Faculty Profile

Rodney Nielsen

Title
Associate Professor
Department
Computer Science and Engineering
College
College of Engineering

    

    

      


                          

            
Curriculum Vitae

            

              Click Here to View Faculty CV
            

          

        
                          

            
Education

            



  

  


  
PhD, University of Colorado at Boulder, 2008. 
Major: Cognitive Science
PhD, University of Colorado at Boulder, 2008. 
Major: Computer Science
MS, University of Colorado at Boulder, 2005. 
Major: Computer Science
BA, Minot State University, 1986. 
Major: Mathematics
BS, Minot State University, 1986. 
Major: Computer Science





          

        
                

          
Current Scheduled Teaching*


          
CSCE 6950.812, Doctoral Dissertation, Fall 2021 
CSCE 6940.812, Individual Research, Fall 2021 


          
*
  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*


            
                    

                    CSCE 6950.912, Doctoral Dissertation, Spring 2021 
                    

                    INFO 6950.714, Doctoral Dissertation, Spring 2021 
                    

                    CSCE 5210.001, Fundamentals of Artificial Intelligence, Spring 2021 Syllabus SPOT
                    

                    CSCE 5210.008, Fundamentals of Artificial Intelligence, Spring 2021 Syllabus SPOT
                    

                    CSCE 6940.912, Individual Research, Spring 2021 
                    

                    CSCE 4201.001, Introduction to Artificial Intelligence, Spring 2021 Syllabus SPOT
                    

                    CSCE 6950.812, Doctoral Dissertation, Fall 2020 
                    

                    INFO 6950.711, Doctoral Dissertation, Fall 2020 
                    

                    CSCE 6940.812, Individual Research, Fall 2020 
                    

                    CSCE 5300.002, Introduction to Big Data and Data Science, Fall 2020  SPOT
                    

                    CSCE 5300.008, Introduction to Big Data and Data Science, Fall 2020 
                    

                    CSCE 5215.001, Machine Learning, Fall 2020  SPOT
                    

                    CSCE 5215.008, Machine Learning, Fall 2020 
                    

                    CSCE 5215.600, Machine Learning, Fall 2020  SPOT
                    

                    CSCE 6950.912, Doctoral Dissertation, Spring 2020 
                    

                    CSCE 6940.912, Individual Research, Spring 2020 
                    

                    CSCE 6940.912, Individual Research, Spring 8W2 2020 
                    

                    CSCE 4201.001, Introduction to Artificial Intelligence, Spring 2020 Syllabus
                    

                    INFO 6660.007, Readings in Information Science, Spring 2020 
                    

                    CSCE 6950.812, Doctoral Dissertation, Fall 2019 
                    

                    CSCE 6940.812, Individual Research, Fall 2019 
                    

                    CSCE 2900.812, Special Problems in Computer Science and Engineering, Fall 2019 
                    

                    CSCE 4950.812, Special Problems in Computer Science and Engineering, Fall 2019 
                    

                    CSCE 6940.812, Individual Research, Summer 10W 2019 
                    

                    CSCE 4950.812, Special Problems in Computer Science and Engineering, Summer 10W 2019 
                    

                    CSCE 5210.001, Artificial Intelligence, Spring 2019  SPOT
                    

                    CSCE 6950.812, Doctoral Dissertation, Spring 2019 
                    

                    CSCE 6940.812, Individual Research, Spring 2019 
                    

                    CSCE 6940.812, Individual Research, Spring 8W2 2019 
                    

                    CSCE 4310.001, Introduction to Artificial Intelligence, Spring 2019 Syllabus SPOT
                    

                    CSCE 2900.812, Special Problems in Computer Science and Engineering, Spring 2019 
                    

                    CSCE 4950.812, Special Problems in Computer Science and Engineering, Spring 2019 
                    

                    CSCE 6950.812, Doctoral Dissertation, Fall 2018 
                    

                    CSCE 6940.812, Individual Research, Fall 2018 
                    

                    CSCE 5215.001, Machine Learning, Fall 2018  SPOT
                    

                    CSCE 2900.812, Special Problems in Computer Science and Engineering, Fall 2018 
                    

                    CSCE 4950.812, Special Problems in Computer Science and Engineering, Fall 2018 
                    

                    CSCE 4930.002, Topics in Computer Science and Engineering, Fall 2018 Syllabus SPOT
                    

                    CSCE 6950.812, Doctoral Dissertation, Summer 10W 2018 
                    

                    CSCE 2900.812, Special Problems in Computer Science and Engineering, Summer 10W 2018 
                    

                    CSCE 5210.001, Artificial Intelligence, Spring 2018  SPOT
                    

                    CSCE 5934.812, Directed Study, Spring 2018 
                    

                    CSCE 6950.812, Doctoral Dissertation, Spring 2018 
                    

                    CSCE 6940.812, Individual Research, Spring 2018 
                    

                    CSCE 4310.001, Introduction to Artificial Intelligence, Spring 2018 Syllabus SPOT
                    

                    CSCE 5300.501, Introduction to Big Data and Data Science, Spring 8W2 2018 
                    

                    CSCE 5215.501, Machine Learning, Spring 8W1 2018 
                    

                    CSCE 2900.812, Special Problems in Computer Science and Engineering, Spring 2018 
                    

                    CSCE 6950.812, Doctoral Dissertation, Fall 2017 
                    

                    CSCE 6940.812, Individual Research, Fall 2017 
                    

                    CSCE 5215.001, Machine Learning, Fall 2017  SPOT
                    

                    CSCE 5215.600, Machine Learning, Fall 2017  SPOT
                    

                    CSCE 5950.812, Master's Thesis, Fall 2017 
                    

                    CSCE 2900.812, Special Problems in Computer Science and Engineering, Fall 2017 
                    

                    CSCE 4930.002, Topics in Computer Science and Engineering, Fall 2017 Syllabus SPOT
                    

                    CSCE 2900.812, Special Problems in Computer Science and Engineering, Summer 10W 2017 
                    

                    CSCE 5210.001, Artificial Intelligence, Spring 2017  SPOT
                    

                    CSCE 6950.812, Doctoral Dissertation, Spring 2017 
                    

                    CSCE 4310.001, Introduction to Artificial Intelligence, Spring 2017 Syllabus SPOT
                    

                    CSCE 5950.812, Master's Thesis, Spring 2017 
                    

                    CSCE 2900.812, Special Problems in Computer Science and Engineering, Spring 2017 
                    

                    CSCE 5934.812, Directed Study, Fall 2016 
                    

                    CSCE 6950.812, Doctoral Dissertation, Fall 2016 
                    

                    CSCE 6940.812, Individual Research, Fall 2016 
                    

                    CSCE 5950.812, Master's Thesis, Fall 2016 
                    

                    CSCE 5933.001, Topics in Computer Science and Engineering, Fall 2016  SPOT
                    

                    CSCE 6950.812, Doctoral Dissertation, Summer 10W 2016 
                    

                    CSCE 6940.812, Individual Research, Summer 10W 2016 
                    

                    CSCE 5950.812, Master's Thesis, Summer 5W2 2016 
                    

                    CSCE 2900.812, Special Problems in Computer Science and Engineering, Summer 10W 2016 
                    

                    CSCE 6950.812, Doctoral Dissertation, Spring 2016 
                    

                    CSCE 6940.812, Individual Research, Spring 2016 
                    

                    CSCE 5950.812, Master's Thesis, Spring 2016 
                    

                    CSCE 4930.004, Topics in Computer Science and Engineering, Spring 2016 Syllabus SPOT
                    

                    CSCE 5380.001, Data Mining, Fall 2015  SPOT
                    

                    CSCE 5934.812, Directed Study, Fall 2015 
                    

                    CSCE 6950.812, Doctoral Dissertation, Fall 2015 
                    

                    CSCE 6940.812, Individual Research, Fall 2015 
                    

                    CSCE 5950.812, Master's Thesis, Fall 2015 
                    

                    CSCE 4999.812, Senior Thesis, Fall 2015 
                    

                    CSCE 2900.812, Special Problems in Computer Science and Engineering, Summer 10W 2015 
                    

                    CSCE 6290.001, Advanced Topics in Human/Machine Intelligence, Spring 2015 
                    

                    CSCE 5934.812, Directed Study, Spring 2015 
                    

                    CSCE 6950.812, Doctoral Dissertation, Spring 2015 
                    

                    CSCE 6940.812, Individual Research, Spring 2015 
                    

                    CSCE 5950.812, Master's Thesis, Spring 2015 
                    

                    CSCE 6290.001, Advanced Topics in Human/Machine Intelligence, Fall 2014 
                    

                    CSCE 6940.812, Individual Research, Fall 2014 
                    

                    CSCE 5950.812, Master's Thesis, Fall 2014 
                    

                    CSCE 5934.812, Directed Study, Summer 10W 2014 
                    

                    CSCE 2900.812, Special Problems in Computer Science and Engineering, Summer 10W 2014 
                    

                    CSCE 5934.812, Directed Study, Spring 2014 
                    

                    CSCE 6940.812, Individual Research, Spring 2014 
                    

                    CSCE 5950.812, Master's Thesis, Spring 2014 
                    

                    CSCE 2900.812, Special Problems in Computer Science and Engineering, Spring 2014 
                    

                    CSCE 6933.003, Advanced Topics in Computer Science and Engineering, Fall 2013 
                    

                    CSCE 1040.002, Computer Science II, Fall 2013 Syllabus
                    

                    CSCE 6940.812, Individual Research, Fall 2013 
                    

                    CSCE 6933.006, Advanced Topics in Computer Science and Engineering, Spring 2013 
                    

                    CSCE 4890.812, Directed Study, Spring 2013 
                    

                    CSCE 6940.812, Individual Research, Spring 2013 
                    

                    CSCE 5290.001, Natural Language Processing, Fall 2012 

          


          
*
  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


  
Book Chapter
Mihalcea, R. F., Nielsen, R. D. (2015). Natural language processing in learning environments. The SAGE Encyclopedia of Educational Technology. 534--536.  Thousand Oaks, California: SAGE Publications, Inc.. 
Conference Proceeding
Aiken, B., Kelly, J., Palmer, A. M., Polat, S. O., Kasicheyanula, T., Nielsen, R. D. (2019). Sigmorphon 2019 Task 2 system description paper: Morphological analysis in context for many languages, with supervision from only a few. https://www.aclweb.org/anthology/W19-4211.pdf
Parde, N., Nielsen, R. D. (2019). AI Meets Austen: Towards Human-Robot Discussions of Literary Metaphor. Proceedings of the Twentieth International Conference on Artificial Intelligence in Education. 7.  Menlo Park, California: The Association for the Advancement of Artificial Intelligence Press, (AAAI Press). 
Parde, N., Nielsen, R. D. (2018). Automatically Generating Questions about Novel Metaphors in Literature. Proceedings of the Eleventh International Natural Language Generation Conference (INLG2018). 264--273.  Tilburg: Association for Computational Linguistics (ACL). http://aclweb.org/anthology/W18-6533
Parde, N., Nielsen, R. D. (2018). Reading with Robots: Promoting Cognitive Exercise in Elderly Populations through Embodied Conversational Dialogue. The 2018 Connections in Smart Health Workshop. 1--.  Arlington, VA: NSF. 
Alshammari, S., Nielsen, R. D. (2018). Less is More: With 280-character limit, Twitter Provides a Valuable Source for Detecting Self-reported Flu Cases. The International Conference Proceedings Series by ACM: Proceedings of the 2018 International Conference on Computing and Big Data  (ICCBD 2018). 1--6.  New York, NY: Association for Computing Machinery (ACM). https://dl.acm.org/citation.cfm?id=3277105
Nielsen, R. D. (2018). Machine Learning for Digital Library Applications. Proceedings of the 18th ACM/IEEE Joint Conference on Digital                Libraries (JCDL 2018), Fort Worth, TX, USA, June 03-07, 2018. 421--422.  New York, NY: Association for Computing Machinery (ACM). https://doi.org/10.1145/3197026.3201780
Parde, N., Nielsen, R. D. (2018). Detecting Sarcasm is Extremely Easy ;-). Proceedings of the Workshop on Computational Semantics beyond Events and Roles (SemBEaR-2018), New Orleans, Louisiana, June 5, 2018. 21--26.  Stroudsburg, Pennsylvania: Association for Computational Linguistics (ACL). http://aclweb.org/anthology/W18-1303
Bulgarov, F., Nielsen, R. D. (2018). Proposition entailment in educational applications using deep neural networks. Proceedings of the Thirty-Second Association for the Advancement of Artificial Intelligence Conference on Artificial Intelligence (AAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018. 5045--5052.  Menlo Park, California: The Association for the Advancement of Artificial Intelligence Press, (AAAI Press). https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/download/17170/16785
Parde, N., Nielsen, R. D. (2018). Exploring the terrain of metaphor novelty: A regression-based approach for automatically scoring metaphors. Proceedings of the Thirty-Second Association for the Advancement of Artificial Intelligence Conference on Artificial Intelligence (AAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018. 5366--5373.  Menlo Park, California: The Association for the Advancement of Artificial Intelligence Press, (AAAI Press). https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/download/16120/16089
Bulgarov, F., Nielsen, R. D. (2018). Proposition Entailment in Educational Applications Using Deep Neural Networks. The Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18) student papers track, New Orleans, Louisiana, USA, February 2-7, 2018. 2.  Menlo Park, California: The Association for the Advancement of Artificial Intelligence Press, (AAAI Press). 
Parde, N., Nielsen, R. D. (2018). Reading with Robots: Towards a Human-Robot Book Discussion System for Elderly Adults. Proceedings of The Twenty-Third AAAI/SIGAI Doctoral Consortium, New Orleans, Louisiana, USA, February 2-7, 2018. 8030--8031.  Menlo Park, California: The Association for the Advancement of Artificial Intelligence Press, (AAAI Press). 
Narouei, M., Khanpour, H., Takabi, H., Parde, N., Nielsen, R. D. (2017). Towards a top-down policy engineering framework for attribute-based access control. Proceedings of the 22nd ACM on Symposium on Access Control Models and Technologies. 103--114. 
Salma, N., Mai, B., Namuduri, K., Mamun, R., Hashem, Y., Takabi, H., Parde, N., Nielsen, R. D. (2017). Using EEG Signal to Analyze IS Decision Making Cognitive Processes. NeuroIS 2017. 
Hashem, Y., Takabi, H., Dantu, R., Nielsen, R. D. (2017). A multi-modal neuro-physiological study of malicious insider threats. Proceedings of the 9th ACM Conference on Computer and Communications Security (CCS) International Workshop on Managing Insider Security Threats. 33--44.  New York, New York: Association for Computing Machinery (ACM). http://doi.acm.org/10.1145/3139923.3139930
Parde, N., Nielsen, R. D. (2017). Finding patterns in noisy crowds: Regression-based annotation aggregation for crowdsourced data. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. 1907--1912.  Copenhagen, Denmark: Association for Computational Linguistics (ACL). https://www.aclweb.org/anthology/D17-1204
Madala, K., Gaither, D. C., Nielsen, R. D., Do, H.  (2017). Automated Identification of Component State Transition Model Elements from Requirements. Proceedings of the 2017 IEEE 25th International Requirements Engineering Conference Workshops (REW), 4th International Workshop on Artificial Intelligence for Requirements (AIRE). 386--392. Institute of Electrical and Electronics Engineers (IEEE). 
Narouei, M., Khanpour, H., Takabi, H., Parde, N., Nielsen, R. D. (2017). Towards a top-down policy engineering framework for attribute-based access control. Proceedings of the 22nd ACM on Symposium on Access Control Models and Technologies (SACMAT 2017). 103--114.  New York, New York: Association for Computing Machinery (ACM). 
Salma, N., Mai, B., Namuduri, K., Mamun, R., Hashem, Y., Takabi, H., Parde, N., Nielsen, R. D. (2017). Using EEG signal to analyze IS decision making cognitive processes. Proceedings of the Gmunden Retreat on NeuroIS 2017. 195--202.  Winner of the Dr. Hermann Zemlicka Award for the most visionary paper:. 
Bulgarov, F., Nielsen, R. D. (2017). Minimal meaningful propositions alignment in student response comparisons. Proceedings of the Eighteenth International Conference on Artificial Intelligence in Education (AIED 2017). 472--475. 
Parde, N., Nielsen, R. D. (2017). #SarcasmDetection is soooo general! Towards a Domain-Independent Approach for Detecting Sarcasm. The Proceedings of the Thirtieth International Artificial Intelligence Researchers Society Conference (FLAIRS-17), Marco Island, Florida, May 22-24, 2017. 276--281.  Menlo Park, California: The Association for the Advancement of Artificial Intelligence Press, (AAAI Press). https://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS17/paper/view/15421/14939
Godea, A., Bulgarov, F. A., Nielsen, R. D. (2016). Automatic generation and classification of minimal meaningful propositions in educational systems. Proceedings of the 26th International Conference on Computational Linguistics (CoLING 2016). 3226--3236. 
Khanpour, H., Guntakandla, N., Nielsen, R. D. (2016). Dialogue act classification in domain-independent conversations using a deep recurrent Neural network. Proceedings of the 26th International Conference on Computational Linguistics (CoLING 2016). 2012--2021. 
Parde, N., Hair, A., Papakostas, M., Tsiakas, K., Dagioglou, M., Karkaletsis, V., Nielsen, R. D. (2015). Grounding the meaning of words through vision and interactive gameplay. Proceedings of the Twenty Fourth International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina, July 25-31, 2015. 1895--1901.  Menlo Park, California: The Association for the Advancement of Artificial Intelligence Press, (AAAI Press). https://www.ijcai.org/Proceedings/15/Papers/269.pdf
Papakostas, M., Tsiakas, K., Parde, N., Makedon, F., Karkaletsis, V., Nielsen, R. D. (2015). An Interactive Framework for Learning User-Object Associations through Human-Robot Interaction. Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments, Corfu, Greece, July 1-3, 2015. 13:1--8.  New York, NY: The Association for Computing Machinery (ACM). 
Mazidi, K. J., Nielsen, R. D. (2015). Leveraging multiple views of text for automatic question generation. Proceedings of the Seventeenth International Conference on Artificial Intelligence in Education (AIED 2015). 257--266. 
Guntakandla, N., Nielsen, R. D. (2015). Modelling turn-taking in human conversations. Proceedings of the Association for the Advancement of Artificial Intelligence (AAAI) Spring Symposium on Turn-Taking and Coordination in Human-Machine Interaction (AAAI SSS-15). The Association for the Advancement of Artificial Intelligence Press, (AAAI Press), Menlo Park, California, USA. 
Parde, N., Papakostas, M., Tsiakas, K., Nielsen, R. D. (2015). "Is it rectangular?" Using I Spy as an interactive, game-based approach to multimodal robot learning. Proceedings of the Twenty Ninth Association for the Advancement of Artificial Intelligence Conference (AAAI-15) Student Abstract and Poster Program. 4190--4191. The Association for the Advancement of Artificial Intelligence Press, (AAAI Press), Menlo Park, California. 
Parde, N., Papakostas, M., Tsiakas, K., Dagioglou, M., Karkaletsis, V., Nielsen, R. D. (2015). I Spy: An interactive game-based approach to multimodal robot learning.. Proceedings of the Association for the Advancement of Artificial Intelligence (AAAI-15) Conference Workshop on Knowledge, Skill, and Behavior Transfer in Autonomous Robots. 35--41. The Association for the Advancement of Artificial Intelligence Press, (AAAI Press), Menlo Park, California. 
Journal Article
Talbot III, R. M., Wylie, R., Dutilly, E., Nielsen, R. D. (2018). The Relationship between Format and Cognitive Depth of Science Teacher-Generated Questions. Research in the Schools. 35--46. 
Narouei, M., Takabi, H., Nielsen, R. D. (2018). Automatic extraction of access control policies from natural language documents. IEEE Transactions on Dependable and Secure Computing. 9. Institute of Electrical and Electronics Engineers (IEEE). https://ieeexplore.ieee.org/document/8323229
Dzikovska, M. O., Nielsen, R. D., Leacock, C.  (2016). The joint student response analysis and recognizing textual entailment challenge: making sense of student responses in educational applications. Other. 50(1), 67--93. Springer, Netherlands. http://dx.doi.org/10.1007/s10579-015-9313-8
Anderson, H. D., Pace, W. D., Brandt, E., Nielsen, R. D., Allen, R. R., Libby, A. M., West, D. R., Valuck, R. J. (2015). Monitoring suicidal patients in primary care using electronic health records. Other. 28(1), 65--71. Am Board Family Med. 
Solomon, J. W., Nielsen, R. D. (2015). Predicting changes in systolic blood pressure using longitudinal patient records. Other. 58, S197--S202. Elsevier. 
Poster
Parde, N., Nielsen, R. D. (2017). Reading with Robots: Towards an Intelligent Reading Companion that Promotes Cognitive Exercise in Older Adults. Peer Reviewed Poster at the 2017 Dallas Aging and Cognition Conference. Dallas, Texas, January 29-30, 2017. 
Parde, N., Nielsen, R. D. (2016). Getting to the Heart of Metaphors: Dependency-based Detection of Metaphoric Juxtapositions. Poster at the 2016 CRA Women Graduate Cohort Workshop, San Diego, California, USA, April 15-16, 2016. 
Parde, N., Nielsen, R. D. (2015). An exploration in teaching robots through “I Spy” gameplay. The 2015 CRA-W Graduate Cohort Workshop, San Francisco, California, USA, April 10-11, 2015.  Washington, DC: Computing Research Association. 



	
		
		
	  

	

	

  
    
	

	

	  

		

		   
Awarded Grants



  
  
  	  
          
Contracts, Grants and Sponsored Research  

 	 
	 	 
  
Contract   
Nielsen, R. D. (Principal), 1, P. (Other), 2, P. (Other), "Data Science Consulting," Sponsored by Large Communications Company, International, $125000 Funded. (August 2019 – January 2021).
Nielsen, R. D. (Principal), "Visuomotor integration and attention in Autism Spectrum Disorder," Sponsored by NIH, Federal, $17500 Funded. (September 1, 2019 – May 2020).
Nielsen, R. D. (Principal), ""Expanding DARTNet to Conduct a Comparative Effectiveness Study on Major Depression", sub to CU-Boulder for computational semantics to detect mentions and severity of depression and suicide," Sponsored by (AHRQ to) UCD-Health Science Center, Federal, $45142 Funded. (2010 – 2011).
Fellowship   
Parde, N. (Other), Nielsen, R. D. (Supporting), "NSF Graduate Research Fellowship Program: Building a better agent: The next generation of teachable-agent technology," Sponsored by National Science Foundation, Federal, $132000 Funded. (2014 – 2018).
Grant - Research   
Miller, H. L. (Principal), Nielsen, R. D. (Supporting), "Visuomotor Integration and Attention in Autism Spectrum Disorder," Sponsored by NIH - NIMH, Federal, $942855 Funded. (July 1, 2017 – June 30, 2022).
Miller, H. L. (Principal), Nielsen, R. D. (Co-Principal), "Preliminary Assessment of Visuomotor Profiles in Hispanic Children with Autism," Sponsored by NIH - NIMHD, Federal, $30000 Funded. (October 1, 2018 – September 30, 2019).
Nielsen, R. D. (Principal), "IIS-1262860, Collaborative Research: Companionbots for Proactive Therapeutic Dialog on Depression," Sponsored by NSF, Federal, $1118752 Funded. (September 1, 2011 – August 31, 2016).
Nielsen, R. D. (Principal), Chi, M. (Co-Principal), Talbot, R., "R305A120808, Comprehension SEEDING: Comprehension through Self-Explanation, Enriched Discussion, and INquiry Generation," Sponsored by Institute of Education Sciences, Department of Education, Federal, $1459275 Funded. (July 1, 2011 – June 30, 2016).
Nielsen, R. D. (Other), "MiPACQ: Multi-source Integrated Platform for Answering Clinical Questions," Sponsored by NIH, Federal, $1000000 Funded. (2009 – 2011).
Nielsen, R. D. (Other), "Improving Science Learning Through Tutorial Dialogs," Sponsored by IES, Federal, $3100000 Funded. (2007 – 2011).
Sponsored Research   
Nielsen, R. D. (Supporting), "Extracting mineral rights from leases," Sponsored by Lease Analytics, Private, $50000 Funded. (July 1, 2017 – December 31, 2019).
Specter, M. (Principal), Nielsen, R. D. (Co-Principal), "Inquiry and Critical Thinking Apps," Sponsored by NetDragon, Private, $49603.64 Funded. (2017 – 2019).



	
		
		
	  

	

	

	
	

  
  
  

  	

		

		,  
			
				

					
					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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