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Showing 1 to 15 of 36 results Save | Export
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Kerstin Wagner; Agathe Merceron; Petra Sauer; Niels Pinkwart – Journal of Educational Data Mining, 2024
In this paper, we present an extended evaluation of a course recommender system designed to support students who struggle in the first semesters of their studies and are at risk of dropping out. The system, which was developed in earlier work using a student-centered design, is based on the explainable k-nearest neighbor algorithm and recommends a…
Descriptors: At Risk Students, Algorithms, Foreign Countries, Course Selection (Students)
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Luciano, Ruth G.; Olipas, Cris Norman P.; Dela Cruz, Arnold P. – Online Submission, 2022
Student dropout is one of the challenges commonly encountered by learning institutions. It has been a problem and several studies have been conducted to know the reasons for dropping out to craft solutions appropriate and contextualized to different types of learning institutions. This study seeks to determine the dropout rates of the Bachelor of…
Descriptors: Foreign Countries, Information Technology, College Students, Dropout Rate
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Payne, Philip D. – Research and Issues in Music Education, 2023
Music education majors across the United States (N = 1029) self-reported indicators of depression, anxiety, personality, and stress. According to the results, music education majors are highly busy, and report elevated levels of stress as compared to their peers. Semester enrollment averages include: 18.5 hours (including 0 credit courses) a…
Descriptors: Music Education, Majors (Students), College Students, Mental Health
Jason Marcel Leary – ProQuest LLC, 2024
Researchers have discussed the crucial effect that information technology (IT) personnel have in a variety of industries. However, a knowledge gap exists in analyzing the effect that interactions between higher education IT personnel and their customers (learners, faculty, and staff) have on the ability to learn, teach, and achieve. The current…
Descriptors: Technical Support, Information Technology, Nonprofessional Personnel, Higher Education
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Mehdi, Riyadh; Nachouki, Mirna – Education and Information Technologies, 2023
Predicting student's successful completion of academic programs and the features that influence their performance can have a significant effect on improving students' completion, and graduation rates and reduce attrition rates. Therefore, identifying students are at risk, and the courses where improvements in content, delivery mode, pedagogy, and…
Descriptors: Foreign Countries, Grade Point Average, Graduation, Time to Degree
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Attuquayefio, Samuel NiiBoi – International Journal of Virtual and Personal Learning Environments, 2022
The purpose of this study is to investigate students' intention to use ICT and use behaviour for learning and research by extending the UTAUT model with Health Issues and satisfaction as mediating variables between ergonomics factors and intention to use ICT relationship. This study employed a survey, which used a questionnaire to elicit data from…
Descriptors: Information Technology, Technology Integration, Higher Education, Technology Uses in Education
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Yu, Liang; Chen, Shijian; Recker, Mimi – Australasian Journal of Educational Technology, 2021
This study investigated the structural relationships between self-regulated learning, teachers' credibility, information and communications technology (ICT) literacy and academic performance in blended learning. The study sample comprised of 449 undergraduates who completed blended courses within the past 3 years and consisted of 53% males (N =…
Descriptors: Independent Study, Teacher Characteristics, Credibility, Information Technology
Puente, Jaime E. – ProQuest LLC, 2017
The growing use of information and communication technologies (ICTs) in college campuses has dramatically increased the potential for multitasking among students who have to juggle classes, school assignments, work, and recreational activities. These students believe that they have become more efficient by performing two or more tasks…
Descriptors: Information Technology, Time Management, Predictor Variables, Classroom Environment
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Mubuke, Faisal; Kituyi, Geoffrey Mayoka; Masaba, Kutosi Ayub; Ogenmungu, Cosmas; Nagujja, Shakilah – Journal of Educational Technology, 2018
Among information systems, mobile learning systems are acknowledged for the exponential growth in recent years into education sector specifically in the higher education learning institutions. Mobile learning systems are viewed as a kind of information system, which universities use to better serve their students efficiently and effectively in…
Descriptors: Foreign Countries, Social Influences, Predictor Variables, Intention
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Korhonen, Vesa; Rautopuro, Juhani – Scandinavian Journal of Educational Research, 2019
Finland offers a specific example of a country with a broad enrolment in higher education, where the educational starting age is relatively high and where studies may last considerably longer than in most other European countries. This study attempted to identify at-risk students in Finnish universities with the greatest probability of…
Descriptors: College Students, At Risk Students, Dropouts, Probability
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Sumuer, Evren – Australasian Journal of Educational Technology, 2018
This study investigated factors influencing college students' self-directed learning with technology. A questionnaire was employed to obtain data from 153 college students on their self-directed learning readiness, the use of Web 2.0 tools for learning, online communication self-efficacy, and computer self-efficacy to predict their self-directed…
Descriptors: Self Efficacy, Web 2.0 Technologies, Independent Study, Predictor Variables
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Kung, LeeAnn; Kung, Hsiang-Jui – Information Systems Education Journal, 2017
This paper identifies factors that motivate students to pursue a vendor-endorsed ERP award by integrating concepts from motivation theory and constructs from technology acceptance literature. We developed a web-based survey with closed- and open-ended questions to collect both quantitative and qualitative data, respectively. Students in…
Descriptors: Student Attitudes, Student Surveys, Online Surveys, Predictor Variables
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Findik-Coskunçay, Duygu; Alkis, Nurcan; Özkan-Yildirim, Sevgi – Educational Technology & Society, 2018
With the recent advances in information technologies, Learning Management Systems have taken on a significant role in providing educational resources. The successful use of these systems in higher education is important for the implementation, management and continuous improvement of e-learning services to increase the quality of learning. This…
Descriptors: Integrated Learning Systems, Foreign Countries, Technology Uses in Education, Structural Equation Models
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Riemenschneider, Cynthia K.; Manly, Tracy S.; Leonard, Lori N. K. – Journal of Information Systems Education, 2016
Academic integrity continues to be a concern for universities and faculty. Yet practical methods for conveying ethical behavior can be difficult to achieve. This study uses the multidimensional ethics scale to gain insight into three situations involving students. The findings from those scenarios are then framed using the "Giving Voice to…
Descriptors: Information Technology, Integrity, Academic Achievement, Student Improvement
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Akbari, Elham; Naderi, Ahmad; Yazdi, Mahdi Hosseinzadeh; Simons, Robert Jan; Pilot, Albert – Journal of Interactive Learning Research, 2016
Despite the potential of social networks in formal learning, there should be more knowledge on the students and teachers attitudes toward such technology and more recent information in the context of the actual educational situation. The Technology Acceptance Model (TAM) was used. The instruments included a questionnaire investigate the attitudes…
Descriptors: Student Attitudes, Teacher Attitudes, Social Networks, Predictor Variables
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