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Showing 1 to 15 of 144 results Save | Export
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Stephan 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
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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
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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
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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
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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)
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
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Heinsen Egan, Matthew; McDonald, Chris – Computer Science Education, 2021
Background and Context: Students learning the C programming language struggle to debug, and to understand the runtime behaviour of, their programs. Objective: We examine a tool that combines several novice-focused error detection, program visualization, and debugging techniques, to investigate which features students use in real study sessions,…
Descriptors: Computer Science Education, Programming Languages, Programming, Novices
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Mezhennaya, Natalia M.; Pugachev, Oleg V. – Problems of Education in the 21st Century, 2019
This research presents the analysis of image of the popular program packages: CAS (Computer Algebra Systems) Matlab, Mathcad, Mathematica, and the spreadsheet 'Microsoft Excel' among students of engineering specializations studying in Bauman Moscow State Technical University (BMSTU). The research has explored perception of program packages by all…
Descriptors: Student Attitudes, Algebra, Computer Software, Engineering Education
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Babcock, Renée L.; Georgiou, Jean – Journal of Effective Teaching in Higher Education, 2019
This study used propensity score matching to compare two online courseware systems intended for use as supplements to either face-to-face or online courses. One courseware system focused on adaptive features available to students while completing assignments; whereas the other system was an interactive courseware that provided embedded media…
Descriptors: Computer Software Evaluation, Courseware, Probability, Scores
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Novak, Matija; Joy, Mike; Kermek, Dragutin – ACM Transactions on Computing Education, 2019
Teachers deal with plagiarism on a regular basis, so they try to prevent and detect plagiarism, a task that is complicated by the large size of some classes. Students who cheat often try to hide their plagiarism (obfuscate), and many different similarity detection engines (often called plagiarism detection tools) have been built to help teachers.…
Descriptors: Plagiarism, Computer Software, Computer Software Evaluation, College Students
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Mayhew, Emma – Journal of Political Science Education, 2019
Students within higher education increasingly expect a teaching and learning environment which makes effctive use of technology enhanced learning and respond particularly well to information delivered using a visual medium. One way in which colleagues have responded is through the increased use of new, free presentation software. This review…
Descriptors: College Students, Computer Software, Computer Uses in Education, Learner Engagement
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Chen, Teresa; Hsu, Hui-Mei; Stamm, Sheila Wright; Yeh, Ronnie – E-Learning and Digital Media, 2019
The purpose of this study was to identify salient features for a critical thinking app and create an instrument to facilitate the app evaluation and selection process. Two questions guided the study: (1) What distinguishes critical thinking instructional apps from others? and (2) What design principles are essential to develop a critical thinking…
Descriptors: College Students, Student Evaluation, Evaluation Methods, Critical Thinking
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Hussein, Mohammed Juned; Yusuf, Javed; Deb, Arpana Sandhya; Fong, Letila; Naidu, Som – Open Praxis, 2020
COVID-19 is hastening the adoption of online learning and teaching worldwide, and across all levels of education. While many of the typical learning and teaching transactions such as lecturing and communicating are easily handled by contemporary online learning technologies, others, such as assessment of learning outcomes with closed book…
Descriptors: Computer Assisted Testing, Computer Software Evaluation, Supervision, Distance Education
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Kumar, Bimal Aklesh; Chand, Sailesh – International Journal of Virtual and Personal Learning Environments, 2018
In order to assist in delivering of courses in distance mode at Fiji National University a mobile learning app was designed and evaluated. The main objective of this app was to provide learning support to learners who are studying in distance mode. The app was designed for android based smart phones and usability study was conducted to evaluate…
Descriptors: Foreign Countries, Computer Oriented Programs, Electronic Learning, Distance Education
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Cohen, Anat; Ezra, Orit – Computer Assisted Language Learning, 2018
Contextualised mobile assisted language learning (MALL) has been known for its potential in language learning rooted in social constructivism theories. However, a consistent approach to constituents of contextualised MALL, in addition to a quantitative tool to evaluate it, is missing in reported case studies. The present research, drawing upon…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Telecommunications
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