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2021 ◽  
pp. 1-18
Author(s):  
Glenn Jackson

Critical literacy studies require both textual reading and a knowledge of power dynamics in context. To achieve in critical literacy, learners need to work with different kinds of knowledge and integrate them. In this paper, I analyse how learners connect representations of social injustice from a popular literary text to issues of social justice in their broader cultural context. I investigate how different forms of knowledge came together in their response to a writing task. The empirical data comes from a critical literary course taught to Grade 8 learners in an English class in the southeastern United States. I offer an analysis of an exemplary essay submitted by a learner. In the analysis, I use concepts from the Legitimation Code Theory (LCT) dimension of Autonomy to show how the essay brought together information from the literary texts and from beyond to support interpretations of the characters' stances on the rights of elves. The analysis highlights how integration of knowledge drawn from imaginary and real contexts meets both the implicit and explicit critical literacy goals of the task. The findings offer a means for understanding how autonomy pathways can support teachers and learners in recognising and realising connections between texts and broader cultural discourses in ways that align with disciplinary literacy practices.


2021 ◽  
Vol 18 (1) ◽  
pp. 51-74
Author(s):  
Ginger Kosobucki ◽  
Kari Moore

In 2017, Kari Moore of Exodus Refugee Immigration and Ginger Kosobucki of the Immigrant Welcome Center met and discussed the unique needs Kari had noticed in her beginning literacy learners at Exodus. In 2018, Ginger led the Immigrant Welcome Center’s Adult ELL Research Project, which exposed the need for more classes geared for literacy-level learners, as well as more teacher training. In 2020, Kari and Ginger collaborated to lead professional development opportunities for Indianapolis teachers, including ATLAS Study Circles and a 2-day TESOL training with an expert from Literacy Minnesota. Since that time, they have formed a cohort -- the Pathway to Literacy development team -- consisting of teachers from programs around the city. The team has developed a 10-week pilot program, an assessment tool, and a website all designed to more effectively serve the needs of adult immigrants and refugees developing literacy skills for the first time.  The Adult ELL Pathway to Literacy Initiative, a collaborative effort among educators in Indianapolis, is an attempt to provide access to vulnerable learners who have had limited access to educational opportunities. 


2021 ◽  
Vol 24 (2) ◽  
pp. 229-254
Author(s):  
Marilyn Abbott ◽  
Kent Lee ◽  
Sabine Ricioppo

A high-stakes Portfolio-Based Language Assessment (PBLA) protocol that was fully implemented in all Language Instruction for Newcomers to Canada (LINC) programs in 2019 requires instructors and students to set language-learning goals and complete, compile, and reflect on numerous authentic language tasks. Due to the language barriers incurred when communicating with beginner English-as-a-second-language literacy learners (BELLs), no PBLA research has been conducted with BELLs. To address this gap, we interviewed 26 BELLs (n = 2 from 13 L1s) and their instructors (n = 4) about their understanding and use of PBLA. Student interviews were conducted with the assistance of bilingual interpreters in the students’ L1s. All the interviews were then transcribed and thematically analyzed in relation to PBLA’s alignment with the six dimensions in Turner and Purpura’s (2016) learning-oriented assessment framework: contextual, elicitation, proficiency, learning, instructional, interactional, and affective. Results have implications for optimizing learning, and task-based instruction and assessment practices in LINC.


Author(s):  
Benjamin Obonyo Bella ◽  
Peter Koome ◽  
Susan Kamuru

This research sought to investigate the effects of instructional materials used at community resource centers on adult literacy learners in community development activities with a specific focus on Nyamira North Sub–County, Kenya. The study was guided by the constructivism theory of learning. It employed the descriptive survey design where a sample of 254 learners was drawn from a population of 492 adult learners in the study area using the stratified random sampling method. Questionnaires were administered to elicit information from the respondents. The collected data were analyzed using descriptive statistical methods. From the findings, there was a clear indication that textbooks and sewing machines were more available and adequately utilized. Other resources like computers, projectors, ovens, banana ripening chambers, and videos were least available and inadequate. Results further showed that most of the adult learners were involved in small-scale farming as their main economic activity with most of their products was selling them to the market in raw form. Some learners were also involved in natural resource management activities with the majority of them planting trees, water resources management, bridges, and path construction. The study recommended that to diversify the livelihoods of the communities in the study area, the Directorate of Adult Education should provide diverse instructional materials such as ICT facilities and equipment that which will impart value addition skills to the learners.


2021 ◽  
Vol 3 ◽  
Author(s):  
Su Chen ◽  
Ying Fang ◽  
Genghu Shi ◽  
John Sabatini ◽  
Daphne Greenberg ◽  
...  

This paper describes a new automated disengagement tracking system (DTS) that detects learners’ maladaptive behaviors, e.g. mind-wandering and impetuous responding, in an intelligent tutoring system (ITS), called AutoTutor. AutoTutor is a conversation-based intelligent tutoring system designed to help adult literacy learners improve their reading comprehension skills. Learners interact with two computer agents in natural language in 30 lessons focusing on word knowledge, sentence processing, text comprehension, and digital literacy. Each lesson has one to three dozen questions to assess and enhance learning. DTS automatically retrieves and aggregates a learner's response accuracies and time on the first three to five questions in a lesson, as a baseline performance for the lesson when they are presumably engaged, and then detects disengagement by observing if the learner's following performance significantly deviates from the baseline. DTS is computed with an unsupervised learning method and thus does not rely on any self-reports of disengagement. We analyzed the response time and accuracy of 252 adult literacy learners who completed lessons in AutoTutor. Our results show that items that the detector identified as the learner being disengaged had a performance accuracy of 18.5%, in contrast to 71.8% for engaged items. Moreover, the three post-test reading comprehension scores from Woodcock Johnson III, RISE, and RAPID had a significant association with the accuracy of engaged items, but not disengaged items.


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