, Elif; Kaplan, Abdullah – Athens Journal of Education, 2022
In this study, it was investigated whether it would be possible to observe abstraction processes of secondary school 7th graders using the Revised Bloom's Taxonomy. For this purpose, eight students participated in the study. The study was conducted at a state secondary school in Turkey. Purposeful sampling method was used in the selection of…
Descriptors: Secondary School Students, Grade 7, Mathematics Skills, Abstract Reasoning

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