Wednesday, 26 November 2025



M Z U Z U  U N I V E R S I T Y

Department of Information Sciences

Faculty of Humanities and Social Sciences


Masters of Library and Information

Course                        :           Information Behaviour and Literacy Education

Course Code              :           MLIS

Assignment                :           4

Cohort                        :           7

Semester                    :           9

Instructor                  :           Prof. Winner Chawinga

Weight of project      :           5 out of 100

Date issued                :           26th December, 2025

Due date                     :           4th December, 2025


Task

Information Literacy CompetencyStandards for Higher Education by the Association of College and Research Libraries serve as guidelines or framework for faculty, librarians, and others in developing local methods for measuring student learning in the context of an institution’s unique mission.

Contextualise these standards to the students doing the following programmes:

 

    i.        Bachelor of Nursing and Midwifery                :        Group 1

   ii.        Bachelor of Communication and Information Technology:     Group 2

 iii.        Bachelor of Library and Information Science:       Group 3

 iv.        Bachelor of Theology and Religious Studies    :        Group 4

   v.        Bachelor of Fisheries and Aquatic Sciences     :        Group 5

Instructions:

Choose a level of your choice because this will have implications when instruction/requirement on slide 7.

Slides 1 – 2           :       Brief discussion of the characteristics of the                                                              students 

 Slide 3 and 6        :      Applying the competence standards focusing on                                                       standards,   performance indicators, and outcomes

Slide 7                  :     Discussion of the standards that are very critical for                                                  these particular students and why?

Slide 8                  :     Evidence in form of a screenshot about the online                                                    participation of  all  group members 

You will make the presentation during the lecture of 4th December, 2025 at 2 pm. You will upload the presentation on your individual blogs immediately after the presentation.  

Distribution of the groups




For queries, email:  chawinga.w@mzuni.ac.mw



Thursday, 6 November 2025

 

                                               Mzuzu University

                                Department of Information Sciences 

                               Faculty of Humanities and Social Sciences 


Masters of Library and Information

Course                :        Information Behaviour and Literacy Education

Course Code       :        MLIS

Assignment        :        3

Cohort                :        7

Semester            :        9

Instructor           :        Prof. Winner Chawinga

Weight of project :        20 out of 100

Date issued         :        6th November, 2025

Due date            :        13th November, 2025  

Task

Research and prepare a presentation on the following Information Behaviour models:

    1.  Second Wilson Model   :        Group 1   

   2. Krikelas Model            :        Group 2

       3. Ellis Model                  :        Group 3

   4. Kulthau Model            :        Group 4

      5. Leckie Model               :        Group 5

    6. First Wilson Model       :      Group 6        

                      

Instructions:

Slide 1                   :         Conceptualisation/history of the Model

Slides 2 – 4            :         Elements/composition of the model including                                                     conceptual/diagram representation

Slide 5 and 6         :         Applying the Model to users in online information                                             environment

Slide 7                   :         From your personal perspective, identify two gaps                                              in the models for online information environment                                       and a recommendation on how to address each gap.

       Slide 8:  Proof of participation by members of the group: - a screenshots of                           online meetings 

You will make the presentation during the lecture of 13th November, 2025 at 2 pm. 

Each group member should upload the presentation on their blog immediately after the presentation. 


Distribution of the groups 


For queries, email:  chawinga.w@mzuni.ac.mw

Wednesday, 5 November 2025

 

Mzuzu University 

                                      Department of Information Sciences 

                         Faculty of Humanities and Social Sciences 

             Course                        :           Information Behaviour and Literacy Education

            Course Code              :           MLIS

            Assignment                :           2

            Cohort                        :           7

            Semester                    :           9

            Instructor                  :           Prof. Winner Chawinga

           Weight of project      :           50 out of 100

           Date issued                :           5th November, 2025

           Due date                     :           Reading week of Semester 9

TASK

·       Create your blog at https://www.blogger.com/about/  by Thursday class of 6th November, 2025.

·       The Course Facilitator for Management Information Systems should be able to teach you some basic skills for blogging – otherwise, you can use YouTube to lean on your own as this does not require any coding or complex skills.

·       Post a summary of every lecture of each week by mid night of every Tuesday preceding the lecture.

·       The summary should not be less than 300 words and not more than 500 words. In addition to text, use at least one relevant video and image to add more meaning to your summary.

·       Write as academically as possible – no need for references but you can include relevant links to other sources.  

·       Whenever I am unable to teach you in a particular week, I will be sharing with you the topics to read and summarise for your posting.

·       Share the link of your blog with me by tagging my blog: https://wchawinga.blogspot.com/

 

For queries, email:  chawinga.w@mzuni.ac.mw




Sunday, 5 May 2019




COURSE DETAILS

Programme      :           Masters of Library and Information
Course             :           Data Curation
Course Code   :           MLIS 6204
Semester          :           April –July, 2019
Lesson             :           One
Date                :           Monday, 6th April, 2019
Time                :           8am to 11 am
Venue              :           LIS House 2
COURSE LECTURER
Winner Chawinga (PhD student)
University of the Western Cape
South Africa

AIM OF LESSON
·      Understand and apply the concept of Data Curation
Expected outcomes
·         Students to discuss historical perspectives of data curation in relation to advancement of ICTs
·         Student discuss the contributing factors from digital preservation to data curation
·         Students to articulate various terms that are relevant to the concept of data curation as  conceptualised by various authors 

A         ACTIVITY 

Students are required to read the following articles in preparation for the lesson:

Key recourse (must read before class time)

Higgins, S. (2011). Digital curation: the emergence of a new discipline. The International Journal of          Digital Curation, 2(6):78-88. http://dx.doi.org/10.2218/ijdc.v6i2.191

Additional resources

Constantopoulos, P., Dallas, C., Androutsopoulos, I., Angelis, S., Deligiannakis, A., Gavrilis,       D.,          &  Papatheodorou, C. (2009). DCC&U: An extended digital curation lifecycle model.                           International Journal of Digital Curation, 4(1):34-45. http://dx.doi.org/10.2218/ijdc.v4i1.76

Gordon-Murnane, L. (2012). Big data: A big opportunity for librarians. Online, 36(5):30-34

Noonan, D., & Chute, T. (2014). Data curation and the university archives. American  Archivist,                 77(1):201-240. https://doi.org/10.17723/aarc.77.1.m49r46526847g587

Walters, T., & Skinner, K. (2011). New roles for new times: Digital curation for preservation.                     Washington, DC: Association of Research Libraries. Retrieved from                                                       http://files.eric.ed.gov/fulltext/ED527702.pdf(Accessed November 12, 2017).



Monday, 19 November 2018



Masters of Library and Information
Course: Information Behaviour
Course Code: MLIS 6102
Semester long assignment/project
Weight of project: 60

Aim of assignment
·      To carry out an empirical study on “Library research support services in Malawi: Perspectives from senior library staff” 
·      Students to independently carry out research in their research areas of interest.

Expected outcomes

·         Students to write a short proposal; consisting all parts of a proposal as follows: 
o   Introduction (conceptual and contextual)
o   Preliminary literature review
o   Problem statement
o   Research objectives
o   Significance of the study
o   Methodology
·         Students to present a proposal to members in the LIS Department
·         Develop data collection instrument
·         Collect data
·         Analyse data
·         Write an academic paper from the findings
·         Present the findings to members in the LIS Department
·         Choose a journal for publishing the paper
·         Submit the paper for publication

Resources to read

Students to read the following articles to familiarise themselves with the topic under study.
Coombs, J., Thomas, M., Rush, N., & Martin, E. (2017). A Community of Practice approach         to delivering research support services in a post-92 Higher Education Institution: A         reflective case study. New Review of Academic Librarianship23(2-3), 159-170.
Sheffield, M. (2017). Research Support Services in Agriculture at Clemson University:      Survey Results From Faculty With Implications for Library Services. Journal of      Agricultural & Food Information18(3-4), 189-199
Meadows, K. N., Berg, S., Hoffmann, K., Martin Gardiner, M., & Torabi, N. (2013). A    needs-driven and responsive approach to supporting the research endeavours of          academic librarians. Partnership: The Canadian Journal of Library and Information           Practice and Research8(2).
Keller, A. (2015). Research support in Australian university libraries: An outsider   view. Australian academic & research libraries46(2), 73-85.
Johnson, L. M., Butler, J. T., & Johnston, L. R. (2012). Developing e-science and research            services and support at the University of Minnesota Health Sciences        Libraries. Journal of library administration52(8), 754-769.
Haddow, G., & Mamtora, J. (2017). Research support in Australian academic libraries:      Services, resources, and relationships. New Review of Academic Librarianship23(2-     3), 89-109.
Cox, J. (2017). New directions for academic libraries in research staffing: A case study at National University of Ireland Galway. New Review of Academic Librarianship23(2-   3), 110-124.
Coombs, J., Thomas, M., Rush, N., & Martin, E. (2017). A Community of Practice approach         to delivering research support services in a post-92 Higher Education Institution: A         reflective case study. New Review of Academic Librarianship23(2-3), 159-170.
Brown, S., Alvey, E., Danilova, E., Morgan, H., & Thomas, A. (2018). Evolution of Research      Support Services at an Academic Library: Specialist Knowledge Linked by Core     Infrastructure. New Review of Academic Librarianship, 1-12.
Visintini, S., Boutet, M., Manley, A., & Helwig, M. (2018). Research Support in Health    Sciences Libraries: A Scoping Review. Journal of the Canadian Health Libraries          Association/Journal de l'Association des bibliothèques de la santé du Canada39(2),   56-78.
Sitnicki, M. (2018). DEVELOPMENT OF A MODEL OF DIGITAL RESEARCH             UNIVERSITIES. Baltic Journal of Economic Studies4(1), 311-318.


Saturday, 3 November 2018




Master of Library and Information Science 


Course: Information Behaviour
Course Code: MLIS6102
Date: 5th November, 2018

Aim of lesson
Demonstrate sufficient grasp of theories and models of information behaviour across information science and human interaction

Expected outcomes
·         Students to discuss the concept of a model as applied in information behaviour
·         Students to discuss and reflect on five of the most-cited general models of information seeking as follows:
o   Wilson First Model
o   Wilson Second Model
o   Leckie Model
o   Dervin Model
o   Kulthau Model 
o   The Ellis Model
Activity
Students are required to read the following articles in preparation for the lesson:
Amanda, S. (2010). Information behaviour: An evolutionary instinct. Springer:
            London. (Students to read Chapter Three)
Wilson, T. D. (1999). Models in information behaviour research. Journal of            documentation55(3), 249-270. Note: this is the key resource.
Wilson, T. D. (2000). Human information behavior. Informing science3(2), 49-56.

Note: Students can request handout after class by sending an email (winnchawinga@gmail.com) or Twitter