Design Talk as a Way to Assess Student Learning of Practices Janet L. Kolodner Jennifer Holbrook, Jackie Gray, Paul J. Camp College of Computing Georgia Institute of Technology Science Practices Understanding a problem what might need to be investigated Investigation with a purpose -- experimentation, modeling, learning from cases, ... Informed decision making, reporting on and justifying conclusions Iteration towards understanding Explaining scientifically Teamwork, collaboration across teams, giving credit Design Practices Identifying criteria, constraints, problem specification “Messing about” with materials Investigation for the purpose of application Informed decision making, reporting on and justifying design decisions Tradeoff and optimization Iteration towards a good enough solution Explaining failures and refining solutions Teamwork, collaboration across teams, giving credit Learning by Design™ A project-based inquiry approach to science education for middle school Students learn science and technology concepts and practices in the context of attempting to achieve design challenges. Highly collaborative A variety of “community rituals” are embedded in the approach to promote learning of science and design practices. Our Units Physical Science – Apollo 13 – introduction to practices of design and science – Vehicles in Motion – motion and forces – Machines that Help – simple machines and mechanical advantage Earth Science – Digging In -- introduction to practices – Managing Erosion – erosion and accretion – Tunneling through Georgia – geology, rocks and minerals, rock formations, underground water A Typical Design Cycle Challenge is presented Students mess about to generate questions for inquiry Investigation to address questions followed by presentation of results to class Design planning Pin-up session Construction & testing Gallery walk Additional investigation, demo, reading, discussion of content Iteration over last three steps to solution Two LBD™ community rituals Gallery walks (explanation and presentation of results) Pin-up sessions (justification) Ritualized public ways of participating in science and design practices Well-articulated expectations Repeatedly practiced and publicly discussed Research Goals To what extent are students learning targeted content, and what is responsible for differences? To what extent are students learning targeted practices, and what is responsible for differences? How do student conceptions and capabilities develop over time? What practices by teachers are most conducive to promoting learning? WhatХs needed to make qualitative/observational data trustworthy? Focus informed by theoretical perspective Consistency across environments and a way of managing reliability Careful planning Analysis informed by expectations Р looking for confirming and disconfirming evidence Well-controlled quantitative results to back up observations Collection of qualitative data that can be analyzed quantitatively using developmental coding rubrics Several sources of data that can be triangulated Assessment Methodologies Content Test Pre/Post – multiple choice & some essay – what they know and development of their understanding 20 Questions – self-assessment of capabilities Videotaped Performance Assessments – design an experiment, run an experiment, analyze data Videotaped Structured Interviews – interactive design, experiment design, & performance Ethnography & Informal Data Performance Assessments Ask students to carry out practices in the context of an authentic, but short performance task. Have students work in teams so as to be able to record their deliberations. Video deliberations. Code written products and team interactions for evidence of participation in practices. Repeat periodically throughout experimental period. 1Group Members__ ____ ____ ____ ____ ____ ____ ____ ____ ____ ____ ____ ____ ___ _____________________________________________________ Teacher __ ____ ____ ____ ____ ____ ____ _Block/Period__ ____ ____ _ Group Number __ ____ Da te___________ Where the Rubber Meets the Road Group Probl em Solvin g Activity PART I: Design and Describ e a Sim p le Expe riment in 1 5 Minu tes or Less Rac e cars and l arge truc ks ha ve very different ty pe s o f t ires. Different ki nds of rubber require different a mo unts o f force to overcome slidi ng fricti on. In this acti vity , your group will try to figure out and de scribe a simple experiment th at tests the amount of force needed to ove rcome sli ding fricti on f or different types of rubber and u nder different road conditi ons. You onl y h ave 15 mi nutes from rightn ow to fini sh. Everyone read the instructi ons t ogethe r and begi n. INSTRUCTIONS Examin e th e ubber r block th atyou weregiv en. Ithas h ar d r ubberon one si deand s oft rubberon t h eoth ersi de. (2) W ork to geth eras a group to es d ig n and d escribea si m pl e xpe e rim ent ha t t om c par es the am ountsofforce nee ded to overc ome slid ing fr ictio n forbot h kin ds o f rubber . (3) Y ourexper iment sh oul d o cm pare slidi ng fri cti on for th e tw o types o frubberunderdif f ere nt condit ions th atmightbefound o n a roadsurf ace. (4) O n thenextpage, wr it e your exper iment es d cr iptio n: (a )Selecta pe rson n i your group to writ e down th e xpe e ri m entdescri pti on. Thi s person shoulduse bl ack p en, an d s houldwrit e neatly . owever, H all m em bers ofhetgroup are responsibl e or f w hat iswrit te n. (3) O n thenextpage, wr it e th e xpe e ri m entdescri ptio n. (4) D o n otwrit e on t h ebac k of th e sheet;ra is e your hand and request a n ex tr a sheet , nd a writ e the nam es o f y our group and “page2”on h tis age p . (5) G ive enough detail so t hatsom eone rea di ng w hatyou writ e will know: 1. W hat y ou are tryi ng t o find o ut (1) 1 H olb rook/ LBD Page1 4/7 /01 PART I: Design and Describe a Simple Experiment in 15 Minutes Race cars and large trucks have very different types of tires. Different kinds of rubber require different amounts of force to overcome sliding friction. In this activity, your group will try to figure out and describe a simple experiment that tests the amount of force needed to overcome sliding friction for different types of rubber and under different road conditions. You have 15 minutes. Read the instructions together and begin. INSTRUCTIONS Examine the rubber block. It has hard rubber on one side and soft rubber on the other side. Work together to design and describe a simple experiment that compares the amount of force needed to overcome sliding friction for each kind of rubber. Your experiment should look at sliding friction for the two types of rubber under several different conditions that might be found on a road surface. Describe your experiment on the next page. Coding Categories Negotiation during collaboration Distribution of the task Access to prior knowledge Adequacy of prior knowledge Science/design talk Science practice (experiment design) Self checks Scoring the Quality of Practices Characterizing the practice – 1 - didn’t do it – 2 – recognized need; minimal ability – 3 – novice level – 4 – intermediate level – 5 – expert level Characterizing group behavior – 1 – nobody did it – 2 – one person recognized need and tried – 3 – half the group tried – 4 – done well half the time – 5 – group fluency Scoring the quality of practices A 5 -point likert scale for each coding category reflects a quantitative continuum. – 1 = Not at all: no evidence of the quality to be rated – 2 = Some evidence that at least one episode or one student exhibits the quality rated – 3 = The quality is exhibited by half the group – 4 = The quality is exhibited for more than half the episodes – 5 = The quality completely captures the nature of the episodes Performance Assessme nt tasks: Coding for science practice Jack ie Gray, Paul C amp, Jenni fer Holbrook, Ba rbara Fasse, and Jane t Kolodne r Addit ionalno tes are fi ne and canbe recorded on the cod ingsh eet. Ple ase note whi cheven t segmen t is being coded for eachep isod e: planningan exp erim ent; p roblem set up; exp erim enta l man ipula tion; respon se to written qu estion s. Ingen eral, the 5 -poin t likert scale refle cts the follo wing quan tit ativ e con tinuum. Details for each item are also inc luded be low. 1 = Not at all : no eviden ce o f the qual ityto b e rated 2 = So me ev idenc e tha t at least on e epi sode o r one student exhibi ts the qua lity rated 3 = The qu ali tyi s exhib ited h alf the time 4 = The qu ali tyi s exhib ited for more th anhal f t he ep isod es 5 = The qu ali tycomp letelyc aptu res the natu re of the episode s Design an expe riment segme nt: Within an epi sode , t he context o f the gro up i s charact erized by : Negotiations Not a t all 1 at least one o f the members of t he group s ugge sts a compromis e abou t some aspect of t he pro cedu re at least one o f the members of t he group s ugge sts that compromis e or deb at e is needed fo r at least half t he is sues thatr equi re it at least two of the members of t he group que stions several as pectof the proc edur e and the group makes the needed chang e Most de cis ion s are made about pro cedu re by the entire team con tribu ting and decis ion m aking is con sensual 2 3 4 5 Prior knowledg e is defined a s s tudents referring to so me a spec t of the c urriculum unit that relate s to the current p robl em; referr ing to some a spect o f a pe rs ona l expe rience that seems to relate to the current p robl em; referr ing to some a spect o f the science concept o r method a t issue that appea rs to com e from previous expo sure to t he co ncept or sk ill. Students show evi dence of using prio r knowledge to solv e the problem Not a t all 1 at least one o f the members of t he group me ntions a prior event or con cept that rel ates to the prob le m at least half of the team mentions a prior event or con cept that rel ates to the prob le m Seve ral even ts and con cepts are mentioned and app li ed t o the prob le m The group rou tinely recalls events or con cepts that as sist in their coll abo rative prob le m s olv ing 2 3 4 5 More than one member of the group m entions or foll ows up on events or con cepts that are useful Ev ery me ntion of prior know ledg e is directlyapp li cable to the prob le m 4 5 Prior knowledge seems adequate Not a t all 1 at least one o f the mentions of prior know ledg e is foll owed up on and is useful 2 At le ast hal f the mentions of prior know ledg e are app ropr iate to the prob le m 3 Students use science practice to d ecide on method/proc edures Not a t all 1 at least one o f the members of t he group s ugge st a method to t est at leas t one variable 2 at least one o f the members sugge st a method and indicates an unde rs tanding of fai r t esting at least one o f the members sugge st a method and indicates an unde rs tanding of fai r t esting and con trolli ng for vari ables Most of t he team agrees that the method u sed will fai rly test the im por tant variable s and t heir decisions wou ld actually be a reasonab le exp erim ent 3 4 5 The episodes are characterized by gro up self-checks on proce du res Not a t all 1 at least one o f the members of t he group que stions some aspect of t he pro cedu re at least one o f the members of t he group que stions some aspect of t he pro cedu re and the makes the needed change at least one o f the members of t he group que stions severala spect of the proc edur e and the group makes the needed chang e More than one of the mem ber s of the group que stions severala spect o f the proc edur e and the group makes the needed chang e 2 3 4 5 Table 1 : Meansa nd standard d eviations for ca tego ries fr om pe rformance a ss essment cod ing for LBD students (typical a nd hono rs) and Co mpar ison students (typical a nd hono rs) Coding category Means (SD) LBD Typ ical Means (SD) LBD Honors 2.50 (1.00) 3.25 (.50) * Means (SD) Comparison Typica l 1.50 (.58) 2.25 (.50) 4.50 (.58) *** 4.00 (1.15) Means (SD) Honors Comparison 2.67 (.58) 3.00 (1.00) Negot iations Distribu ted Effort/tasks Prio r knowledg e Prio r Know ledge adequat e Science terms used Science practice skil ls 2.25 (.50) `1.75 (.50) 3.75 (1.50) 3.0 (.00) 2.75 (.96) 1.50 (.58) 3.50 (1.00) 2.67 (1.15) 2.50 (1.29) 1.75 (.50) 3.50 (1.00) 2.67 (1.15) 2.75 (.96) 2.25 (.50) 4.75 (.50) *** 2.67 (.71) Self-c heck s 3.00 (.82) ** 1.50 (.58) 4.25 (.50) *** 2.33 (.58) Significance levels: * = p < .03; ** = p < .02; *** = p < .01 The me ans are ba sed on the likert scale : 1 - 5 Putting it all together Code videos of performance tasks so as to document performance capabilities of students over time. Use documentation of teacher practices to identify high, medium, and low-fidelity LBD classes and the practices of particular teachers. Analyze across high-, medium-, and low-fidelity LBD classrooms and between LBD and non-LBD classrooms to see differences. Use observational data to try to explain those differences in terms of the ways the classroom practices and culture and teacher facilitation differed. Making Observations Consistent: Observational Prompt Tool Sections focus on Individual, small-group, whole-class activities -- what to look for in each LBD rituals – gallery walks, messing about, wb what to look for in student and teacher behavior when certain goals are active – generating questions for inquiry, focusing investigation, debugging, construction, … OPT Sample Prompts Questioning – What are teacher questions about? – What are student questions about? – What question types are being used? – Purpose of teacher questions? – How does teacher deal with off-topic questions? – (each question has a menu of types and a set of examples associated) Gallery Walks – – – – – Who initiates the session? Who displays the artifact? Who asks questions? Who gives feedback? In what ways is feedback constructive? – What comparisons are made between groups or to previous work of the presenting group? – To what extent are students being explicit about design decisions, LBD’s Foundations Case-based reasoning’s model of learning from experience (Kolodner, Schank, Hammond, …) Problem-Based Learning’s model of the classroom (Barrows, …) Communities of Learners (Brown, Campione), Constructionism (Papert, Harel, Kafai, …), Cognitive Apprenticeship (Collins, Brown, …), architecture studio, Decision-Based Design (Mistree, …), transfer, development, ... A project-based inquiry approach with more.