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Ya'nan, Wang; Zhiling, Tian; Jinghua, Wang – International Education Studies, 2023
Based on Jef Verschueren's Adaptation Theory, Lakoff's definition and Prince et al.'s classification of hedges, this paper takes New York Times and China Daily from January 23rd to April 8th, 2020 as corpus sources, randomly selects 39 COVID-19 reports, and makes a contrastive study of hedges among them, aiming at exploring the similarities and…
Descriptors: Contrastive Linguistics, Newspapers, Language Usage, COVID-19
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Sibel Er Nas; Havva Yaman – Malaysian Online Journal of Educational Technology, 2023
The aim of the study is to evaluate the educational games implementation process from the science teacher candidates, students and parents perspective. The special case method, which allows evaluating an event in depth, was preferred. The implementation process was completed in 14 weeks. The study group consists of 36 science teacher candidates,…
Descriptors: Educational Games, Preservice Teachers, Science Teachers, Science Education
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María de los Ángeles Domínguez-González; Carlos Hervás-Gómez; María Dolores Díaz-Noguera; Manuel Reina-Parrado – European Educational Researcher, 2023
Artificial intelligence (AI) is influencing various sectors of society, including the educational field. The use of AI can have great potential in education, however, it is necessary to know both its performance and its limitations. The main objective of this study is to analyze the prompts made by teachers in initial training in relation to the…
Descriptors: Artificial Intelligence, Diversity, Preservice Teachers, Preservice Teacher Education
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Dehua Zha; Dianzhi Liu – SAGE Open, 2023
This study investigated successful EFL (English as a Foreign Language) students' learning strategies in Chinese universities and explored the classification system of English learning strategies, to guide EFL students how to learn English. A total of 24 successful English majors and non-English majors in Chinese universities were interviewed about…
Descriptors: Foreign Countries, College Students, Second Language Learning, English (Second Language)
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Lijin Zhang; Xueyang Li; Zhiyong Zhang – Grantee Submission, 2023
The thriving developer community has a significant impact on the widespread use of R software. To better understand this community, we conducted a study analyzing all R packages available on CRAN. We identified the most popular topics of R packages by text mining the package descriptions. Additionally, using network centrality measures, we…
Descriptors: Computer Software, Programming Languages, Data Analysis, Visual Aids
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Ava Greenwood; Sara Davies; Timothy J. McIntyre – Australian Mathematics Education Journal, 2023
This article is motivated by the importance of developing statistically literate students. The authors present a selection of problems that could be used to motivate student interest in probability as well as providing additional depth to the curriculum when used alongside traditional resources. The solutions presented utilise natural frequencies…
Descriptors: Probability, Mathematics Instruction, Teaching Methods, Statistics Education
Alyousef, Munirah – ProQuest LLC, 2023
The purpose of this qualitative study was to investigate the perceptions of primary school teachers in public education schools towards eLearn Technology during the COVID-19 pandemic. The researcher relied on comprehensive and follow-up questions through the qualitative approach. The interviews were conducted by the researcher who relied on both…
Descriptors: Elementary School Teachers, COVID-19, Pandemics, Teacher Attitudes
Jason K. Reeves – ProQuest LLC, 2023
This quantitative correlational study investigated the potential impact of technostress on rural high school teacher burnout. The purpose of this study was to determine the possible correlations between the five techno-stressors that make up technostress and the burnout experienced by rural Arkansas high school teachers. The person-environment fit…
Descriptors: Correlation, Information Technology, Teacher Burnout, Stress Variables
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Steven J. Pentland; Christie M. Fuller; Lee A. Spitzley; Douglas P. Twitchell – International Journal of Social Research Methodology, 2023
The analysis of spoken language has been integral to a breadth of research in social science and beyond. However, for analyses to occur with efficiency, language must be in the form of computer-readable text. Historically, the speech-to-text process has occurred manually using human transcriptionists. Automated speech recognition (ASR) is…
Descriptors: Accuracy, Social Science Research, Classification, Reading Processes
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Laurejane B. Piano; Maria Elaine D. Tabilog; Camilla J. Vizconde – Journal on English Language Teaching, 2023
The emerging interest in self-directed learning (SDL) in the context of language learning has focused less on specific learning strategies selected by language learners based on their discoveries. Anchored on Boyatzis' Theory of Self directed Learning (2001) and Classifications of Language Learning Strategies by O'Mally and Chamot (1990), and…
Descriptors: Independent Study, English (Second Language), Second Language Learning, Second Language Instruction
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Danielle Daidone; Ryan Lidster; Franziska Kruger – Studies in Second Language Acquisition, 2023
Our study proposes the use of a free classification task for investigating the dimensions used by listeners in their perception of nonnative sounds and for predicting the perceptual discriminability of nonnative contrasts. In a free classification task, participants freely group auditory stimuli based on their perceived similarity. The results can…
Descriptors: Classification, Pronunciation, Second Language Learning, Task Analysis
McKinzy, Alicia Nunez – ProQuest LLC, 2023
The purpose of this study was to examine the relationship between role stress, school-related factors, and the general perceived self-efficacy of elementary school counselors. Specifically, this study was concerned with the predictability of role stress factors (role ambiguity and role conflict) and school-related factors (school classification…
Descriptors: Elementary Schools, School Counselors, Self Efficacy, Self Concept
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Alida Hudson; Laura L. Bailet; Shayne B. Piasta; Jessica A. R. Logan; Kandia Lewis; Cynthia M. Zettler-Greeley – Grantee Submission, 2023
Preschool children considered at risk for future reading difficulties experience unique and complex combinations of risk factors. In this exploratory study, we used latent profile analysis (LPA) to investigate the underlying classifications of children identified as at-risk for reading difficulties (N = 281) along selected cognitive,…
Descriptors: Small Group Instruction, Literacy Education, Reading Instruction, Emergent Literacy
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Garrido, Margarida V.; Prada, Marília; Simão, Cláudia; Semin, Gün R. – Cognitive Science, 2019
In two experiments, we examined the impact of color on cognitive performance by asking participants to categorize stimuli presented in three different colors: red, green, and gray (baseline). Participants were either asked to categorize the meaning of words as related to the concepts of "go" or "stop" (Experiment 1) or to…
Descriptors: Color, Language Processing, Semantics, Classification
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Nájera, Pablo; Sorrel, Miguel A.; Abad, Francisco José – Educational and Psychological Measurement, 2019
Cognitive diagnosis models (CDMs) are latent class multidimensional statistical models that help classify people accurately by using a set of discrete latent variables, commonly referred to as attributes. These models require a Q-matrix that indicates the attributes involved in each item. A potential problem is that the Q-matrix construction…
Descriptors: Matrices, Statistical Analysis, Models, Classification
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