In the 2010-2011 school year, there were almost a quarter of a million English language learners (ELLs) enrolled in Florida public schools (Florida Department of Education, 2011), most of whom were placed in mainstream schools with segregated language remediation. Dual language education (DLE) programs offer developmental opportunities in two languages that mainstream schools cannot. The purpose of this research was to identify parental attitudes toward immersion programs and define the reasons that parents enroll their children in DLEs. Sixty participants completed a questionnaire sent home from their student's DLE. The study data included biographical information, statements depicting the reasons for enrollment rated by a Likert scale, and an area for comments. Overall, the study found that survey participants rated their child's comfort communicating with Spanish speakers (4.75 out of 5) to be the most important reason for enrollment. A difference was found in responses depending on the ethnic/language group of surveyed participants. Primarily, Spanish speakers responded more positively to the statements regarding bilingual education than any other ethnic/language group. All parents conclusively believe the dual immersion program has been a success for their children.

This qualitative study investigates the reasons behind three upper-secondary English teachers’ choices regarding suitable fiction for their students, how they engage students in reading, and what they think motivates students to read. It also investigates eight students’ motivation toward reading. This study also aims to provide some insight into how the criteria behind the reading lists can be adapted to stimulate the students’ interest in reading. The data were gathered through semi-structured interviews with the teachers and students, respectively. The results of this study suggest that one possible way to increase motivation for reading is the use of different genres and methods.

This study aims to explore and investigate students’ attitudes towards reading aloud in English in an upper secondary school in Sweden and whether the students’ previous experiences in reading aloud in L2 (English as a second language), as well as their language backgrounds have an impact on their attitudes towards reading aloud in L2. Additionally, the study will investigate which factors that might affect students’ attitudes towards reading aloud in L2. The data collection method which has been utilized in this study is a questionnaire. The questionnaire included questions about students’ attitudes towards reading aloud in L1 and L2, students’ previous experiences in reading aloud in L2, along with the factors that they bear in mind when they read aloud in L2. A mixed-methods approach was used to analyse data, involving both quantitative and qualitative approaches. The participants in this study comprised 90 students in an upper secondary school in Sweden, aged between 16-20. The results of the study show that the students contributing to this study show a reluctance to read aloud in L2. Moreover, prior experiences in reading aloud in L2 from an early age and students’ language backgrounds might have a correlation with students’ attitudes towards reading aloud in L2. The study also reveals that confidence, concerns about mispronunciation and the impact of reading aloud on comprehension are factors that may influence the students’ attitudes towards reading aloud in English.

Data-driven learning is a sub-discipline of corpus linguistics that makes use of the analyses and tools of corpus linguistics in foreign and second language classroom (Johns, 1991; Johns & King, 1991). With this approach, learners become researchers rather than passive recipients of language rules (Johns, 1991). This study was an investigation of the impact of this approach as a form of written corrective feedback for in-service teachers of English participating in an online writing course at a teacher training institute in Japan. Data-driven learning is commonly utilized in conventional, face-to-face classrooms, or computer lab settings in which there is close direction from the instructor on how to interpret the output of a corpus query. The purpose of this study was to investigate how data-driven learning can be implemented in a blended online environment by providing training to develop the participants’ corpus competence (Charles, 2011; Flowerdew, 2010), which is defined as the ability to interpret data obtained from querying a corpus. This competence has been associated with becoming familiar with corpus methods, which include interpreting concordances, and in turn can aid in accurately repairing writing errors. This training, while initially presented in a face-to-face session at the beginning of the course, was sustained with support from resources on the course’s Moodle website and my comments in Microsoft Word documents. In addition, I applied a fine-grained approach to the analysis of the to examine the quality of participants’ interpretation of concordances. The mixed method triangulation convergence design (Creswell & Plano Clark, 2007, 2011) used in this study was based on data from four sources to examine the effectiveness of data-driven learning in an online environment as well as to observe how the participants interpreted concordances. One data set involved an analysis of the participants’ responses in drafts of their own writing to concordance-based feedback. The participants were given a prefabricated concordance, which was a concordance I generated. That concordance was attached to an error in the participants’ document and the participants used the information provided by the concordance to repair their writing error. The resulting data set, which contains the concordance, along with before and after comparisons of the writers’ repairs, shows how the participants’ interpretations of concordances aided the repairs. With the evidence of several trials over the course of four writing assignments, it was possible to see how the participants used the supplied concordance to repair their writing errors and in turn revealed their degree of corpus competence. A second data set obtained from think-aloud protocols from select participants was utilized to reveal how they interpreted the concordance during an error-repair task. This data revealed what kind of thought processes or noticing that occurred in this task. A third piece of evidence was derived from data obtained from the Moodle website via log files and other resources such as online documents and training quizzes. The purpose was to document which resources the participants accessed relating to data-driven learning training to investigate if those resources aided in their development of corpus competence. The fourth piece of evidence was a quiz developed online to compare the participants with a standard set of items. The quiz was used to investigate which participants successfully or unsuccessfully interpreted the concordances. This instrument, which was analyzed with the Rasch model, allowed for further comparison between the participants’ skill of interpreting concordances. These four data sources were triangulated and in the final analysis cross-referenced to examine how data-driven learning can be successfully applied in a blended online learning environment and how the training of corpus competence aided the learners in interpreting the concordances. / Teaching & Learning

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