Teaching

Snowy Owl

MyBibliography | orcid.org/0000-0003-1814-0151 | Scholarly Works (Zenodo) | SciENcv

His teaching philosophy is influenced by the Boyer’s Model of Scholarship that includes four types of scholarship:

• Discovery – consists of traditional research knowledge building as the purpose and publishing in peer-reviewed forums as a measure of performance;
• Integration – consists of interdisciplinary use and interpretation of knowledge as the purpose and collaborating with colleagues to design and deliver a course as a measure of performance;
• Application – consists of professional and societal implications to address problems as the purpose and assuming leadership roles in professional organizations as a measure of performance;
• Teaching – consists of studying models and best practices for improved learning as the purpose and mentoring graduate students as a measure of performance (Nibert, 2008).

Reference: Nibert, M. (2008). “Boyer’s Model of Scholarship”, Faculty Guidebook, 4th Edition, Pacific Crest: Lisle, IL.

1. Teaching experiences include: Lecturer, Teaching Assistant, and Invited Guest Lecture.
2. Graduate courses include: INSC590 Information Sciences 590 Section 003 Problems: Information Sciences (Note: developed new course for Spring 2019 and offered again for Spring 2020); CAP5108: Research Methods for Human-centered Computing;  LIS5472 Digital Libraries; LIS5786 Information Architecture; LIS5916 Metadata.
3. University Affiliations include: University of Florida and University of Tennessee Knoxville.

University of Tennessee Knoxville School of Information Sciences

Lecturer  – The University of Tennessee School of Information Sciences –  Learn About  a Lecturer (July 9, 2020)

•  Information Sciences 590 Section 003/004 Problems: Information Sciences: Data Management (Spring 2020, Spring 2019); Department: School of Information Sciences; Instructor: Plato Smith; Course Description: Many funding agencies require researchers to develop data management plans detailing the aggregation, dissemination, and preservation of their funded research. According to the Committee on Data of the International Council for Science (CODATA) Research Data Alliance (RDA) School of Research Data Science “research data science” require the ensemble of skills that include (1) principles and practices of Open Science and research data management and curation, including data repositories, (2) the use of a range of data platforms and infrastructures, (3) large scale analysis, (4) statistics, (5) visualization and modeling techniques, (6) software development and annotation, and (7) more. The funding, managing, and sharing of research data involve multiple stakeholders throughout the data lifecycle. This course introduces the fundamental data management models and socio-technical systems theory (Leeds University Business School Socio-Technical Centre) to identify, organize, and utilize socio-technical (e.g., people, buildings/infrastructure, technology, culture, processes/procedures, and goals) relationships to enable data management and curation and cyberinfrastructure development through research collaborations. Course Objectives: The course will involve teaching through mini-assignments, projects, and active participation. As the need for funded research to be findable, accessible, interoperable, and reusable (FAIR) become increasingly significant across all disciplines, this course seeks to explore the concept of socio-technical data management cyberinfrastructure in the context of researchers developing data management education, support, and training within/across communities of practice. The data management course that originated as a Special Topics course developed into the INSC 563 Data Management required course for the Research Data Management Graduate Certificate [See: UTK SIS Research Data Management Graduate Certificate].
  • Spring 2020 Students’ final projects in Zenodo Generalist Repository.
  • Spring 2019 Students’ final projects in Zenodo Generalist Repository.

Teaching Assistant

Florida State University

• CGS2835 Interdisciplinary Web Development (Summer 2013, Spring 2013, Fall 2012); Department: Program in Interdisciplinary Computing (PIC); Instructor: Geoffery Miller; Course Description: Course topics include Web Design Basics (HTML, CSS, Graphics, Visual design principles, Web publishing, Web architecture); Client-side Web Programming (Javascript, Software Engineering Development Process); Server-side Web Programming (PHP, MySQL, Basic programming principles); Integration (Combining development skills, Modular design, Introduction to Model View Controller, Web Application Frameworks). This interdisciplinary course provides basic training in all of these aspects of Web development to empower students across disciplines to effectively communicate their subject area expertise through today’s most popular publishing medium, the Web.
• LIS4410 Social implications for Information Age (Spring 2012); Department: Library and Information Studies (LIS); Instructor: John Marks; Course Description: This course is an introduction to the rapidly evolving roles of technology and information in the present era, with a focus on the legal and public policy matters that serve as both cause and effect to these roles.
• LIS5786 Introduction to Information Architecture (Summer 2012); Department: Library and Information Studies (LIS); Instructor: Peter Jorgensen; Course Description: This course provides instruction and learning experiences in user-centered design of information spaces, especially web sites.
• LIS5203 Assessing Information Needs (Spring 2011, Fall 2009); Department: Library and Information Studies (LIS); Instructor: Paul Marty; Course Description: This course provides students with an overview that emphasizes the user’s perspective in the analysis of information needs and preferences, including the fundamentals necessary for the study and understanding of human information-seeking behaviors of a variety of users and user groups.
• LIS5703 Information Organization (Summer 2010, Spring 2010); Department: Library and Information Studies (LIS); Instructor: Gary Burnett; Course Description: Establishes the conceptual and theoretical framework for organizing and retrieving information, including the study of systems, their objectives and structures, formats, standards, and vocabularies; and the information object and its relationship to organizing systems and to other information objects.
• LIS5590 Museum Informatics (Fall 2009); Department: Library and Information Studies (LIS); Instructor: Paul Marty; Course Description: This course provides an introduction to Museum Informatics, the study of how technical innovations influence the social world of museums, by exploring the nature of information technology in museums and the way modern information systems have shaped the museum environment.

Invited Guest Lectures

University of Florida

• CAP5108: Research Methods for Human-centered Computing (Spring 2020, Spring 2019, Spring  2018) – Instructor: Dr. Eakta Jain; Course Description: This class introduces the fundamental methods and techniques to collect data from humans for building and evaluating technologies, including experimental design, types of variables, types of errors, hypothesis testing, survey design, behavioral and psychophysical methods. The class will involve learning through mini-assignments, projects, and active participation. As empirical results become increasingly important in computer science, this course seeks to explain the concepts of experimental design and data analysis in the context of humans interacting with technology.

Florida State University

• LIS5472 Digital Libraries (Spring 2011); Department: Library and Information Studies (LIS); Instructor: Sanghee Oh; Course Description: This course addresses conceptual, practical, and technical issues, problems and approaches to digital libraries. The course offers a comprehensive overview of digital libraries, beginning with the issues in design, management and evaluation of digital libraries, such as: collection management and digitization; knowledge representation; access and user interfaces; archiving and digital preservation; and evaluation. The research literature addressing digital library development will also be discussed.
• LIS5787 Fundamentals of Metadata Theory and Practice (formerly LIS5916) (Fall 2006); Department: Library and Information Studies (LIS); Instructor: Besiki Stvilia; Course Description: Metadata is critical in accessing, managing, and exchanging electronic resources. This course will introduce students to the basic theories and principles of metadata design and creation using ER modeling, XML and RDF. The course will review major conceptual frameworks, ontologies and metadata schemas used in libraries, archives and museums. Real-life scenarios and collections will be used to highlight and gain understanding of the issues related to metadata creation, aggregation, and reuse.