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Kolog, Emmanuel Awuni; Devine, Samuel Nii Odoi; Ansong-Gyimah, Kwame; Agjei, Richard Osei – Education and Information Technologies, 2019
Learners' adaptation to academic trajectory is shaped by several influencing factors that ought to be considered while attempting to design an intervention towards improving academic performance. Emotion is one factor that influences students' academic orientation and performance. Tracking emotions in text by psychologists have long been a subject…
Descriptors: Psychological Patterns, Artificial Intelligence, Identification, Classification
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Murphy, Tony – Tertiary Education and Management, 2019
This literature review proposes a mechanism for assessing the extent to which the processes involved in developing blended learning courses are managed. A review of the literature on the development of blended learning courses reveals a wide disparity in how these processes are managed. Emerging from the review is a set of criteria that constitute…
Descriptors: Blended Learning, Case Studies, Classification, Comparative Analysis
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Al-Khaza'leh, Mohammad Salman; Al-Hourani, Mohammad Issa; Al-Khaza'leh, Bilal Ayed – Educational Research and Reviews, 2019
The study aimed at analyzing the educational bulletin presented to the teachers of the basic stage and the Jordanian Ministry of Education and the future model extracted from it. The study addressed bulletins issued before 2018. A classification of nine key areas was used in the analysis of the content. Results showed that the educational content…
Descriptors: Foreign Countries, Publications, Compulsory Education, Teachers
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Andrews, David; Hooley, Tristram – British Journal of Guidance & Counselling, 2019
Historically, responsibility for career education and guidance in English schools was shared between the school and an external careers service. The Education Act 2011 transferred responsibility for career guidance to schools and has created a need for the new role of a 'careers leader'. In this article, we report on research in 27 English state…
Descriptors: Foreign Countries, Career Guidance, Secondary Schools, Career Education
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Jaki, Thomas; Kim, Minjung; Lamont, Andrea; George, Melissa; Chang, Chi; Feaster, Daniel; Van Horn, M. Lee – Educational and Psychological Measurement, 2019
Regression mixture models are a statistical approach used for estimating heterogeneity in effects. This study investigates the impact of sample size on regression mixture's ability to produce "stable" results. Monte Carlo simulations and analysis of resamples from an application data set were used to illustrate the types of problems that…
Descriptors: Sample Size, Computation, Regression (Statistics), Reliability
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Kooken, Janice; McCoach, D. Betsy; Chafouleas, Sandra M. – Journal of Experimental Education, 2019
Current practices for growth mixture modeling emphasize the importance of the proper parameterization and number of classes, but the impact of these decisions on latent class composition and the substantive implications has not been thoroughly addressed. Using measures of behavior from 575 middle school students, we compared the results of several…
Descriptors: Statistical Analysis, Middle School Students, Hierarchical Linear Modeling, Student Behavior
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LaTourrette, Alexander; Waxman, Sandra R. – Developmental Science, 2019
There is considerable evidence that labeling supports infants' object categorization. Yet in daily life, most of the category exemplars that infants encounter will remain unlabeled. Inspired by recent evidence from machine learning, we propose that infants successfully exploit this sparsely labeled input through "semi-supervised…
Descriptors: Naming, Classification, Identification, Infants
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Harrak, Fatima; Bouchet, François; Luengo, Vanda – International Educational Data Mining Society, 2019
Students' questions categorization is a challenging task as the available corpora are often limited in size (particularly with languages other than English) and require a costly preliminary manual annotation to train the classifiers. Ensemble learning can help improve machine learning results by combining several models, and is particularly…
Descriptors: Classification, Questioning Techniques, Artificial Intelligence, Documentation
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Zingle, Gabriel; Radhakrishnan, Balaji; Xiao, Yunkai; Gehringer, Edward; Xiao, Zhongcan; Pramudianto, Ferry; Khurana, Gauraang; Arnav, Ayush – International Educational Data Mining Society, 2019
Peer assessment has proven to be a useful strategy for increasing the timeliness and quantity of formative feedback, as well as for promoting metacognitive thinking among students. Previous research has determined that reviews that contain suggestions can motivate students to revise and improve their work. This paper describes a method for…
Descriptors: Peer Evaluation, Formative Evaluation, Evaluation Methods, Classification
Crossley, Scott A.; Kim, Minkyung; Allen, Laura K.; McNamara, Danielle S. – Grantee Submission, 2019
Summarization is an effective strategy to promote and enhance learning and deep comprehension of texts. However, summarization is seldom implemented by teachers in classrooms because the manual evaluation of students' summaries requires time and effort. This problem has led to the development of automated models of summarization quality. However,…
Descriptors: Automation, Writing Evaluation, Natural Language Processing, Artificial Intelligence
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Catherine Bovill – International Journal for Students as Partners, 2019
In higher education discourse, reference to co-creation, partnership, and student engagement (to name but a few of the commonly used terms), covers a very wide range of different research and practice. This variety can often be confusing. In response, I present a co-creation of learning and teaching typology, which is a practical resource intended…
Descriptors: Classification, Cooperation, Higher Education, Teacher Student Relationship
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Easlick, Kathleen – Language Policy, 2023
This paper examines the role of language policy and needs assessments in the provision of public services to regional minority and immigrant language speakers in the UK and Finland. Semi-structured interviews with service providers in Helsinki, Rovaniemi, Manchester, and Cardiff revealed how language policy and language needs are conceptualised…
Descriptors: Language Planning, Public Policy, Foreign Countries, Needs Assessment
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Wang, Yu; Chiu, Chia-Yi; Köhn, Hans Friedrich – Journal of Educational and Behavioral Statistics, 2023
The multiple-choice (MC) item format has been widely used in educational assessments across diverse content domains. MC items purportedly allow for collecting richer diagnostic information. The effectiveness and economy of administering MC items may have further contributed to their popularity not just in educational assessment. The MC item format…
Descriptors: Multiple Choice Tests, Nonparametric Statistics, Test Format, Educational Assessment
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Cornett, Marian; Palermo, Claire; Ash, Susan – Advances in Health Sciences Education, 2023
Professional identity impacts the workforce at personal, interpersonal and profession levels however there is a lack of reviews of professional identity research across practising health professionals. To summarise professional identity research in the health professions literature and explore how professional identity is described a scoping…
Descriptors: Professional Identity, Health Personnel, Databases, Research Reports
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Çelik, Cemal; Kartal, Hülya – International Online Journal of Primary Education, 2023
The aim of this study is to investigate the causes of reading problems experienced by third-grade students because of the instructional malpractices in education and develop a modeling with artificial neural networks. It was carried out according to the exploratory sequential model and consisted of two stages. In the qualitative part, a data pool…
Descriptors: Reading Difficulties, Models, Elementary School Students, Artificial Intelligence
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