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Showing 1 to 15 of 22 results Save | Export
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van den Beemt, Antoine; Buys, Joos; van der Aalst, Wil – International Review of Research in Open and Distributed Learning, 2018
The increasing use of digital systems to support learning leads to a growth in data regarding both learning processes and related contexts. Learning Analytics offers critical insights from these data, through an innovative combination of tools and techniques. In this paper, we explore students' activities in a MOOC from the perspective of personal…
Descriptors: Online Courses, Student Behavior, Behavior Patterns, Academic Achievement
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Rawat, Bhupesh; Dwivedi, Sanjay K. – International Journal of Information and Communication Technology Education, 2019
With the emergence of the web, traditional learning has changed significantly. Hence, a huge number of 'e-learning systems' with the advantages of time and space have been created. Currently, many e-learning systems are being used by a large number of academic institutions worldwide which allow different users of the system to perform various…
Descriptors: Electronic Learning, Student Characteristics, Learning Processes, Management Systems
Agnihotri, Lalitha; Aghababyan, Ani; Mojarad, Shirin; Riedesel, Mark; Essa, Alfred – International Educational Data Mining Society, 2015
Student login data is a key resource for gaining insight into their learning experience. However, the scale and the complexity of this data necessitate a thorough exploration to identify potential actionable insights, thus rendering it less valuable compared to student achievement data. To compensate for the underestimation of login data…
Descriptors: Data Analysis, Web Based Instruction, Student Behavior, Correlation
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Gaševic, Dragan; Jovanovic, Jelena; Pardo, Abelardo; Dawson, Shane – Journal of Learning Analytics, 2017
The use of analytic methods for extracting learning strategies from trace data has attracted considerable attention in the literature. However, there is a paucity of research examining any association between learning strategies extracted from trace data and responses to well-established self-report instruments and performance scores. This paper…
Descriptors: Foreign Countries, Undergraduate Students, Engineering Education, Educational Research
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Saarela, Mirka; Karkkainen, Tommi – Journal of Educational Data Mining, 2015
Curricula for Computer Science (CS) degrees are characterized by the strong occupational orientation of the discipline. In the BSc degree structure, with clearly separate CS core studies, the learning skills for these and other required courses may vary a lot, which is shown in students' overall performance. To analyze this situation, we apply…
Descriptors: Data Analysis, Academic Achievement, Undergraduate Students, Core Curriculum
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Tempelaar, Dirk T.; Rienties, Bart; Nguyen, Quan – IEEE Transactions on Learning Technologies, 2017
Studies in the field of learning analytics (LA) have shown students' demographics and learning management system (LMS) data to be effective identifiers of "at risk" performance. However, insights generated by these predictive models may not be suitable for pedagogically informed interventions due to the inability to explain why students…
Descriptors: Student Behavior, Integrated Learning Systems, Personality, Educational Research
Crossley, Scott; McNamara, Danielle S.; Baker, Ryan; Wang, Yuan; Paquette, Luc; Barnes, Tiffany; Bergner, Yoav – International Educational Data Mining Society, 2015
Completion rates for massive open online classes (MOOCs) are notoriously low, but learner intent is an important factor. By studying students who drop out despite their intent to complete the MOOC, it may be possible to develop interventions to improve retention and learning outcomes. Previous research into predicting MOOC completion has focused…
Descriptors: Online Courses, Large Group Instruction, Information Retrieval, Data Analysis
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Ellis, Robert A.; Han, Feifei; Pardo, Abelardo – Educational Technology & Society, 2017
The field of education technology is embracing a use of learning analytics to improve student experiences of learning. Along with exponential growth in this area is an increasing concern of the interpretability of the analytics from the student experience and what they can tell us about learning. This study offers a way to address some of the…
Descriptors: Academic Achievement, Data Analysis, Outcomes of Education, Observation
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Supriadi, Eddi; Yusof, Hj. Abdul Raheem Bin Mohamad – Journal of Education and Learning, 2015
The study aimed to investigate the relationship between the instructional leadership of the headmaster and the work discipline of teachers and the work motivation and the academic achievement of primary school students from Special Province of Central Jakarta. The research method will be done with quantitative research methods. The study uses data…
Descriptors: Foreign Countries, Instructional Leadership, Principals, Teacher Motivation
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Servoss, Timothy J.; Finn, Jeremy D. – Leadership and Policy in Schools, 2014
This study utilized school-level data from several combined national databases to address two questions regarding school security policy: (1) What are the school characteristics related to levels of security? (2) How does security relate to school suspension, dropout, and college attendance rates? Among the predictors of school security, having a…
Descriptors: School Security, School Policy, Institutional Characteristics, College Attendance
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Silverman, Robert Mark – Urban Education, 2013
This article compares charter schools and other public schools in New York State. School Report Card (SRC) data measuring student, teacher, and school characteristics from the state's 16 urban school districts with charter schools were examined. Descriptive and multivariate analysis was used. The findings suggest that there are more similarities…
Descriptors: Academic Achievement, Report Cards, Charter Schools, Multivariate Analysis
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Telli, Sibel – Teachers and Teaching: Theory and Practice, 2016
Many researchers have pointed out that teachers' interpersonal behaviour relates to students' positive attitudes towards schooling. However, only few studies have examined whether students' perceptions of their teachers' interpersonal behaviour relates to students' subject-related attitudes across different school subjects. In this study, it was…
Descriptors: Foreign Countries, High School Students, Secondary School Teachers, Urban Schools
Quintana, Elizabeth Ruiz – ProQuest LLC, 2015
This mixed method study explored and analyzed instructional strategies utilized by algebra teachers whose students' coursework culminated in the New York State Regents Examination in Integrated Algebra and for whom 50% of the tested cohort earned mastery level (85 or higher) on the examination. The targeted populations were eighth or ninth grade…
Descriptors: Educational Strategies, Academic Achievement, Suburban Schools, Standardized Tests
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Pas, Elise T.; Bradshaw, Catherine P.; Mitchell, Mary M. – Psychology in the Schools, 2011
Office discipline referral (ODR) data are increasingly used to monitor student behavior problems and the impact of interventions, but there has been limited research examining their validity. The current study examined the concordance of ODRs with teacher ratings of student behavior using data on 8,645 children in 335 classrooms at 21 elementary…
Descriptors: Behavior Problems, Student Behavior, Discipline, Academic Achievement
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Marc Marschark; Debra M. Shaver; Katherine Nagle; Lynn A. Newman – Grantee Submission, 2015
Research suggests that the academic achievement of deaf and hard-of-hearing (DHH) students is the result of a complex interplay of many factors. These factors include characteristics of the students (e.g., hearing thresholds, language fluencies, mode of communication, and communication functioning), characteristics of their family environments…
Descriptors: Predictor Variables, Academic Achievement, Deafness, Hearing Impairments
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