Programplaner og emneplaner - Student
MALKA211 Introduction to Behavior Analysis Course description
- Course name in Norwegian
- Introduksjon til atferdsanalyse
- Study programme
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Master's Program in Behavioral ScienceMaster’s Program in Behavioral Science - Specialisation in Innovation and ImplementationMaster’s Program in Behavioral Science - Specialisation in Concepts and Applications
- Weight
- 10.0 ECTS
- Year of study
- 2024/2025
- Curriculum
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SPRING 2025
- Schedule
- Programme description
- Course history
-
Introduction
The course introduces Behavior Analysis as a research discipline and presents the basic concepts of behavior analysis, mainly from experimental work and findings. Experimental analysis of behavior is a natural science with ontology and epistemology distinct from other behavioral sciences, and these distinctions are emphasized. Dimensions of Behavior Analysis, respondent and operant conditioning, recording and measurement, and single-case designs, are core topics. In addition, ethical concerns regarding changing other people’s behavior, are discussed. This includes introducing the concept of social validity.
Required preliminary courses
Coursework requirements from MALK4000-401 and MALK4000-403 must be approved to participate and submit coursework requirements in MALKA211.
Learning outcomes
On successful completion of the course, the student has the following learning outcomes classified as knowledge, skills and competence:
Knowledge
The student can
- describe and discuss characteristics of behavior analysis as a science
- explain core concepts and relations on classical conditioning, and operant conditioning
- discuss how prediction and control can be demonstrated in single-case designs
- describe and exemplify different measures of reliability
- discuss different methods of observation and recording of behavior
- describe core elements of behavior chains and different ways in which such chains can be established
- describe core ethical principles and discuss how the core ethical principles relate to behavior analysis
- discuss how social aversive contingencies may influence behavior
Skills
The student can
- select the appropriate behavioral dimensions and methods for reliable measurement, and observe and measure behavior
- identify examples of respondent conditioning
- explain how a behavior chain can be established
- identify examples of the operant paradigm
- interpret data from line and bar graphs
Competence
The student can
- provide practical examples of respondent behavior
- provide practical examples of operant conditioning
- use and explain core concepts in behavior analysis to professionals in different branches communicate important aspects of behavior analysis as a science
Teaching and learning methods
In the BSCA specialisation, campus-based lectures and seminars are the main teaching methods, in addition to digital simulation exercises, study questions, and student presentations. The lectures will partly be based on Interteaching sequences using readings from the curriculum. Texts used for Interteaching are announced in the digital learning platform of the university. In the BSII specialisation, the main teaching method is digital course sequences, and feedback on details of course content, and supervised discussion groups will be available during pre-determined time periods. Feedback on written assignments is used in both specialisations.
Course requirements
The following required coursework must be approved before the student can take the exam:
- 2 individual written assignments submitted digitally, each with a maximum length of 6000 characters, including spaces. References are to be included in the 6000 characters.
Assessment
Individual school examination, 4 hours, with combination of essay assignments and multiple choice/digital tests. Exam questions are in English. Students may submit their exams in Norwegian, Swedish, Danish or English.
Permitted exam materials and equipment
None
Grading scale
Grade scale A-F
Examiners
Essay assignments: All answers are assessed by one examiner.
An external examiner is used regularly, at a minimum of every third completion of the course. When selecting answers for external evaluation, a minimum of 10 percent of the answers shall be included, with no fewer than 5 answers. The external examiner’s assessment of the selected answers shall benefit all students.
Multiple choice/digital test: quality assured by an examiner and automatically assessed.