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Pereira, Juanan; Diaz, Oscar – IEEE Transactions on Education, 2022
Contribution: Instructors are leveraging open-source software (OSS) as a way to experience authentic examples of software problems with their students. Recommender engines might assist students in selecting the right project based on metrics mined from project repositories (e.g., GitHub). This vision is realized through GitMate, a GitHub-based…
Descriptors: Computer Software, Open Source Technology, Student Projects, Selection
Ward, Rupert; Crick, Tom; Davenport, James H.; Hanna, Paul; Hayes, Alan; Irons, Alastair; Miller, Keith; Moller, Faron; Prickett, Tom; Walters, Julie – Journal of Interactive Media in Education, 2023
Employers are increasingly selecting and developing employees based on skills rather than qualifications. Governments now have a growing focus on skilling, reskilling and upskilling the workforce through skills-based development rather than qualifications as a way of improving productivity. Both these changes are leading to a much stronger…
Descriptors: Recognition (Achievement), Job Skills, Evaluation Methods, Microcredentials
Nico Willert; Jonathan Thiemann – Technology, Knowledge and Learning, 2024
Manual composition of tasks and exams is a challenging and time-consuming task. Especially when exams are taken remotely without the personal monitoring by examiners, most exams can easily lose their integrity with the use of previously done exercises or student communication. This research introduces an approach that incorporates the principles…
Descriptors: Tests, Examiners, Foreign Countries, Multiple Choice Tests
Dexter, Sara; Francisco, Aubrey; Luke Luna, Christina – Journal of Educational Administration, 2021
Purpose: The purpose of this study was to better understand K-12 district leaders' reasoning and processes for selecting and deploying EdTech instructional products, including which, if any, types of data are used to support decision-making. Design/methodology/approach: This multisite case study of educational technology (EdTech) decision-making…
Descriptors: Educational Technology, Decision Making, Selection, Purchasing
William Harper Stewart – ProQuest LLC, 2019
The purpose of this study was to examine principal perception of the HUMANeX Ventures computerized teacher screener. Data was gathered to determine if the HUMANeX Ventures computerized hiring screener played a significant role in the teacher selection process in districts that purchased the system in the State of Texas. Once data was collected,…
Descriptors: Principals, Administrator Attitudes, Personnel Selection, Screening Tests
Julie Anna Fuller – ProQuest LLC, 2023
Children's exposure to technology primarily depends on parental decisions concerning when and how to introduce them to technology and some parents are not aware of the dangers on cognitive and social growth. However, there are significant research gaps on the factors that influence parental decisions on introducing preschool-aged children to…
Descriptors: Preschool Children, Parents, Parenting Styles, Decision Making
II. Douglas R. Allen – ProQuest LLC, 2023
The problem addressed in this study was whether real or perceived barriers exist among higher education finance professionals, which may influence their perceptions of risk and trustworthiness to adopt FinTech. The purpose of this study was to address whether or not perceptions of the risks and trustworthiness of software applications used in…
Descriptors: Risk, Trust (Psychology), Credibility, Computer Software
Md Akib Zabed Khan; Agoritsa Polyzou – Journal of Educational Data Mining, 2024
In higher education, academic advising is crucial to students' decision-making. Data-driven models can benefit students in making informed decisions by providing insightful recommendations for completing their degrees. To suggest courses for the upcoming semester, various course recommendation models have been proposed in the literature using…
Descriptors: Academic Advising, Courses, Data Use, Artificial Intelligence
Melissa A. Shepherd; Elizabeth J. Richardson – Teaching Statistics: An International Journal for Teachers, 2024
Statistical software is commonly used in undergraduate social sciences statistics courses. Due to the increase in online/hybrid courses and the cost of SPSS, instructors may wish to switch to another statistical software. We cover seven programs: Excel, Google Sheets, jamovi, JASP, PSPP, R, and SOFA. We compare programs using the following…
Descriptors: Open Source Technology, Statistics, Computer Software, Computer Software Reviews
Eva-Lena Bjursten; Tor Nilsson; Gunnar Jonsson – International Journal of Technology and Design Education, 2024
There is a recognized need to understand the current state of programming implementation in the Swedish compulsory school system. This study focused specifically on the implementation of programming in the school subject of technology for grades 4-6. In Sweden, the responsibility for choosing teaching and learning material lies with individual…
Descriptors: Foreign Countries, Grade 4, Grade 5, Grade 6
Barbosa, Rafael; Souza, Ricardo – Informatics in Education, 2021
Software is usually considered enabler for innovation in education. Thus, it is necessary to investigate: What leads to innovation in education and which, therefore, should be considered in the development of educational software? How to support decision-making for choosing software to be used in teaching and learning? How to evaluate software…
Descriptors: Educational Innovation, Computer Uses in Education, Computer Software, 21st Century Skills
Kristen Mitchell Samuels – ProQuest LLC, 2021
This multi-phase dissertation explores how student placement management software can be evaluated, selected, adopted, and diffused within a university setting, considering multiple stakeholders with varying needs and differing levels of decision-making authority. Utilizing a case study design and Roger's Diffusion of Innovation framework (2003),…
Descriptors: Computer Software, Computer Software Evaluation, Computer Software Selection, Student Placement
Ankora, Carlos; Bolatimi, Stephen Oladagba; Bensah, Lily; Mahama, Francois; Kuadey, Noble Arden; Adu, Adolph Sedem Yaw; Adjei, Laurene – Journal of Computer Assisted Learning, 2023
Background: The degree to which Computer Science (CS) and Information Communication Technology (ICT) students are motivated to learn greatly impacts their study habits, academic achievement in school and ultimately their job prospects. In recent times, skills in programming languages have become vital in searching for employment. Objective: This…
Descriptors: College Students, Student Motivation, Course Selection (Students), Programming Languages
Xu, Yinuo; Pardos, Zachary A. – International Educational Data Mining Society, 2023
In studies that generate course recommendations based on similarity, the typical enrollment data used for model training consists only of one record per student-course pair. In this study, we explore and quantify the additional signal present in course transaction data, which includes a more granular account of student administrative interactions…
Descriptors: Semantics, Enrollment Trends, Learning Analytics, STEM Education
Abbasnasab Sardareh, Sedigheh; Brown, Gavin T. L.; Denny, Paul – Teaching Statistics: An International Journal for Teachers, 2021
Research students in social science disciplines frequently struggle to master statistical analysis. A contributing factor may be the statistical software that is used, as the design of such software may not address the needs of non-statisticians or non-computer programming students. Hence, decisions about which statistical software tools are most…
Descriptors: Comparative Analysis, Computer Software, Statistics, Introductory Courses