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Parks, Louisa; Peters, Wim – International Journal of Social Research Methodology, 2023
The ever-increasing application of Digital Humanities techniques to social scientific research questions calls for continuous reflection on how they can contribute to scholarly research in combination with other more common text analysis methods. This article explores the various dimensions along which scholarly text analysis can be performed,…
Descriptors: Natural Language Processing, Humanities, Social Science Research, Content Analysis
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Pasta, Stefano – Research on Education and Media, 2023
Hate speech may be the research focus of the interdisciplinary field of hate studies, but it is also a difficult phenomenon to define. Internationally, there are several detection studies on automatically detecting hate speech. They can be grouped according to two approaches: the first includes searching using only machine learning methods, while…
Descriptors: Social Bias, Antisocial Behavior, Social Media, Migrants
Davidson, Jason L. – ProQuest LLC, 2023
Student enrollment in online courses has nearly tripled over the last decade, with 72% of college students participating in at least one online course. There are many advantages to online education such as increased classroom diversity, the reduction of geographical limitations, and overall convenience. However, studies have shown students…
Descriptors: Automation, Online Courses, Nonverbal Communication, Learner Engagement
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Barczak, Andre L. C.; Mathrani, Anuradha; Han, Binglan; Reyes, Napoleon H. – Educational Technology Research and Development, 2023
An important course in the computer science discipline is 'Data Structures and Algorithms' (DSA). "The coursework" lays emphasis on experiential learning for building students' programming and algorithmic reasoning abilities. Teachers set up a repertoire of formative programming exercises to engage students with different programmatic…
Descriptors: Computer Assisted Testing, Automation, Computer Science Education, Programming
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Falcão, Filipe; Pereira, Daniela Marques; Gonçalves, Nuno; De Champlain, Andre; Costa, Patrício; Pêgo, José Miguel – Advances in Health Sciences Education, 2023
Automatic Item Generation (AIG) refers to the process of using cognitive models to generate test items using computer modules. It is a new but rapidly evolving research area where cognitive and psychometric theory are combined into digital framework. However, assessment of the item quality, usability and validity of AIG relative to traditional…
Descriptors: Computer Assisted Testing, Test Construction, Test Items, Automation
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Avsar, Asiye Sengül – Participatory Educational Research, 2022
It is necessary to supply proof regarding the construct validity of the scales. Especially, when new scales are developed the construct validity is researched by the Exploratory Factor Analysis (EFA). Generally, factor extraction is performed via the Principal Component Analysis (PCA) which is not exactly factor analysis and the Principal Axis…
Descriptors: Factor Analysis, Automation, Construct Validity, Item Response Theory
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Han, Chao – Language Testing, 2022
Over the past decade, testing and assessing spoken-language interpreting has garnered an increasing amount of attention from stakeholders in interpreter education, professional certification, and interpreting research. This is because in these fields assessment results provide a critical evidential basis for high-stakes decisions, such as the…
Descriptors: Translation, Language Tests, Testing, Evaluation Methods
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Ryoo, Ji Hoon; Park, Sunhee; Suh, Hongwook; Choi, Jaehwa; Kwon, Jongkyum – SAGE Open, 2022
In the development of cognitive science understanding human intelligence and mind, measurement of cognitive ability has played a key role. To address the development in data scientific point of views related to cognitive neuroscience, there has been a demand of creating a measurement to capture cognition in short and repeated time periods. This…
Descriptors: Cognitive Ability, Psychometrics, Test Validity, Test Construction
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Baidada, Mohammed – International Journal of Web-Based Learning and Teaching Technologies, 2022
In education, the needs of learners are different in the majority of the time, as each has specificities in terms of preferences, performance and goals. Recommendation systems have proven to be an effective way to ensure this learning personalization. Already used and tested in other areas such as e-commerce, their adaptation to the educational…
Descriptors: Foreign Countries, Higher Education, Automation, Online Systems
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Albreiki, Balqis – International Journal of Educational Technology in Higher Education, 2022
Higher education institutions often struggle with increased dropout rates, academic underachievement, and delayed graduations. One way in which these challenges can potentially be addressed is by better leveraging the student data stored in institutional databases and online learning platforms to predict students' academic performance early using…
Descriptors: Automation, Remedial Instruction, At Risk Students, College Students
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Hrubik, Jessica; Morgan, Denise N. – Middle Grades Research Journal, 2022
Providing timely and helpful writing feedback for student writers, especially those at the middle and high school level, can present an unwieldy challenge for teachers. Yet, feedback is necessary for students' growth as writers. There is an increased interest and use of automatic writing programs to provide students with writing feedback. However,…
Descriptors: Automation, Essays, Scores, Feedback (Response)
Robert-Mihai Botarleanu; Mihai Dascalu; Scott Andrew Crossley; Danielle S. McNamara – Grantee Submission, 2022
The ability to express yourself concisely and coherently is a crucial skill, both for academic purposes and professional careers. An important aspect to consider in writing is an adequate segmentation of ideas, which in turn requires a proper understanding of where to place paragraph breaks. However, these decisions are often performed…
Descriptors: Paragraph Composition, Text Structure, Automation, Identification
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Stephen Sowa; Julie Smith; Andrew Manches – International Journal for Educational and Vocational Guidance, 2024
To explore the differential impact of job automation for different groups of primary and secondary school students, an analysis of variance was conducted using survey data on the occupational aspirations of British school students (aged 7-18) and probability statistics derived from a model of job automation. Results indicated that students aged…
Descriptors: Secondary School Students, Career Choice, Occupational Aspiration, Probability
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Nesrine Mansouri; Mourad Abed; Makram Soui – Education and Information Technologies, 2024
Selecting undergraduate majors or specializations is a crucial decision for students since it considerably impacts their educational and career paths. Moreover, their decisions should match their academic background, interests, and goals to pursue their passions and discover various career paths with motivation. However, such a decision remains…
Descriptors: Undergraduate Students, Decision Making, Majors (Students), Specialization
Bartolome Jose Bazan Rios – ProQuest LLC, 2024
According to cognitive psychologists, consistent practice (i.e., tasks with a high degree of similarity) of a skill leads to the development of automaticity, with the degree of automatization being increased if the practice also involves exact repetition. Practice is skill specific, meaning that practicing one skill does not automatize related…
Descriptors: Short Term Memory, Executive Function, Listening Skills, Second Language Learning
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