According to Eric Garrett, academics have always been fascinated by the development of search engines, and Google's growth hasn't helped things. In this post, we'll look at the development of Google Scholar and other academic search engines, as well as why they're useful for academic research. The distinction between academic search engines and Google Scholar is found in the technology that power the search process. The former is a fantastic option for educational researchers, whilst the latter is an excellent option for individuals who wish to study the broad scope of academic research. Microsoft Academic: A Google Scholar competitor? Microsoft Academic is a scholarly search engine that indexes over 120 million scholarly articles. Scientific articles, journals, and conferences are examples of these publications. Microsoft Academic also includes a comprehensive list of disciplines of study and the ability to select by themes of interest. Researchers in computer science, for example, may filter findings based on programming languages, artificial intelligence, and data science. If you're looking for academic research, Microsoft Academic's free academic search engine is a great place to start.
Another outstanding educational research search engine is ERIC. This user-friendly database offers more than 1 million bibliographic items on educational research. The Institute of Education Sciences, a component of the United States Department of Education, financed the creation of this academic search engine on May 15, 1964. ERIC's major target audience is academics and researchers in educational research. It is free to use for non-academic scholars, and EBSCOhost provides a public version of ERIC.
ERIC, an online digital library of education research, is a great resource for students, journalists, and political enthusiasts. It has about 278,000 online papers and 5000 domains in its index. iSeek, an academic research search engine, and Google Scholar, which specializes on legal papers and patents, are two more educational search engines. Although the complete text of all articles may not be accessible, these tools assist instructors in locating excellent, dependable material.
Eric Garrett pointed out that engines that were often employed in educational research. Google Scholar was the most used academic search engine at its peak. While not all papers were released in full text, it was able to amass a sizable collection of publicly accessible materials. Furthermore, it includes extensive coverage in subjects such as social sciences, arts, history, and others. Academic research is now simpler than ever before, thanks to such a broad resource.
A wide range of academic research tools have aided students in gathering instructional resources and advancing their careers. Google Scholar and Microsoft Academic are two notable examples, both of which feature chapters on data collecting and are routinely updated. Most textbooks also discuss procedures for performing qualitative research as well as those for conducting quantitative research. Few of these textbooks, however, provide complete treatment of all data-collection methodologies. Some, such as Trochim and Olsen, provide a reader-friendly introduction to data collecting in the education profession.
Gamification was all the rage in the educational sector a few years ago. Gamification engages students in an active, multisensory learning experience while also allowing them to improve problem-solving abilities. Gamification may also help students overcome time and location restrictions by allowing them to learn anywhere and at any time. A tablet may be used for online educational research if the user does not have access to a computer.
WorldWide Scientific, an online global science search engine and deep-web research tool meant to facilitate knowledge exchange across borders and cultures, is one of the engines that is frequently utilized in educational research today. Librarians established Infotopia, an educational search engine, to deliver school-related information. It uses Google custom search to identify webpages that have been reviewed by educational specialists. These websites are beneficial to educators, parents, students, and researchers.
In Eric Garrett’s opinion, academics nowadays have a plethora of academic search engines to choose from, but how can they determine which one is the best? Academics may assess the success of these search algorithms using a variety of criteria, including relevance, objectivity, and accuracy. Furthermore, academics may evaluate search engines based on their size, amount of available materials, and breadth. This allows them to choose the optimal search system for their research requirements.
