COMPLETE MATH

George mason university, 2. making assumptions.

Make assumptions and focus the problem with information and mathematics.

  • What information do we already know/need to know to make a model?
  • What assumptions do we need to make to build a model?
  • What are some important quantities in your situation?
  • What mathematical tools could
  • you use in your model?

                                            KWI CHART

        Gathering Information

If i knew______, i could figure out_______.

(For example, If I knew the cost of a school bus for a field trip,  then I could figure out the cost of the transportation.

If I knew how many students and chaperones were coming on the trip , then I could figure out the total number of school buses we would need. )

Standard for Mathematical Practices:Reason abstractly and quantitatively.

Module 4: Probability and Statistics

4.7 observational studies and experiments, learning outcomes.

  • Identify the differences between observational studies and experiments

Read with a pencil in hand

Continue to read these sections with a pencil in hand. Make note of definitions, but also make note of keywords that will help you to identify an observational study versus an experiment. Work the TRY IT and EXAMPLES out by hand to gain the experience you’ll need to correctly identify these on a test.

What you’ll learn to do: Examine the methods for sampling and experimentation and how bias can affect the results

As we mentioned previously, the first thing we should do before conducting a survey is to identify the population that we want to study. In this lesson, we will show you examples of how to identify the population in a study, and determine whether or not the study actually represents the intended population. We will discuss different techniques for random sampling that are intended to ensure a population is well represented in a sample.

We will also identify the difference between an observational study and an experiment, and ways experiments can be conducted. By the end of this lesson, we hope that you will also be confident in identifying when an experiment may have been affected by confounding or the placebo effect, and the methods that are employed to avoid them.

Observing vs. Acting

So far, we have primarily discussed observational studies – studies in which conclusions would be drawn from observations of a sample or the population. In some cases these observations might be unsolicited, such as studying the percentage of cars that turn right at a red light even when there is a “no turn on red” sign. In other cases the observations are solicited, like in a survey or a poll.

In contrast, it is common to use experiments when exploring how subjects react to an outside influence. In an experiment, some kind of treatment is applied to the subjects and the results are measured and recorded.

Collection of clear glass scientific measuring equipment, with clear liquid in them

Observational studies and experiments

  • An observational study is a study based on observations or measurements
  • An experiment is a study in which the effects of a treatment are measured

Here are some examples of experiments:

A pharmaceutical company tests a new medicine for treating Alzheimer’s disease by administering the drug to 50 elderly patients with recent diagnoses. The treatment here is the new drug.

A gym tests out a new weight loss program by enlisting 30 volunteers to try out the program. The treatment here is the new program.

You test a new kitchen cleaner by buying a bottle and cleaning your kitchen. The new cleaner is the treatment.

A psychology researcher explores the effect of music on temperament by measuring people’s temperament while listening to different types of music. The music is the treatment.

These examples are discussed further in the following video.

Is each scenario describing an observational study or an experiment?

a. The weights of 30 randomly selected people are measured

b. Subjects are asked to do 20 jumping jacks, and then their heart rates are measured

c. Twenty coffee drinkers and twenty tea drinkers are given a concentration test

a. Observational study

b. Experiment; the treatment is the jumping jacks

c. Experiment; the treatments are coffee and tea

This is the end of the section. Close this tab and proceed to the corresponding assignment.

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  • Confounding. Authored by : OCLPhase2's channel. Located at : https://youtu.be/SrCm12HZay0 . License : CC BY: Attribution
  • Controlled Experiments. Authored by : OCLPhase2's channel. Located at : https://youtu.be/UkCHUeqMb5Y . License : CC BY: Attribution
  • Blind Experiments. Authored by : OCLPhase2's channel. Located at : https://youtu.be/7BFZVGCxeYc . License : CC BY: Attribution
  • Question ID 6736, 6728, 6914. Authored by : Lippman, David. License : CC BY: Attribution . License Terms : IMathAS Community License CC-BY + GPL

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Home > Fractions > Assessment > Assessment approaches > Observation

Teachers constantly use informal observation to monitor student responses to classroom experiences. However, to be an effective assessment approach, observations need to be more purposeful and deliberate.

Observation situations should be planned. Some possibilities include:

  • targetted student-centred learning activities, particularly where the students will be engaged in observable actions, such as modelling mathematical processes
  • tasks for pairs or small groups that involve discussion and collaboration
  • consolidation or application tasks that require students to apply knowledge and skills developed in previous lessons.

Observations need to be focussed. For example, the focus could be on:

  • the individual's choice and use of representations (drawings and materials)
  • the use of mathematical language in a small group
  • individual confidence and motivation levels
  • strategies for solving problems (visible evidence might need to be confirmed by an informal discussion).

Observations need to be recorded in some form. They could include:

  • anecdotal records — jottings of notable achievements or concerns
  • checklists of specific indicators of learning
  • digital records — photos or audio recordings.

Observation example

The combination of a photo and anecdotal notes is used to record observations of a pair of students playing a fraction matching game.

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Classroom observation and mathematics education research

  • Published: 14 September 2019
  • Volume 24 , pages 5–31, ( 2021 )

Cite this article

  • Jonathan Bostic   ORCID: orcid.org/0000-0003-2506-0491 1   na1 ,
  • Kristin Lesseig 2   na1 ,
  • Milan Sherman 3   na1 &
  • Melissa Boston 4   na1  

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Classroom observations have become an integral part of research related to mathematics education. In this qualitative study, we describe the current state of the mathematics education field with regard to the use of classroom observation. The research question was: How is classroom observation being used to measure instructional quality in mathematics education research ? In all, 114 peer-reviewed manuscripts published between 2000 and 2015 that involved classroom observation as part of an empirical study were examined using a cross-comparative methodology. Seventy (61%) did not use a formalized classroom observation protocol (COP), 21 (18%) developed their own COP, and 23 (20%) used a previously developed COP. Of the implemented COPs, 44% have published validity evidence in a peer-reviewed journal. We perceive the great variety of research approaches for classroom observation as necessary and potentially challenging in moving mathematics education forward with respect to research on instructional contexts.

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American Educational Research Association, American Psychological Association, & National Council on Measurement in Education. (2014). Standards for educational and psychological testing . Washington, DC: American Educational Research Association.

Google Scholar  

American Educational Research Association, American Psychological Association, National Council on Measurement in Education, Joint Committee on Standards for Educational and Psychological Testing (US). (1999). Standards for educational and psychological testing . Washington, DC: American Educational Research Association.

Arbaugh, F., Lannin, J., Jones, D. L., & Park-Rogers, M. (2006). Examining instructional practices in Core-Plus lessons: Implications for professional development. Journal of Mathematics Teacher Education, 9 (6), 517–550.

Article   Google Scholar  

Baker, J. A. (1999). Teacher-student interaction in urban at-risk classrooms: Differential behavior, relationship quality, and student satisfaction with school. The Elementary School Journal, 100 (1), 57–70.

Ball, D. L., & Rowan, B. (2004). Introduction: Measuring instruction. The Elementary School Journal, 105, 3–10.

Berry, III, R. Q., Rimm-Kaufman, S. E., Ottmar, E. M., Walkowiak, T. A., & Merritt, E. (2010). The Mathematics Scan (M - Scan): A measure of mathematics instructional quality . Unpublished measure, University of Virginia.

Blank, R. K., Porter, A., & Smithson, J. (2001). New tools for analyzing teaching, curriculum and standards in Mathematics & Science. Results from Survey of Enacted Curriculum Project. Final Report . Council of Chief State School Officers, Attn: Publications, One Massachusetts Avenue, NW, Suite 700, Washington, DC 20001-1431.

Borasi, R., Fonzi, J., Smith, C., & Rose, B. J. (1999). Beginning the process of rethinking mathematics instruction: A professional development program. Journal of Mathematics Teacher Education, 2, 49–78.

Bostic, J. (2017). Moving forward: Instruments and opportunities for aligning current practices with testing standards. Investigations in Mathematics Learning, 9 (3), 109–110.

Bostic, J. (2018). Improving test development reporting practices. In L. Venenciano & A. Sanogo (Eds.), Proceedings of the 45th Annual Meeting of the Research Council on Mathematics Learning (pp. 57–64). Baton Rouge, LA.

Bostic, J., Lesseig, K., Sherman, M., & Boston, M. (2017). Classroom observation protocols: Choose your own tool . Research report presented at the National Council of Teachers of Mathematics Research Conference, San Antonio, TX.

Bostic, J., Matney, G., & Sondergeld, T. (2019). A lens on teachers’ promotion of the Standards for Mathematical Practice. Investigations in Mathematics Learning, 11 (1), 69–82.

Boston, M. D. (2012a). Assessing the quality of mathematics instruction. Elementary School Journal, 113, 76–104.

Boston, M. (2012b). Assessing instructional quality in mathematics. The Elementary School Journal, 113 (1), 76–104.

Boston, M., Bostic, J., Lesseig, K., & Sherman, M. (2015a). A comparison of mathematics classroom observation protocols. Mathematics Teacher Educator, 3, 154–175.

Boston, M., Bostic, J., Lesseig, K., & Sherman, M. (2015b). Classroom Observation tools to support the work of mathematics teacher educators. Invited Manuscript for Mathematics Teacher Educator, 3, 154–175.

Boston, M. D., & Smith, M. S. (2009). Transforming secondary mathematics teaching: Increasing the cognitive demands of instructional tasks used in teachers’ classrooms. Journal for Research in Mathematics Education, 40, 119–156.

Boston, M. D., & Wilhelm, A. G. (2015). Middle school mathematics instruction in instructionally-focused urban districts. Urban Education, 52 (7), 829–861.

Briars, D. J., & Resnick, L. B. (2000). Standards, assessments… and what else? The essential elements of standards - based school improvement . Center for the Study of Evaluation, National Center for Research on Evaluation, Standards, and Student Testing, Graduate School of Education & Information Studies, University of California, Los Angeles.

Brigham Young University Department of Mathematics Education. (2008). Report on venue study. Retrieved from https://nctm.confex.com/nctm/…/BYU%20Study%20for%20Journal%20Rankings.pdf .

Brophy, J. (1986). Teacher influences on student achievement. American Psychologist, 41, 1069.

Brown, J. C., & Crippen, K. J. (2016). The growing awareness inventory: Building capacity for culturally responsive science and mathematics with a structured observation protocol. School Science and Mathematics, 116 (3), 127–138.

Capobianco, B. M., & Rupp, M. (2014). STEM teachers’ planned and enacted attempts at implementing engineering design-based instruction. School Science and Mathematics, 114 (6), 258–270.

Charalambous, C. Y., & Praetorius, A. K. (2018). Studying mathematics instruction through different lenses: Setting the ground for understanding instructional quality more comprehensively. ZDM Mathematics Education, 50, 355–366. https://doi.org/10.1007/s11858-018-0914-8 .

Danielson, C. (2013). The framework for teaching: Evaluation instrument . Princeton, NJ: Danielson Group.

Doabler, C. T., Baker, S. K., Kosty, D. B., Smolkowski, K., Clarke, B., Miller, S. J., et al. (2015). Examining the association between explicit mathematics instruction and student mathematics achievement. The Elementary School Journal, 115 (3), 303–333.

Donovan, M. S., & Bransford, J. D. (2005). How students learn: History, mathematics, and science in the classroom . Committee on How People Learn: A Targeted Report for Teachers National Research Council. Washington, DC: National Academies Press.

Farmer, J. D., Gerretston, H., & Lassak, M. (2003). What teachers take from professional development: Cases and implications. Journal of Mathematics Teacher Education, 6, 331–360.

Fraivillig, J. L., Murphy, L. A., & Fuson, K. C. (1999). Advancing children’s mathematical thinking in everyday mathematics classrooms. Journal for Research in Mathematics Education, 30, 148–170.

Franke, M. L., Carpenter, T. P., Levi, L., & Fennema, E. (2001). Capturing teachers’ generative change: A follow-up study of professional development in mathematics. American Educational Research Journal, 38, 653–689.

Franke, M., Kazemi, E., & Battey, D. (2007). Understanding teaching and classroom practice in mathematics. In F. Lester Jr. (Ed.), Second handbook of research on mathematics teaching and learning (pp. 225–256). Charlotte, NC: Information Age Publishing.

Good, T., & Brophy, J. (1994). Looking in classrooms (6th ed., pp. 209–262). New York: Harper Collins College Publishers.

Hall, A., & Miro, D. (2016). A study of student engagement in project-based learning across multiple approaches to STEM education programs. School Science and Mathematics, 116 (6), 310–319.

Hamre, B., Pianta, R., Burchinal, M., Field, S., LoCasale-Crouch, J., Downer, J., et al. (2012). A course on effective teacher-child interactions: Effects on teacher beliefs, knowledge, and observed practice. American Educational Research Journal, 49 (1), 88–123.

Hiebert, J., Stigler, J. W., Jacobs, J. K., Givvin, K. B., Garnier, H., Smith, M., et al. (2005). Mathematics teaching in the United States today (and tomorrow): Results from the TIMSS 1999 video study. Educational Evaluation and Policy Analysis, 27, 111–132.

Hill, H. C., Charalambous, C. Y., & Kraft, M. A. (2012). When rater reliability is not enough: Teacher observation systems and a case for the generalizability study. Educational Researcher, 41 (2), 56–64.

Hill, H., & Shih, J. (2009). Examining the quality of statistical mathematics education research. Journal of Research in Mathematics Education, 40 (3), 241–250.

Jackson, K., Garrison, A., Wilson, J., Gibbons, L., & Shahan, E. (2013). Exploring relationships between setting up complex tasks and opportunities to learn in concluding whole-class discussions in middle-grades mathematics instruction. Journal for Research in Mathematics Education, 44 (4), 646–682.

James, L. R., Demaree, R. G., & Wolf, G. (1993). Rwg: An assessment of within-group interrater agreement. Journal of Applied Psychology, 78, 306.

Jong, C., Pedulla, J. J., Reagan, E. M., Salomon-Fernandez, Y., & Cochran-Smith, M. (2010). Exploring the link between reformed teaching practices and pupil learning in elementary school mathematics. School Science and Mathematics, 110 (6), 309–326.

Judson, E. (2013). Development of an instrument to assess and deliberate on the integration of mathematics into student-centered science learning. School Science and Mathematics, 113 (2), 56–68.

Kane, M. T. (2006). Valildation. In R. L. Brennan, National Council on Measurement in Education, & American Council on Education (Eds.), Educational measurement . Westport, CT: Praeger Publishers.

Kane, M. T. (2016). Validation strategies: Delineating and validating proposed interpretations and uses of test scores. In S. Lane, M. Raymond, & T. M. Haladyna (Eds.), Handbook of test development (Vol. 2nd). New York, NY: Routledge.

Kane, T. J. & Staiger, D. O. (2012). Gathering Feedback for Teaching: Combining high-quality observations with student surveys and achievement gains. Research paper. MET Project. Bill and Melinda Gates Foundation.

Kapitula, L., & Umland, K. (2011). A validity argument approach to evaluating teacher value-added scores. American Educational Research Journal, 48 (3), 794–831.

Kersting, N. B., Sutton, T., Kalinec-Craig, C., Stoehr, K. J., Heshmati, S., Lozano, G., et al. (2016). Further exploration of the classroom video analysis (CVA) instrument as a measure of usable knowledge for teaching mathematics: Taking a knowledge system perspective. ZDM Mathematics Education, 48 (1–2), 97–109.

Khan, S., & VanWynsberghe, R. (2008). Cultivating the under-mined: Cross-case analysis as knowledge mobilization. Forum: Qualitative Social Research, 9, 1–21.

Le, V., Lockwood, J. R., Stecher, B. M., Hamilton, L. S., & Martinez, J. F. (2009). A longitudinal investigation of the relationship between teachers’ self-reports of reform-oriented instruction and mathematics and science achievement. Educational Evaluation and Policy Analysis, 31, 200–220.

Learning Mathematics for Teaching Project. (2011). Measuring the mathematical quality of instruction. Journal of Mathematics Teacher Education, 14, 25–47.

Lubienski, S. T. (2008). On” gap gazing” in mathematics education: The need for gaps analyses. Journal for Research in Mathematics Education, 39, 350–356.

Marshall, J., Smart, J., & Horton, R. (2010). The design and validation of EQUIP: An instrument to assess inquiry-based instruction. International Journal of Science & Mathematics Education, 8 (2), 299–321.

Marshall, J. C., Smart, J., Lotter, C., & Sirbu, C. (2011). Comparative analysis of two inquiry observational protocols: Striving to better understand the quality of teacher-facilitated inquiry-based instruction. School Science and Mathematics, 111 (6), 306–315.

Matsumura, L. C., Garnier, H., Slater, S. C., & Boston, M. (2008). Toward measuring instructional interactions ‘at-scale’. Educational Assessment, 13, 267–300.

McCaffrey, D. F., Hamilton, L. S., Stecher, B. M., Klein, S. P., Bugliari, D., & Robyn, A. (2001). Interactions among instructional, practices, curriculum, and student achievement: The case of Standards-based high school mathematics. Journal for Research in Mathematics Education, 32, 493–517.

McCaslin, M., Good, T. L., Nichols, S., Zhang, J., Wiley, C. R., Bozack, A. R., et al. (2006). Comprehensive school reform: An observational study of teaching in grades 3 through 5. The Elementary School Journal, 106 (4), 313–331.

Mendez, E. P., Sherin, M. G., & Louis, D. A. (2007). Multiple perspectives on the development of an eighth-grade mathematical discourse community. The Elementary School Journal, 108 (1), 41–61.

Morrell, P. D., Wainwright, C., & Flick, L. (2004). Reform teaching strategies used by student teachers. School Science and Mathematics, 104 (5), 199–213.

Morrone, A. S., Harkness, S. S., D’ambrosio, B., & Caulfield, R. (2004). Patterns of instructional discourse that promote the perception of mastery goals in a social constructivist mathematics course. Educational Studies in Mathematics, 56 (1), 19–38.

National Council of Teachers of Mathematics. (2014). Principles to actions: Ensuring mathematical success for all . Reston, VA: Author.

Newton, K. J. (2009). Instructional practices related to prospective elementary school teachers’ motivation for fractions. Journal of Mathematics Teacher Education, 12 (2), 89–109.

Ottmar, E. R., Rimm-Kaufman, S. E., Berry, R. Q., & Larsen, R. A. (2013). Does the responsive classroom approach affect the use of standards-based mathematics teaching practices? Results from a randomized controlled trial. The Elementary School Journal, 113 (3), 434–457.

Peters Burton, E., Kaminsky, S. E., Lynch, S., Behrend, T., Han, E., Ross, K., et al. (2014). Wayne School of Engineering: Case study of a rural inclusive STEM-Focused High School. School Science and Mathematics, 114 (6), 280–290.

Pianta, R. C., Belsky, J., Vandergrift, N., Houts, R., & Morrison, F. J. (2008). Classroom effects on children’s achievement trajectories in elementary school. American Educational Research Journal, 45 (2), 365–397.

Ross, S. M., Smith, L. J., & Alberg, M. (1998). The school observation measure (SOM VC) . Memphis: Center for Research in Educational Policy, The University of Memphis.

Rubel, L. H., & Chu, H. (2012). Reinscribing urban: Teaching high school mathematics in low income, urban communities of color. Journal of Mathematics Teacher Education, 15 (1), 39–52.

Santagata, R., & Barbieri, A. (2005). Mathematics teaching in Italy: A cross-cultural video analysis. Mathematical Thinking and Learning, 7 (4), 291–312.

Sawada, D., Piburn, M. D., Judson, E., Turley, J., Falconer, K., Benford, R., et al. (2002). Measuring reform practices in science and mathematics classrooms: The reformed teaching observation protocol. School Science and Mathematics, 102, 245–253.

Saxe, G. B., Gearhart, M., & Seltzer, M. (1999). Relations between classroom practices and student learning in the domain of fractions. Cognition and instruction, 17, 1–24.

Schifter, D. A., & Simon, M. (1992). Assessing teachers’ development of a constructivist view of mathematics learning. Teacher and Teacher Education, 8, 187–197.

Schlesinger, L., & Jentsch, A. (2016). Theoretical and methodological challenges in measuring instructional quality in mathematics education using classroom observations. ZDM Mathematics Education, 48 (1–2), 29–40.

Schoen, H. L., Cebulla, K. J., Finn, K. F., & Fi, C. (2003). Teacher variables that relate to student achievement when using a standards-based curriculum. Journal for Research in Mathematics Education, 34, 228–259.

Schoenfeld, A. H. (2013). Classroom observations in theory and practice. ZDM Mathematics Education, 45 (4), 607–621.

Sears, R., & Chavez, O. (2014). Opportunities to engage with proof: the nature of proof tasks in two geometry textbooks and its influence on enacted lessons. ZDM Mathematics Education, 46, 767–780.

Simon, M. A., & Shifter, D. (1991). Towards a constructivist perspective: An intervention study of mathematics teacher development. Educational Studies in Mathematics, 22, 309–331.

Slavin, R. E., Lake, C., & Groff, C. (2009). Effective programs in middle and high school mathematics: A best evidence synthesis. Review of Educational Research, 79, 839–911.

Smith, M. (2014). Tools as a catalyst for practitioners’ thinking. Mathematics Teacher Educator, 3, 3–7.

Steenbergen-Hu, S., & Cooper, H. (2013). A meta-analysis of the effectiveness of intelligent tutoring systems on K–12 students’ mathematical learning. Journal of Educational Psychology, 105, 970–987.

Swafford, J. O., Jones, G. A., & Thornton, C. A. (1997). Increased knowledge in geometry and instructional practice. Journal for Research in Mathematics Education, 28, 467–483.

Tarr, J. E., Reys, R. E., Reys, B. J., Chavez, O., Shih, J., & Osterlind, S. (2008). The impact of middle grades mathematics curricula on student achievement and the classroom learning environment. Journal for Research in Mathematics Education, 39, 247–280.

Toerner, G., & Arzarello, F. (2012). Grading mathematics education research journals. Newletter of the European Mathematical Society, 86, 52–54.

U.S. Department of Education, Institute of Education Sciences, What Works Clearinghouse. (2012, February). High School Math intervention report: I CAN Learn ® . Retrieved from http://whatworks.ed.gov .

U.S. Department of Education, Institute of Education Sciences, What Works Clearinghouse. (2013, January). High School Mathematics intervention report: Carnegie Learning Curricula and Cognitive Tutor ® . Retrieved from http://whatworks.ed.gov .

Valli, L., & Croninger, R. (2002). High quality teaching of foundational skills in mathematics and reading (# 0115389) . Washington: National Science Foundation Interdisciplinary Educational Research Initiative.

Wainwright, C., Morrell, P. D., Flick, L., & Schepige, A. (2004). Observation of reform teaching in undergraduate level mathematics and science courses. School Science and Mathematics, 104 (7), 322–335.

Walkington, C., Arora, P., Ihorn, S., Gordon, J., Walker, M., Abraham, L., & Marder, M. (2012). Development of the UTeach observation protocol: A classroom observation instrument to evaluate mathematics and science teachers from the UTeach preparation program . Unpublished paper. Southern Methodist University.

Walkowiak, T., Berry, R., Meyer, J., Rimm-Kaufman, S., & Ottmar, E. (2014). Introducing an observational measure of standards-based mathematics teaching practices: Evidence of validity and score reliability. Educational Studies in Mathematics, 85, 109–128.

Wasserman, N., & Walkington, C. (2014). Exploring links between beginning UTeachers’ beliefs and observed classroom practices. Teacher Education & Practice, 27 (2/3), 376–401.

Wilhelm, A. G., & Kim, S. (2015). Generalizing from observations of mathematics teachers’ instructional practice using the instructional quality assessment. Journal for Research in Mathematics Education, 46 (3), 270–279.

Williams, S., & Leatham, K. (2017). Journal quality in mathematics education. Journal for Research in Mathematics Education, 48 (4), 369–396.

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Acknowledgements

We would like to share our sincere appreciation to Timothy Folger, Maria Nielsen, and Davis Gerber at Bowling Green State University, and Dan Chibnall at Drake University for their assistance throughout this project.

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Jonathan Bostic, Kristin Lesseig, Milan Sherman, and Melissa Boston have contributed equally to this manuscript.

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Bowling Green State University, Bowling Green, OH, USA

Jonathan Bostic

Washington State University Vancouver, Vancouver, WA, USA

Kristin Lesseig

Drake University, Des Moines, IA, USA

Milan Sherman

Duquesne University, Pittsburgh, PA, USA

Melissa Boston

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Bostic, J., Lesseig, K., Sherman, M. et al. Classroom observation and mathematics education research. J Math Teacher Educ 24 , 5–31 (2021). https://doi.org/10.1007/s10857-019-09445-0

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Observational Assessments in K–2: Making Student Thinking Visible

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Posted in: Aha! Blog > Eureka Math Blog > Assessments Implementation Support Early Education Student Achievement Eureka Math Squared Kindergarten > Observational Assessments in K–2: Making Student Thinking Visible

Observational assessments are a great way to gather information about what students currently understand because observational assessments feel more like a conversation and less like a formal test. This encourages students to talk more about their thinking. When you observe students and ask them questions, you learn the mathematical errors they are making and misconceptions they have and why students are making those errors. You can spend less time worrying about formal assessments and more time focusing on what’s important, which is how to help each student broaden and deepen their understanding of mathematics. Let’s look at how to use Eureka Math 2 ® ’s observational assessments effectively.

Take inventory of all the assessments in the module.

For kindergarten, review the Observational Assessment Recording Sheet for the module as well as the Module Assessments, which are designed to be delivered as one-on-one interviews with your students. These can be found in the back of Teach or on the digital platform, in the Module Overview under the Resources tab. In grades 1 and 2, in addition to the Observational Assessment Recording Sheets and Module Assessments, review the Exit Tickets and Topic Tickets. You’ll find Exit Tickets and Topic Tickets embedded within each lesson in both Teach and in the online platform. Like kindergarten, Module Assessments and Observational Assessment Recording Sheets are found in the back of Teach or on the digital platform in the Module Overview under the Resources tab. Reviewing all these assessments helps you get a better sense of what is expected of students by the end of each lesson, topic, and module. Knowing what’s in each assessment helps you make decisions about which assessments to use.

Use the Observation Assessment Recording Sheet daily.

Since you are always observing and assessing students, you can note their proficiency journeys during daily lessons. Some teachers carry the observation recording sheets with them during the lesson, noting what they see in real time. Others choose to take a minute at the end of the lesson to jot down notes. In kindergarten, the observational assessments may be the primary form of assessment. In grades 1 and 2, they are an option to use instead of, or in addition to, written assessments. But how do you know what to look for in each lesson?

In Teach , the first page of each lesson lists the Achievement Descriptors associated with the lesson. These Achievement Descriptors are also on your observation sheets. For kindergarten, there’s a picture of the module recording sheet highlighting the Achievement Descriptors for the lesson. You’ll also see possible activities within each kindergarten lesson directly aligned to the descriptors. These will give you great opportunities to pause and gather some evidence. Another place to look is on the page following your Observation Assessment Recording Sheet where you’ll find a nice at-a-glance graphic showing you what you can observe throughout the module.

On the Great Minds Digital Platform, use the expand toolbox button located on the bottom left of any lesson in the teacher’s guide. The expanded menu includes a choice to show you exactly which Achievement Descriptors your students will be working toward in the lesson.

Grade 1 Level 1 Module 1 Achievement Descriptors and Content Standards at a Glance. A table with lessons 1 through 25, divided into topics A through D. Some lessons have a dot indicating that lesson’s achievement descriptor(s) and alignment with C C S S M. The dots are either solid or open. The solid dots signify focus content, and the open dots signify supplemental content.

Use additional assessment tools as needed.

The Module Assessment for kindergarten is an interview assessment. While you could interview every student one-on-one, you probably don’t have that kind of time. Instead, you may choose to use the Module Assessment to gather assessment information on a student if you don’t already have enough evidence from your daily observation. And don’t feel like you must use every single item with a student. Just use the items that give you the additional assessment data you need. Daily observational assessments save you time in the long run because they limit the need for the Module Assessments.

With first and second grade students, you’ll have more opportunities for students to show their thinking by using paper and pencil. For that reason, you can be more strategic about who you observe and when. Consider prioritizing observational data for students who still struggle with reading and writing. You’ll probably also notice students who are struggling with their Exit Tickets or Topic Tickets, but you may not be quite sure why. Using a mix of observational and pencil-and-paper assessments will help you maximize the effectiveness of assessment in your classroom, making student thinking visible.

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Jada Singleton

Jada Singleton

Jada Singleton is a Eureka Math Implementation Leader. She is a former administrator, instructional math coach, and teacher from Lafayette Parish School District in Louisiana.

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Using Positive Feedback in Math Classrooms

Providing math students with positive feedback can help them clarify their thinking, take risks, and apply concepts in new contexts.

High school student writes math equation on board with teacher

If you were a “good” math student, your teacher may have filled your papers with a checkmark next to each correct answer. But handing back “perfect work” with a slew of checkmarks is a missed opportunity for math teachers. Every time we provide a student with feedback, we have a chance to send a message. We can signal what we value and the strengths we see in the student’s work, providing insight into areas for growth and further learning. In math we value clarity and logic, creative solutions, perseverance, and curiosity. Used strategically, positive feedback can reinforce these cornerstones of the discipline. Although the examples I provide in this article are geared toward middle and high school math classes, positive feedback can be used at a variety of grade levels.

Reinforcing Effective Communication

Math teachers frequently ask students to show their work. When students give us insight into their thought processes by writing enough on the page, we can provide positive and specific comments in return. Our reinforcement helps students learn what specific aspects of their work were effective at clarifying their logic.

Here are some examples:

  • Your explanation here helps me see how you got from one step to the next.
  • The picture you drew helped me to understand how you’re thinking about this.
  • When you defined the variable before using it, I was able to follow your reasoning.
  • The sentence at the end helped me to see that this is your final answer.

All of these comments acknowledge the time that students put into explaining their reasoning. Providing positive reinforcement when students effectively convey their thought processes helps them develop into effective communicators of mathematics.

Recognizing a Mathematician’s Craft and Choices

Math teachers constantly remind their students that “there is more than one way to solve a problem.” This is true—the art of problem-solving allows students to discover elegant paths to a solution. Math talks have become popular because of their emphasis on multiple problem-solving techniques. The comments that we make on student work can reinforce the value of mathematical thinking.

You might write something like these:

  • I didn’t think of this strategy!
  • This is a clever implementation of factoring.
  • This step reminds me of the example we looked at when _____.
  • I like how you adapted the idea from _____ to this problem.

These comments will help students see their technique within the space of many pathways to a solution. When we reference the strategy that they used and contextualize it, we help them connect their problem-solving process to the content.

Celebrating Growth and Perseverance

Math is hard! Math teachers must find ways for students to grapple with the content and engage in productive struggle. If we give students credit for their progress and perseverance, we can encourage them to push through challenges the next time they arise.

Here are some examples of how you might emphasize growth and praise perseverance:

  • Great job catching the mistake here.
  • I can tell this was a long and messy computation. By keeping your work organized and sticking to your plan, you persevered.
  • I noticed that you had trouble with this skill in the last unit, but you have mastered it now! Great job sticking with it.

Students don’t always notice their own growth. When we can point it out to them, they see that their hard work and struggle is worth it.

Encouraging Reflection

When students perform at a high level, positive comments can push their thinking beyond the standard content. With feedback, we can inspire their curiosity and encourage deeper thinking.

Here are some reflective comments you could make:

  • What about this problem helped you realize that you needed this particular strategy?
  • How did you check your work?
  • What strategies did you use to keep track of all the steps needed to solve this problem?
  • How will you remember the connection that you made here?
  • What do you think would happen if the problem were slightly different? How would you have to adapt your approach?

All of these questions send the message that learning doesn’t stop at a perfect test score. We should continue to ask questions, pursue our curiosity, and find new and novel ways to apply what we’ve learned.

I hope that these ideas inspire you to provide comments beyond the simple check mark. We should be putting just as much care and attention into the feedback we provide to high-achieving students as what we give to students who need more practice.

While some may think that math teachers have it easy when it comes to grading, we shouldn’t take the easy way out. Writing a few comments might add a minute or two to the time it takes to mark a paper, but I assure you that the gains you will see in student confidence, motivation, creativity, and understanding will be worth it. By taking the time to provide meaningful, detailed, specific, and positive feedback, we provide all of our students the opportunity to grow.

Note: I wrote this piece after reading Alex Shevrin Venet’s “ How to Give Positive Feedback on Student Writing ,” because I was struck by how many of the guidelines that she provides are applicable to the math classroom. I recommend taking a look if you haven’t already!

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Classroom Observation

See this video in the context of an entire classroom lesson deb negrete videos, jaguanana lathan videos, resources for leadership and change: building a school culture of mathematical thinking.

Theory of Action

The First in Math Consortium is a subset of districts in SVMI that was chosen to work deeper and more systemically in changing learning experiences for students with the ultimate goal of improving students’ access to and success in higher mathematics. The theory of action is the frame for the comprehensive approach to working in concert with all the district-employed stakeholders.  Download

Pathways of Influence

This graphic shows the stakeholders within a school system and how learning is influenced. The math department is positioned in a very influential location to address and support teacher and student learning. This graphic communicates the importance of developing a math department into a learning community. It also illustrates how others can influence the work.  Download

Tracking and Assessing Cultural Shifts Ver. 1 & Ver. 2

A major emphasis of the initiative is to develop, support, and sustain professional learning communities as a structure for improving teaching and learning. This tool assists principals in assessing how their teachers are moving from traditional independent agents to learning communities that focus on student learning. There are two versions. The first has a more comprehensive view of the school, while the second is designed to focus primarily on the work of the math department.  Download Ver. 1  +  Download Ver. 2

Resources for Developing Faculty Capacity in Mathematics

Role Group Expectations

The document describes the roles and expectations each district stakeholder must meet to function in a systemic approach to improve math instruction. Making the expectation explicit is at the heart of working cohesively in a district organization.  Download

Tasks for Role Groups

This checklist accompanies the Role Group Expectations. It lays out the duties and jobs for the stakeholders. In this manner, everyone knows what they are expected to accomplish and how their duties align with the other stakeholders – where jobs/duties overlap and where they reside in relation to other work.  Download

Planning for Site-Level Work – Continuum of Roles

This instrument assists principals in planning their strategy and work in promoting professional learning communities within their school. It helps them look at the different change agents and assess where they are on the continuum. Utilizing personnel to support change is a critical leverage point for promoting change.  Download

Resources for Mathematics Engagement and Intervention

Re-Engagement Protocol

Use the steps outlined in the file linked here to re-engage students in the mathematics of a particular lesson.  Download

Intervention Worksheet

This instrument is built on Phil Daro’s work to describe the different levels that students struggle in school, in this case specifically in math class. The chart includes columns that describe what students need and suggest some interventions. There is space for principals to add information about intervention activities at their school. It works both as a needs assessment and for planning for the future. It supports principals in analyzing their school's intervention programs. Download

Reflection-Observation

This tool helps principals and site administrators reflect on observing mathematics classroom and department meetings. The classroom tool was designed to encourage the observer to focus more on students, their thinking, and mathematics. This tool is one device to make observing a classroom more than a mere “walk-through.” It shifts the focus away from examining artifacts (bulletin boards, students' seating arrangements) or evaluating teacher moves to a focus on student thinking and learning. Similarly, the department tool is used to gauge what the math department’s discussion is focused on.  Download

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All About Teacher Observations: How to Get Them Right

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More than a decade after being recognized as the Arkansas 2007 teacher of the year, Justin Minkel still found himself flustered when his principal slipped into the back row of class. “When my principal walks in with her laptop or a clipboard and pen, I’m instantly afflicted by a crippling self-doubt I haven’t felt since junior high,” the teacher wrote in a 2018 Opinion essay. “I scan the room with the alert panic a gazelle must feel when scanning the savannah for predators.”

Five years later, his jitters over observations— and his four tips for “surviving” them —continue to hit home for classroom teachers.

Earlier this school year, when the essay was reshared on Facebook, teachers flocked to the comments to affirm that teacher observations remain a perennial concern. In a lively conversation of 280 comments , readers volunteered their own success stories of the observation process working well and commiserated over their shared frustrations.

“I personally don’t mind them,” wrote Facebook commenter Lacey Peters, “because I am a self criticizer and usually the admin is saying much more positive things about my teaching even when I think the lesson went horribly!”

“I don’t have feelings of self-doubt,” another commenter, Rebecca Salomonsson, wrote, “I have feelings of resentment that someone is in my room actively taking notes on me. What other profession does this to its professionals? My husband is an engineer. He is trusted to do his job.”

In many commenters’ impressions of being observed, the deciding variable seemed to be how much they trusted the administrators observing them. How to build a bridge of support rather than judgment between teacher and principal has long been a source of inquiry for educators writing in Edweek’s Opinion pages.

In her 2022 essay “ The Most Important Thing Principals Can Do in a Teacher Observation ,” English teacher Kelly Scott charts the lasting impact of a single moment of encouragement in her first year of teaching. That memorable observation started with just one word: “ Wow!”

“He knew that what I really needed—more than professional development, more than goal setting and professional standards—was someone to cheer me on,” she recalled of her administrator’s enthusiastic feedback during that vulnerable first observation.

Leading with enthusiasm isn’t the only advice teachers have to offer the observers coming into their classrooms. Two years ago, when teacher blogger Larry Ferlazzo asked his peers for best practices when administrators (or other teachers) observe their lessons, 19 contributors shared their own ideas. His four-part series on the topic rounded up a slew of their actionable guidance and emotional reflections:

  • 18 Ways to Improve Teacher Observations
  • How to Make Teacher Observations (Almost) Stress-Free
  • Throw Out the Protocol for Teacher Observations. Use Common Sense Instead
  • How to Create a Positive Atmosphere for Teacher Observations

It’s not just teachers with a stake in the observation process; administrators have had their say as well.

Last year, Atlanta Assistant Principal NaTasha Woodey-Wideman explained that not every professional learning effort has the same goal—but they all reflect a leader’s instructional values.

In “ How You Deliver Professional Learning Says a Lot About You ,” she urged principals to be intentional about the goals of a specific professional learning effort and then use teacher observations in service of those goals: “If the focus of a session is to provide teachers with tools for formative assessment, the lens of subsequent teacher observations should be formative assessment. After a session on building a strong classroom culture, walk-throughs should focus on culture.”

Soon after, Woodley-Wideman joined principal-turned-leadership-coach Opinion blogger Peter DeWitt for a live online discussion to consider how educator professional learning can move beyond the “sit and get” model.

In the discussion, her guidance began with a reminder that professional learning efforts should put an emphasis on the learning : “We tend to forget that teachers are also learners.”

She concluded her advice by flipping that formulation for school leaders. “Never forget you are a teacher,” she reminded building leaders. “Your classroom is that entire building.” (You can watch the full discussion on-demand for free here .)

Nearly a decade before their conversation, DeWitt was already beating the drum for principal introspection, asking readers: “ Leaders: Are Your Teacher Observations Active or Passive? ”

He cautioned against a box-checking approach to teacher observations, noting, “It is often seen as a process to get done ... instead of a process to get done right.” Principals need to structure the process less like distant evaluators and more like instructional coaches, DeWitt proposed.

That’s a call to action that has been echoed by other educators since, including in David Edelman’s “ Teacher Evaluation That Goes Beyond Check Boxes .” The most helpful post-observation feedback from his years in the classroom, he wrote in the 2016 Opinion essay, came from an informal collaboration with a fellow teacher who engaged deeply with his instructional practice rather than merely handing out a rating.

In the not-so-distant future, some of those moments of professional coaching may not just come from fellow teachers—or even fellow humans. Drawing on their work designing a natural-language-processing tool to provide teachers immediate feedback after a lesson, researchers Jing Liu, Dora Demszky, and Heather C. Hill invited readers to “imagine a world where we could harness the power of AI to provide teachers with automated, valuable feedback.”

That world shouldn’t come at the expense of interpersonal relationships in schools but rather work in service of building even stronger ones, they argued in “ AI Can Make Education More Personal (Yes, Really) ” this past summer.

Whether tech-assisted or otherwise, one thing remains true: There’s no ignoring the emotional vulnerability of the teachers being observed.

After all, to return to Justin Minkel’s appraisal of the observation process, the stakes can feel high. “It’s not just our professional competence that’s wrapped up in an observation,” he reminded readers, “but a sense of our worth as human beings.”

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IMAGES

  1. Math Observations Recording Sheet

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  2. 3. Observations and Assumptions

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  3. PSMT Task for Yr 11

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  4. Observation Table Lloyd (1)

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  5. Math Observations

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  6. math observation checklist Doc Template

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VIDEO

  1. Formal Observation Video #2 Math

  2. Lesson/Observation 5: Math (Adding Within 1-10)

  3. Math Unit Lesson Observation 1

  4. Lesson/Observation 4: Math (Counting 1-10)

  5. ।।Std-5th Maths Assignment All Question Solution। Vikas 2024 #learningadventures #academic #study

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COMMENTS

  1. Video 3: How to write a PSMT

    For Maths students in QLD: In this video you will find out the difference between an observation and an assumption, how to set them out in your PSMT, and a b...

  2. QCAA Maths Methods PSMT

    A PSMT is an assessment task designed to evaluate your ability to respond to an investigative mathematical scenario or stimulus. The specific task provided will be related to the mathematical concepts and techniques you have been learning in class. You will be required to create a written report, no longer than 10 pages and 2000 words, to ...

  3. Observing Mathematics Lessons

    Valid classroom observation needs to encompass them. This tool enables observers, with a strong math background or not, to develop those observational skills.The tool supports a 90-minute workshop that, first, offers participants an opportunity to reflect on the various reasons for observing lessons, some issues around lesson observations, and ...

  4. Chapter 1, Observations

    Chapter 1, Observations. "…observation, while perhaps the most informal and readily used of the five formative assessment techniques presented, is both taken for granted and, at least to an extent, the least understood of the five techniques.". The Formative 5, page 23. This post contains affiliate links, which simply means that when you ...

  5. 2. Making Assumptions

    Gathering Information If I knew_____, I could figure out_____ (For example, If I knew the cost of a school bus for a field trip, then I could figure out the cost of the transportation.. If I knew how many students and chaperones were coming on the trip, then I could figure out the total number of school buses we would need.. Standard for Mathematical Practices:Reason abstractly and quantitatively.

  6. PDF Mathematical Observations: the Genesis of Mathematical Discovery in The

    Mathematical observations and the scientific method. A mathematical observation is the detection or assertion of a truth in the context of a mathematical activity. Making observations is necessary in solving a problem, whether the problem falls in the realm of mathematics or the physical sciences. In fact, "from the recognition of a problem ...

  7. 4.7 Observational Studies and Experiments

    Here are some examples of experiments: A pharmaceutical company tests a new medicine for treating Alzheimer's disease by administering the drug to 50 elderly patients with recent diagnoses. The treatment here is the new drug. A gym tests out a new weight loss program by enlisting 30 volunteers to try out the program.

  8. PSMT Part 4 Observations

    This is one in a 10 part video series in PSMT writing (problem solving and modelling task).These videos are designed for Queensland Maths students studying G...

  9. Observation

    Observation. Teachers constantly use informal observation to monitor student responses to classroom experiences. However, to be an effective assessment approach, observations need to be more purposeful and deliberate. Observation situations should be planned. Some possibilities include: targetted student-centred learning activities ...

  10. Classroom observation and mathematics education research

    Classroom observations have become an integral part of mathematics education research for several important reasons. First, the nature and quality of classroom instruction matters, as student learning is highly dependent on the mathematical opportunities made available in the classroom (Donovan and Bransford 2005; National Council of Teachers of Mathematics [NCTM] 2014).

  11. Video 4: How to write a PSMT

    For Maths students in QLD: In this video you will find out how to transform a stated observation/assumption into one that is documented. Lots of worked examp...

  12. PDF The Mathematics Improvement Network

    The Mathematics Improvement Network

  13. PDF Observing effective mathematics teaching: a review of the literature

    used in the observation of teaching in mathematics. This includes frameworks specifically designed for international comparisons of teaching practices and teacher effectiveness, as well as those used for teaching development. Classroom observations can be used in a variety of ways, but they are primarily for

  14. Observing a maths lesson

    Observing a maths lessonby Cordelia MyersContext:This thinking was initiated by the Fenland Headteachers. They asked me to consider: "What does an effective maths lesson look like with the new emphases?" They wanted to know what to look for in an observation and how should this be different from previous observations.This is an exciting question and I have enjoyed thinking about what ...

  15. Observational Assessments in K-2: Making Student Thinking Visible

    Observational assessments are a great way to gather information about what students currently understand because observational assessments feel more like a conversation and less like a formal test. This encourages students to talk more about their thinking. When you observe students and ask them questions, you learn the mathematical errors they ...

  16. PDF SVMI Classroom Observation Guide

    The SVMI Observation Guide is a two-pronged tool used by coaches Drawing heavily on the vision of math teaching portrayed in the SVMI math teachers rubric, the guide can be used both to help focus classroom observations and as a discussion guide to help focus pre- and post- conferences between teacher and coach.

  17. MAA Blog: Articulating Our Assumptions

    Articulating our Assumptions: A short math classroom exercise. By Carrie Diaz Eaton. Hi friends! This semester, for the first time, I am teaching a first-year seminar course. Many small institutions may have this sort of course, where first semester students can gain an introduction to the college and also to an interesting topic at the same ...

  18. PDF Guidelines for Observation Assignments GENERAL INSTRUCTIONS

    3. Your observations must include the following 3: a math class using technology in the teaching of a concept, a math class being taught a developmental (remedial) lesson, and a geometry class. The remaining observations can be your choice of math classes. 4. You must write up the 3 common experiences stated above using the following guidelines.

  19. How to Write a PSMT for QCAA General Maths IA1

    A Note About Referencing for the Maths PSMT. The referencing style will be specified by your teacher, but whenever writing about datasets obtained by someone else, or when citing concepts that do not come from your own understanding, you should always reference in-text. The bottom line is, any reference you include in your reference list should ...

  20. Using Positive Feedback in Math Classrooms

    Providing math students with positive feedback can help them clarify their thinking, take risks, and apply concepts in new contexts. If you were a "good" math student, your teacher may have filled your papers with a checkmark next to each correct answer. But handing back "perfect work" with a slew of checkmarks is a missed opportunity ...

  21. Classroom Observation

    This tool helps principals and site administrators reflect on observing mathematics classroom and department meetings. The classroom tool was designed to encourage the observer to focus more on students, their thinking, and mathematics. This tool is one device to make observing a classroom more than a mere "walk-through.".

  22. PDF Mathematical Methods 2019 v1

    Any reaction time less than 0.1 s is considered a false start by World Athletics (World Athletics, 2020), so, the maximum gain that can be made by Bolt is 0.083 s. If Bolt improved his reaction time by 0.04 s to be 0.143 s without changing any other aspect of his race, this would act as a translation to the model.

  23. Maths PSMT PDF final

    In mathematics a function is an expression or rule which defines the relationship between the independent and dependent variable. ... Observations: In this task, it can be observed that: ... The objective of this assignment was to develop polynomial models to determine the optimal flight time of a whirlybird and to.

  24. All About Teacher Observations: How to Get Them Right

    18 Ways to Improve Teacher Observations. How to Make Teacher Observations (Almost) Stress-Free. Throw Out the Protocol for Teacher Observations. Use Common Sense Instead. How to Create a Positive ...