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Xu, Yinuo; Pardos, Zachary A. – International Educational Data Mining Society, 2023
In studies that generate course recommendations based on similarity, the typical enrollment data used for model training consists only of one record per student-course pair. In this study, we explore and quantify the additional signal present in course transaction data, which includes a more granular account of student administrative interactions…
Descriptors: Semantics, Enrollment Trends, Learning Analytics, STEM Education
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Veen, Esther J.; Pijpker, Roald; Hassink, Jan – Journal of Adventure Education and Outdoor Learning, 2023
When children drop out of school, either temporarily or permanently, this poses a significant problem for both children and society. In the Netherlands, care farms offering care-education programs for school dropouts are emerging. While there is evidence for their effectiveness, models explaining how such outdoor interventions may facilitate…
Descriptors: Foreign Countries, Agriculture, Outdoor Education, Dropouts
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Butler, Robert C.; Blair, Christopher D.; Newman, Rae Ette; Batchelor, Leah L – Teaching Statistics: An International Journal for Teachers, 2023
This study compared the effectiveness of teaching a distance education statistics course using a computer-aided personalized system of instruction (CAPSI) in comparison to a distance education course that used video lectures. Data were collected between 2017 and 2022. Two-hundred and sixty-eight students were included in the sample. Results…
Descriptors: Mastery Learning, Statistics Education, Online Courses, Teaching Methods
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Wollast, Robin; Aelenei, Cristina; Chevalère, Johann; Van der Linden, Nicolas; Galand, Benoît; Azzi, Assaad; Frenay, Mariane; Klein, Olivier – Studies in Higher Education, 2023
The number of PhD candidates who experience psychological problems has risen significantly over the past few years. Poor mental health can have numerous negative consequences for PhD candidates and their supervisors, as it may adversely affect their quality of life, attrition, and academic productivity. Despite these well-documented challenges,…
Descriptors: Doctoral Students, Academic Persistence, Supervisor Supervisee Relationship, Social Support Groups
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Heritage, Brody; Ladeira, Christopher; Steele, Andrea R. – Higher Education: The International Journal of Higher Education Research, 2023
A significant number of university students are leaving their institutions before completing their degrees. The present research project applied embeddedness theory, from organizational research, to understand student retention in a tertiary student population, and develop a quantitative instrument that measured university student embeddedness. In…
Descriptors: Foreign Countries, Undergraduate Students, School Holding Power, Student Experience
Fatima, Saba – ProQuest LLC, 2023
Predicting students' performance to identify which students are at risk of receiving a D/Fail/Withdraw (DFW) grade and ensuring their timely graduation is not just desirable but also necessary in most educational entities. In the US, not only is the Science, Technology, Engineering, and Mathematics (STEM) major becoming less popular among…
Descriptors: Artificial Intelligence, Prediction, Outcomes of Education, At Risk Students
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Lerdpornkulrat, Thanita; Koul, Ravinder; Poondej, Chanut – Journal of Further and Higher Education, 2018
Disengagement and a lack of motivation have been found to be the major reasons for student drop out from higher education. In order to broaden our understanding of institutional and personal factors associated with intention to complete a college degree, this investigation examined the relationship between students' perceptions of classroom…
Descriptors: Classroom Environment, Organizational Objectives, Student Motivation, Learner Engagement
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Davidson, J. Cody; Wilson, Kristin B. – Community College Journal of Research and Practice, 2017
Historically, higher education research has focused on traditional students (i.e., recent high school graduates at a residential, 4-year institutions), but community college students are quickly becoming the new traditional student (Jenkins, 2012). In the fall of 2011, more than one third (36%) of all students enrolled in postsecondary education…
Descriptors: Higher Education, Community Colleges, Dropout Characteristics, Dropout Rate
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Graziosi, Grazia; Sneyers, Eline; Agasisti, Tommaso; De Witte, Kristof – Journal of Higher Education Policy and Management, 2021
This paper assesses the effect of need-based grants on the performance of university students in Italy. We performed a series of between-universities and within-universities propensity score matching analyses to evaluate the effect of grants on several student performance indicators, such as dropout rate, first year credits and efficiency of…
Descriptors: Grants, Academic Achievement, Universities, Correlation
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Clark, Sheri L.; Dyar, Christina; Inman, Elizabeth M.; Maung, Nina; London, Bonita – International Journal of STEM Education, 2021
Background: Innovation in STEM (science, technology, engineering, and math) fields in the U.S. is threatened by a lack of diversity. Social identity threat research finds messages in the academic environment devalue women and underrepresented groups in STEM, creating a chilly and hostile environment. Research has focused on the mechanisms that…
Descriptors: Females, Self Efficacy, STEM Education, Doctoral Students
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Feklistova, Lidia; Lepp, Marina; Luik, Piret – Education Sciences, 2021
In every course, there are learners who successfully pass assessments and complete the course. However, there are also those who fail the course for various reasons. One of such reasons may be related to success in assessment. Although performance in assessments has been studied before, there is a lack of knowledge on the degree of variance…
Descriptors: Online Courses, Educational Technology, Programming, Learner Engagement
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Rõõm, Marili; Lepp, Marina; Luik, Piret – Education Sciences, 2021
One of the problems regarding MOOCs (Massive Open Online Courses) is the high dropout rate. Although dropout periods have been studied, there is still a lack of understanding of how dropout differs for MOOCs with different levels of difficulty. A quantitative study was conducted to determine the periods with the highest dropouts in computer…
Descriptors: Online Courses, Large Group Instruction, Dropout Rate, Programming
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Rawat, Sher Singh; Luitel, Bal Chandra; Belbase, Shashidhar – Journal of Education and Learning (EduLearn), 2021
The purpose of this study was to explore the critical life-events of the first author's journey of learning and teaching mathematics that prompted critical thinking about his past experiences as a student and teacher. It portrays a paradigmatic shift from a traditionalist thinker to a constructivist actor in the classroom from the critical…
Descriptors: Teaching Experience, Teaching Methods, Mathematics Instruction, Individual Development
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Fandrem, Hildegunn; Tvedt, Maren Stabel; Virtanen, Tuomo; Bru, Edvin – Social Psychology of Education: An International Journal, 2021
Dropout from upper secondary education is a persistent educational problem, particularly among first-generation immigrant youth. This study examined factors associated with intentions to dropout to gain further insight into the process of leaving upper secondary education. The analyses of 1299 Norwegian first-year upper secondary school students'…
Descriptors: Intention, Potential Dropouts, Secondary School Students, Immigrants
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Psifidou, Irene; Mouratoglou, Nikolaos; Farazouli, Alexandra – Journal of Education and Work, 2021
Guidance and counselling are key features in comprehensive strategies aiming to reduce early leaving from education and training (ELET). It may assist students not only in terms of decision-making, but also of managing their transitions within education and training pathways or from education to employment. Minimising the risks of either…
Descriptors: Foreign Countries, Guidance, School Counseling, Dropout Prevention
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