Faculty Profile

Leann Boyce

Title
Clinical Assistant Professor
Department
ADA - Advanced Data Analytics
College
University of North Texas

    

    

      


                          

            
Curriculum Vitae

            

              Click Here to View Faculty CV
            

          

        
                          

            
Education

            



  

  


  
GAC, University of North Texas, 2021. 
Major: Advanced Data Analytics
PhD, University of North Texas, 2020. 
Major: Information Science - Health Informatics
Dissertation Title: Examination of online health information seeking effectiveness:  Case studies of online health communities in COPD patients”.
MS, University of North Texas, 2016. 
Major: Information Science
Degree Specialization: Health Informatics
MA, Texas Woman's University, 2014. 
Major: Government
BGS, Texas Woman's University, 2011. 
Major: General Studies





          

        
                

          
Current Scheduled Teaching*


          
ADTA 5240.501, Harvesting, Storing and Retrieving Data, Spring 2024 Syllabus
ADTA 5250.002, Large Data Visualization, Spring 2024 Syllabus
ADTA 5250.400, Large Data Visualization, Spring 2024 Syllabus
IPAC 4240.501, Principles of Data Structures, Harvesting and Wrangling, Spring 2024 Syllabus
IPAC 4250.400, Principles of Data Visualization for Large Data, Spring 2024 Syllabus


          
*
  Texas Education Code 51.974 (HB 2504) requires each institution of
  higher education to make available to the public, a syllabus for
  undergraduate lecture courses offered for credit by the institution.
  

        

      

    

  


    

    

      


        


          


            
Previous Scheduled Teaching*


            
                    

                    ADTA 5340.002, Discovery and Learning with Big Data, Fall 2023 Syllabus SPOT
                    

                    ADTA 5250.001, Large Data Visualization, Fall 2023 Syllabus SPOT
                    

                    ADTA 5250.011, Large Data Visualization, Fall 2023 Syllabus SPOT
                    

                    ADTA 5250.501, Large Data Visualization, Fall 2023 Syllabus SPOT
                    

                    ADTA 5250.100, Large Data Visualization, Summer 8W1 2023 Syllabus SPOT
                    

                    IPAC 4250.100, Principles of Data Visualization for Large Data, Summer 8W1 2023 Syllabus SPOT
                    

                    ADTA 5250C.001, Advanced Data Visualization Tools and Techniques, Spring 4W3 2023 Syllabus
                    

                    ADTA 5250A.001, Data Visualization Foundations and Theory, Spring 4W1 2023 Syllabus
                    

                    ADTA 5250B.001, Data Visualization Strategy and Storytelling, Spring 4W2 2023 Syllabus
                    

                    ADTA 5250.002, Large Data Visualization, Spring 2023 Syllabus SPOT
                    

                    ADTA 5250.501, Large Data Visualization, Spring 2023 Syllabus SPOT
                    

                    ADTA 5250.800, Large Data Visualization, Spring 3W1 2023 Syllabus
                    

                    IPAC 4240.700, Principles of Data Structures, Harvesting and Wrangling, Spring 8W1 2023 Syllabus SPOT
                    

                    IPAC 4250.501, Principles of Data Visualization for Large Data, Spring 2023 Syllabus SPOT
                    

                    ADTA 5240.100, Harvesting, Storing and Retrieving Data, Fall 8W1 2022 Syllabus SPOT
                    

                    ADTA 5250.001, Large Data Visualization, Fall 2022 Syllabus SPOT
                    

                    ADTA 5250.501, Large Data Visualization, Fall 2022 Syllabus SPOT
                    

                    IPAC 4240.100, Principles of Data Structures, Harvesting and Wrangling, Fall 8W1 2022 Syllabus SPOT
                    

                    IPAC 4250.001, Principles of Data Visualization for Large Data, Fall 2022 Syllabus SPOT
                    

                    ADTA 5240C.001, Wrangling and Querying Data, Fall 4W4 2022 Syllabus
                    

                    IPAC 4340.700, Methods for Discovery and Learning from Data, Summer 8W1 2022 Syllabus SPOT
                    

                    ADTA 5240.001, Harvesting, Storing and Retrieving Data, Spring 2022 Syllabus SPOT
                    

                    ADTA 5250.001, Large Data Visualization, Spring 2022 Syllabus SPOT
                    

                    ADTA 5250.800, Large Data Visualization, Spring 3W1 2022 Syllabus SPOT
                    

                    IPAC 4240.700, Principles of Data Structures, Harvesting and Wrangling, Spring 8W2 2022 Syllabus SPOT
                    

                    IPAC 4250.001, Principles of Data Visualization for Large Data, Spring 2022 Syllabus SPOT
                    

                    ADTA 5340.001, Discovery and Learning with Big Data, Fall 2021 Syllabus SPOT
                    

                    ADTA 5240.001, Harvesting, Storing and Retrieving Data, Fall 2021 Syllabus SPOT
                    

                    ADTA 5240.501, Harvesting, Storing and Retrieving Data, Fall 2021 Syllabus SPOT
                    

                    CSCE 5215.002, Machine Learning, Fall 2021 Syllabus SPOT
                    

                    IPAC 4340.700, Methods for Discovery and Learning from Data, Fall 8W1 2021 Syllabus SPOT
                    

                    IPAC 4340.750, Methods for Discovery and Learning from Data, Fall 8W1 2021 Syllabus SPOT
                    

                    IPAC 4240.001, Principles of Data Structures, Harvesting and Wrangling, Fall 2021 Syllabus SPOT
                    

                    IPAC 4240.501, Principles of Data Structures, Harvesting and Wrangling, Fall 2021  SPOT
                    

                    ADTA 5340.100, Discovery and Learning with Big Data, Summer 8W2 2021 Syllabus SPOT
                    

                    ADTA 5340.126, Discovery and Learning with Big Data, Summer 8W2 2021 Syllabus SPOT
                    

                    CSCE 5215.002, Machine Learning, Summer 8W2 2021 Syllabus SPOT
                    

                    IPAC 4340.100, Methods for Discovery and Learning from Data, Summer 8W2 2021 Syllabus SPOT
                    

                    ADTA 5340.100, Discovery and Learning with Big Data, Spring 8W2 2021 Syllabus SPOT
                    

                    ADTA 5340.126, Discovery and Learning with Big Data, Spring 8W2 2021 Syllabus SPOT
                    

                    ADTA 5340.501, Discovery and Learning with Big Data, Spring 2021 Syllabus SPOT
                    

                    INFO 5000.001, Information and Knowledge Professions, Fall 2020 Syllabus SPOT
                    

                    INFO 5000.082, Information and Knowledge Professions, Spring 2020 
                    

                    INFO 5000.087, Information and Knowledge Professions, Spring 2020 

          


          
*
  Texas Education Code 51.974 (HB 2504) requires each institution of
  higher education to make available to the public, a syllabus for
  undergraduate lecture courses offered for credit by the institution.
  

        

      

    

  

  
  	

	

	  

		

		   
Published Publications



  

  
Published Intellectual Contributions


  
Journal Article
Boyce, L. K. (2024). The Role of Technology in Online Health Communities: A Study of Information-Seeking Behavior. Healthcare. 12(3), . 
Boyce, L. K., Harun, A., Prybutok, G. L., Prybutok, V. R. (2024). The Role of Technology in Online Health Communities: A Study of Information-Seeking Behavior. Healthcare. 12(3), . 
Boyce, L., Harun, A., Prybutok, G. L., Prybutok, V. R. (2021). Exploring the factors in information seeking behavior: A perspective from multinational COPD online forums". Health Promotion International. (2021), pp 1 -13. 
Boyce, L.  (2020). Assessing health information quality in a closed, non-moderated COPD Facebook group. 9, . 
Ramisetty-Mikler, S., Boyce, L.  (2020). Communicating the Risk of Contracting Zika Virus to Low Income Underserved Pregnant Latinas: A Clinic-based Study. PLOS One. 
Boyce, L., Prybutok, G. L., Oppong, J. R. (2020). Spatial Variation in COPD Mortality Rates in Texas Counties (1999 -2009). Texas Public Health Journal. 72(3), 25-30. 
Boyce, L., Prybutok, G. L. (2019). COPD Online Health Community :  Identifying Information Needs and  Sources. International Journal of Electronic Healthcare. 11(1), . 



	
		
		
	  

	

	

  
    
	

	

	  

		

		   	
		
		
	  

	

	

	
	

  
  
  

  	

		

		,  
			
				

					
					Overall
Summative Rating		
					Challenge and
Engagement Index		
					Response Rate
					
				

			
			
				

					
					
out of 5		
					
out of 7		
					%
 of 
students responded		
					
					
				

			
		


		
    
			
  • Overall Summative Rating (median):
    
			This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
				
      
					
    • The course as a whole was
      • 
					
    • The course content was
      • 
					
    • The instructor’s contribution to the course was
      • 
					
    • The instructor’s effectiveness in teaching the subject matter was
      • 
				
    
			
    • 
			
  • Challenge and Engagement Index:
    
			This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
				
      
					
    • Do you expect your grade in this course to be
      • 
					
    • The intellectual challenge presented was
      • 
					
    • The amount of effort you put into this course was
      • 
					
    • The amount of effort to succeed in this course was
      • 
					
    • Your involvement in course (doing assignments, attending classes, etc.) was
      • 
				
    
			
    • 
		

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