Exploring the foundations and practice of search skills, education, and literacy
Search Mastery refers to the ability to effectively search for information online and to make use of search terms, operators, tools, and specialized search engines to adjust a search based on one’s information needs. Further, search mastery encompasses the ability to effectively evaluate information that results from a search-- including scanning and selecting from results as they appear on a search engine results page and evaluating a webpage once it is opened.
Search Mastery promotes informed decision-making and problem-solving by increasing the opportunities that individuals have to learn the knowledge, skills, and practices that they need to efficiently and effectively find necessary information. Proficiency in the use of search engines enables users to understand and harness both the basic and more advanced features and functionalities of the tools. After completing Search Mastery training, users understand how search engines work and how to use their many built-in (but often hidden) features that can help them to optimize their searches, navigate through and select among the results returned, and assess the credibility of online content.
Search Mastery can give you the evaluation skills, decision-making chops, and info-management powers to find and act on available information, instead of being limited by what search engines and other mediating technologies present.
There are many resources available to develop your search capabilities and to promote the concepts included in the Search Mastery program. To take the Search Mastery Modules or to learn about including them in a course or a program you are working on, contact Sarah McGrew or Mary Ann Francis.
The Search Mastery Interest Group holds a guest lecture series. All live Search Mastery events will be held in a recorded Zoom webinar with meeting information shared after registration. All times are Eastern Standard Time. (Scroll down to view past events)
3/8 - Search Mastery Speaker Series
Speaker: Michael Twidale
University of Illinois Urbana-Champaign
Mon, Mar 8, 2021 @ 12:00 pm
4/12 - Search Mastery Speaker Series
Speaker: Ana Ndumu
University of Maryland
Mon, Apr 12, 2021 @ 12:00 pm
5/10 - Search Mastery Speaker Series
Mon, May 10, 2021 @ 12:00 pm
College of Education/Affiliate Assistant Professor
Beth St. Jean
Associate Professor, iSchool
Affiliate faculty member, Horowitz Center for Health Literacy
Elizabeth (Beth) Bonsignore
Assistant Research Scientist, iSchool
Senior Lecturer & Director, MLIS Program, iSchool
Information Foraging Theory
The central tenet of information foraging theory is that what is scarce is no longer information itself, but our attention – each of us must decide how to allocate our limited attention across various sources and types of information. How people allocate their attention is influenced by considerations of information overload, selective exposure, selective attention, and serendipity. Democracy is threatened when people have to wade through vast quantities of information to find the minority of information that is relevant, credible, and actionable; when they tend to only be exposed to information they already know and agree with; when they only pay attention to information that confirms their existing beliefs; and when serendipity is most likely to result in only more of the same for them.
One potential project entails a preliminary investigation into the information-seeking habits of college students as they aim to catch up on current events. How do they search for political news? What keywords do they use in their searches? Do their keywords reflect their preexisting beliefs and influence the search results they obtain? How do they select from among the various search results? Are there specific sources that they tend to turn to? What do they do when they encounter information that contradicts their preexisting beliefs? The results of this preliminary investigation will then be used to develop an online tutorial that will enable young adults to become more conscious of their searching processes and the ways in which their preexisting beliefs and their searches are simply reinforcing their views and potentially limiting what they can find out. They will also learn about a wider array of credible political news sources and learn searching skills that will enable them to improve the quality and comprehensiveness of their search results.
Curriculum enhancements developed by the Search Mastery Interest Group are designed to improve students’ understanding of search and search engines. These materials are currently deployed across the iSchool in undergraduate and graduate programs and at the College of Journalism. All faculty are encouraged to explore how improved search skills might benefit students in their programs.
While there are many opportunities for the general public to use search engines, there are FEW opportunities available to develop basic knowledge and skills to use these critical tools effectively. The Public Library Outreach initiative is working with public librarians to develop a Search Better! offering for adult library patrons. Search Better! means finding the information you want instead of what the search engine returns to you. Goals include helping patrons understand what to do when they:
- Find too many results
- Want specific sources of content
- Want specific structure of the content (image, PDF, HTML)
- Want to control a date range
- Want more relevant results
- Want to validate the information
The centrality of search platforms in almost every aspect of modern society makes searching better a critical aspect of daily life and civic engagement.
The Search Mastery Interest group occasionally undertakes projects to support the online research needs of internal and external clients. If you have such a project to discuss contact Brian Butler.
The team is currently supporting a charitable foundation wishing to research grantees’ progress in their education and careers.
Speaker: Dr. Joel Chan, UMD iSchool
A crucial component of search mastery is knowing what kinds of queries are possible (or easier/harder) to answer in a given search system. In this talk, I will discuss what questions are possible (or easier/harder) to answer in existing search systems. I will focus mostly on what is hard/impossible, and share some current practical solutions I am aware of, as well as some research frontiers I am exploring.
Joel Chan is an Assistant Professor in the University of Maryland’s College of Information Studies (iSchool) and Human-Computer Interaction Lab (HCIL), and Senior Fellow at the Center for Advanced Study of Communities and Information (CASCI). Previously, he was a Postdoctoral Research Fellow and Project Scientist in the Human-Computer Interaction Institute (HCII) at Carnegie Mellon University, and received his PhD in Cognitive Psychology at the University of Pittsburgh. His research investigates systems that support creative knowledge work, such as scientific discovery and innovative design. His long-term goal is to help create a future where innovation systems are characterized by openness and sustainability. His research has received funding from the National Science Foundation and the Institute for Museum and Library Sciences, and received Best Paper awards from the ASME Conference for Design Theory and Methodology, the Journal of Design Studies, and the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD).
Speaker: Dan Russell, Google Inc.
I've been teaching people how to augment their cognition by becoming more effective online researchers for the past decade. In that time, I've taught thousands of people (think students, librarians, professional researchers, and just plain folks) how to find out what they seek through Google (and many other online resources and tools). This talk covers my experiences in learning how to teach these skills, and what I've learned from direct interactions with my students and from various studies I've run in the lab and with live search traffic. I'll discuss my MOOC (PowerSearchingWithGoogle.com), which has had over 4.5M students, my live classes, and various publications in paper, book, and video formats. I can tell you which methods work best, why, and how it changes the way people think and answer difficult research questions.
Daniel Russell is Google's Senior Research Scientist for Search Quality and User Happiness in Mountain View. He earned his PhD in computer science, specializing in Artificial Intelligence. These days he realizes that amplifying human intelligence is his real passion. His day job is understanding how people search for information, and the ways they come to learn about the world through Google. Dan's current research is to understand how human intelligence and artificial intelligence can work together to better than either as a solo intelligence. His 20% job is teaching the world to search more effectively. His MOOC, PowerSearchingWithGoogle.com, is currently hosting over 3,000 learners/week in the course. In the past 3 years, 4 million students have attended his online search classes, augmenting their intelligence with AI. His instructional YouTube videos have a cumulative runtime of over 350 years (24 hours/day; 7 days/week; 365 weeks/year). His new book, The Joy of Search, tells intriguing stories of how to be an effective searcher by going from a curious question to a reliable answer, showing how to do online research with skill and accuracy. (MIT Press)