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IFEES GEDC IUCEE Global Webinar: “Using Learning Outcomes for Teaching Engineering Courses”
January 26, 2022 @ 7:30 pm - 8:30 pm UTC+5.5
IFEES GEDC IUCEE Global Webinar: Using Learning Outcomes for Teaching Engineering Courses
Generally most engineering programs employ methods for developing learning outcomes, performance indicators and their rubrics that primarily focus on the fulfillment of accreditation requirements. Therefore, a relatively small set of learning outcomes with generic performance indicators and their rubrics that are broad in application are usually developed at the program or course level. Typically engineering specializations teach students several hundred specific activities throughout the course of their curriculum delivery. Generic performance indicators do not adequately support holistic curriculum deliveries targeting coverage of all three Bloom’s learning domains and their learning levels. Consequently, their generic rubrics also present difficulty in characterizing these specific student learning activities and their skills levels. They cannot be accurately applied to assessment, scoring of specific student learning activities and create issues for inter or intra-rater reliability. In this webinar, participants will learn the essential principles of an authentic Outcome Based Educational (OBE) model used for developing learning outcomes, generic and specific performance indicators and their rubrics for measuring specific skills related to Bloom’s 3 learning domains and their learning levels. They will also be exposed to key perspectives that incorporate digitization of the assessment process.
Wajid Hussain (Senior Member, IEEE) is a renowned world expert on authentic OBE, QA processes, outcomes assessment, and program evaluation for accreditation using digital technology and software. He has extensive experience supporting and managing outcomes assessment and CQI processes to fulfill regional and ABET accreditation requirements. He joined the academic field coming from an intensive engineering background at Silicon Valley and more than 20 years’ experience with mass production expertise in a Billion-dollar microprocessor manufacturing industry.