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MacGregor, Elizabeth H. – Philosophy of Music Education Review, 2022
Despite a growing body of advocacy for the beneficial effects of music education upon individuals' development and wellbeing, lived experiences in the music classroom are testament to a diversity of both positive and negative musical encounters. For some pupils, classroom music-making is characterized by opportunities, achievements, and…
Descriptors: Music Education, At Risk Students, Well Being, Language Usage
Bedore, Lisa M.; Peña, Elizabeth D.; Collins, Penelope; Fiestas, Christine; Lugo-Neris, Mirza; Barquin, Elisa – Child Language Teaching and Therapy, 2023
Purpose: There are well-established links between oral language and reading development in monolingual English-speaking children that are associated with literacy outcomes. Oral language, defined relative to lexical quality, provides key support for developing early reading skills. For bilingual children, the connection between oral language and…
Descriptors: Elementary School Students, Grade 1, Bilingual Students, Literacy
Castillo-Zúñiga, Iván; Luna-Rosas, Francisco-Javier; López-Veyna, Jaime-Iván – Comunicar: Media Education Research Journal, 2022
This article presents an Internet data analysis model based on Web Mining with the aim to find knowledge about large amounts of data in cyberspace. To test the proposed method, suicide web pages were analyzed as a study case to identify and detect traits in students with suicidal tendencies. The procedure considers a Web Scraper to locate and…
Descriptors: Psychological Patterns, Suicide, Web Sites, Student Characteristics
Li, Jiawei; Supraja, S.; Qiu, Wei; Khong, Andy W. H. – International Educational Data Mining Society, 2022
Academic grades in assessments are predicted to determine if a student is at risk of failing a course. Sequential models or graph neural networks that have been employed for grade prediction do not consider relationships between course descriptions. We propose the use of text mining to extract semantic, syntactic, and frequency-based features from…
Descriptors: Course Descriptions, Learning Analytics, Academic Achievement, Prediction
Hlioui, Fedia; Aloui, Nadia; Gargouri, Faiez – International Journal of Web-Based Learning and Teaching Technologies, 2021
Nowadays, the virtual learning environment has become an ideal tool for professional self-development and bringing courses for various learner audiences across the world. There is currently an increasing interest in researching the topic of learner dropout and low completion in distance learning, with one of the main concerns being elevated rates…
Descriptors: At Risk Students, Withdrawal (Education), Dropouts, Distance Education