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Direct linkStephan Pühringer; Georg Wolfmayr – Research Evaluation, 2024
This paper develops a better understanding of the explicit and implicit implications of the academic field's competitization, with a specific focus on the role that academic social networks and platforms (ASNPs) play in this process. While ASNPs are embedded within a broad and complex ecology of academic competition we show that particularly…
Descriptors: College Students, Social Networks, Discourse Communities, Computer Mediated Communication
Rustam Shadiev; Xuan Chen; Fahriye Altinay – Journal of Computer Assisted Learning, 2024
Background: Our study analysed 46 articles on computer-aided translation (CAT) and its educational uses. We explored two main areas: CAT technologies in learning and teaching, and the research methodologies of these studies. Objectives: Our review covered the types of CAT technologies used, their applications in different learning settings,…
Descriptors: Translation, College Students, Computer Assisted Instruction, Computer Software Evaluation
Navigating Techniques in Job Recommender Systems on Internship Profile Matching: A Systematic Review
Flordeliza P. Poncio – Journal of Research in Innovative Teaching & Learning, 2024
Purpose: This review article is focused on the following research questions: RQ1: What are the methods used by authors to collect data in order to evaluate one's profile? RQ2: What are the classification algorithms and ranking metrics used to give suggestions to users? RQ3: How effective are these algorithms and metrics identified in RQ2?…
Descriptors: College Students, Internship Programs, Student Educational Objectives, Placement Tests
Erica J. Lewis; Michelle Hesse; Catherine Copeland – Journal on Excellence in College Teaching, 2024
Innovation courses are needed in higher education to meet workforce demands and prepare students for societal challenges. Assessment of outcomes can be challenging in innovation courses, particularly those that leverage diversity to drive innovation. The authors report on assessment methods in one such course at a public university using the…
Descriptors: College Students, Instructional Innovation, Diversity, Performance Based Assessment
Download full textKerstin 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)
Matthew McGrievy – ProQuest LLC, 2024
The purpose of this descriptive research study was to evaluate the web-based practice experience tracking system at a school of public health (SPH) at a large southeastern university. Applied practice experiences (APEs) are a key component of public health education, and schools and programs of public health in the United States must provide…
Descriptors: College Faculty, College Students, Public Health, Health Education
