F) Assessing CUREs

Several tools have been designed explicitly for the assessment of CUREs or can be utilized to assess the outcomes of CUREs. Shortlidge and Brownell (2016) present over 30 different assessment tools that can be used to investigate the efficacy of CUREs. Detailed publications are associated with each of those, including for tools specifically designed for CUREs (Corwin et al., 2015; Lopatto et al., 2008; Lopatto, 2004). More recent tools have also been published (Angra & Gardner, 2018; Clemmons et al., 2020; Killpack & Fulmer, 2018; Wang et al., 2018) and there are several databases of assessment tools (e.g., Q4B). New tools are also being developed as the popularity of CUREs increases (e.g., E-CURE). Many of these tools have been validated in multiple CUREs (e.g., Jordan et al., 2014; Shaffer et al., 2014), offering the opportunities for comparisons with the course being assessed. Additional tools exist for specific research experience. For example, there exist guidelines for the assessment of field-based courses (Pyle, 2009; Shortlidge et al., 2021).

One of the obstacles to the rigorous analysis of a CURE through qualitative and quantitative analyses of student surveys is the need for a comparison group (Shortlidge & Brownell, 2016). However, it is possible for instructors to explore the efficacy of their CURE without the need for a formal rigorous experimental setup. Such analyses should focus on the expected learning outcomes (ELOs) of the CURE. Existing analytical tools can be matched to the ELOs of the CURE to enable data collection. Such work should consider the following issues: (1) the sample of students that the survey tool was validated on and (2) the time necessary to administer, score, and analyze the results of the survey tools (Shortlidge & Brownell, 2016). Table 17 presents a selection of assessment tools that are readily accessible in the literature or online, validated, and can be implemented with little to moderate efforts by instructors.

 

Selected assessment tools for the classroom organized by topic (modified from Shortlidge and Brownell, 2016)

List of assessment tools to explore attitudes about science, cognitive skills, critical thinking, experimental design, communication, and motivation, among others
ATTITUDES ABOUT SCIENCE
Colorado Learning Attitudes about Science Survey Semsar et al., 2011
Classroom Undergraduate Research Experience https://www.grinnell.edu/academics/resources/ctla/assessment/cure-survey 
Research on the Integrated Science Curriculum https://www.grinnell.edu/academics/centers-programs/ctla/assessment/risc 
COGNITIVE SKILLS
Blooming Biology Tool Crowe et al., 2008
California Critical Thinking Skills Test http://www.insightassessment.com/Products/Products-Summary/Critical-Thinking-Skills-Tests/California-Critical-Thinking-Skills-Test-CCTST
Study Process Questionnaire Biggs et al., 2001
COLLABORATION, DISCOVERY AND RELEVANCE, ITERATION
Laboratory Course Assessment Survey Corwin et al., 2015
Perceived Cohesion scale Bollen and Hoyle, 1990
CRITICAL THINKING
Blooming Biology Tool Crowe et al., 2008
California Critical Thinking Skills Test http://www.insightassessment.com/Products/Products-Summary/Critical-Thinking-Skills-Tests/California-Critical-Thinking-Skills-Test-CCTST
DEEP AND SURFACE LEARNING
Study Process Questionnaire Biggs et al., 2001
ENVIRONMENTAL AWARENESS AND ATTITUDES
Environmental Attitudes Inventory Milfont & Duckitt, 2010
New Ecological Paradigm Scale Dunlap et al., 2000
EXPERIMENTAL DESIGN
Biological Experimental Design Concept Inventory Deane et al., 2014
Expanded Experimental Design Ability Test Brownell et al., 2014
Experimental Design – First Year Undergraduate https://q4b.biology.ubc.ca/concept-inventories/experimental-design-first-year-undergraduate-level/ 
Experimental Design – Third/Fourth Year Undergraduate Level https://q4b.biology.ubc.ca/concept-inventories/experimental-design-thirdfourth-year-undergraduate-level/ 
Experimental Design Ability Test Sirum & Humburg, 2011
Rubric for Experimental Design Dasgupta et al., 2014
Tool to assess interrelated experimental design Killpack & Fulmer, 2018
COMMUNICATING RESULTS
Graph Rubric Angra & Gardner, 2018
The Rubric for Science Writing Timmerman et al., 2011
MOTIVATION AND RESILIENCE
Grit Scale Duckworth & Quinn, 2009
National Survey of Student Engagement Kuh, 2009
Science Motivation Questionnaire II Glynn et al., 2011
OWNERSHIP AND BELONGING
Project Ownership Survey Hanauer & Dolan, 2014
Career Decision Making Survey – Self Authorship Creamer et al., 2010
Perceived Cohesion scale Bollen and Hoyle, 1990
Transparency in Learning and Teaching in Higher Education Survey https://tilthighered.com/abouttilt 
PERSONAL GAINS
Classroom Undergraduate Research Experience https://www.grinnell.edu/academics/resources/ctla/assessment/cure-survey 
Colorado Learning Attitudes about Science Survey Semsar et al., 2011
Research on the Integrated Science Curriculum https://www.grinnell.edu/academics/centers-programs/ctla/assessment/risc
Science Motivation Questionnaire II Glynn et al., 2011
Survey of Undergraduate Research Experiences Lopatto, 2004
Undergraduate Student Self-Assessment Instrument Weston & Laursen, 2015
Transparency in Learning and Teaching in Higher Education Survey https://tilthighered.com/abouttilt 
NATURE AND PROCESS OF SCIENCE
Biological Experimental Design Concept Inventory Deane et al., 2014
BioSkills Guide Clemmons et al., 2020
Classroom Test of Scientific Reasoning Lawson et al., 2000
Laboratory Course Assessment Survey Corwin et al., 2015
Views About Sciences Survey Halloun & Hestenes, 1998
Expanded Experimental Design Ability Test Brownell et al., 2014
Experimental Design – First Year Undergraduate https://q4b.biology.ubc.ca/concept-inventories/experimental-design-first-year-undergraduate-level/ 
Experimental Design – Third/Fourth Year Undergraduate Level https://q4b.biology.ubc.ca/concept-inventories/experimental-design-thirdfourth-year-undergraduate-level/ 
Experimental Design Ability Test Sirum & Humburg, 2011
Molecular Biology Data Analysis Test Rybarczyk et al., 2014
Rubric for Experimental Design Dasgupta et al., 2014
Test of Scientific Literacy Skills Gormally et al., 2012
The Rubric for Science Writing Timmerman et al., 2011
DATA ANALYSIS AND QUANTITATIVE REASONING
Statistical Reasoning in Biology Concept Inventory Deane et al., 2016
BioSkills Guide Clemmons et al., 2020
Psychological Research Inventory of Concepts Veilleux & Chapman, 2017
Molecular Biology Data Analysis Test Rybarczyk et al., 2014

Table 17. Selected assessment tools for the classroom organized by topic (modified from Shortlidge and Brownell, 2016).