Formative evaluation of teaching performance Dylan Wiliam dylanwiliam
- Slides: 58
Formative evaluation of teaching performance Dylan Wiliam (@dylanwiliam) INEE seminar, Mexico City, 5 December 2013 www. dylanwiliam. org
Outline 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. Education matters, for individuals and society Teaching quality is the crucial variable Teaching quality is not the same as teacher quality Predicting who will be good teachers is almost impossible Evaluating teacher quality is inherently difficult Professional development is the key to teacher quality Feedback is more complicated than generally assumed Formative evaluation of teaching performance Strategies formative evaluation Validity of formative evaluation of teaching Implementing formative evaluation of teaching
3 Education matters: for individuals and society
What is the purpose of education? Four main philosophies of education � � Personal empowerment Cultural transmission Preparation for citizenship Preparation for work All are important Any education system is a (sometimes uneasy) compromise between these four forces
Raising achievement matters For individuals: � Increased lifetime earnings � Improved health � Longer life For society: � Lower criminal justice costs � Lower healthcare costs � Increased economic growth: Net present value to Mexico of a 25 -point increase on PISA: US$5 trillion Net present value to Mexico of getting all students to 400 on PISA: US$26 trillion (Hanushek & Woessman, 2010)
6 Teaching quality is the crucial variable
We need to focus on classrooms, not schools In most countries, variability at the classroom level is much greater than that at school level. � As long as you go to school, it doesn’t matter very much which school you go to. � But it matters very much which classrooms you are in.
Between school variation Within schools not explained by social background: 18% Between school variation explained by social background of students: 5% Mc. Gaw (2008) Within-school variation: 64% Between school variation explained by social background of schools: 16% Between schools
9 Teaching quality is not the same as teacher quality
Teaching quality/teacher quality Teaching quality depends on a number of factors � The time teachers have to plan teaching � The size of classes � The resources available � The skills of the teacher All of these are important, but the quality of the teacher seems to be especially important
Teacher quality Take a group of 50 teachers all teaching the same subject: � In the classroom of the best teacher, students learn in six months what students taught by the average teacher will take a year to learn. � In the classroom of the least effective teacher, students will take two years to learn the same amount (Hanushek & Rivkin, 2006) � And in the classrooms of the best teachers, students from disadvantaged backgrounds learn as much as others (Hamre & Pianta, 2005)
The “dark matter” of teacher quality Teachers make a difference But what makes the difference in teachers? � In particular, can we predict student progress from: Teacher qualifications? Value-added? Teacher observation?
13 Predicting who will be good teachers is almost impossible
Teacher qualifications and student progress Mathematics Primary Middle Reading High Primary Middle — — + General theory of education courses Teaching practice courses Pedagogical content courses Advanced university courses Aptitude test scores Harris and Sass (2007) + High + — — +
15 Evaluating teacher quality is inherently difficult
Framework for teaching (Danielson 1996) Four domains of professional practice 1. 2. 3. 4. Planning and preparation Classroom environment Instruction Professional responsibilities Links with student achievement (Sartain, et al. 2011) � Domains 1 and 4: no impact on student achievement � Domains 2 and 3: some impact on student achievement
A framework for teaching (Danielson, 1996) Domain 2: The classroom environment � 2 a: Creating an environment of respect � 2 b: Establishing a culture for learning � 2 c: Managing classroom procedures � 2 d: Managing student behavior � 2 e: Organizing physical space Domain 3: Instruction and rapport � 3 a: Communicating with students � 3 b: Using questioning and discussion techniques � 3 c: Engaging students in learning � 3 d: Using assessment in instruction � 3 e: Demonstrating flexibility and responsiveness
Observations and teacher quality Percentage change in rate of learning Reading 20 15 Mathematics So, the highest-rated teachers are 30% more productive than the lowest rated 10 5 0 -5 But the best teachers are 400% more productive than the least effective -10 -15 Unsatisfactory Basic Proficient Distinguished Sartain, Stoelinga, Brown, Luppescu, Matsko, Miller, Durwood, Jiang, and Glazer (2011)
We don’t know much about teaching… We cannot predict how good a teacher will be We cannot tell good teaching when we see it � Expert ratings of teaching � Student ratings of teaching We cannot evaluate teaching with test scores
Traditional approaches to improving teaching Two main approaches � Removing ineffective teachers � Rewarding good teachers Problems � Consume large amounts of management time � Technically difficult to do well � Create competition between teachers � Differentially effective according to task complexity
The story so far Improving student achievement is a priority for every country Improving student achievement requires improving teacher quality Improving teacher quality requires investment in serving teachers
22 Professional development is the key to teacher quality
General conclusions about expertise Elite performance is the result of at least a decade of maximal efforts to improve performance through an optimal distribution of deliberate practice What distinguishes experts from others is the commitment to deliberate practice Deliberate practice is � an effortful activity that can be sustained only for a limited time each day � neither motivating nor enjoyable—it is instrumental in achieving further improvement in performance
Expertise According to Berliner (1994), experts: Excel mainly in their own domain � Often develop automaticity for the repetitive operations that are needed to accomplish their goals � Are more sensitive to the task demands and social situation when solving problems � Are more opportunistic and flexible in their teaching than novices � Represent problems in qualitatively different ways than novices � Have faster and more accurate pattern recognition capabilities � Perceive meaningful patterns in the domain in which they are experienced � Begin to solve problems slower but bring richer and more personal sources of information to bear �
Effects of experience in teaching 25 Extra months per year o f learning 1 Mathematics 1 0 0 -1 -1 -2 -2 -3 -3 -4 -4 -5 Years of teaching experience 0 1 2 3 to 5 Rivkin, Hanushek and Kain (2005) -5 Reading 0 Years of teaching experience 1 2 3 to 5
Implications for education systems Pursuing a strategy of getting the “best and brightest” into teaching is unlikely to succeed Currently all teachers slow, and most actually stop, improving after two or three years in the classroom Expertise research therefore suggests that they are only beginning to scratch the surface of what they are capable of What we need is to persuade those with a real passion for working with young people to become teachers, and to continue to improve as long as they stay in the job. There is no limit to what we can achieve if we support our teachers in the right way
27 Feedback is generally more complex than generally assumed
Important caveats about research findings Educational research can only tell us what was, not what might be. Moreover, in education, “What works? ” is not the right question, because � everything works somewhere, and � nothing works everywhere, which is why � in education, the right question is, “Under what conditions does this work? ”
Effects of formative assessment Standardized effect size: differences in means, measured in population standard deviations Source Kluger & De. Nisi (1996) Black &Wiliam (1998) Wiliam et al. , (2004) Effect size 0. 41 0. 4 to 0. 7 0. 32 Hattie & Timperley (2007) Shute (2008) 0. 96 0. 4 to 0. 8
Understanding meta-analysis A technique for aggregating results from different studies by converting empirical results to a common measure (usually effect size) Standardized effect size is defined as: Problems with meta-analysis � The “file drawer” problem � Variation in population variability � Selection of studies � Sensitivity of outcome measures
Effects of feedback Kluger & De. Nisi (1996) review of 3000 research reports Excluding those: without adequate controls � with poor design � with fewer than 10 participants � where performance was not measured � without details of effect sizes � left 131 reports, 607 effect sizes, involving 12652 individuals On average, feedback increases achievement Effect sizes highly variable � 38% (50 out of 131) of effect sizes were negative �
Getting feedback right is hard Response type Feedback indicates performance… falls short of goal exceeds goal Change behavior Increase effort Exert less effort Change goal Reduce aspiration Increase aspiration Abandon goal Decide goal is too hard Decide goal is too easy Reject feedback Feedback is ignored
Kluger and De. Nisi’s conclusions… These considerations of utility and alternative interventions suggest that even an FI [feedback intervention] with demonstrated positive effects on performance should not be administered whenever possible. Rather, additional development of FIT [feedback intervention theory] is needed to establish the circumstance under which positive FI effects on performance are also lasting and efficient and when these effects are transient and have questionable utility. This research must focus on the processes induced by FIs and not on the general question of whether FIs improve performance—look at how little progress 90 years of attempts to answer the latter question have yielded. (p. 278)
34 Formative evaluation of teaching performance
The evidence base formative assessment 35 Fuchs & Fuchs (1986) Natriello (1987) Crooks (1988) Bangert-Drowns, et al. (1991) Dempster (1991, 1992) Elshout-Mohr (1994) Kluger & De. Nisi (1996) Black & Wiliam (1998) Nyquist (2003) Brookhart (2004) Allal & Lopez (2005) Köller (2005) Brookhart (2007) Wiliam (2007) Hattie & Timperley (2007) Shute (2008)
Assessment for learning/formative assessment “Assessment for learning is any assessment for which the first priority in its design and practice is to serve the purpose of promoting students’ learning. It thus differs from assessment designed primarily to serve the purposes of accountability, or of ranking, or of certifying competence. An assessment activity can help learning if it provides information that teachers and their students can use as feedback in assessing themselves and one another and in modifying the teaching and learning activities in which they are engaged. Such assessment becomes “formative assessment” when the evidence is actually used to adapt the teaching work to meet learning needs. ” (Black, Harrison, Lee, Marshall & Wiliam, 2004 p. 10)
Theoretical questions Need for clear definitions � So that research outcomes are commensurable Theorization and definition � Possible variables Category (instruments, outcomes, functions) Beneficiaries (teachers, learners) Timescale (months, weeks, days, hours, minutes) Consequences (outcomes, instruction, decisions) Theory of action (what gets formed? )
Formative assessment: a new definition “An evaluation of teacher performance functions formatively to the extent that evidence of teacher performance that is elicited by the assessment is interpreted by leaders, teachers, or their peers to make decisions about the professional development of the teacher that are likely to be better, or better founded, than those that would have been taken in the absence of that evidence. ”
Formative evaluation involves the creation of, and capitalization upon, moments of contingency in the regulation of teachers’ learning processes Kinds of regulation (Perrenoud, 1998) � Proactive � Interactive � Retroactive Agents � Leaders (external regulation) � Peers (co-regulation) � Teachers (self-regulation)
40 Strategies of formative evaluation
Unpacking formative assessment of teaching Where the teacher is now Leader Peer Teacher Clarifying, sharing and understanding learning intentions Where the teacher is going Engineering effective situations, tasks and activities that elicit evidence of development How to get there Providing feedback that moves learners forward Activating teachers as learning resources for one another Activating teachers as owners of their own learning
Validity of formative evaluation
Validity: an evolving concept Evolution of the idea �A �A �A property of a test property of students’ results on a test property of the inferences drawn on the basis of test results For any test: � some inferences are warranted are not “One validates not a test but an interpretation of data arising from a specified procedure” (Cronbach, 1971; emphasis in original) No such thing as a valid assessment!
Validating formative evaluation An assessment is a procedure for making inferences: � about what the learner knows (summative) � about what to do next (formative) Summative inferences are validated by consistency of meanings across different readers Formative inferences are validated by the consequences for learners
45 Implementing formative evaluation of teaching performance
A model for teacher learning Content, then process Content (what we want teachers to change): � Evidence � Ideas (strategies and techniques) Process (how to go about change): � Choice � Flexibility � Small steps � Accountability � Support
Choice
A strengths-based approach to change Talent development requires attending to both strengths and weaknesses The question is how to distribute attention between the two: � For novices, attention to weaknesses is likely to have the greatest payoff � For more experienced teachers, attention to strengths is likely to be more advantageous
Flexibility
Tight, but loose Two opposing factors in any school reform � � Need for flexibility to adapt to local circumstances Need to maintain fidelity to theory of action of the reform, to minimise “lethal mutations” The “tight but loose” formulation: � … combines an obsessive adherence to central design principles (the “tight” part) with accommodations to the needs, resources, constraints, and affordances that occur in any school or district (the “loose” part), but only where these do not conflict with theory of action of the intervention.
Small steps
Expertise According to Berliner (1994), experts: Excel mainly in their own domain � Often develop automaticity for the repetitive operations that are needed to accomplish their goals � Are more sensitive to the task demands and social situation when solving problems � Are more opportunistic and flexible in their teaching than novices � Represent problems in qualitatively different ways than novices � Have faster and more accurate pattern recognition capabilities � Perceive meaningful patterns in the domain in which they are experienced � Begin to solve problems slower but bring richer and more personal sources of information to bear �
Looking at the wrong knowledge The most powerful teacher knowledge is not explicit: That’s why telling teachers what to do doesn’t work. � What we know is more than we can say. � And that is why most professional development has been relatively ineffective. � Improving practice involves changing habits, not adding knowledge: � That’s why it’s hard: � And the hardest bit is not getting new ideas into people’s heads. It’s getting the old ones out. That’s why it takes time. But it doesn’t happen naturally: � If it did, the most experienced teachers would be the most productive, and that’s not true (Hanushek & Rivkin, 2006).
Hand hygiene in hospitals Study Preston, Larson, & Stamm (1981) Focus Compliance rate Open ward 16% ICU 30% Albert & Condie (1981) ICU 28% to 41% Larson (1983) All wards 45% Donowitz (1987) Pediatric ICU 30% Graham (1990) ICU 32% Dubbert (1990) ICU 81% Pettinger & Nettleman (1991) Surgical ICU 51% Larson, et al. (1992) Neonatal ICU 29% Doebbeling, et al. (1992) ICU 40% Zimakoff, et al. (1992) ICU 40% Meengs, et al. (1994) ER (Casualty) 32% Pittet, Mourouga, & Perneger (1999) All wards 48% ICU 36% Pittet (2001)
Accountability
Making a commitment Action planning: Forces teachers to make their ideas concrete and creates a record � Makes the teachers accountable for doing what they promised � Requires each teacher to focus on a small number of changes � Requires the teachers to identify what they will give up or reduce � A good action plan: Does not try to change everything at once � Spells out specific changes in teaching practice � Relates to the five “key strategies” of AFL � Is achievable within a reasonable period of time � Identifies something that the teacher will no longer do or will do less of �
Support
Supportive accountability What is needed from teachers: �A commitment to: The continual improvement of practice Focus on those things that make a difference to students What is needed from leaders: �A commitment to engineer effective learning environments for teachers by: Creating expectations for continually improving practice Keeping the focus on the things that make a difference to students Providing the time, space, dispensation, and support for innovation Supporting risk-taking
- Dylan wiliam leadership for teacher learning
- Dylan williams feedback
- Dylan wiliam curriculum
- Dylan willia
- Dylan wiliam teacher learning communities
- Tlc dylan wiliam
- What is assessment
- Tlc dylan wiliam
- What is the aera
- What is summative evaluation in hci
- Nature of formative assessment
- Formative summative diagnostic
- évaluation formative sommative normative
- Scnarii
- What is summative assessment
- What is formative assessment
- Formative vs summative assessment comparison chart
- Characteristics of formative evaluation
- Assessment formative summative diagnostic
- Hamlet činovi
- Contoh evaluasi pembelajaran bahasa inggris
- Comparison between micro teaching and traditional teaching
- Computer architecture performance evaluation methods
- Portfolio performance evaluation problems
- Behaviorally anchored rating scale for salesperson
- How can channel member performance be evaluated?
- Progress and performance measurement and evaluation
- Computer system performance evaluation
- Mco 1610
- Measurement and evaluation in human performance 5e download
- Direct support professional performance evaluation
- Performance evaluation for decentralized operations
- Vertical jump adalah
- Purchasing performance evaluation
- Citibank performance evaluation
- Housekeeping performance improvement plan
- Unit 6 principles of management
- Stronge leader effectiveness performance evaluation model
- Evaluation in progress
- Performance evaluation using variances from standard costs
- Library staff performance evaluation
- Channel performance evaluation
- Performance evaluation model
- Chra europe region
- Unm pep
- Dylan thomas the hunchback in the park
- Dylan ryder social media
- Shannon paz
- Dylan o brien freundin
- Dylan edwards on3
- Dylan thomas the hunchback in the park
- Dylan friedmann
- Dylan briggs accident frankston
- Dylan bromley
- Dylan livingston
- Fern hill by dylan thomas summary
- Dylan terpstra
- Dylan wilks
- Dylan timmerman