Conducting Literature Reviews and Analysis Efficiently to Achieve Research Success Using SciSpace
This webinar will explore best research practices specifically designed for literature reviews and analysis using SciSpace.
Problem: Generative AI has undeniably transformed how college students learn and conduct research. In higher education, this technological advancement has changed teaching and learning practices, presenting a new challenge for educators, students, and researchers. How can higher education adapt to this technological revolution and ensure that researchers achieve optimal outcomes?
Solution: This webinar will highlight how to use SciSpace to leverage generative AI for research. The webinar will focus on evidence-based research strategies that effectively demonstrate SciSpace. I will demonstrate how SciSpace can be used effectively to strengthen research practices by leveraging its functionality for literature reviews and analyses.
At the beginning of the webinar, participants will learn practical techniques and research practices from various disciplines. Additionally, they will be able to align SciSpace with research objectives.
In this webinar, you will learn the following:
An overview of generative AI models and the importance of using them in academia.
How to Use SciSpace effectively for literature review, analysis, and citation management.
Developing effective prompts for information retrieval strategies.
All participants will be given the PowerPoint slides at the end of the webinar. In addition, the following e-book, titled 30 AI Tools for Educators, Librarians, and Researchers: Leveraging, AI Tools for Efficiency, will be available.
Audience
Academic Librarians, Researchers, and other information professionals interested in incorporating AI and learning the fundamentals of SciSpace.
Learning Outcomes
By the end of this course, you will have the ability to:
Investigate the capabilities of SciSpace.
Implement innovative strategies to enhance research and analysis practices
Develop effective prompts to elicit optimal outcomes from SciSpace.
Length: 60 minutes; Instructor-led course:
Presenter(s)/Instructors:
Jonathan M. Torres, MLIS, MA
Associate Professor, Business and Data Services Librarian, Rutgers University-Newark.
Jonathan is an Associate Professor and Business and Data Services Librarian, specializing in teaching data and information literacy, as well as statistical and data visualization software. He provides course-integrated and resource-specific instruction in business-based subject areas, develops and delivers data-related workshops, and offers consultative support such as finding data sets, assisting with data analysis software, and data management planning for universities, government, and external organizations. Mr. Torres received an M.S. in library and information science and an M.A. and B.A. in labor studies and employment relations from Rutgers University-New Brunswick. Mr. Torres is a LEADING Fellow for the LIS Education and Data Science Integrated Network Group (LEADING) program and was also selected for the OpenAI Academy’s Professors Teaching with AI series, where he is recognized for his innovative approach to enhancing teaching and learning with ChatGPT in higher education.
Jonathan is an accomplished keynote speaker who has presented at both national and international conferences on his research in bibliometrics and pedagogical practices utilizing AI-generated models, which has been published in peer-reviewed publications such as Science & Technology Libraries and the Journal of Business & Finance Librarianship. Jonathan's research on AI has been cited in esteemed journals, such as Nature and publications from the Institute of Electrical and Electronics Engineers (IEEE).