Abstract
The lasting effects of teacher professional development (PD) are seldom examined. We investigated whether 44 teachers and their Grade 5 and 6 primary classes continued working with tasks for mathematical reasoning and employing a rubric after the PD finished. Questionnaires for students and teachers were administered before the intervention, at the end of the intervention, and 5 months later. The results of the longitudinal quantitative analyses with supplementary qualitative interpretations indicated that the mathematical reasoning features of the PD showed more sustainable effects than the use of the rubric. Explorative findings suggest that this outcome may be related to the teachers' pedagogical content knowledge.
Introduction
Many studies in the field of teacher professional development (PD) report positive effects of their PD. However, how long lasting are the effects of such PD? Do all teachers who receive the PD continue with the objectives of the project? Research frequently notes the limited effects of various PD programs (Borko, ; Yoon et al., 2007). Powell et al. () draw attention to the fact that a critically important question is whether PD approaches show sustainability in instructional practices beyond the period of PD support. Follow-up studies of teacher PD projects are still rare.
The starting point of this study was the end of a teacher PD project, which aimed to introduce rubrics as a means to improve the practice of formative assessment in primary school classes. We found positive effects for our control-group intervention with rubrics on the teachers' practice of assessment and feedback. With respect to the students, the project had positive impacts on their self-regulation competencies and their self-efficacy beliefs (Smit et al., 2017). Irrespective of whether students were in the “intervention” or “control” group, all students developed their mathematical reasoning abilities. At first sight, the project was successful. However, what happened after the project finished? Were there any longer-term effects of the PD project on primary teachers' use of rubrics in mathematics?
Sustainability of Teacher Professional Development
Teacher professional learning is a complex process, which requires the cognitive and emotional involvement of teachers individually and collectively, the capacity, and willingness to examine where they stand in terms of their convictions and beliefs, and the perusal and enactment of appropriate alternatives for improvement or change (Avalos, ). To understand and explain why and how teachers learn, we must consider how a teacher's individual learning orientation system interacts with the school's learning orientation system, and how both systems together affect the PD activities (Opfer and Pedder, ). In addition, researchers also argue that successful PD cannot be divorced from teachers' own classroom contexts (Lieberman and Miller, ). Instead, PD must approach teacher learning as a dynamic, active process where teachers engage directly with student work, obtain direct feedback on their instruction, and review materials from their own classrooms (Garet et al., ; Desimone et al., ).
Guskey () identified five levels that need to be evaluated in order to determine the success of a PD program. The first three levels evaluate the teachers' reactions to the PD, their learning from the PD, and the level of support from their schools. The fourth level targets information on changes teachers make in their professional practice. Such evidence cannot be gathered at the end of a PD session or program. Enough time must pass to allow teachers to adapt the new ideas and practices to their settings (Guskey, ). Unfortunately, quite a few PD interventions in education are not long lasting, although empirical results are few. A dialogic reading study by Whitehurst et al. (1994) revealed that the teachers discontinued using dialogic reading strategies at the end of the intervention phase. Franke et al. () conducted a follow-up study 4 years after the end of a PD program on understanding the development of students' mathematical thinking. The results showed that only about half of the teachers in the project group became engaged in on-going learning while the others did not. The researchers proposed that it is teachers' engagement with student thinking that determined who developed further and who did not. Borko et al. () also reported this finding when they found that the two participating teachers in a follow-up study both commented that they had been surprised at their students' capabilities in problem-solving activities. As a result, both teachers raised their expectations for the students and allowed them to take more active roles in their own learning.
The students themselves might also hinder sustainable implementation. According to Yeager and Walton (2011), socio-psychological interventions in education have several underlying constraints that would prevent them from being long-lasting. For example, some students experience poor performance in classroom tests that could undermine the motivation to employ self-assessment strategies and to see mistakes as information for self-regulated learning. However, this is beyond the scope of this paper. In the next section, we present the background for our teacher PD project.
Rubrics as a Tool for Formative Assessment
The assessment of a student's learning, with the help of a rubric for example, is part of the teaching process. Following the work of Black and Wiliam (), the Assessment Reform Group (ARG) () defined formative assessment as the process of seeking and interpreting evidence for use by learners and their teachers to establish where learners are in their learning, where they need to go, and how best to get there (Wiliam and Thompson, 2007). The formative assessment process can be seen as a cycle with three components (Figure 1). One component requires the teacher to clarify the learning (and assessment) targets. A rubric helps make these targets transparent to students by describing the criteria they need to reach. For a full understanding of the criteria, it is helpful to engage the learners in peer and self-assessments. A second component indicates that teachers support students in the learning process. This involves the ongoing assessment of students' learning and a diagnosis of any specific learning problems that need to be acted upon. Again, a rubric can guide the teacher while they observe a student performing the relevant tasks. As part of the cycle's third component, a rubric enables the teacher to give criteria and target-related feedback to the learner. In addition, the teacher can provide further instruction that helps the student to reach the next learning level. If all of this occurs in a way that enhances learning, a positive effect on the student's intrinsic motivation can be expected (Harlen, ; Moss and Brookhart, ). Intrinsic motivation is also fostered by self-assessment, making the students more autonomous learners who can self-regulate their own learning (Paris and Paris, ). Peer and self-assessment are two of the five key formative assessment strategies proposed by Black and Wiliam (, p. 8), and they formed part of our PD.
Figure 1
Rubrics help teachers evaluate complex competencies assessed in authentic performance assessments, such as written compositions, oral presentations, or science projects (Montgomery,
Rubrics are helpful guidelines for teacher feedback on students' actual levels of performance and for indicating the next steps for improvement. Although rubrics make goals more transparent, they are neither sufficient nor very effective if teachers simply hand them out without providing information for individual improvement (Andrade et al.,
A rubric is not only a tool for assisting teachers; it can also be beneficial for students. Used as a self-assessment tool, rubrics can help students improve their self-efficacy, reduce anxiety, and foster their ability to self-regulate their learning (Panadero and Jonsson,
In our pilot study, we developed a rubric aligned to the Swiss standards (Smit and Birri, 2014). The rubric was designed to support teachers in giving feedback to students working on mathematical reasoning tasks. We constructed the rubric for use in Grades 5 and 6, although with a few adaptations, it could also be applied in higher grades. In primary schools, mathematical reasoning is used, for example, when exploring patterns and describing relationships. The introduction of algebraic reasoning into primary classrooms requires teachers to develop new competencies, as most teachers at this level have little experience with the rich and connected aspects of algebraic reasoning (Blanton and Kaput,
Following the theoretical outline, we formulated the following research questions:
Do teachers continue to use the practices implemented in the PD project?
How do the teachers' formative assessment practices change after the PD project?
Which teachers continue to use a rubric as part of their formative assessments?
Methods
Design
Our project, “Learning with rubrics,” began in 2015 and ran for 2 years. It was conducted at two teacher education universities in Switzerland (St. Gallen and Zug). The research design was quasi-experimental and longitudinal, and is set out in Table 1. Prior to the intervention phase (T1), we assessed students' mathematical reasoning abilities, and teachers and students completed questionnaires on their attitudes and related aspects of teaching, such as feedback quality. Next, all teachers participated in a 1-day workshop about the theory of mathematical reasoning. The same team members conducted the workshop. As part of the workshop, the intervention group (IG) received information about the use of rubrics, while the control group (CG) discussed mathematically tangential content on how to adapt textbook tasks.
Table 1
| T1: August 2015 | T2: November 2015 | T3: March 2016 | ||
|---|---|---|---|---|
| Data collected | Intervention/Workshop sessions | Data collected | Evaluation/Workshop sessions | Data collected |
| Teacher q're Student q're Test of Math. Reasoning | Session: All teachers Mathematical reasoning IG: Use of rubrics CG: Mathematical representations Intervention: All teachers Implement lesson plan/script each week for 9 weeks IG: Lesson plan with rubric CG: Lesson plan and tasks for mathematical representations | Teacher q're Student q're Test of Math. Reasoning | Session: All teachers Evaluate the PD IG: Mathematical representations CG: Use of rubrics | Teacher q're Student q're Test of Math. Reasoning |
Research design.
IG, intervention group; CG, control group.
The PD lasted for 9 weeks, and all teachers were given a detailed lesson plan with a strict script each week for teaching mathematical reasoning. These plans entailed a socio-constructivist orientation, with collaborative group or peer work included in most lessons (e.g., the placemat technique). In the IG, the lesson plans included rubrics for self-assessment and teacher feedback. At the end of the PD, the teachers participated in a workshop to evaluate the PD. At that time (T2) we assessed students' mathematical reasoning abilities again, and students and teachers completed a second questionnaire. One part of the second workshop was used to evaluate the PD phase, while the second part was used to deliver the information that each group, respectively, missed in the first workshop. Thus, the IG was informed about mathematical representations among primary students, and the CG learned about the use of rubrics in formative assessment. About 5 months after the end of the PD (T3), students were assessed again on their mathematical reasoning abilities and students and teachers were asked to provide information about any on-going use of project tools (e.g., the rubric, the mathematical reasoning tasks, the teaching methods). The questionnaires and mathematical reasoning test were employed a third time. The choice of T3 was related, in part, to the 2-year project time granted, and it provides a first insight only into the on-going implementation of the project aims.
Sample
The teachers for our project were recruited with the help of an advertisement in the local teacher journal, and by personal requests. The initial sample consisted of 45 full-time teachers from two Swiss cantons (regions). Twenty-five teachers were women and 20 were men; the mean age was 41 years, and the mean service age was 11 years. Nine teachers taught Grade 5 classes, and 18 teachers taught Grade 6 classes. The remaining 18 teachers taught multi-grade classes with 4 teachers teaching Grade 4 students. The teachers were allocated to the intervention group (IG) or the control group (CG) using a “partly random” procedure so that there was an equal distribution of teachers by gender, age, grade level, and canton (district). Therefore, the IG and CG were parallel in relation to these variables. Twenty-two teachers participated in the intervention group (IG), and 23 participated in the control group (CG). During the project period, one teacher dropped out because of a heavy workload involving daily classroom work, and at T3, another two teachers withdrew for the same reasons. Thus, we obtained datasets for 44 classes with 23 students in Grade 4, 337 in Grade 5 and 402 in Grade 6 (totaling 762 students). Some students were missing at T2 and T3. Fifty-two percent of the students were boys and 48% were girls. For 25% of all students, German was not the main language spoken at home.
Instruments
Questionnaires
We employed questionnaires, one for the teacher and one for the students. In each questionnaire, a bundle of items were repeated at each time point complemented by items appropriate for a particular single time point. Background variables also included information on the students' nationality and special needs. Both questionnaires consisted of scales related to the model depicted in Figure 1. These scales for assessment and diagnosis skills, supportive feedback and peer and self-assessment were constructed based on existing items (Smit, 2009; Brown et al.,
We mostly utilized a 6–point Likert scale for the questionnaire items. For example, for indicating the level of agreement to a statement, the scale was: 6 = absolutely agree; 5 = agree; 4 = somewhat agree; 3 = somewhat disagree; 2 = disagree; and 1 = absolutely disagree. For indicating how often certain situations occur during math lessons, the scale was: 6 = always; 5 = almost always; 4 = often; 3 = sometimes; 2 = seldom; and 1 = never. All items are presented in the Supplementary Material.
Five teacher scales for the study included: “Assessment and diagnosis” with 3 items (α = 0.75); “Supportive feedback” with 8 items covering task-, process-, and self-regulation and self-level (α = 0.73); “Peer and self-assessment” with 4 items (α = 0.79); “Transmissive beliefs” with 3 items (α = 0.63); and “Function of word problems” with 4 items (α = 0.63). Three student scales comprised: “Peer and self-assessment” with three items (α = 0.52); “Supportive feedback” with 5 items (α = 0.68); and “Assessment and diagnosis” with 5 items (α = 0.75). All Cronbach's alpha values were related to T1. For T2 and T3, the alpha values were mostly slightly higher.
Data Analysis
There were some missing values among the students who completed the questionnaire about their perceptions of feedback and assessment quality. Missing values also occurred for a few teachers. Given that these missing values were not due to the design of the study, we assumed that they occurred randomly and consequently applied the full information maximum likelihood (FIML) procedure as a model-based treatment of missing data (Enders,
As part of the qualitative analysis for each of the open questions, a standard thematic coding process was conducted (Braun and Clarke,
The quantitative teacher and student data are presented descriptively, along with correlation coefficients. The interval between each category on the Likert scale were assumed to be approximately equal. This allowed us to conduct t-tests to check for IG and CG differences. Similar tests were used to determine change over time. Finally, we applied structural equation modeling (SEM) using the software Mplus Version 8 to test the relationships of the latent variables. As a combination of factor analysis and path analysis, SEM is appropriate for testing proposed theoretical models with latent variables. Because the units of analysis included teachers, and students nested within classrooms, a multilevel analysis was also applied. This procedure assumes that teachers influence students, and individual students in turn influence the properties of the class. As a consequence, variables may be defined at the student level and the class/teacher level.
All models were estimated with manifest variable indicators (parcels of items) to reduce the number of parameters calculated in complex models as a result of the sample size (Boivard and Koziol,
Results
Do Teachers Continue to Use the Practices Implemented in the PD Project?
To answer our first question, we analyzed four single questions of the teacher questionnaire completed almost 5 months after the end of the project. Table 2 shows how frequently teachers reported that they still practiced four elements of the PD and Table 3 shows similar information for the IG and the CG separately. Our project was advertised as PD in the area of mathematical reasoning and in connection with the new Swiss curriculum 21. The rubric was introduced to enhance the students' learning of mathematical reasoning. Therefore, it was not very astonishing to find that the mean frequency of all teachers using mathematical tasks for reasoning and representation related to the PD and less with the rubric or making adaptations of textbook tasks. The variance (or S.D.) between the teachers was relatively high for all four project targets (ranging between 0.98 and 1.21). There were some teachers who continued using a rubric about every fortnight or more often, and some who never used it. From the correlations presented in Table 2, it might be deduced that the frequency of a rubric's application might have depended on the availability of appropriate reasoning tasks. Those teachers who had the time and the competence to adapt ordinary textbook tasks to make them suitable for mathematical reasoning also made more use of the rubric after the project finished. Teachers who worked less frequently with reasoning tasks in the classroom used a rubric less often. At first glance, one of the project's intentions, the introduction of tasks for mathematical reasoning and partly also for representation in daily classroom practice, demonstrated more sustainable effects. The teachers carried on applying such tasks between once a week and every fortnight. More surprising however, was the fact that not even the IG showed a more frequent use of the rubric than the CG (Table 3). If we look at it more closely, then we see that this outcome is much more the case for the teachers in the CG than for those in the IG (Table 3). One reason could be that teachers in the CG were required to adapt textbook tasks as part of the project implementation phase, while teachers in the IG worked with the rubric in the classroom.
Table 2
| Frequency of use | Intercorrelation coefficients | ||||
|---|---|---|---|---|---|
| Mean | S.D. | 1 | 2 | 3 | |
| 1. Rubrics | 1.88 | 0.98 | |||
| 2. Tasks for reasoning | 3.19 | 1.12 | 0.06 | ||
| 3. Tasks for representation | 3.63 | 1.13 | 0.11 | 0.39** | |
| 4. Adaptations of textbook tasks | 1.98 | 1.21 | 0.32* | 0.25 | 0.41** |
Mean and standard deviation and intercorrelation coefficients of how frequently all teachers implemented the four project objectives 5 months after the project (T3).
N = 44;
p < 0.05;
p < 0.01. Likert scale: 1 = never, 2 = once a quarter, 3 = once a month, 4 = once every fortnight, 5 = once every week, 6 = several times a week.
Table 3
| Frequency of use | |||||
|---|---|---|---|---|---|
| Intervention group | Control group | t-value | |||
| Mean | S.D. | Mean | S.D. | ||
| Rubrics | 2.01 | 0.95 | 1.80 | 1.01 | 2.92 |
| Tasks for reasoning | 2.77 | 0.92 | 3.53 | 1.16 | −9.99** |
| Tasks for representation | 3.51 | 0.96 | 3.82 | 1.17 | −3.91** |
| Adaptations of textbook tasks | 1.56 | 0.90 | 2.41 | 1.31 | −10.31** |
Means, standard deviations, and t-values for group differences in how frequently teachers used four aspects of assessment 5 months after the project finished (T3).
Intervention Group: n = 22/Control Group: n = 22;
p < 0.01. Likert scale: 1 = never, 2 = once a quarter, 3 = once a month, 4 = once every fortnight, 5 = once every week, 6 = several times a week.
The additional qualitative data illustrated how approximately one-third of the teachers further developed the use of rubrics after the end of the project. Some teachers merely continued working with the project rubric in their mathematics lessons. Others adapted the rubric for use in mother tongue (German) language lessons, e.g., as a mean for generating feedback for writing texts, for reading, or in oral situations. In science lessons, rubrics helped to assess student projects or presentations. The rubrics were applied for student self-assessment as well as for teacher assessment. When the teacher used the rubric, this action was often done in a summative way. As a starting point for the development of their own rubrics, a few teachers adapted existing rubrics from teaching books, or they turned criteria lists into rubrics. Existing rubrics were also revised, e.g., to make the level descriptions more substantive.
‘I adapted the rubric for the self- and teacher assessment of student self-chosen topics as well as text writing.’ (t 01GMR)
‘I added clear criteria to my own rubrics. I handed out my scoring rubrics to the students, which helps them to orientate themselves.’ (t 23LLJ)
‘Yes. [I created my own rubrics] with the help of learning goals in schoolbooks and the brochure, “Supporting and challenging students”.’ (t 10FFF)
As already noted, teachers worked more frequently with reasoning and representation tasks in the classroom. They even transferred reasoning exercises to other subjects.
‘Reasoning has become a more prominent competence during the school year. We argue much more, e.g., in the classroom council, in science, in German and in mathematics.’ (t 04CPG)
Apart from these results, some teachers took up pedagogical and methodological features from our lesson scripts. For example, three teachers mentioned that they used cooperative teaching methods, such as, placemat or jigsaw exercises more often.
How Do the Teachers' Formative Assessment Practices Change After the PD Project?
To answer the question whether the teachers developed their formative assessment practices after the project finished, we used students' perceptions to complement the teachers' self-reported qualitative data discussed below. A paired t-test for each assessment practice was conducted to explore differences over time and is reported in Table 4. According to the students, teachers' competence in assessment and diagnosis remained at the same level between T2 and T3. However, students felt that the amount of supportive feedback and peer or self-assessment decreased significantly. To check the reliability of the findings, we triangulated the student data with the teacher data to see whether there were any differences between each group's perceptions (Desimone et al.,
Table 4
| Students' perception of formative assessment practices | |||||
|---|---|---|---|---|---|
| T2 | T3 | t-value | |||
| Mean | S.D. | Mean | S.D. | ||
| Teachers' assessment/diagnosis | 4.31 | 0.63 | 4.33 | 0.67 | −0.941 |
| Peer and self-assessment | 3.37 | 1.27 | 3.09 | 0.97 | 8.741** |
| Supportive feedback | 4.08 | 0.83 | 3.70 | 0.57 | 14.592** |
Change in students' perceptions of formative assessment between the end of the project (T2) and 5 months later (T3).
N = 746,
p < 0.01. Likert scales; 1 = never, 2 = seldom, 3 = sometimes, 4 = frequently, 5 = often, 6 = always OR 1 = not agree at all, 2 = not agree, 3 = rather not agree, 4 = rather agree, 5 = agree, 6 = fully agree.
The qualitative teacher data showed that approximately one quarter of all responding teachers did not change their feedback practice. Approximately half of the teachers in both groups developed their formative assessment practices in some way. For example, teachers more often gave individual, systematic, conscious, and frequent feedback to students—in verbal and in written ways. However, one difficulty encountered was the time needed for giving individual feedback to each student. The teachers now gave greater weight to students' approaches to solving a mathematical task and less weight to the correct solution of a mathematical task, making feedback more formative. By making the learning process the focus of closer attention, the students gained process knowledge, their thinking was stimulated, and they gained better self-assessment results. In general, more time was spent discussing student solutions. Three teachers mentioned explicitly the benefit of employing rubrics: students learned to do peer and self-assessment.
‘Yes, it is important to me, that the students develop the competence to self-assess and that they realize that it not enough to just present a solution, not only in mathematics but also in other subjects.’ (t 01ALI)
‘The students learned to give better-aimed feedback, e.g., with respect to process and explanation of the solution.’ (t 01GMR)
‘I give the students more time to exchange thoughts with other students. We discuss student solutions with the help of worked examples.’ (t 29WKM)
In a next step, we were interested to determine whether there was a lasting impact from our intervention by looking at those teachers who continued working with rubrics and how their classes perceived the three measured aspects of formative assessment 5 months later. The model in Figure 2 implies that the use of the rubric and the teacher's assessment precede giving supportive feedback. Both also influence the frequency of peer and self-assessment practices employed by the teacher. The rubric offers criteria for peer and self-assessment, and according to formative assessment theory, two forms of student assessment should support the teacher's assessment/diagnosis (Black and Wiliam,
Figure 2

Standardized coefficients for the multilevel model of students' perceptions related to formative assessment and the teachers' use of rubrics. Nbetween = 42, Nwithin = 677; *p < 0.05; (t) = item of teacher questionnaire.
A first SEM was calculated using MPlus 8 with maximum likelihood estimation (MLR), and good fit values were obtained for a model with latent factors and manifest indicators [ = 0.00, CFI = 0.94, TLI = 0.92, RMSEA = 0.04, SRMRwithin = 0.04, and SRMRbetween = 0.13]. However, because the sample size is rather small, and many parameters needed to be calculated, these fit values were not completely trustworthy. Therefore, a similar model with parceled items was produced, meaning a total mean score for each scale was generated. This model with a reduced number of parameters (Figure 2) showed similar regression coefficients for each path as the model with manifest indicators. Finally, we switched to Bayesian estimation, which allows for better model estimation because large-sample theory is not needed (Muthén and Asparouhov,
A similar pattern was found at the class level, but overall, the path coefficients were slightly higher than at the student level. Most interesting was the additional teacher variable “frequency of the use of rubrics.” In classes where the teacher used rubrics more often, the class seemed to receive more supportive feedback and to conduct more peer and self-assessment. However, the frequency of using the rubric was not related to the helpful assessment/diagnosis of the teacher. In the students' eyes, the teacher could assess/diagnose well independent of using a rubric. The students saw the rubric mainly as a help to guide their learning and to determine where they were at the moment with respect to the goals.
Which Teachers Continue to Use a Rubric as Part of Their Formative Assessments?
Finally, we explored why some teachers used rubrics more often than others after the project finished. From theory (see section Introduction), it might be concluded that beliefs and pedagogical content knowledge (PCK) for mathematics have an influence on teachers' instructional practices. Therefore, we checked whether our scales for teachers' transmissive beliefs and the teachers' knowledge about the function of word problems might help to shed light on this question. While we could not find any relationship between the teachers' more traditional beliefs on teaching mathematics and the continuing use of rubrics, the results for the teacher knowledge about the function of word problems (PCK) were more elucidating. The related knowledge items are part of the curriculum knowledge in the domain map for mathematical knowledge of Hill et al. (
We again calculated an SEM (Figure 3) using MPlus 8 with maximum likelihood estimation (MLR), and obtained good fit values (CFI = 0.99, TLI = 0.97, RMSEA = 0.06, and SRMR = 0.03). The model explained 22% of the variance between the teachers using rubrics at T3 and 48% of the variance between the teachers employing assessment/diagnosis practices at T3. As shown in Figure 3, there was quite a strong relationship between the teachers' knowledge about the function of word problems (PCK) at T1 and how frequently a rubric was used after the project finished. Higher self-assessed PCK also correlated with higher self-perceived teacher assessment/diagnosis at T1. Both variables were relatively stable over time. Although there were no other significant paths connected to the use of a rubric, it is interesting to see that the word problem-specific PCK at T3 also predicted which teachers said they practiced assessment/diagnosis at T3. Thus, teachers' PCK seemed, in some way, to play a role when PD for formative assessment is expected to have lasting effects for classroom practice. This result is similar to a comparable outcome from Diedrich et al. (
Figure 3

SEM model for the influence of teachers' knowledge about word problems on the use of rubrics and on teachers' assessment competence (teacher perceptions). N = 42; *p < 0.05; (PCK) = pedagogical content knowledge. All estimates are standardized.
Discussion and Conclusions
Our aim was to obtain an impression of the longer-term effects of the teacher PD project. We acknowledge that 5 months is not a very long time to check whether the teachers participating in the project had implemented any changes. However, the rather short time period was determined by the length of time for the project. Nevertheless, investigations of what occurs once a teacher PD finishes is only seldom pursued and therefore are of particular interest. We investigated the following three questions: 1. Do the teachers continue with the project objectives? 2. How do the teachers' formative assessment practices develop after the project's end? 3. Which teachers continue using a rubric as part of formative assessment?
With respect to the first question we can state that most teachers continued mainly with applying mathematical tasks related to the PD and less with the rubric. On average, teachers used the rubric once, if at all, after the project finished, while the mathematical reasoning or representation tasks were part of the lessons at intervals between every fortnight and every month. Teachers differed in how often they used these; teachers in the CG applied these tasks more often. It must be noted that the PD was targeted for teachers interested in learning how to teach mathematical reasoning. Most of the time during the first workshop was dedicated to this aspect. The use of rubrics was introduced to the IG as an additional feature. Therefore, teachers might not have viewed the rubric as an important (or key) aspect of the PD. It was surprising that the IG did not use the rubric more than the CG, on average. Constraints for applying the rubric included a lack of time and a lack of teacher competence to adapt ordinary textbook tasks to make them suitable for mathematical reasoning.
Borko et al. (
That the teachers continued using mathematical reasoning tasks might also be due to the provision of a large number of tasks available for use in the classroom together with some methodological recommendations. A crucial point for successful PD is the incorporation of tools and new mathematical approaches into existing instructional practices (Borko et al.,
This point leads to the second question on whether the teachers' formative assessment practices remained the same as during the implementation phase. This outcome seemed true for the teachers' assessment competence but not for their assessment practices. According to the students, the teachers' assessment and diagnosis competence remained at the same level after the project finished. The amount of supportive feedback and peer or self-assessment, however, decreased significantly. The differences between teachers were particularly large for peer and self-assessment. The qualitative analysis showed that at least a few teachers positively changed their assessment practices in combination with their way of teaching mathematical word problems. This change was accomplished in more student-oriented ways. Tasks that foster mathematical reasoning abilities invite the use of multiple-solution strategies and multiple representations, and require students to explain or justify how they arrive at their answers (Stein et al., 1996). Teachers must be aware that it is not sufficient to present such tasks without creating an instructional environment with an emphasis on discourse. This practice is important for the teachers' understanding of students' thinking processes (Sfard,
Question three aimed at finding connections between the teachers' use of rubrics and their knowledge and beliefs. Because reasoning in mathematical lessons requires interaction with others, a socio-constructivist view of learning mathematics could be viewed as more favorable than a transmissive view (Voss et al., 2013). Thus, teachers' beliefs about mathematics teaching and learning can constrain the ways tasks are implemented (Swan, 2007), and as a consequence, unfavorable beliefs need to be altered. However, favorable beliefs do not guarantee adequate practices (Borko et al.,
Conclusions
When we look at the pre and post phases of our project, we can state that our PD was successful (Smit et al., 2017). There were positive effects from our control-group intervention with rubrics on the teachers' practices of assessment and feedback. With respect to the students, the project had positive impacts on their self-regulation competencies and their self-efficacy beliefs. Independent of placement in the intervention group, all students developed their mathematical reasoning competence. However, in Guskey's five-level model of PD evaluation (Guskey,
Finally, as a recommendation for further PD and research, we think that the inclusion of teacher collaboration could have been beneficial for the sustainability of the goals of the project. Teacher collaboration is a crucial feature of successful PD. Collaboration among teachers fosters professional development by having common goals for change, by sharing materials, and by finding time to support each other on an on-going, long-term basis (Borko et al.,
Statements
Ethics statement
The study was carried out in accordance to the protocol and with principles enunciated in the current version of the Declaration of Helsinki, the guidelines of Good Clinical Practice (GCP) issued by ICH, in case of medical device: the European Regulation on medical devices 2017/745 and the ISO Norm 14155 and ISO 14971, the Swiss Law and Swiss regulatory authority's requirements. This study was not specifically reviewed and approved by an ethics committee, as this was not needed according to the national guidelines. The investigators explained the nature of the study, its purpose, the procedures involved, and the expected duration it may entail to each participant. Each participant was informed that participation in the study was voluntary and that he/she may withdraw. Written informed consent was obtained from all participants.
Author contributions
RS and KH were head investigators and grant applicants, while the other three authors were project team members.
Funding
The presented project was funded by the Swiss National Science Foundation (project no. 149386).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/feduc.2018.00113/full#supplementary-material
References
1
AndradeH.DuY.WangX. (2008). Putting rubrics to the test: the effect of a model, criteria generation, and rubric-referenced self-assessment on elementary school students' writing. Educ. Meas.27, 3–13. 10.1111/j.1745-3992.2008.00118.x
2
Assessment Reform Group (ARG) (2002). Assessment for Learning: 10 Principles.University of Cambridge; Faculty of Education Available online at: https://www.aaia.org.uk/content/uploads/2010/06/Assessment-for-Learning-10-principles.pdf (Accessed November 5, 2012).
3
AvalosB. (2011). Teacher professional development in Teaching and Teacher Education over ten years. Teach. Teach. Educ.27, 10–20. 10.1016/j.tate.2010.08.007
4
Bangert-DrownsR. L.KulikC.-L. C.KulikJ. A.MorganM. (1991). The instructional effect of feedback in test-like events. Rev. Educ. Res.61, 213–238. 10.3102/00346543061002213
5
BlackP.WiliamD. (1998). Assessment and classroom learning. Assess. Educ.5, 7–74. 10.1080/0969595980050102
6
BlackP.WiliamD. (2009). Developing the theory of formative assessment. Educ. Assess. Eval. Account.21, 5–31. 10.1007/s11092-008-9068-5
7
BlantonM. L.KaputJ. J. (2005). Characterizing a classroom practice that promotes algebraic reasoning. J. Res. Math. Educ.36, 412–446. 10.2307/30034944
8
BoivardJ. A.KoziolN. A. (2012). Measurement models for ordered-categorical indicators, in Handbook of Structural Equation Modeling, ed HoyleR. H. (New York, NY: The Guildford Press), 495–511.
9
BorkoH. (2004). Professional development and teacher learning: mapping the terrain. Educ. Res.33, 3–15. 10.3102/0013189X033008003
10
BorkoH.DavinroyK. H.BliemC. L.CumboK. B. (2000). Exploring and supporting teacher change: two third-grade teachers' experiences in a mathematics and literacy staff development project. Elem. Sch. J.100, 273–306. 10.1086/499643
11
BradfordK. L.NewlandA. C.RuleA. C.MontgomeryS. E. (2015). Rubrics as a tool in writing instruction: effects on the opinion essays of first and second graders. Early Childhood Educ. J.44, 1–10. 10.1007/s10643-015-0727-0
12
BraunV.ClarkeV. (2006). Using thematic analysis in psychology. Qual. Res. Psychol.3, 77–101. 10.1191/1478088706qp063oa
13
BrodieK. (2010). Teaching Mathematical Reasoning in Secondary School Classrooms. New York, NY: Springer. 10.1007/978-0-387-09742-8
14
BrookhartS. M. (2018). Appropriate criteria: key to effective rubrics. Front. Educ. 3:22. 10.3389/feduc.2018.00022
15
BrownG. T. L.HarrisL. R.HarnettJ. (2012). Teacher beliefs about feedback within an assessment for learning environment: endorsement of improved learning over student well-being. Teach. Teach. Educ.28, 968–978. 10.1016/j.tate.2012.05.003
16
CaracelliV. J.GreeneJ. C. (1993). Data analysis strategies for mixed-method evaluation designs. Educ. Eval. Policy Anal.15, 195–207. 10.3102/01623737015002195
17
de LangeJ. (1995). Assessment: no change without problems, in Reform in School Mathematics and Authentic Assessment, ed RombergT. A. (Albany, NY: State University of New York Press), 87–172.
18
de LangeJ. (1999). Framework for Classroom Assessment in Mathematics. Utrecht: Freudenthal Institute and University of Madison, WI; National Centre for Improving Student Learning and Achievement in Mathematics and Science.
19
de LeeuwJ. (2016). Rubrics and exemplars in writing assessment, in Leadership of Assessment, Inclusion, and Learning, eds ScottS.ScottE. D.WebberF. C. (Cham: Springer International Publishing), 89–110.
20
DesimoneL. M.PorterA. C.GaretM. S.YoonK. S.BirmanB. F. (2002). Effects of professional development on teachers' instruction: results from a three-year longitudinal study. Educ. Eval. Policy Anal.24, 81–112. 10.3102/0162373702400208
21
DesimoneL. M.SmithT. M.FrisvoldD. E. (2010). Survey measures of classroom instruction. Educ. Policy24, 267–329. 10.1177/0895904808330173
22
DiedrichM.ThussbasC.KliemeE. (2002). Professionelles lehrerwissen und selbstberichtete unterrichtspraxis im fach mathematik, in Bildungsqualität von Schule: Schulische und außerschulische Bedingungen Mathematischer, Naturwissenschaftlicher und überfachlicher Kompetenzen, Zeitschrift für Pädagogik, Beiheft, eds PrenzelM.DollJ. (Weinheim: Beltz), 107–123.
23
EarlL. M. (2012). Assessment as Learning: Using Classroom Assessment to Maximize Student Learning. Thousand Oaks, CA: Corwin Press.
24
EndersC. K. (2010). Applied Missing Data Analysis. New York, NY: Guildford.
25
FennemaE.FrankeM. L.CarpenterT. P.CareyD. A. (1993). Using children's mathematical knowledge in instruction. Am. Educ. Res. J.30, 555–583. 10.3102/00028312030003555
26
FrankeM. L.CarpenterT. P.LeviL.FennemaE. (2001). Capturing teachers' generative change: a follow-up study of professional development in mathematics. Am. Educ. Res. J.38, 653–689. 10.3102/00028312038003653
27
GaretM. S.PorterA. C.DesimoneL.BirmanB. F.YoonK. S. (2001). What makes professional development effective? Results from a national sample of teachers. Am. Educ. Res. J.38, 915–945. 10.3102/00028312038004915
28
GinsburgH. P. (2009). The challenge of formative assessment in mathematics education: children's minds, teachers' minds. Hum. Dev.52, 109–128. 10.1159/000202729
29
GuskeyT. R. (2002). Does it make a difference? Evaluating professional development. Educ. Leadersh.59:45.
30
HargreavesE.McCallumB.GippsC. (2000). Teacher feedback strategies in primary classrooms - new evidence, in Feedback for Learning, ed SusanA. (London: Routledge), 21–31.
31
HarlenW. (2006). The role of assessment in developing motivation for learning, in Assessment and Learning, ed GardnerJ. (London: Sage), 61–80.
32
HattieJ. (2008). Visible Learning: A Synthesis of Over 800 Meta-Analyses Relating to Achievement.London: Routledge. 10.4324/9780203887332
33
HattieJ.TimperleyH. (2007). The power of feedback. Rev. Educ. Res.77, 81–112. 10.3102/003465430298487
34
HillH. C.BallD. L.SchillingS. G. (2008). Unpacking pedagogical content knowledge: Conceptualizing and measuring teachers' topic-specific knowledge of students. J. Res. Math. Educ.39, 372–400.
35
HuL.BentlerP. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct. Equat. Model.6, 1–55. 10.1080/10705519909540118
36
LambertB. (2018). A Student's Guide to Bayesian Statistics. London: Sage.
37
LiebermanA.MillerL. (2001). Teachers Caught in the Action: Professional Development That Matters, Vol. 31. New York, NY: Teachers College Press.
38
MontgomeryK. (2000). Classroom rubrics: systematizing what teachers do naturally. Clear. House73, 324–328. 10.1080/00098650009599436
39
MossC. M.BrookhartS. M. (2010). Advancing Formative Assessment in Every Classroom: A Guide for Instructional Leaders. Alexandria, VA: ASCD.
40
Mui SoW. W.Hoi LeeT. T. (2011). Influence of teachers' perceptions of teaching and learning on the implementation of Assessment for Learning in inquiry study. Assess. Educ.18, 417–432. 10.1080/0969594X.2011.577409
41
MuthénB. O.AsparouhovT. (2012). Bayesian structural equation modeling: a more flexible representation of substantive theory. Psychol. Methods17, 313–335. 10.1037/a0026802
42
OnwuegbuzieA. J.CollinsK. M. (2007). A typology of mixed methods sampling designs in social science research. Qual. Rep.12, 281–316. Available online at: https://nsuworks.nova.edu/tqr/vol12/iss2/9
43
OpferV. D.PedderD. (2011). Conceptualizing teacher professional learning. Rev. Educ. Res.81, 376–407. 10.3102/0034654311413609
44
PanaderoE.JonssonA. (2013). The use of scoring rubrics for formative assessment purposes revisited: a review. Educ. Res. Rev.9, 129–144. 10.1016/j.edurev.2013.01.002
45
ParisS. G.ParisA. H. (2001). Classroom applications of research on self-regulated learning. Educ. Psychol.36, 89–101. 10.1207/S15326985EP3602_4
46
PattonM. Q. (2015). Qualitative Research and Evaluation Methods. Thousand Oaks, CA: Sage.
47
PowellD. R.DiamondK. E.BurchinalM. R.KoehlerM. J. (2010). Effects of an early literacy professional development intervention on head start teachers and children. J. Educ. Psychol.102:299. 10.1037/a0017763
48
RakoczyK.BuffA.LipowskyF.HugenerI.PauliC.ReusserK. (2005). Dokumentation der Erhebungs- und Auswertungsinstrumente zur schweizerisch-deutschen Videostudie “Unterrichtsqualität, Lernverhalten und Mathematisches Verständnis”. Frankfurt am Main: Gesellschaft zur Förderung Pädagogischer Forschung.
49
RossJ. A.Hogaboam-GrayA.RolheiserC. (2002). Student self-evaluation in grade 5-6 mathematics effects on problem-solving achievement. Educ. Assess.8, 43–58. 10.1207/S15326977EA0801_03
50
SfardA. (2001). There is more to discourse than meets the ears: looking at thinking as communicating to learn more about mathematical learning. Educ. Stud. Math.46, 13–57. 10.1023/A:1014097416157
51
ShulmanL. S. (1987). Knowledge and teaching: foundations of the new reform. Harv. Educ. Rev.57, 1–23. 10.17763/haer.57.1.j463w79r56455411
52
ShuteV. J. (2008). Focus on formative feedback. Rev. Educ. Res.78, 153–189. 10.3102/0034654307313795
53
SmitR. (2009). Die formative Beurteilung und ihr Nutzen für die Entwicklung von Lernkompetenz. Baltmannsweiler: Schneider Verlag Hohengehren.
54
SmitR.BachmannP.BlumV.BirriT.HessK. (2017). Effects of a rubric for mathematical reasoning on teaching and learning in primary school. Instruct. Sci.45, 603–622. 10.1007/s11251-017-9416-2
55
SmitR.BirriT. (2014). Assuring the quality of standards-oriented classroom assessment with rubrics for complex competencies. Stud. Educ. Eval.43, 5–13. 10.1016/j.stueduc.2014.02.002
56
SteinM. K.GroverB. W.HenningsenM. (1996). Building student capacity for mathematical thinking and reasoning: an analysis of mathematical tasks used in reform classrooms. Am. Educ. Res. J.33, 455–488. 10.3102/00028312033002455
57
SullivanP.ClarkeD.ClarkeB. (2009). Converting mathematics tasks to learning opportunities: an important aspect of knowledge for mathematics teaching. Math. Educ. Res. J.21, 85–105. 10.1007/BF03217539
58
SwanM. (2007). The impact of task-based professional development on teachers' practices and beliefs: a design research study. J. Math. Teach. Educ.10, 217–237. 10.1007/s10857-007-9038-8
59
TangX.CoffeyJ.LevinD. M. (2015). Reconsidering the use of scoring rubrics in biology instruction. Am. Biol. Teach.77, 669–675. 10.1525/abt.2015.77.9.4
60
TurnerS. L. (2014). Creating an assessment-centered classroom: Five essential assessment strategies to support middle grades student learning and achievement. Middle School J.45, 3–16. 10.1080/00940771.2014.11461895
61
UnderwoodJ. S.TregidgoA. P. (2006). Improving student writing through effective feedback: best practices and recommendations. J. Teach. Writ.22, 73–98.
62
VossT.KleickmannT.KunterM.HachfeldA. (2013). Mathematics teachers' beliefs, in Cognitive Activation in the Mathematics Classroom and Professional Competence of Teachers, eds KunterM.BaumertJ.BlumW.KlusmannU.KraussS.NeubrandM. (New York, NY: Springer), 249–271.
63
WhitehurstG. J.EpsteinJ. N.AngellA. L.PayneA. C.CroneD. A.FischelJ. E. (1994). Outcomes of an emergent literacy intervention in Head Start. J. Educ. Psychol.86, 542–555. 10.1037/0022-0663.86.4.542
64
WiliamD.ThompsonM. (2007). Integrating assessment with learning: what will it take to make it work?, in The Future of Assessment: Shaping Teaching and Learning, ed DwyerC. A. (Mahwah, NJ: Lawrence Erlbaum Associates), 53–82.
65
WollenschlägerM.HattieJ.MachtsN.MöllerJ.HarmsU. (2016). What makes rubrics effective in teacher-feedback? Transparency of learning goals is not enough. Contemp. Educ. Psychol.44–45, 1–11. 10.1016/j.cedpsych.2015.11.003
66
YeagerD. S.WaltonG. M. (2011). Social-psychological interventions in education: they're not magic. Rev. Educ. Res.81, 267–301. 10.3102/0034654311405999
67
YoonK. S.DuncanT.LeeS. W.-Y.ScarlossB.ShapleyK. L. (2007). Reviewing the Evidence on How Teacher Professional Development Affects Student Achievement. Issues and Answers. REL 2007-No. 033. Regional Educational Laboratory Southwest (NJ1).
Summary
Keywords
professional development, sustainability, rubrics, primary school, mathematical reasoning
Citation
Smit R, Hess K, Bachmann P, Blum V and Birri T (2019) What Happens After the Intervention? Results From Teacher Professional Development in Employing Mathematical Reasoning Tasks and a Supporting Rubric. Front. Educ. 3:113. doi: 10.3389/feduc.2018.00113
Received
09 July 2018
Accepted
05 December 2018
Published
07 January 2019
Volume
3 - 2018
Edited by
Mary Frances Hill, The University of Auckland, New Zealand
Reviewed by
Raman Grover, British Columbia Ministry of Education, Canada; Haci Bayram Yilmaz, Ondokuz Mayis University, Turkey; Gavin T. L. Brown, The University of Auckland, New Zealand
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© 2019 Smit, Hess, Bachmann, Blum and Birri.
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*Correspondence: Robbert Smit robbert.smit@phsg.ch
This article was submitted to Assessment, Testing and Applied Measurement, a section of the journal Frontiers in Education
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