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Qiyang Zhang; Amanda Neitzel – Journal of Research on Educational Effectiveness, 2024
In recent years, the rapid development of artificial intelligence has enabled the launch of many new screening tools. This review aims to facilitate screening tool selection through a systematic narrative review and feature analysis. The current adoption rate of transparent tool reporting is low: by screening 191 studies published in the…
Descriptors: Selection Tools, Educational Resources, Artificial Intelligence, Selection Criteria
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Ting Zhang; Paul Bailey; Yuqi Liao; Emmanuel Sikali – Large-scale Assessments in Education, 2024
The EdSurvey package helps users download, explore variables in, extract data from, and run analyses on large-scale assessment data. The analysis functions in EdSurvey account for the use of plausible values for test scores, survey sampling weights, and their associated variance estimator. We describe the capabilities of the package in the context…
Descriptors: National Competency Tests, Information Retrieval, Data Collection, Test Validity
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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
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
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
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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
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Supaluck Seesukong; Thara Angskun; Nantapong Keandoungchun; Atitthan Thippongtorn; Jitimon Angskun – International Journal of Information and Communication Technology Education, 2024
The purpose of this research is to create a personalized system called CARIA that suggests career recommendations based on students' competencies and the required skills in each career. The focus of this study is on digital technology and digital media careers. The personalized career recommender system uses a novel similarity measure called…
Descriptors: Career Choice, Career Information Systems, Career Pathways, Career Readiness
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Momani, Alaa M. – International Journal of Web-Based Learning and Teaching Technologies, 2021
E-learning is one of the fastest growing areas of the high technology development, especially in the academic environments. However, the instructor is a very important factor in the learning process, but the advantages of e-learning change the role which the instructor plays in this process. E-learning gives an opportunity to anyone to learn in a…
Descriptors: Integrated Learning Systems, Decision Making, Electronic Learning, Learning Processes
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Haering, Marlo; Bano, Muneera; Zowghi, Didar; Kearney, Matthew; Maalej, Walid – IEEE Transactions on Learning Technologies, 2021
With the vast number of apps and the complexity of their features, it is becoming challenging for teachers to select a suitable learning app for their courses. Several evaluation frameworks have been proposed in the literature to assist teachers with this selection. The iPAC framework is a well-established mobile learning framework highlighting…
Descriptors: Automation, Courseware, Computer Software Evaluation, Computer Software Selection
Cameron Sharbel McKinley – ProQuest LLC, 2021
Secondary teachers use digital resources for teaching, yet little is known about how they find, evaluate, organize, and share these resources. This basic qualitative study was conducted to fill the gap and examine the experiences and practices of secondary educators in curating digital resources. Findings on how teachers manage digital…
Descriptors: Secondary School Teachers, Professional Development, Digital Literacy, Blended Learning
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Altun Turker, Yasemin; Baynal, Kasim; Turker, Turgay – Turkish Online Journal of Distance Education, 2019
Distance Education has become an important educational model with the development of information and communication technologies in the world. It has also become increasingly used model in Turkey. In our country, the number of universities and educational organizations offering distance education programs increase day by day. Distance education is…
Descriptors: Integrated Learning Systems, Distance Education, Computer Software Evaluation, Evaluation Methods
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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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Ozgur, Ceyhun; Kleckner, Michelle; Li, Yang – SAGE Open, 2015
The need for analysts with expertise in big data software is becoming more apparent in today's society. Unfortunately, the demand for these analysts far exceeds the number available. A potential way to combat this shortage is to identify the software taught in colleges or universities. This article will examine four data analysis software--Excel…
Descriptors: Computer Software Selection, Computer Software Evaluation, Statistics, Spreadsheets
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Pjanic, Karmelita; Hamzabegovic, Jasna – Practice and Theory in Systems of Education, 2016
In the era of information technology and general digitization of society, invasion of every kind of software is evident. No matter how laudable is the existence and development of educational software, taking into account its role, its quality and whether it achieves the desired goal is very important. In addition to programming experts it is…
Descriptors: Foreign Countries, Preservice Teachers, Preservice Teacher Education, Computer Software Evaluation
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Ok, Min Wook; Kim, Min Kyung; Kang, Eun Young; Bryant, Brian R. – Intervention in School and Clinic, 2016
Computers can be an effective teaching method for students with learning disabilities (LD). The use of mobile devices as education tools for students with disabilities has received considerable attention in special education recently. Parents, teachers, and professionals look for effective applications (i.e., apps) that meet the needs of their…
Descriptors: Instructional Material Evaluation, Learning Disabilities, Scoring Rubrics, Accessibility (for Disabled)
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