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Mohanad Halaweh – Journal of Information Systems Education, 2025
Artificial intelligence (AI) and its subfield, machine learning, have become indispensable across various industries. With the aid of low-code/no-code development platform like KNIME, understanding and applying machine learning algorithms has been simplified for various fields, including business and information systems, as these platforms reduce…
Descriptors: Artificial Intelligence, Computer Uses in Education, Business Education, Information Systems
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Gao, Zhikai; Lynch, Collin; Heckman, Sarah; Barnes, Tiffany – International Educational Data Mining Society, 2021
As Computer Science has increased in popularity so too have class sizes and demands on faculty to provide support. It is therefore more important than ever for us to identify new ways to triage student questions, identify common problems, target students who need the most help, and better manage instructors' time. By analyzing interaction data…
Descriptors: Automation, Classification, Help Seeking, Computer Science Education
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Boussaha, Karima; Mokhati, Farid; Hanneche, Amira – International Journal of Web-Based Learning and Teaching Technologies, 2021
This article introduces a new learner's self-assessment environment as CEHL that allows comparison of learners' programs with those elaborated by the teacher. The subjacent idea is to indirectly compare programs through their graphical representations described by ontologies. So, CEHL developed so-called S_Onto_ALPPWA which allows comparing…
Descriptors: Self Evaluation (Individuals), Programming, Computer Uses in Education, Comparative Analysis
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Stapleton, Suzanne Cady; Dinsmore, Chelsea S.; Van Kleeck, David; Ma, Xiaoli – College & Research Libraries, 2021
Discovery of digital items by scholars and the public is highly dependent upon effective metadata to ensure inclusion and prioritization in search engines. Subject descriptions based on controlled vocabulary, such as Library of Congress subject headings (LCSH), are particularly useful to enhance discovery, but they may be expensive to provide. In…
Descriptors: Indexing, Metadata, Computer Use, Electronic Publishing
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Baosen Zhang; Ariana Frkonja-Kuczin; Zhong-Hui Duan; Aliaksei Boika – Journal of Chemical Education, 2023
Computer vision (CV) is a subfield of artificial intelligence (AI) that trains computers to understand our visual world based on digital images. There are many successful applications of CV including face and hand gesture detection, weather recording, smart farming, and self-driving cars. Recent advances in computer vision with machine learning…
Descriptors: Classification, Laboratory Equipment, Visual Aids, Optics
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Aulck, Lovenoor; Nambi, Dev; West, Jevin – International Educational Data Mining Society, 2020
Effectively estimating student enrollment and recruiting students is critical to the success of any university. However, despite having an abundance of data and researchers at the forefront of data science, traditional universities are not fully leveraging machine learning and data mining approaches to improve their enrollment management…
Descriptors: Resource Allocation, Scholarships, Artificial Intelligence, Data Analysis
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Bossé, Michael J.; Young, Erica Slate; Bayaga, Anass; Lynch-Davis, Kathleen; DeMarte, Ashley M.; Fountain, Catherine – International Journal for Mathematics Teaching and Learning, 2020
While one branch of literature is replete with investigations of problem solving and another branch frequently investigates student use of dynamic mathematics environments (DMEs), most of the studies in both of these fields consider whether or not students can solve problems. Far fewer number of studies consider the cognitive processes associated…
Descriptors: Cognitive Processes, Problem Solving, Mathematics Education, Mathematics Skills
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Smith, Justin G.; Tissing, Reid – Journal of Extension, 2018
This article introduces a process for computational text classification that can be used in a variety of qualitative research and evaluation settings. The process leverages supervised machine learning based on an implementation of a multinomial Bayesian classifier. Applied to a community of inquiry framework, the algorithm was used to identify…
Descriptors: Qualitative Research, Extension Education, Classification, Computer Uses in Education
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Pechenkina, Ekaterina – Australasian Journal of Educational Technology, 2017
Mobile applications (apps) are used in higher education (HE) in a variety of ways, including as learning tools, study organisers, for marketing, and recruitment of new students. Purposed with easing student transition into university life, organiser apps have a capacity to assist students with various aspects of university experience, freeing up…
Descriptors: Classification, Computer Oriented Programs, Educational Technology, Handheld Devices
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Judd, Terry – Australasian Journal of Educational Technology, 2015
Detailed logs of students' computer use, during independent study sessions, were captured in an open-access computer laboratory. Each log consisted of a chronological sequence of tasks representing either the application or the Internet domain displayed in the workstation's active window. Each task was classified using a three-tier schema…
Descriptors: Foreign Countries, Independent Study, Time Management, Executive Function
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Jung, Insung; Hong, Seongyoun – International Review of Research in Open and Distributed Learning, 2016
This study aimed to investigate and classify faculty members' instructional priorities for adopting OER. In-depth interview data were collected from 10 faculty members from different regions and analyzed with NVivo 10. The original supposition was that the well-established instructional priorities, effectiveness, efficiency, and appeal would…
Descriptors: College Faculty, Preferences, Adoption (Ideas), Resource Units
Pirani, Judith A. – EDUCAUSE, 2014
This Core Data Service (CDS) Spotlight focuses on public computing resources, including lab/cluster workstations in buildings, virtual lab/cluster workstations, kiosks, laptop and tablet checkout programs, and workstation access in unscheduled classrooms. The findings are derived from 758 CDS 2012 participating institutions. A dataset of 529…
Descriptors: Workstations, Community Information Services, Trend Analysis, Access to Computers
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Knowlden, Adam P.; Hackman, Christine L.; Sharma, Manoj – Health Education Journal, 2016
Objective: College students are at an increased risk of mental distress. The purpose of this study was to determine whether mental and lifestyle factors differed according to self-reported levels of psychological distress. Design and setting: A self-report questionnaire comprising the Kessler-6 Psychological Distress Scale, Revised Life…
Descriptors: Life Style, Emotional Disturbances, Self Concept Measures, Self Esteem
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Cohen, Anat; Reisman, Sorel; Sperling, Barbra Bied – International Review of Research in Open and Distributed Learning, 2015
Learning object repositories are a shared, open and public space; however, the possibility and ability of personal expression in an open, global, public space is crucial. The aim of this study is to explore personal spaces in a big learning object repository as a facilitator for adoption of Open Educational Resources (OER) into teaching practices…
Descriptors: Resource Units, Shared Resources and Services, Access to Information, Information Storage
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Krzic, Maja; Strivelli, Rachel A.; Holmes, Emma; Grand, Stephanie; Dyanatkar, Saeed; Lavkulich, Les M.; Crowley, Chris – Natural Sciences Education, 2013
Since soil plays a crucial role in all aspects of global environmental change, it is essential that post-secondary institutions provide students with a strong foundation in soil science concepts including soil classification. The onset of information technology (IT) and web-based multimedia have opened new avenues to better incorporate…
Descriptors: Soil Science, Instructional Design, Foreign Countries, Internet
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