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Maggie A. Mosher; Lisa A. Dieker; Rebecca Hines – Journal of Special Education Preparation, 2024
The use of artificial intelligence (AI) is not a new concept. Still, the press, the worry, and the hype around the potential benefits and limitations of the explosion of these tools in this field is a current topic in teacher education. In this article, the authors summarize the past use of AI, present easily adaptable tools in teacher education,…
Descriptors: Teacher Education Programs, Futures (of Society), Artificial Intelligence, Computer Software
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Chen-Chung Liu; Wan-Jun Chen; Fang-ying Lo; Chia-Hui Chang; Hung-Ming Lin – Journal of Educational Computing Research, 2024
Reading requires appropriate strategies to spark initial interest and sustain engagement. One promising strategy is the pedagogical approach of learning-by-teaching, transforming learners into active participants. Integrating this approach into digitalized and individualized reading contexts has the potential to foster the development of young…
Descriptors: Reading Interests, Active Learning, Intelligent Tutoring Systems, Artificial Intelligence
Sanjana Gautam – ProQuest LLC, 2024
Adaptive learning systems aim to emulate how skilled educators provide every student with the best possible learning experience. We investigate how these systems might be enriched by incorporating activities and indicators of social learning, which focus on the influences of learners' social context and interactions. This doctoral research aims to…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Computer Software, Rating Scales
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Arifi Waked; Muhammad W. Ashraf; Hanadi AbdelSalam; Khadija El Alaoui; Maura Pilotti – International Society for Technology, Education, and Science, 2024
Questions exist as to whether AI tools, such as ChatGPT, can aid learning. This study examined whether in-class exercises involving error detection in text generated by ChatGPT can aid students' foreign language writing. Participants were Arabic-English speakers who were classified as ranging from modest to competent English users according to…
Descriptors: Artificial Intelligence, Computer Software, Second Language Learning, Second Language Instruction
Ho Pham Xuan Phuong – Online Submission, 2024
In the realm of AI-driven education, it is pivotal to evaluate the viability of ChatGPT as a substitute for human teachers in English classrooms. This study aims to explore learners' behaviors, perceptions, and attitudes to ChatGPT usage in English language learning. Participants were 120 I.T. students in Vietnam -- the Korea University of…
Descriptors: Artificial Intelligence, English (Second Language), Second Language Learning, Second Language Instruction
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Watson-Huggins, Janice – Distance Learning, 2018
This article provides empirical data from a study on the effects of the implementation of a gaming system as an experiment and also provides recommendations on how such a system could be implemented in the general Jamaican school system. While there are numerous studies that investigate the impact of gamification in higher education and high…
Descriptors: Game Based Learning, Mathematics Achievement, Foreign Countries, Grade 6
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Kovács, Zoltán; Recio, Tomás; Vélez, M. Pilar – International Journal for Technology in Mathematics Education, 2018
This document introduces, describes and exemplifies the technical features of some recently implemented automated reasoning tools in the dynamic mathematics software GeoGebra. The new tools are based on symbolic computation algorithms, allowing the automatic and rigorous proving and discovery of theorems on constructed geometric figures. Some…
Descriptors: Geometry, Mathematics Instruction, Teaching Methods, Comparative Analysis
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Ingleby, Ewan – Professional Development in Education, 2018
This article explores the perceptions of professional development held by a selection of early years educators who have experience of working in statutory and private early years settings in the north of England. The research participants (n = 20) reflected on their experiences of professional development in early years. The research process is…
Descriptors: Preschool Teachers, Faculty Development, Foreign Countries, Qualitative Research
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Thomas, Frederick J.; Chaney, Robert A.; Gruesbeck, Marta – Physics Teacher, 2018
Probeware (sensors combined with data-analysis software) is a well-established part of physics education. In engineering and technology, sensors are frequently paired with actuators--motors, heaters, buzzers, valves, color displays, medical dosing systems, and other devices that are activated by electrical signals to produce intentional physical…
Descriptors: Physics, Science Instruction, Mathematics, STEM Education
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Scholtz, Brenda; Calitz, Andre; Haupt, Ross – International Journal of Sustainability in Higher Education, 2018
Purpose: Higher education institutions (HEIs) face a number of challenges in effectively managing and reporting on sustainability information, such as siloes of data and a limited distribution of information. Business intelligence (BI) can assist in addressing the challenges faced by organisations. The purpose of this study was to propose a BI…
Descriptors: Business, Intelligence, Higher Education, Information Management
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Waldron, Rob – Education Next, 2018
Companies have developed a dizzying array of new software tools designed to do everything from assessing and monitoring students' progress to supporting a blended-learning environment to supplying entire curricula, complete with online activities and homework assignments. Educators seem to have developed a taste for these new digital tools,…
Descriptors: School Districts, Vendors, Educational Technology, Expenditures
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Segal, Ruti; Stupel, Moshe; Sigler, Avi; Jahangiril, Jay – International Journal of Mathematical Education in Science and Technology, 2018
In this paper we present the results of a study which was carried out in an inquiry-based teaching and learning environment with the use of 'what if not' methodology coupled with the integration of dynamic geometry software. The vast majority of the students reported that they perceived themselves as participants rather than spectators. Most of…
Descriptors: Inquiry, Active Learning, Geometry, Computer Software
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Tazegül, Ünsal; Güven, Özbay – Universal Journal of Educational Research, 2018
This study aims to the comparison of body image satisfaction levels of athletes in individual and team sports. The sample of the study was selected by 34 athletes engaged in athletics, 52 athletes engaged in boxing, 45 athletes engaged in wrestling, 37 athletes engaged in weightlifting, 36 athletes engaged in handball, 35 athletes engaged in…
Descriptors: Human Body, Measures (Individuals), Computer Software, Statistical Analysis
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Hancock, Gregory R.; An, Ji – Educational Measurement: Issues and Practice, 2018
In this ITEMS module, we frame the topic of scale reliability within a "confirmatory factor analysis" and "structural equation modeling" (SEM) context and address some of the limitations of Cronbach's a. This modeling approach has two major advantages: (1) it allows researchers to make explicit the relation between their items…
Descriptors: Reliability, Structural Equation Models, Factor Analysis, Correlation
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Leventhal, Brian C.; Stone, Clement A. – Measurement: Interdisciplinary Research and Perspectives, 2018
Interest in Bayesian analysis of item response theory (IRT) models has grown tremendously due to the appeal of the paradigm among psychometricians, advantages of these methods when analyzing complex models, and availability of general-purpose software. Possible models include models which reflect multidimensionality due to designed test structure,…
Descriptors: Bayesian Statistics, Item Response Theory, Models, Psychometrics
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