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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
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
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)
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
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
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
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
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
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
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
Vijayasarathy, Leo R.; Gould, Susan Martin; Gould, Michael – Business and Professional Communication Quarterly, 2015
Written clarity and conciseness are desired by employers and emphasized in business communication courses. We developed and tested the efficacy of a cueing tool--Scribe Bene--to help students reduce their use of imprecise and ambiguous words and wordy phrases. Effectiveness was measured by comparing cue word usage between a treatment group given…
Descriptors: Writing (Composition), Cues, Computer Software Evaluation, Business Communication
Al-Sakkaf, Abdullah; Omar, Mazni; Ahmad, Mazida – Computer Science Education, 2019
Background and Context: In spite of the decades spent developing software visualization (SV), doubts still remain regarding their effectiveness. Furthermore, student engagement plays an important role in improving SV effectiveness as it is correlated with many positive academic outcomes. It has been shown that the existing SV has failed to engage…
Descriptors: Learner Engagement, Computer Software, Outcomes of Education, Computer Interfaces
Mota, José Miguel; Ruiz-Rube, Iván; Dodero, Juan Manuel; Figueiredo, Mauro – International Association for Development of the Information Society, 2016
Augmented Reality (AR) technology allows the inclusion of virtual elements on a vision of actual physical environment for the creation of a mixed reality in real time. This kind of technology can be used in educational settings. However, the current AR authoring tools present several drawbacks, such as, the lack of a mechanism for tracking the…
Descriptors: Virtual Classrooms, Computer System Design, Computer Software Evaluation, Computer Software
Rouhani, Saeed; Mirhosseini, Seyed Vahid – International Journal of Web-Based Learning and Teaching Technologies, 2015
Today, several educational portals established by organizations to enhance web E-learning. Intelligence agent's usage is necessary to improve the system's quality and cover limitations such as face-to-face relation. In this research, after finding two main approaches in this field that are fundamental use of intelligent agents in systems design…
Descriptors: Intelligent Tutoring Systems, Electronic Learning, Integrated Learning Systems, Computer Software Evaluation