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Singer, Gonen; Golan, Maya; Rabin, Neta; Kleper, Dvir – European Journal of Engineering Education, 2020
The purpose of this study is to evaluate how learning disabilities (LDs), in combination with accommodations, affect the performance of a decision-tree to predict the stability of academic behaviour of undergraduate engineering students. Additionally, this study presents several examples to illustrate how a college could use the resultant model to…
Descriptors: Learning Disabilities, Academic Accommodations (Disabilities), Undergraduate Students, Engineering Education
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Kang, Minchul; Lee, Juyoung; Lee, A-Ra – Asia Pacific Education Review, 2020
This study identified the subgroups (latent classes) of Korean college students according to the influence of perfectionism on career stress and indecision, and explored the effects of sub-factors of perfectionism on career stress and indecision for each subgroup. Also, the study examined how individual self-esteem and stress coping styles affect…
Descriptors: College Students, Stress Variables, Coping, Personality Traits
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Mulholland, Mary-Lee – Journal of College and Character, 2020
With the perceived increase in plagiarism in post-secondary institutions, there has been a simultaneous increase in research and analysis on the issue emerging from multiple fields including education, humanities, social science, business and management, sciences, and the media. The focus of this research ranges from the frequency of cases,…
Descriptors: Plagiarism, Ethics, Moral Issues, Educational Policy
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Shi, Meijia; Tan, Cheng Yong – New Zealand Journal of Educational Studies, 2020
Classroom discussions represent a common learning activity for students in schools. The prevailing discourse has focused on how to encourage as many students as possible to participate actively in classroom discussions with the assumption that only vocal students are engaged learners. The present essay critically challenges this position by…
Descriptors: Learner Engagement, Classroom Communication, Classification, Inclusion
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Tajri, Yacine; Saint-Martin, Jean; Froissart, Tony – Paedagogica Historica: International Journal of the History of Education, 2020
This article explores a specific physical rehabilitation in French schooling after the Second World War. To this end, it analyses how, in concepts and as the result of data-derived information, pupils considered as "weak" physically speaking were taken care of by the school and especially how the actors of the physical education (PE)…
Descriptors: Physical Education, Students with Disabilities, Educational History, Rehabilitation
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Puig-Mayenco, Eloi; González Alonso, Jorge; Rothman, Jason – Second Language Research, 2020
The present systematic review examines what factors determine when, how and to what extent previous linguistic experience (from the first language, second language or both languages) affects the initial stages and beyond of adult third language (L3) acquisition. In doing so, we address what a bird's eye view of the data tells us regarding…
Descriptors: Multilingualism, Prior Learning, Native Language, Adults
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Ravand, Hamdollah; Baghaei, Purya – International Journal of Testing, 2020
More than three decades after their introduction, diagnostic classification models (DCM) do not seem to have been implemented in educational systems for the purposes they were devised. Most DCM research is either methodological for model development and refinement or retrofitting to existing nondiagnostic tests and, in the latter case, basically…
Descriptors: Classification, Models, Diagnostic Tests, Test Construction
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Wu, Jiun-Yu; Hsiao, Yi-Cheng; Nian, Mei-Wen – Interactive Learning Environments, 2020
This paper demonstrated the use of the supervised Machine Learning (ML) for text classification to predict students' final course grades in a hybrid Advanced Statistics course and exhibited the potential of using ML classified messages to identify students at risk of course failure. We built three classification models with training data of 76,936…
Descriptors: Social Media, Discussion Groups, Artificial Intelligence, Classification
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Solomont, E. B. – Education Next, 2020
There's considerable public debate about charter schools and students with specialized needs, focused mainly on the extent to which charters enroll students who are classified to receive special-education services. A new study by Elizabeth Setren of Tufts University shows that critics, who often charge that charters do not serve as many…
Descriptors: Inclusion, Charter Schools, Special Needs Students, Students with Disabilities
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Huang, Anna Y. Q.; Lu, Owen H. T.; Huang, Jeff C. H.; Yin, C. J.; Yang, Stephen J. H. – Interactive Learning Environments, 2020
In order to enhance the experience of learning, many educators applied learning analytics in a classroom, the major principle of learning analytics is targeting at-risk student and given timely intervention according to the results of student behavior analysis. However, when researchers applied machine learning to train a risk identifying model,…
Descriptors: Academic Achievement, Data Use, Learning Analytics, Classification
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Moustgaard, Helene; Jones, Hayley E.; Savovic, Jelena; Clayton, Gemma L.; Sterne, Jonathan AC; Higgins, Julian PT; Hróbjartsson, Asbjørn – Research Synthesis Methods, 2020
Randomized clinical trials underpin evidence-based clinical practice, but flaws in their conduct may lead to biased estimates of intervention effects and hence invalid treatment recommendations. The main approach to the empirical study of bias is to collate a number of meta-analyses and, within each, compare the results of trials with and without…
Descriptors: Epidemiology, Evidence, Medical Research, Intervention
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Danciulescu, Theodora Ioana; Mihaescu, Marian Cristian; Heras, Stella; Palanca, Javier; Julian, Vicente – International Educational Data Mining Society, 2020
Building and especially improving a classification kernel represents a challenging task. The works presented in this paper continue an already developed semi-supervised classification approach that aimed at labelling transcripts from educational videos. We questioned whether the size of the ground-truth data-set (Wikipedia articles) or the quality…
Descriptors: Data Analysis, Classification, Information Retrieval, Video Technology
APPA: Association of Higher Education Facilities Officers, 2020
This paper features an expanded Web-based "Facilities Performance Indicators (FPI) Report." The purpose of APPA: Association of Higher Education Facilities Officers (APPA's) Facilities Performance Indicators is to provide a representative set of statistics about facilities in educational institutions. The goal for this year was to…
Descriptors: Educational Facilities, Data Interpretation, Classification, Regional Characteristics
Wilson, Joshua; Rodrigues, Jessica – Grantee Submission, 2020
The present study leveraged advances in automated essay scoring (AES) technology to explore a proof of concept for a writing screener using the "Project Essay Grade" (PEG) program. First, the study investigated the extent to which an AES-scored multi-prompt writing screener accurately classified students as at risk of failing a Common…
Descriptors: Writing Tests, Screening Tests, Classification, Accuracy
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Esther Doecke – Compare: A Journal of Comparative and International Education, 2025
Families are active agents in school systems and apply different strategies of educational advantage to help their children succeed at school. These strategies are planned and enacted by families with their children in mind, but they are always a response to the broader education system design. This article explores how through their strategies…
Descriptors: Foreign Countries, Cross Cultural Studies, Academic Achievement, Classification
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