SPAN 588

Spring 2026 All Classes

All Classes

Sem Second Lang Learn

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Credit: 4 hours.

Treats specific topics in second language learning that are of current research and/or theoretical interest. Topics vary from term to term.

Same as EALC 588, FR 588, GER 588, ITAL 588, LING 588, and PORT 588. May be repeated to a maximum of 16 hours if topics vary. Prerequisite: SPAN 580 or equivalent or consent of instructor.

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SPAN 588 class schedule data for spring 2026
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
60354	Lecture-Discussion	AM1	3:00PM -4:50PM	R	G36 Literatures, Cultures, & Ling	Mroz, A	Part of Term: 1 Date Range: 01/20/26-05/06/26 Section Info: Topic Title: Mixed Methods Description: Mixed Methods for Research in Language Acquisition and Teacher Education: Philosophy, conceptualization, protocols to conduct mixed methods studies. Assessment of the strengths and weaknesses of published mixed methods studies. Hands-on application of mixed methods designs for a research project. Dissemination and publication of mixed methods studies. Restriction(s): Restricted to Graduate - Urbana-Champaign.
35667	Lecture-Discussion Lecture-Discussion	SM SM	12:30PM -1:50PM 2:00PM -2:50PM	TR TR	G18 Literatures, Cultures, & Ling ARR Literatures, Cultures, & Ling	Montrul, S Montrul, S	Part of Term: A Date Range: 01/20/26-03/13/26 Section Info: TOPIC TITLE: Language Transfer in L2/L3 Learning. Class meets in G18 at 12:30 PM then moves to G70 at 2:00 PM. Restriction(s): Restricted to Graduate - Urbana-Champaign.
35663	Lecture-Discussion	WM	3:00PM -5:50PM	W	69 English Building	Nelson, S	Part of Term: 1 Date Range: 01/20/26-05/06/26 Section Info: Topic Title: Advanced Analytical Methods for Linguistic Research Course Description: This course offers an overview of advanced analytical methods relevant to linguistic research. The emphasis will be on a critical evaluation of current methodologies, with a focus on scientific reproducibility and transparency. As a prerequisite, students are expected to be familiar with basic statistical terms and inferential statistics. The course will utilize the R software environment for teaching. Restriction(s): Restricted to Graduate - Urbana-Champaign.