Technology Enhanced Learning

Technology Enhanced Learning

Technology-Enhanced Learning (TEL)---also referred to Educational Technolgoy---is increasingly becoming mainstream, and fundamentally involves the use of Information and Communication Technologies (ICTs) in educational settings. TEL broadly involves the integration of hardware and software tools and services aimed at facilitating effective teaching and learning.

TEL involves so many facets, however, our focus is largely centred around how TEL tools and services can be designed, implemented and deployed to ensure their effective integration into educational settings. With our focus on Data Mining, we also explore the sub-field referred to as Learning Analytics.

Project Members

Postgraduate Student
MA Library and Information Science
Undergraduate Student
BA Library and Information Science
Undergraduate Student
BA Library and Information Science
Undergraduate Student
BA Library and Information Science
Undergraduate Student
BA Library and Information Science
Undergraduate Student
BA Library and Information Science
Undergraduate Student
BA Library and Information Science
Undergraduate Student
BA Library and Information Science
Undergraduate Student
BA Library and Information Science
Undergraduate Student
BA Library and Information Science
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education

Technology Enhanced Learning Publications

2022
Chanda, Mulenga, Elizabeth Chirwa, Mirriam Kamanga, Mwenya Kayula, and Lighton Phiri. 2022. “Factors Influencing Co-Creation Of Open Education Resources Using Learning Object Repositories”. In 14Th International Conference On Computer Supported Education (Csedu 2022), 405-412. SciTePress. doi:10.5220/0011090300003182.
More Info.
2021
Chaibela, Mutune, Ivy Chisha, David Pungwa, Danny Siabbaba, Bydon Simukoko, and Lighton Phiri. 2021. “Performance Predictor: A Data Mining And Machine Learning Software For Student Performance Outcomes”. Lusaka, Zambia: The University of Zambia. http://lis.unza.zm/archive/handle/123456789/90.
More Info.
Lubinda, Inutu, Matthews Lungu, Hockings Mambwe, Jefferson Ndhlovu, Lewis Ntembeni, and Lighton Phiri. 2021. “Authoring And Usage Of Useful And Usable Oer Reusable Orchestration Appliances”. Lusaka, Zambia: The University of Zambia. http://lis.unza.zm/archive/handle/123456789/111.
More Info.
Chengo, Mapoma, Macmillan Hamamba, Moses Mubanga, Mwangala Nzila, Musa Simfukwe, and Lighton Phiri. 2021. “Investigating And Comparison Of Affordances On Popular Open Source Learning Management Systems And Undergraduate Students Usability Evaluation Of Moodle At The University Of Zambia”. Lusaka, Zambia: The University of Zambia. http://lis.unza.zm/archive/handle/123456789/118.
More Info.
2020
Chanda, Mulenga, Elizabeth Chirwa, Mirriam Kamanga, Mwenya Kayula, and Lighton Phiri. 2020. “Investigating The Use Of Learning Object Repositories In The Co-Creation Of Open Educational Resources By Educators”. Lusaka: The University of Zambia. http://lis.unza.zm/archive/handle/123456789/8.
More Info.