2019 ASEE Annual Conference &Amp; Exposition Proceedings
DOI: 10.18260/1-2--33282
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Standards-Based Grading for Signals and Systems

Abstract: He has served as an officer in the New Engineering Educators division of ASEE. He also serves as the ASEE Campus Representative for MSOE. He regularly teaches courses in signal processing, communications, controls, and electric circuits.

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Cited by 4 publications
(3 citation statements)
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“…SBG is increasingly being used in engineering courses, from foundational courses, such as fluid mechanics (Post, 2014), thermodynamics (Mendez, 2018), and signals and systems (Wierer, 2019) to engineering design (Atwood et al, 2014). Reasons to adopt SBG include the desire to focus students' attention on learning rather than grades (Mendez, 2018), improve the specificity of feedback to students (Wierer, 2019), and enable students to retest on particular learning objectives to show mastery (Post, 2014). Each of these reasons for SBG adoption requires that students actively view feedback and engage in self-assessment of their performance with regards to the learning objectives.…”
Section: Standards-based Gradingmentioning
confidence: 99%
“…SBG is increasingly being used in engineering courses, from foundational courses, such as fluid mechanics (Post, 2014), thermodynamics (Mendez, 2018), and signals and systems (Wierer, 2019) to engineering design (Atwood et al, 2014). Reasons to adopt SBG include the desire to focus students' attention on learning rather than grades (Mendez, 2018), improve the specificity of feedback to students (Wierer, 2019), and enable students to retest on particular learning objectives to show mastery (Post, 2014). Each of these reasons for SBG adoption requires that students actively view feedback and engage in self-assessment of their performance with regards to the learning objectives.…”
Section: Standards-based Gradingmentioning
confidence: 99%
“…Less extreme grading approaches, such as competency-based, standards-based, or learning objectivebased grading, are based on similar tenets but allow more limited feedback and fewer attempts to demonstrate mastery (Carberry et al, 2019), making these strategies more manageable for most instructors. All of these grading strategies are being investigated in a number of engineering courses, including a first-year introduction to engineering (Diefes-Dux and Ebrahiminejad, 2018), thermodynamics (Post, 2017), and signals and systems (Wierer, 2019). These grading strategies have also been applied to exams (Hylton and Diefes-Dux, 2016) and project-based design (Atwood et al, 2014).…”
Section: Assessmentmentioning
confidence: 99%
“…[7] [8] [9] However, no specific papers have been found adopting this technique to the teaching of software engineering, though papers have been publishing showing it adopted to other electrical engineering courses, such as Signals and Systems. [10] Institutional and Course Profile…”
Section: Introductionmentioning
confidence: 99%