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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
Michael E. J. Stouthandel; Lena Van Beek; Joris Van de Velde; Carl Vangestel; Tom Van Hoof – Anatomical Sciences Education, 2024
For this pilot study, the use of the digital 3D anatomy application Complete Anatomy was evaluated as a non-mandatory additional study tool throughout the semester. The aim of the study was to investigate if the Complete Anatomy usage time had an effect on final exam grades and how the app was used post-COVID-19. This cross-sectional study asked…
Descriptors: College Freshmen, Physical Therapy, Allied Health Occupations Education, Visual Aids
Hong-Thu Thi Nguyen – Interactive Learning Environments, 2024
This article investigates the impact of LMS-based integrated online assessment implementation (LbIOA) on fostering learning motivation and academic performance from tertiary students' experiences and instructors' perspectives. A total of 156 students and seven teachers from the English department at a university in Vietnam participated in the…
Descriptors: Learning Management Systems, Computer Assisted Testing, Motivation, Performance
Sychev, Oleg; Penskoy, Nikita; Anikin, Anton; Denisov, Mikhail; Prokudin, Artem – Education Sciences, 2021
Intelligent tutoring systems have become increasingly common in assisting students but are often aimed at isolated subject-domain tasks without creating a scaffolding system from lower- to higher-level cognitive skills, with low-level skills often neglected. We designed and developed an intelligent tutoring system, CompPrehension, which aims to…
Descriptors: Intelligent Tutoring Systems, Comprehension, Undergraduate Students, Computer Science Education
Ayers, Meredith – Issues in Science and Technology Librarianship, 2020
Microsoft Academic (MA) claims to be an academic search engine that uses knowledge discovery, machine learning, and semantic inference to help users search for scholarly information in new and better ways. However, this is not the first iteration of Microsoft Academic. Since its debut in 2004 as Microsoft Academic Search (MAS) (Ortega &…
Descriptors: Search Engines, Computer Software Evaluation, Research, Information Retrieval
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)
Sat, Mustafa; Ilhan, Fatih; Yukselturk, Erman – Education and Information Technologies, 2023
Although there has been a growing interest in the use and adoption of augmented reality (AR) technology in educational institutions recently, there is limited research dwelling on pre-service teachers' technical and pedagogical preparation for AR technology. This study investigated teacher candidates' perceptions concerning their learning and…
Descriptors: Comparative Analysis, Computer Simulation, Technology Uses in Education, Interaction
Kumar, Bimal Aklesh; Goundar, Munil Shiva – Education and Information Technologies, 2023
Mobile language learning (MLL) is an emerging field of research, and many MLL applications have been developed over the years. In this paper, a systematic literature review (SLR) was conducted to establish a body of knowledge on the development of MLL applications. The SLR analyzed forty seven papers from seven different digital libraries…
Descriptors: Second Language Learning, Second Language Instruction, Telecommunications, Handheld Devices
Nicola Urquhart; Joanne Lee; Eileen Wood – Journal of Research in Childhood Education, 2024
The accessibility of mobile technologies opens a new world of possibilities for parents to support their children's learning through game-based numeracy apps. Carefully designed numeracy apps can be effective at improving children's foundational numeracy skills. In the absence of industry standards for quality, however, it is important to…
Descriptors: Foreign Countries, Preschool Children, Mathematics Education, Handheld Devices
Victor K. Y. Chan – International Association for Development of the Information Society, 2023
This article intends to investigate the consistency between a few popular generative AI robots in the evaluation of massive open online course (MOOC) platforms. The four robots experimented with in the study were Claude+, GPT-4, Sage, and Dragonfly, which were tasked with awarding rating scores to the eight major dimensions, namely (1)…
Descriptors: MOOCs, Robotics, Scores, Learning Management Systems
Godfrey F. Mendes – ProQuest LLC, 2024
This Praxis develops a machine learning (ML) model to address ransomware threats in higher education institutions (HEIs). HEIs are vulnerable to cyberattacks due to their open-access environments, diverse user bases, and decentralized IT systems. These vulnerabilities are compounded by limited budgets, heightened risks from increased digital…
Descriptors: Colleges, Artificial Intelligence, Users (Information), Risk Assessment
Clarke, Peter J.; Davis, Debra L.; Buckley, Ingrid A.; Potvin, Geoff; Thirunarayanan, Mandayam; Jones, Edward L. – ACM Transactions on Computing Education, 2022
There continues to be an increase in enrollments in various computing programs at academic institutions due to many job opportunities available in the information, communication, and technology sectors. This enrollment surge has presented several challenges in many Computer Science (CS), Information Technology (IT), and Software Engineering (SE)…
Descriptors: Learning Strategies, Learner Engagement, Computer Software Evaluation, Computer Science Education
Fronza, Ilenia; Corral, Luis; Pahl, Claus – Informatics in Education, 2020
Computer programming skills have been growing as a professional competence also to unqualified end-users who need to develop software in their professional practice. Quality evaluation models of end-user-developed products are still scarce. In this paper, we propose a metric that leverages "When", a condition typically found in…
Descriptors: Computer Software, Computer Software Evaluation, Difficulty Level, Programming Languages
Nguyen, Kim V.; Tansan, Merve; Newcombe, Nora S. – Journal of Cognition and Development, 2023
Research on spatial navigation is essential to understanding how mobile species adapt to their environments. Such research increasingly uses virtual environments (VEs) because, although VE has drawbacks, it allows for standardization of procedures, precision in measuring behaviors, ease in introducing variation, and cross-investigator…
Descriptors: Computer Simulation, Spatial Ability, Navigation, Research Methodology
Suthada Muengsan; Pinanta Chatwattana – Higher Education Studies, 2024
The GbL platform, or game-based learning platform, with generative AI is a research tool initiated from the combination of game-based learning concepts and generative artificial intelligence technology; thereby, this platform is intended to be used as a guideline for the instruction management, in which learners can respond and interact with the…
Descriptors: Artificial Intelligence, Game Based Learning, Digital Literacy, Technological Literacy

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