{"id":11715,"date":"2022-04-04T18:21:45","date_gmt":"2022-04-04T18:21:45","guid":{"rendered":"https:\/\/citejournal.org\/\/\/"},"modified":"2022-09-02T20:09:33","modified_gmt":"2022-09-02T20:09:33","slug":"re-mediating-and-transmediating-middle-school-students-writing-through-teacher-professional-development","status":"publish","type":"post","link":"https:\/\/citejournal.org\/volume-22\/issue-2-22\/english-language-arts\/re-mediating-and-transmediating-middle-school-students-writing-through-teacher-professional-development","title":{"rendered":"Re-Mediating and Transmediating Middle-School Students\u2019 Writing Through Teacher Professional Development"},"content":{"rendered":"\n

The COVID pandemic has evidenced at least two realities in education: the ability for digitally delivered instruction and the persistence of an educational culture zealous about high-stakes assessment. Following more than a year of educational innovation as teachers met their students in varied remote, hybrid, and face-to-face environments, there was a swift return to testing to determine alleged learning loss (Engzell et al., 2021; Kuhfield et al., 2020; Strauss, 2021).<\/p>\n\n\n\n

Although the digital means and modes enabling remote instruction have the potential for expanded opportunities for producing and consuming information, the methods and outcomes of high-stakes assessment could constrain this potential. However, if it is demonstrated that instruction incorporating these expanded characteristics also increases test scores, educators at all levels may more fully embrace the potentialities of digital learning. This study begins to provide such evidence by considering the impact of teacher professional development in new literacies practices on students\u2019 achievement on high-stakes writing assessments.<\/p>\n\n\n\n

Expansive Characteristics of New Literacies<\/h2>\n\n\n\n

In the past, literacy was associated with reading and writing of print-based texts.  However, recognition of the distinct discourses and multiple means and modes of linguistic representation, along with ever-expanding opportunities for producing and consuming linguistic expression, has led to use of the plural, literacies, <\/em>as a common referent for communicative activities (Kalantzis et al., 2016). Because these means, modes, and opportunities are deictic and ever-changing, the term new literacies <\/em>has been used to represent both the mechanisms and the practices used for linguistic expression, and key characteristics of these new literacies have been identified (Leu et al, 2019), including features of participation and transmediation.<\/p>\n\n\n\n

Participation<\/h3>\n\n\n\n

New literacies represent expanded opportunities for social and collaborative composition and communication (Kalantzis et al., 2016). For example, phone and internet applications provide open access to broad audiences. Publishing through these resources is more accessible and less filtered, and distribution may be rapid and extensive, expressions of a participatory culture (Leu et al., 2019).<\/p>\n\n\n\n

Today\u2019s youth frequently use digital, multimodal tools to create, communicate, and collaborate in out-of-school environments. For example, Alvermann et al. (2012) documented five teens\u2019 use of web-based resources and found they were developing relevant literacy skills, were \u201chighly motivated and adept at using multimodal tools,\u201d (p. 191) and demonstrated critical thinking and life-skills through participation.<\/p>\n\n\n\n

Transmediation<\/h3>\n\n\n\n

New literacies expand opportunities for using multiple modes of representation (Leu et al., 2019; Thibaut & Curwood, 2018). Meaning may be represented through text, image, video, and audio.  The term transmediationhas been used to describe the act of recasting meaning from one sign system to another (Siegel, 2006; Suhor, 1984). Contrasts and commonalities encountered when moving across modes of representation have the potential to help learners connect ideas and enhance knowledge of content (Siegel, 2006; Zoss, 2011).<\/p>\n\n\n\n

Researchers have considered ways multiple literacies mediate meaning and have applied the concept of transmediation to writing instruction (Batchelor, 2018; Mills, 2011; Smith et al., 2016).   For example, Mills, in her study of eight-year-olds, demonstrated that producing artifacts via different sign systems supported generative and reflective thinking because new connections were created. <\/p>\n\n\n\n

Curwood and Cowell (2011), in their iPoetry project, where high-school students created videos of their original poems, found that students deepened their understanding of the genre.  Similarly, Batchelor (2018), found that middle-school students\u2019 understanding of the purpose and process of revision improved as they transmediated their writing into another sign system.  Transmediation allowed students to see their work from a new perspective.  These studies suggest that transmediation, as a tool for composing, deepens understanding of the content, purposes, and processes of writing.<\/p>\n\n\n\n

In contrast, however, Howell et al. (2017) conducted a formative experiment to investigate how using multimodal tools could enhance students\u2019 argumentative writing.  Although high-school students in the two classes they studied were engaged in constructing multimodal arguments, they found no evidence that this learning increased their conventional argument-writing skills. The teacher\u2019s concern regarding preparing students for high-stakes assessments seemed to inhibit multimodal instruction. The authors suggested further research to consider design features addressing such concerns.<\/p>\n\n\n\n

Constraining Characteristics of Standardized Testing and Remediation<\/h2>\n\n\n\n

Despite the ubiquity of new literacies in students\u2019 lives, research suggests that new literacies are not yet well-represented in classrooms (Hundley & Holbrook, 2013; Lenters, 2016; Seglem & Garcia, 2018). In an era of testing and accountability, public educators may not incorporate new practices into writing instruction unless they see evidence that students\u2019 achievement on high-stakes assessments will improve. <\/p>\n\n\n\n

School boundaries that limit literacies may exist because many out-of-school practices that embed literacy are invisible to teachers who frame literacy narrowly as reading and writing achievement (Roswell & Kendrick, 2013). To this point, Stewart (2014), in her study of youths\u2019 literacy experiences, found that in-school literacy represented a limited view that prevented students\u2019 success, despite participants\u2019 adroitness with new technologies. Many factors likely contribute to school boundaries that limit literacies. One of these factors is high-stakes testing.<\/p>\n\n\n\n

Even when digitally delivered, standardized writing assessments typically test writing in conventional ways, using constructed-response items and scoring systems devoid of aspects of presentation and communication often embedded in out-of-school literacies (Beach et al., 2016; Towndrow et al., 2013).  Because school curricula are sometimes constrained to focus on tested skills (Dutro et al., 2013), aspects of composition that are not tested may not be taught (Hutchison & Reinking, 2011; Pella, 2011).  <\/a><\/p>\n\n\n\n

Consequences of high-stakes testing are especially impactful for students with low test scores. Students whose literate practices differ from academic voice may be viewed as needing intervention or remediation \u2013 \u201cremedies\u201d to fix their problem (Dressman et al., 2005). Approaches to remediation are often imbued with deficit views that locate failure within the individual. Instruction may be further constrained by remediation practices focusing on isolated skills and rote learning (Haberman, 2010). <\/p>\n\n\n\n

New Literacies as Mediating Tools<\/h2>\n\n\n\n

In contrast, literacies can be viewed as mediating tools.  Vygotsky (1978) noted that by providing mediating tools the nature of a task can be changed so that interactions support the unfolding of new abilities. From this perspective, re-mediation<\/em> involves a shift in the way mediating devices are used.  New literacies, then, might serve as remediating tools.  In her study of repositioning home literacies in classrooms, Souto-Manning (2010) advocated for goals in intervention that are reconceptualized to encompass the expansive, additive approach of re-mediation. <\/p>\n\n\n\n

When out-of-school literacy practices are incorporated into writing instruction, the collaborative practices and varied modalities that are part of students\u2019 repertoires from social experiences support their learning. Learning can be re-mediated not only by the teacher but also by the tools available through technology and social interaction (Cope et al., 2018; Gutierrez et al., 2009; Lankshear & Knobel, 2011).<\/p>\n\n\n\n

Shifting Pedagogies for Writing Instruction<\/h2>\n\n\n\n

Despite increased use of technology in instruction, the potential for new literacies as mediating tools to improve students\u2019 writing and enrich their learning experience may not be realized. In addition to pressures of high-stakes tests that do not reflect such characteristics, other inhibiting factors include teachers\u2019 incomplete knowledge about new literacies\u2019 tools and methods and their own paradigms for writing instruction. Pedagogical shifts that incorporate multimodal and digital literacies challenge the world in which literacy teachers have lived and worked. Effective professional development (PD) experiences may increase teachers\u2019 knowledge and enlarge their teaching paradigms about writing instruction.<\/p>\n\n\n\n

Although research has identified general characteristics of effective PD, consensus on these characteristics has been called into question because of disappointing results in rigorous studies (Garet et al., 2016; Gersten et al, 2014; Hill et al., 2013).  Following Garet et al.s\u2019 recommendation, this study sought to identify effective PD features through their effects on student achievement.<\/p>\n\n\n\n

To guide this study, I drew on features identified in PD research that were consistent with my conceptual framework and seemed most cogent for this study, including a sociocultural approach to professional learning (Street & Stang, 2009; Vygotsky, 1978), provision of a theoretical foundation (Sedova et al., 2016), and learning through and with the new tools and approaches ((Darling-Hammond et al., 2017; Miller, 2015). A longitudinal commitment to PD is also a key feature (Kennedy, 2010; Opfer & Pedder, 2011). These characteristics of PD have a research base supporting their effectiveness in changing instruction, and some studies suggest benefits of these approaches for instructional incorporation of new literacies.<\/p>\n\n\n\n

Curwood (2014), in her study of how teachers\u2019 cultural models shape their approach to technology integration in secondary literacy instruction, found that some teachers were challenged to conceptualize how technology would impact instructional design and assessment.  However, she found that dialogue in professional learning communities provided opportunities for teachers to express, challenge, and possibly change their cultural models.  Curwood\u2019s analysis suggests teachers\u2019 skills, values, and cultural models influence implementation of reforms such as integration of new literacies. <\/p>\n\n\n\n

Bruce and Chiu (2015), in their study of 240 preservice and in-service teachers\u2019 reflections on learning to compose with digital video (DV), found that teachers used what they knew about print composing to learn about DV composing. This finding suggested transmediation of teachers\u2019 knowledge across modes when provided the opportunity for hands-on practice with digital tools.<\/p>\n\n\n\n

Similarly, Shaw and Valerie (2018), whose project explored how preservice and in-service teachers engaged with multimodal texts, found that teachers changed as text-makers, enlarging their own composing practices.  However, their study did not consider whether these professional learning experiences expanded teachers\u2019 instructional repertoires.<\/p>\n\n\n\n

Cook and Sams (2018) explored how the composition of multimodal texts of 23 English preservice teachers (PSTs) influenced their stances on literacy instruction. In their course-based learning, PSTs experienced opportunities to compose, talk, and reflect on writing pedagogy within a community of practice. They began to see parallels between multimodal composition and tradition writing.  However, they struggled with making the mental transition of these practices to their future classrooms.<\/p>\n\n\n\n

Although features of PD have a research base supporting their effectiveness in changing instruction, their impact for incorporation of new literacies has not been fully explored.  Further, because teacher PD efforts generally share the goal of positively shifting teachers\u2019 behavior, knowledge, and attitudes, with the ultimate goal of improving student achievement (Carter Andrews & Richmond, 2019), teachers may feel the pressing question of whether there is time for new literacies in schools that are shaped by a culture of accountability (Siegel, 2012).<\/p>\n\n\n\n

The current study explored ways PD might encourage teachers to push beyond narrow descriptions of writing defined by high-stakes testing to provide instruction that incorporates affordances of new literacies. I postulated that PD emphasizing this perspective could not only change teachers\u2019 practice, but also improve students\u2019 achievement as measured by scores on standardized tests, even when tests reflect a constrained view of writing. Specifically, this study investigated the following questions: What effect does PD in new literacies have on students\u2019 writing achievement? What PD characteristics support instructional shifts to include new literacies?<\/p>\n\n\n\n

Methods<\/h2>\n\n\n\n

This study investigated teachers\u2019 learning and effects on students\u2019 writing achievement. These goals required use of both quantitative and qualitative measures.  Multilevel research and sampling designs (Teddlie & Tashakkori, 2009) were used, since research questions considered participants from different levels within the population of interest (seventh-grade students nested with the classrooms of language arts teachers).  Breadth and depth of the study are enhanced by using multiple types of data to tell the story (Creswell & Plano-Clark, 2011).  The study evaluated student growth data on state standardized writing assessments compared with a control group and considered PD characteristics that supported instructional shifts to include new literacies.<\/p>\n\n\n\n

Context and Participants<\/h3>\n\n\n\n

This research was conducted in a large suburban school district in the Western United States (see Table 1). The district purchased 300 laptops for their 10 middle schools.  PD was frontloaded in the spring semester and summer and continued throughout the following school year, with student data evaluating changes within the final year of PD, which was considered the intervention year.<\/p>\n\n\n\n

Table 1<\/strong>
Demographic Information for the Participant and Matched Control Participants<\/em><\/p>\n\n\n\n\n\n\n\t\n\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t
Matched Classroom Groupings<\/strong><\/th>Prior Year State Writing<\/strong><\/th>% Male<\/strong><\/th>% Free and Reduced Lunch<\/strong><\/th>% Gifted & Talented in Language Arts<\/strong><\/th>% of non-English Proficiency<\/strong><\/th>\n<\/tr>\n<\/thead>\n
<\/td><\/td>Mean Scaled Score (SD<\/em>)<\/strong><\/td>Median Scale Score<\/strong><\/td>Mean Growth Percentile<\/strong>
\n (SD<\/em>)<\/strong><\/td>
<\/td><\/td><\/td><\/td>\n<\/tr>\n
1 <\/strong><\/td>Participant<\/td>581.04 (45.96)<\/td>580.00<\/td>56.36 (27.36)<\/td>50.6%<\/td>9.1%<\/td>11.1%<\/td>6.9%<\/td>\n<\/tr>\n
Control<\/td>588.40 (56.31)<\/td>584.00<\/td>56.15 (29.64)<\/td>45.9%<\/td>4.9%<\/td>14.0%<\/td>7.8%<\/td><\/td>\n<\/tr>\n
2 <\/strong><\/td>Participant<\/td>562.42 (57.89)<\/td>562.00<\/td>56.85 (28.61)<\/td>39.7%<\/td>19.3%<\/td>2.9%<\/td>4.4%<\/td>\n<\/tr>\n
Control<\/td>558.96 (58.59)<\/td>565.00<\/td>55.00 (28.09)<\/td>46.7%<\/td>21.7%<\/td>15.1%<\/td>9.6%<\/td><\/td>\n<\/tr>\n
3 <\/strong><\/td>Participant<\/td>568.85 (53.18)<\/td>561.00<\/td>51.62 (28.41)<\/td>42.7%<\/td>7.8%<\/td>18.1%<\/td>3.4%<\/td>\n<\/tr>\n
Control <\/td>568.59 (65.11)<\/td>554.00<\/td>53.29 (30.24)<\/td>36.2%<\/td>8.6%<\/td>7.3%<\/td>0%<\/td><\/td>\n<\/tr>\n
4<\/strong><\/td>Participant<\/td>553.24 (63.82)<\/td>552.00<\/td>44.70 (30.29)<\/td>37.6%<\/td>25.5%<\/td>13.0%<\/td>11.6%<\/td>\n<\/tr>\n
Control<\/td>543.30 (53.88)<\/td>546.50<\/td>48.81 (29.47)<\/td>41.8%<\/td>17.4%<\/td>8.9%<\/td>6.7%<\/td><\/td>\n<\/tr>\n
5<\/strong><\/td>Participant <\/td>551.44 (53.45)<\/td>552.00<\/td>49.19 (30.78)<\/td>61.5%<\/td>12.8%<\/td>4.1%<\/td>5.4%<\/td>\n<\/tr>\n
Control<\/td>543.25 (46.09)<\/td>545.00<\/td>43.16 (27.26)<\/td>43.1%<\/td>13.8%<\/td>4.0%<\/td>4.0%<\/td><\/td>\n<\/tr>\n
6<\/strong><\/td>Participant<\/td>540.52 (57.26)<\/td>546.00<\/td>44.41 (40.00)<\/td>52.6%<\/td>17.5%<\/td>4.5%<\/td>5.6%<\/td>\n<\/tr>\n
Control <\/td>546.78 (41.87)<\/td>541.00<\/td>54.18 (29.25)<\/td>37.8%<\/td>28.9%<\/td>0%<\/td>14.6%<\/td><\/td>\n<\/tr>\n
7<\/strong><\/td>Participant<\/td>529.19 (45.661)<\/td>533.00<\/td>50.00 (31.20)<\/td>40.6%<\/td>33.3%<\/td>0%<\/td>8.5%<\/td>\n<\/tr>\n
Control <\/td>534.27 (60.68)<\/td>541.00<\/td>63.20 (30.80)<\/td>50.0%<\/td>16.7%<\/td>0%<\/td>0%<\/td><\/td>\n<\/tr>\n
8<\/strong><\/td>Participant<\/td>536.15 (45.43)<\/td>533.00<\/td>44.72 (27.33)<\/td>48.5%<\/td>46.5%<\/td>8.0%<\/td>23.9%<\/td>\n<\/tr>\n
Control <\/td>528.80 (43.80)<\/td>532.00<\/td>47.59 (28.14)<\/td>51.4%<\/td>35.2%<\/td>4.6%<\/td>7.7%<\/td><\/td>\n<\/tr>\n
9<\/strong><\/td>Participant <\/td>535.45 (45.66)<\/td>530.00<\/td>37.42 (25.01)<\/td>46.9%<\/td>24.7%<\/td>3.9%<\/td>2.9%<\/td>\n<\/tr>\n
Control<\/td>525.11 (37.89)<\/td>522.00<\/td>44.36 (28.79)<\/td>50.5%<\/td>27.0%<\/td>2.0%<\/td>6.8%<\/td><\/td>\n<\/tr>\n
10<\/strong><\/td>Participant<\/td>531.28 (49.94)<\/td>530.00<\/td>45.47 (27.66)<\/td>28.6%<\/td>33.4%<\/td>15.8%<\/td>10.5%<\/td>\n<\/tr>\n
Control<\/td>517.67 (52.69)<\/td>513.00<\/td>42.91 (27.37)<\/td>43.9%<\/td>66.7%<\/td>10.5%<\/td>66.6%<\/td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n\n

Teacher Participants<\/em> <\/h3>\n\n\n\n

Participants in this study were 10 middle school language arts teachers with a broad range in teaching experience.  One seventh-grade English teacher participated from each of the district\u2019s 10 middle schools (see Table 2). Of the 10 teachers, seven participated in the full sequence of PD and had 46 hours of training prior to students\u2019 end-of-year writing assessments. These teachers made up the first group, identified as \u201cfully trained.\u201d<\/p>\n\n\n\n