SP9230 Interseksjonalitet: Sosiale kategoriers samspillsdynamikk Emneplan

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

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.

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.

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.

None

Grade scale A-F

Alle hjelpemidler er tillatt så lenge regler for kildehenvisning følges

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.

Emneansvarlig/e vurderer essay.

Målgruppen for emnet er kandidater tatt opp i doktorgradsprogrammet sosialt arbeid og sosialpolitikk, men vil være åpent for andre som ønsker å fordype seg innen feltet sosialt arbeid og sosialpolitikk.

Opptakskrav til enkeltemner for eksterne søkere

• Emnene tilbys primært til ph.d.-kandidater.
• Søkere må sende inn bekreftelse på opptak i et ph.d.-program eller tilsvarende og et sammendrag på om lag én A4-side med informasjon om eget forskningsprosjekt, metode, teoretisk innfallsvinkel, og hvorfor dette emnet anses relevant for eget prosjekt.
• Forutsatt ledig plass vil enkelte av emnene åpne for søkere med fullført mastergrad (120 stp.) innen sosialfag, helsefag, samfunnsvitenskap eller humaniora. Det kreves minimum karakter B på master-/hovedoppgaven og /eller graden. Attest på mastergrad må vedlegges, samt en side sammendrag med informasjon om egen forskningsinteresse.
• Eksterne søker opptak via Søknadsweb hvor også de nødvendige attestene lastes inn.

Maksimalt antall deltakere er 15.

Liv Mette Gulbrandsen