Experience on outcome-based teaching and learning

Oliver Au, Reggie Kwan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Citations (Scopus)


Outcome-based teaching and learning emphasizes the explicit declaration of learning outcomes which identify the tasks students are expected to be able to perform after completing the course, and to what standard. OBTL also requires the teaching, learning and assessment activities to align with the stated learning outcomes. We interviewed fifteen university instructors about their experience of teaching outcome-based computer science courses and how OBTL has affected students and themselves. Academic departments had not adjusted their teaching load to account for the added effort required for the migration to OBTL. Most instructors continue to use time-saving norm-referenced assessment. Students did not seem to perform better under OBTL. With the way OBTL is being implemented, it is doubtful that the full benefits of OBTL will ever be realized.

Original languageEnglish
Title of host publicationHybrid Learning and Education - Second International Conference, ICHL 2009, Proceedings
Number of pages7
Publication statusPublished - 2009
Externally publishedYes
Event2nd International Conference on Hybrid Learning and Education, ICHL 2009 - Macau, China
Duration: 25 Aug 200927 Aug 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5685 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference2nd International Conference on Hybrid Learning and Education, ICHL 2009


  • Frequent summative assessment
  • Outcome-based education (OBE)
  • Outcome-based teaching and learning (OBTL)


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