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Md Akib Zabed Khan; Agoritsa Polyzou – Journal of Educational Data Mining, 2024
In higher education, academic advising is crucial to students' decision-making. Data-driven models can benefit students in making informed decisions by providing insightful recommendations for completing their degrees. To suggest courses for the upcoming semester, various course recommendation models have been proposed in the literature using…
Descriptors: Academic Advising, Courses, Data Use, Artificial Intelligence
Ankora, Carlos; Bolatimi, Stephen Oladagba; Bensah, Lily; Mahama, Francois; Kuadey, Noble Arden; Adu, Adolph Sedem Yaw; Adjei, Laurene – Journal of Computer Assisted Learning, 2023
Background: The degree to which Computer Science (CS) and Information Communication Technology (ICT) students are motivated to learn greatly impacts their study habits, academic achievement in school and ultimately their job prospects. In recent times, skills in programming languages have become vital in searching for employment. Objective: This…
Descriptors: College Students, Student Motivation, Course Selection (Students), Programming Languages
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
Khan, Md Akib Zabed; Polyzou, Agoritsa – International Educational Data Mining Society, 2023
Academic advising plays an important role in students' decision-making in higher education. Data-driven methods provide useful recommendations to students to help them with degree completion. Several course recommendation models have been proposed in the literature to recommend courses for the next semester. One aspect of the data that has yet to…
Descriptors: Course Selection (Students), Learning Analytics, Academic Advising, Decision Making
Richard Selase Gbadegbe; Joseph Amewu; Elikem Krampa; Samuel Nii Adamah Sampah – Cogent Education, 2024
There is a high interest for graphic design among the visual art disciplines in Ghana and several factors account for this. The purpose of this study was to investigate the factors that influence the preference for graphic design as the preferred visual art subject. To carry out this task, purposive sampling technique was employed to collect data…
Descriptors: Foreign Countries, High School Students, Undergraduate Students, Computer Assisted Design
Loucif, Samia; Gassoumi, Laila; Negreiros, Joao – Education Sciences, 2020
Academic advising is time-consuming work. At the same time, it needs to be efficient and productive in assisting the students to choose appropriate academic courses towards the completion of their selected programs in a beneficial manner. In addition, both private and public educational institutions are, currently, operating in an extremely…
Descriptors: Academic Advising, Academic Achievement, Progress Monitoring, Course Selection (Students)
Jones, Kyle M. L.; McCoy, Chase – Learning, Media and Technology, 2019
In this article, we argue that the contributions of documentation studies can provide a useful framework for analyzing the datafication of students due to emerging learning analytics (LA) practices. Specifically, the concepts of individuals being 'made into' data and how that data is 'considered as' can help to frame vital questions concerning the…
Descriptors: Data Analysis, Documentation, Guidelines, Data Collection
Crues, R. Wes; Henricks, Genevieve M.; Perry, Michelle; Bhat, Suma; Anderson, Carolyn J.; Shaik, Najmuddin; Angrave, Lawrence – ACM Transactions on Computing Education, 2018
Massive Open Online Courses (MOOCs)--in part, because of their free, flexible, and relatively anonymous nature--may provide a means for helping overcome the large gender gap in Computer Science (CS). This study examines why women and men chose to enroll in a CS MOOC and how this is related to successful behavior in the course by (a) using k-means…
Descriptors: Online Courses, Computer Science Education, Persistence, Gender Differences
Marcel, Mary – Business and Professional Communication Quarterly, 2017
Alumni are an underutilized resource for input on the oral presentation skills employees need at work and what should be taught in oral-presentation-focused business communication courses. Yet they are in a unique position to assess the utility of what they learned and recommend coursework changes. In survey responses, 1,610 business alumni who…
Descriptors: Alumni, Public Speaking, Employees, Business Communication
Ladeji-Osias, Jumoke O.; Partlow, LaDawn E.; Dillon, Edward C. – IEEE Transactions on Education, 2018
Contribution: This paper shows that participating in a year-round program for African-American male middle school students (ages 10-14) can positively impact their attitudes toward STEM, their confidence in problem solving and team work, and their interest in STEM careers, but may not impact the interest in taking STEM classes to the same extent.…
Descriptors: African American Students, Males, Middle School Students, Student Attitudes
Bushweller, Kevin C., Ed. – Education Week, 2017
This report, the 20th edition of "Technology Counts," examines how schools are tackling tech training for teachers, "passive" vs. "active" use of digital tools, and online learning needs. Contents include: (1) Tracking 20 Years of Change in Ed Tech (Kevin C. Bushweller); (2) Poor Students Face Digital Divide in How…
Descriptors: Educational Technology, Technology Uses in Education, Teacher Education, Technological Literacy
Phillips, Elizabeth D. – Change: The Magazine of Higher Learning, 2013
Traditionally, the collegiate advising system provides each student with a personal academic advisor who designs a pathway to the degree for that student in face-to-face meetings. Ideally, this is a supportive mentoring relationship. In truth, however, this system is highly inefficient, error prone, expensive, and a source of ubiquitous student…
Descriptors: College Students, Academic Advising, Counselor Role, Faculty Advisers
PEPNet 2, 2013
"Career Interests and Education Choices: It's My Plan!" will help students discover their interests and abilities. By learning about themselves, "It's My Plan!" will help students match their characteristics to career options and postsecondary education choices. "It's My Plan!" has four lessons: (1) Getting to Know Yourself; (2) Determine a Career…
Descriptors: Interests, Education Work Relationship, Glossaries, Postsecondary Education
Hagedorn, Linda Serra; Cabrera, Alberto; Prather, George – Journal of College Student Retention: Research, Theory & Practice, 2011
Using a newly developed software application entitled "The Community College Transfer Calculator"[C], this article both quantifies the effect of specific course-taking patterns and stresses the need for an easy to understand tool for community college academic advisors, faculty, and students. The "Calculator" calculates the…
Descriptors: Community Colleges, Course Selection (Students), College Transfer Students, Computer Software
Sakurai, Yoshitaka; Dohi, Shinichi; Tsuruta, Setsuo; Knauf, Rainer – Educational Technology & Society, 2009
In high-level education such as university studies, there is a flexible but complicated system of subject offerings and registration rules such as prerequisite subjects. Those offerings, connected with registration rules, should be matched to the students' learning needs and desires, which change dynamically. Students need assistance in such a…
Descriptors: Feasibility Studies, Academic Education, Foreign Countries, College Students
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