2014
DOI: 10.9743/jeo.2014.3.2
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Self-Regulated Learning Skills and Online Activities Between Higher and Lower Performers on a Web Intensive Undergraduate Engineering Course

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Cited by 29 publications
(18 citation statements)
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“…Instructors can also manifest a cognitive presence as they enable students to critically and accurately reflect upon their own learning strategies. When students are actively engaged in course-specific material, they are primed for instructor-led training that increases their awareness of their own aptitude to learn [33]. Students with low self-regulated learning (SRL) have a tendency to over-rate their own learning skills, which often leads to lack of success in courses when students do not feel they needed to access information as often, or do not use course materials to the extent for which they were designed [33].…”
Section: Modelling Reflective Personal Reflection and Networkingmentioning
confidence: 99%
“…Instructors can also manifest a cognitive presence as they enable students to critically and accurately reflect upon their own learning strategies. When students are actively engaged in course-specific material, they are primed for instructor-led training that increases their awareness of their own aptitude to learn [33]. Students with low self-regulated learning (SRL) have a tendency to over-rate their own learning skills, which often leads to lack of success in courses when students do not feel they needed to access information as often, or do not use course materials to the extent for which they were designed [33].…”
Section: Modelling Reflective Personal Reflection and Networkingmentioning
confidence: 99%
“…Outras duas técnicas que foram utilizadas, foram a classificação e a análise de agrupamento, ambas com dois trabalhos encontrados na literatura. Os trabalhos de classificação (Bondareva, et al, 2013), (Sabourin, Mott, & Lester, 2012) tiveram como foco o comparativo de múltiplos algoritmos de classificação de dados provindos de sistemas de tutores inteligentes e os trabalhos de análise de agrupamento (Lawanto, Santoso, Lawanto, & Goodridge, 2014), (Colthorpe, Zimbardi, Ainscough, & Anderson, 2015) tiveram o objetivo de identificar padrões ou perfis comportamentais de autorregulação.…”
Section: Terceira Questão De Pesquisaunclassified
“…Além desses, outros trabalhos utilizaram abordagens baseada em Mineração de Dados Educacionais, nos quais utilizam técnicas como Mineração de Processos (Schoor & Bannert, 2012), (Sonnenberg & Bannert, 2015), Análise de agrupamento (Lawanto, Santoso, Lawanto, & Goodridge, 2014), (Colthorpe, Zimbardi, Ainscough, & Anderson, 2015) e Algoritmos de Classificação (Bondareva, et al, 2013), (Sabourin, Mott, & Lester, 2012 Figura 5: Área de pesquisa declarada na análise dos dados.…”
Section: Quarta Questão De Pesquisaunclassified
“…Students who spend more time using the course management system, students who reported that they used more interactive functions and perceived them useful learning tool did have better grades in online discussion, exams and group projects (Wei, Peng, & Chou, 2015). A similar study concluded that high performers accessed all course materials significantly more often than their lower performing peers and they were more prompt in submitting their work on time (Lawanto, Santoso, Lawanto, & Goodridge, 2014). Regularity or irregularity of log-in intervals is shown as a good predictive of learning performance (Il-Hyun, Dongho, & Meehyun, 2015).…”
Section: Different Online Strategies For Engineering Technology Educamentioning
confidence: 69%