Publication Date
| In 2024 | 3 |
| Since 2023 | 5 |
| Since 2020 (last 5 years) | 16 |
| Since 2015 (last 10 years) | 33 |
| Since 2005 (last 20 years) | 116 |
Descriptor
| Computer Software Selection | 524 |
| Computer Software Evaluation | 146 |
| Computer Software | 140 |
| Computer Uses in Education | 130 |
| Computer Assisted Instruction | 127 |
| Educational Technology | 108 |
| Elementary Secondary Education | 108 |
| Higher Education | 94 |
| Courseware | 90 |
| Evaluation Criteria | 75 |
| Microcomputers | 66 |
| More ▼ | |
Source
Author
| Sampson, James P., Jr. | 8 |
| Allen, Denise | 6 |
| Buckleitner, Warren | 6 |
| Crawford, Walt | 3 |
| Evans, Mary Ann | 3 |
| Gottardo, Alexandra | 3 |
| McDougall, Anne | 3 |
| Neugebauer, Roger | 3 |
| Savage, Robert | 3 |
| Shade, Daniel D. | 3 |
| Squires, David | 3 |
| More ▼ | |
Publication Type
Education Level
Audience
| Practitioners | 83 |
| Teachers | 51 |
| Administrators | 17 |
| Parents | 9 |
| Policymakers | 9 |
| Media Staff | 7 |
| Students | 4 |
| Counselors | 3 |
| Researchers | 2 |
Location
| Canada | 6 |
| Australia | 5 |
| Illinois | 4 |
| Netherlands | 4 |
| New York | 4 |
| Pennsylvania | 3 |
| Turkey | 3 |
| California | 2 |
| Connecticut | 2 |
| Florida | 2 |
| Georgia | 2 |
| More ▼ | |
Laws, Policies, & Programs
| Family Educational Rights and… | 2 |
| Freedom of Information Act | 1 |
| Library Services and… | 1 |
Assessments and Surveys
| General Educational… | 1 |
| Learning Style Inventory | 1 |
| Sequential Tests of… | 1 |
What Works Clearinghouse Rating
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
Attributes of Communication Aids as Described by Those Supporting Children and Young People with AAC
Judge, Simon; Murray, Janice; Lynch, Yvonne; Meredith, Stuart; Moulam, Liz; Randall, Nicola; Whittle, Helen; Goldbart, Juliet – International Journal of Language & Communication Disorders, 2023
Background: Those supporting children and young people who use augmentative and alternative communication (AAC) contribute to ongoing complex decision-making about communication aid selection and support. Little is known about how these decisions are made in practice and how attributes of the communication aid are described or considered. Aims: To…
Descriptors: Assistive Technology, Augmentative and Alternative Communication, Decision Making, Children
Aleksandra Kostic-Ljubisavljevic; Andreja Samcovic – Education and Information Technologies, 2024
This paper reports on how the concept and technologies of GIS are included in the telecommunications engineering curriculum at the undergraduate level. The course of Fundamentals of GIS is described in detail. The usage of GIS software is necessary part of GIS technology education. In order to evaluate available GIS software, several criteria are…
Descriptors: Geographic Information Systems, Computer Software Selection, Computer Uses in Education, Telecommunications
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
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
Qiyang Zhang; Amanda J. Neitzel; Robert Slavin – Society for Research on Educational Effectiveness, 2021
Background: Rigorous meta-analysis holds promise to answer the ultimate important question in education: which interventions work and for whom? Evidence-based reform in education has contributed to a proliferation of well-designed experiments in recent years, which calls for updated systematic reviews. However, this proliferation is a double-edged…
Descriptors: Educational Research, Literature Reviews, Meta Analysis, Selection Tools
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
Sk, Md Ajimuddin; Jana, Sibsankar; Khatun, Samima – Higher Education for the Future, 2021
We are in the age of information and communication technology (ICT), where the learning communities (i.e., learners, teachers, scholars, etc.), mainly in higher education domains, are more technology dependent. The stakeholders always handle advanced research, study and technologies, and therefore they need some authentic and updated information…
Descriptors: Open Source Technology, Computer Software Selection, Selection Criteria, Integrated Learning Systems
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
Nello Scarabottolo – International Association for Development of the Information Society, 2022
The paper analyses the grades assigned by the professors of the University of Milan to their students at the end of written exams, comparing what happened in academic year 2018-19 and in academic year 2020-21, i.e., before and during the crisis caused by the COVID-19 pandemic. In March 2020, the lockdown closed the classrooms, stopping…
Descriptors: COVID-19, Pandemics, Grades (Scholastic), Achievement Rating
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
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
Rosen, David J. – Adult Literacy Education, 2019
The focus of the Technology Solutions for Adult Basic Skills Challenges column begins with common challenges facing adult basic skills practitioners, expressed, for example, in the LINCS Integrating Technology group for which I am the moderator, in other LINCS groups, in my national and state conference or webinar presentations, or privately in…
Descriptors: Blended Learning, Technology Integration, Adult Basic Education, Basic Skills
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
Rafalow, Matthew H.; Puckett, Cassidy – Educational Researcher, 2022
Existing scholarship suggests that schools do the work of social stratification by functioning as "sorting machines," or institutions that determine which populations of students are provided educational resources needed to help them get ahead. We build on this theory of social reproduction by extending it to better understand how…
Descriptors: Technology Uses in Education, Social Stratification, Resource Allocation, Data Use

Peer reviewed
Direct link
