Transcriptional Analysis Research Articles

The role of ChatGPT in mitigating loneliness among older adults: An exploratory study

<b>Purpose:</b> This exploratory study aims to investigate the potential of ChatGPT in mitigating loneliness among older adults.<br /> <b>Design/methodology/approach:</b> 20 participants aged 60 and above engaged in three conversational sessions with ChatGPT over two weeks. Data collection involved pre- and post-intervention assessments using the UCLA Loneliness Scale, analysis of conversation transcripts, and semi-structured interviews.<br /> <b>Findings:</b> Our findings indicate that ChatGPT shows promise in alleviating loneliness among older adults. Participants found the tool easy to use, engaging, and emotionally supportive. They established an emotional connection with ChatGPT, suggesting its potential to provide comfort and companionship to those experiencing loneliness.<br /> <b>Conclusion:</b> ChatGPT demonstrates potential as a tool to address loneliness in older adults, offering emotional support and engagement. However, it should be viewed as a complement rather than a replacement for human interaction. Future research should explore its long-term efficacy and its integration with other interventions.

From Sensors to Standardized Financial Reports: A Proposed Automated Accounting System Integrating IoT, Blockchain, and XBRL

Modern advances in technology have increased the demand for traditional accounting systems to be upgraded for real-time data processing, security, and standardized reports. Thus, this paper proposes a new accounting information system that integrates IoT, blockchain, and XBRL. The proposed system aims to automate the accounting process by using IoT to collect data and send it automatically to a blockchain, which acts as a database that will generate journal entries automatically through smart contracts. XBRL will then be used as an output method for standardized financial reports based on the data transferred from the blockchain. This paper uses a qualitative research design based on semi-structured interviews with 13 industry experts from IT engineering, academia, and financial systems analysis. NVivo software was used to conduct a thematic analysis of interview transcripts. The findings demonstrated that integrating IoT, blockchain, and XBRL is technically feasible, with significant potential to enhance accounting systems. Additionally, the findings identified key challenges of the proposed system, including the complexity of integration, data validation across technologies, costs, user adoption, and scalability concerns. However, the results showed that this system offers substantial benefits, such as real-time data capture from IoT devices, secure data storage and immutability through blockchain, standardized financial reporting via XBRL, accounting process automation, improved data accuracy, and enhanced security and transparency in financial reporting. The study also identified an optimal mechanism for ensuring seamless data transmission between these technologies. The study makes a valuable contribution to the accounting field by providing a new framework for automating data collection, enhancing data security, and streamlining financial reporting, with significant potential to advance accounting systems and improve transparency, accuracy, and efficiency in financial reporting. The study’s potential to impact accounting systems and financial reporting research and practice emphasizes its importance.

Sustainable environmental education using virtual reality: A module for improving environmental citizenship competences in secondary schools

Sustainable environmental education (SEE) can develop global citizens. However, environmental education in schools does not develop environmental citizenship (EC). Virtual reality (VR) could provide authentic immersive experiences to evoke emotions for positive action for EC. A SEE module, designed to include VR experiences, was evaluated at a secondary school to determine if it could improve students’ EC. A quasi-experimental single-group pre-test post-test design was conducted with 30 students, followed by focus group interviews with the students. The findings indicated the module was effective in improving EC scores. Analysis of interview transcripts indicated students were engaged and motivated to learn with VR and improved in EC competences. However, the future actions for EC were limited to individual actions and not community-based actions. Although there was some potential in the SEE module, some improvements are needed. Future studies could investigate strategies for making students agents of change in the community.

Student Pharmacists’ Perceptions of Artificial Intelligence and Machine Learning in Pharmacy Practice and Pharmacy Education

This study explored student pharmacists' perceptions and attitudes regarding artificial intelligence (AI) and Machine Learning (ML) in pharmacy practice. Due to AI/ML's promising prospects, understanding students' current awareness, comprehension, and hopes for their use in this field is essential. In May 2024, a Zoom focus group discussion was conducted with six student pharmacists using a self-developed interview guide. The guide included questions about the benefits, challenges, and ethical considerations of implementing AI/ML in pharmacy practice and education. The participants' demographic information was collected through a questionnaire. The research team conducted a thematic analysis of the discussion transcript. The results generated by a team member using NVivo were compared with those generated by ChatGPT, and all discrepancies were addressed. Student pharmacists displayed a generally positive attitude towards the implementation of AI/ML in pharmacy practice but lacked knowledge about AI/ML applications. Participants recognized several advantages of AI/ML implementation in pharmacy practice, including improved accuracy and time-saving for pharmacists. Some identified challenges were alert fatigue, AI/ML-generated errors, and the potential obstacle to person-centered care. The study participants expressed their interest in learning about AI/ML and their desire to integrate these technologies into pharmacy education. The demand for integrating AI/ML into pharmacy practice is increasing. Both student and professional pharmacists need additional AI/ML training to equip them with knowledge and practical skills. Collaboration between pharmacists, institutions, and AI/ML companies is essential to address barriers and advance AI/ML implementation in the pharmacy field.

A Pilot CBT-Based Group Mental Health Intervention for SGM Asylum Seekers

This study investigated the feasibility and acceptability of a culturally adapted group therapy intervention for SGM asylum seekers. From an initial pool of 16 eligible individuals contacted, five completed a majority of the intervention group sessions as well as exit interviews. Thematic analysis of these interview transcripts, as well as a case study of one participant, suggested that participants had a positive perception of the intervention and developed new cognitive behavioral therapy skills, including distress tolerance, cognitive flexibility, assertiveness, and self-compassion skills. Themes identified included a reduction in social isolation, enhanced solidarity, and heightened motivation for therapy engagement. Participants expressed preferences for culturally relevant discussion topics and identified the importance of privacy and personalized attention in the individual sessions that supplemented the group program. Despite logistical hurdles and variable engagement levels, the studied intervention has the potential to alleviate mental health morbidity in this underserved and vulnerable population, as well as spark interest in further engagement in therapy.

Rural community-centred co-planning for sustainable rural health systems.

Sustaining rural healthcare services is challenging because of numerous systemic factors. Rural communities can inform the design of sustainable rural health models; however, further evidence of effective co-design is needed to guide implementation. The study aim was to co-design a series of place-based and evidence-informed rural health models, to improve local health system sustainability. A rural region (categorised as Modified Monash Model 5) defined by three adjoining Shires in Central and Northwest Victoria, Australia. A health executive co-planning network led the co-design, with input and oversight from a broader cross-sector group. Healthcare professionals (n = 44) and consumers and carers (n = 21) participated in interviews, and an online survey was completed by healthcare professionals (n = 11) and consumers and carers (n = 7) to provide feedback on the preliminary results. Community-based participatory action research was applied incorporating co-design methods and systems thinking. Data were collected through qualitative interviews followed by an online feedback survey. Mixed method data analysis (QUAL-quant) was conducted with qualitative directed content analysis of interview transcripts and quantitative descriptive analyses of survey responses to aid prioritisation. Healthcare priorities, strengths and challenges, and proposed rural health models are described. A rural health system sustainability strategy was developed with three integrated pillars: 1. Workforce strengthening, 2. Integrated health services and 3. Innovative models of care. Community-centred co-design with rural health stakeholders was effective for generating locally tailored ideas and potential health models that emulate community strengths and resources, and provide a foundation for further planning, implementation and evaluation.

College Students' Metaphors for ChatGPT: An Exploratory Study

ABSTRACTThe introduction of ChatGPT has sparked significant interest and presented both great opportunities and challenges to higher education. While more students are using ChatGPT, little is known about their mental models for and sensemaking of the system, including the metaphors they use to understand the system. In this exploratory study, we interviewed 25 students at three universities in the US during the summer of 2023 to identify the metaphors they use for ChatGPT. Through qualitative analysis of the interview transcripts, we found that participants commonly used metaphors to make sense of ChatGPT. They compared ChatGPT to humans and popular technologies or tools, with being the most frequently Google mentioned. These findings highlight the potential for metaphor‐based design and the development of AI literacy programs.

Competing Endogenous TMPO-AS1-let-7c-5p- LDHA RNA Network Predicts the Prognosis of Lung Adenocarcinoma Patients.

Lactate dehydrogenase is dysregulated in several cancer types. However, the mechanism of its dysregulation in lung cancer is not fully understood. We utilized web-based computational databases to conduct gene expression analysis on LDHA, identified its regulator, and explored their role in the prognosis of lung cancer. We used various web-based computational tools, including the UALCAN, TIMER2.0, ENCORI, TCGA Portal, OncoDB, and GEPIA2 datasets for lung cancer analysis in this study. We also performed survival, biological processes, and metastasis analysis using various computational tools. We also carried out co-expression functional enrichment analysis using the Enrichr and TIMER databases, multivariate analysis of survival and pathological stage, and transcriptional regulation analysis using the ENCORI and OncoDB datasets. Furthermore, LDHA inhibitor binding of withanolides was analyzed using Auto Dock Tools 1.5.6, LigPlot+, and Pymol. The study found that the higher levels of LDHA gene expression were associated with poor prognosis and overall survival in lung cancer patients. We identified 11 key genes co-expressed with LDHA; out of them, two genes, MKI67 and PGK1, showed a strong positive correlation with LDHA and associated poor survival outcomes in LUAD patients. Furthermore, we also identified hsa-let-7c-5p and TMPO-AS1 as potential regulators of LDHA in LUAD. It might be possible that the TMPO-AS1- hsa-let-7c-5p-LDHA ceRNA network could serve as a potential regulator of aerobic glycolysis in LUAD and can serve as prognostic biomarkers. Further, Withanolides can inhibit the activity of LDHA and can be tested as an adjuvant treatment. We conclude that LDHA is overexpressed in LUAD, and the patients with high expression of LDHA exhibit poor prognosis. Further, the TMPO-AS1-hsa-let-7c-5p-LDHA ceRNA network can regulate aerobic glycolysis, thereby facilitating tumor growth in lung cancer.

Therapeutic effects of S-allyl-L-cysteine in a mouse endometriosis model and its immunomodulatory effects via regulation of T cell subsets and cytokine expression.

Endometriosis is a female hormone-dependent gynecological disorder characterized by chronic inflammation. Therefore, the development of novel treatment strategies that can diminish the side effects of the long-term use of hormone-based drugs has been emphasized. S-Allyl-L-cysteine (SAC) is the major constituent of aged garlic extracts. Although the therapeutic effects resulting from the antioxidant properties of SAC have been extensively studied in inflammatory diseases, the therapeutic efficacy of SAC in endometriosis has not been described. In this study, we investigated the therapeutic potential of SAC for endometriosis using a mouse model. An endometriosis mouse model was surgically induced, and oral treatment with 30mg/kg SAC was administered daily for 28 days. The development of endometriotic lesions was assessed by histological analysis, and the expression profiles of adhesion-, apoptosis-, and inflammation-related genes were evaluated by PCR. Flow cytometric analysis of mouse spleen was conducted to assess changes in lymphocyte subpopulations. SAC treatment significantly inhibited endometriotic lesion growth. Transcriptional expression analysis revealed the antiadhesion and apoptosis-promoting effects of SAC. In particular, SAC showed an effective immune modulatory response by altering splenic CD4+ and CD8+ T cell subsets and inflammatory cytokine production in the spleen and endometriotic lesions. This study newly elucidates the inhibitory effects of SAC on the growth of endometriosis in a mouse model and describes its immunomodulatory effects.

Longitudinal transcriptional immune profiles and persistent wheezing in moderate-to-late preterm infants.

Prematurity is associated with an increased risk of persistent wheezing but the underlying mechanisms are not well defined. The aim of this study was to identify blood transcriptional profiles associated with the development of wheezing in a cohort of moderate to late preterm infants and to define immune gene expression changes associated with wheezing. A convenience sample of a multicenter birth cohort (SAREPREM) of moderate-late preterm children followed during the first 3 years of life was analyzed. Children were enrolled in the first 2 weeks of life (Y0) and longitudinally evaluated at 1 (Y1), 2 (Y2), and 3 years (Y3) of age, for the presence of wheezing and to obtain samples for transcriptional profile analysis. Samples were processed on Illumina HT12 chips and genomic expression analyses performed with R programming, modular analysis for biological function, and QuSAGE for quantitative gene expression. Seventy-six children were included in the study; 33 were classified as non-wheezing and 43 (56.6%) in the wheezing group. At Y0, children who developed wheezing had decreased expression of interferon genes and increased expression of B cell genes compared with the non-wheezing group. These changes in IFN and B cell gene expression were especially significant in children with late/persistent wheezing compared with transient wheezers. Changes in IFN and B lymphocyte gene expression identified in early life suggest the existence of specific immunological mechanisms that play an important role in the development of wheezing in late-preterm infants.

Hepatitis B Virus-KMT2B Integration Drives Hepatic Oncogenic Processes in a Human Gene-edited Induced Pluripotent Stem Cells-derived Model

Background & AimsHepatitis B virus (HBV)-DNA integration into the host genome contributes to hepatocellular carcinoma (HCC) development. KMT2B is the second most frequent locus of HBV-DNA integration in HCC, however its role and function remain unclear. We aimed to clarify the impact of HBV-KMT2B integration in HCC development using a human genome-edited induced pluripotent stem cells (iPSCs) model. MethodsBased on the genetic information on HBV-KMT2B integration in HCC, we determined its complete DNA sequence and transcript variants. To exclude the effect of other oncogenic mutations, we reproduced HBV integration in healthy donor iPSCs with an intact genome and analyzed its effects using iPSC-derived hepatic progenitor cells (HPCs) and hepatocytes (iPS-Heps). ResultsThe reproduced HBV-KMT2B integration significantly upregulated the proliferation of hepatic cells. Comprehensive transcriptional and epigenetic analyses revealed enhanced expression of cell cycle-related genes in hepatic cells with HBV-KMT2B integration based on perturbation of histone 3 lysine 4 tri-methylation(H3K4me3), mimicking that in the original HCC sample. Long-read RNA-sequence detected the common KMT2B transcript variants in the HCC sample and HPCs. Overexpression of the truncated variant significantly enhanced proliferation of hepatic cells, whereas HBV-KMT2B fusion transcripts did not enhance proliferation. HBV-KMT2B-integrated HPCs exhibited replication stress and DNA damage, indicating that our model initiated the process of hepatocarcinogenesis due to abnormally promoted KMT2B function. ConclusionsOur disease model using genetically engineered iPSCs provides the first insight into both the KMT2B function in HCC development and the oncogenic processes by HBV-KMT2B integration. We clarified the novel oncogenic mechanism in HBV-related HCC due to aberrant KMT2B function.

Transcriptomic and metabolomic changes might predict frailty in SAMP8 mice.

Frailty is a geriatric, multi-dimensional syndrome that reflects multisystem physiological change and is a transversal measure of reduced resilience to negative events. It is characterized by weakness, frequent falls, cognitive decline, increased hospitalization and dead and represents a risk factor for the development of Alzheimer's disease (AD). The fact that frailty is recognized as a reversible condition encourages the identification of earlier biomarkers to timely predict and prevent its occurrence. SAMP8 (Senescence-Accelerated Mouse Prone-8) mice represent the most appropriate preclinical model to this aim and were used in this study to carry transcriptional and metabolic analyses in the brain and plasma, respectively, upon a characterization at cognitive, motor, structural, and neuropathological level at 2.5, 6, and 9 months of age. At 2.5 months, SAMP8 mice started displaying memory deficits, muscle weakness, and motor impairment. Functional alterations were associated with a neurodevelopmental deficiency associated with reduced neuronal density and glial cell loss. Through transcriptomics, we identified specific genetic signatures well distinguishing SAMP8 mice at 6 months, whereas plasma metabolomics allowed to segregate SAMP8 mice from SAMR1 already at 2.5 months of age by detecting constitutively lower levels of acylcarnitines and lipids in SAMP8 at all ages investigated correlating with functional deficits and neuropathological signs. Our findings suggest that specific genetic alterations at central level, as well as metabolomic changes in plasma, might allow to early assess a frail condition leading to dementia development, which paves the foundation for future investigation in a clinical setting.

A Qualitative Descriptive Study Exploring the Systemic Challenges of Caring for Children With Medical Complexity at Home

IntroductionThe purpose of this study is to explore challenges within the home care system encountered by parental caregivers of children with medical complexity in Massachusetts. MethodA qualitative descriptive study was completed with 11 parental caregivers interviewed. ResultsUsing conventional content analysis of transcripts, three themes emerged: (1) lack of discharge preparedness causes emotional distress, (2) care becomes increasingly complex creating new unanticipated challenges, and (3) psychological toll of parents assuming provider role. DiscussionNavigating a variety of complex systemic challenges with minimal preparation or support contributes to an overall feeling of parental caregiver burnout. Additionally, mental health supports for parental caregivers are lacking, further exacerbating the negative impact of these challenges. Future work should focus on research, advocacy, and system reform that ensures parental caregivers receive necessary supports to care for children within a sustainable and supportive home care model. Nurses across the profession are in unique position to facilitate this change.

Emerging lessons from experiences at transitions in care among hospitalised patients with cancer with postdischarge frequent emergency department use: a qualitative study using linked clinical and patient-reported interview data from Quebec, Canada

BackgroundWhile teamwork is essential to providing high-quality patient-centred care, challenges in interprofessional collaboration and decision-making in hospital settings are common, especially for patients with cancer. The purpose of this qualitative...

Gut microbiota of miR-30a-5p-deleted mice aggravate high-fat diet-induced hepatic steatosis by regulating arachidonic acid metabolic pathway.

Patients with non-alcoholic fatty liver disease (NAFLD) often exhibit hepatic steatosis and dyslipidemia. Studies have shown that intestinal microorganisms are closely related to the occurrence of NAFLD and atherosclerosis. Our previous study has underscored the protective role of microRNA-30a-5p (miR-30a-5p) against atherosclerosis. In the present study, we aimed to elucidate the effect and underlying mechanism of the intestinal microorganisms of miR-30a-5p knockout (KO) mice on NAFLD. Our findings demonstrated that KO exacerbated high-fat diet (HFD)-induced hepatic steatosis and disrupted liver function, as evidenced by elevated levels of total cholesterol, low-density lipoprotein, alanine aminotransferase, aspartate transaminase, and total bile acids in serum. Fecal microbiota from HFD-fed KO mice induced hepatic steatosis, dyslipidemia, and higher levels of enzymes indicative of liver damage in wild-type mice. Remarkably, KO mice significantly intensified the above effects. 16s rDNA sequencing and metabolomics of the intestinal microbiota in the HFD-treated KO and WT mice showed that the loss of miR-30a-5p resulted in intestinal microbiota imbalance and was highly related to the arachidonic acid metabolic pathway. Targeted metabolomic in the liver tissues unveiled upregulation of COX-related (PGF2a, 8-iso-PGF2a and PGF2) and LOX-related (LTB4, LTD4, 12S-HETE and 15S-HETE) factors in HFD-treated KO mice. Immunohistochemistry and transcriptional analyses showed that miR-30a-5p affected arachidonic acid metabolism through the LOX/COX pathways. Besides, COX/LOX pathways and hepatic steatosis were reversed after reintroducing miR-30a-5p in HFD-treated KO mice. This study reveals the pivotal mechanism by which miR-30a-5p and intestinal microbes regulate hepatic steatosis and abnormal lipid metabolism, offering promising avenues for NAFLD and atherosclerosis therapeutics. MiR-30a-5p deletion aggravated hepatic steatosis and lipid disorder induced by an HFD in mice. Gut microbiota participated in the regulation of hepatic steatosis in the context of miR-30a-5p. Gut microbiota metabolism-related arachidonic acid metabolic pathway contributed to miR-30a-5p-regulated hepatic steatosis and lipid disorder. Reintroducing miR-30a-5p reversed hepatic steatosis and arachidonic acid metabolism disorder caused by HFD and miR-30a-5p deletion.

Insight into prostate cancer osteolytic metastasis by RelB coordination of IL-8 and S100A4.

Although RANK-LRANK interaction is essential for osteoclastogenesis, the mechanisms by which cancer cells invade bone tissues and initiate osteolytic metastasis remain unclear. Here, we show that the hyperactivation of RelB fosters prostate cancer (PCa) osteolytic metastasis by coordinating interleukin-8 (IL-8) and calcium-binging protein A4 (S100A4). The factors promoting PCa bone metastasis were investigated in sera from PCa patients and tumour tissues derived from nude mice using immunohistochemical analysis and enzyme-linked immunosorbent assays (ELISA). Cell mobility and mineralization were quantified using BioStation CT and Osteolmage assay. The relative cistrome was investigated in advanced PCa cells by standard transcriptional analyses, including the luciferase reporter response, site-directed mutagenesis, and chromatin immunoprecipitation (ChIP) assay. PCa cell-initiated tumour formation, expansion, and bone metastasis were validated in mice using multiple approaches, including orthotopic, intraskeletal, and caudal arterial implantation models. IL-8 and S100A4 correlated with patient Gleason scores and bone metastasis. RelB upregulated IL-8, facilitating androgen receptor (AR)-independent growth. RelB-Sp1 interaction enhanced epithelial-mesenchymal transition (EMT) by activating Snail and Twist. RelB-NFAT1c super-enhancer upregulated S100A4 in the organization of the cytoskeleton and bone metastasis. The RelB-IL-8-S100A4 signalling axis was confirmed to promote osteolytic metastasis in nude mice. RelB-IL-8 reciprocally promoted EMT by activating inflammatory signalling and inactivating AR signalling. IL-8 is essential for provoking PCa metastasis but insufficient to drive bone metastasis. IL-8-S100A4 cooperation was necessary for metastatic cells to target the bone. RelB activates inflammatory signalling by upregulating IL-8 and suppressing AR. RelB upregulates S100A4 by cooperating with NFATC1. IL-8 boosts EMT by activating Snail 1 and Twist 1, and S100A4 exacerbates osteolytic metastasis via calcium consumption. RelB harnesses IL-8 and S100A4 to drive PCa osteolytic metastasis.

Shedding light on Klebsiella pneumoniae virulence: Engineering of broad host range bioluminescence reporter vectors for transcriptional analysis in drug resistant pathogens.

In this work, we report the construction of four bacterial luciferase-based promoter probe vectors with an expanded set of selectable markers, designed to facilitate their use in antibiotic-resistant bacteria. These vectors contain the low-copy-number, broad-host-range pBBR origin of replication and an origin of transfer, allowing efficient conjugative transformation into various bacterial genera. The broad host range origin also enables their use in bacterial strains that harbor other plasmids, as the pBBR origin is compatible with a wide variety of other plasmid replication systems. The utility of these vectors was demonstrated by quantifying capsule gene expression in both classical and hypervirulent Klebsiella pneumoniae strains lacking tolC, which encodes the outer membrane pore protein for tripartite transport systems. Our results revealed that the tolC mutation reduced capsule gene expression, highlighting a critical role for tolC in K. pneumoniae pathobiology and the utility of bioluminescence for studying gene expression in real time. These new vectors provide a flexible platform for circumventing antibiotic resistance phenotypes and studying gene expression across diverse bacterial species, including strains containing additional plasmids.

Evaluation of Potential Roles of Zinc Finger Homeobox 3 (Zfhx3) Expressed in Chondrocytes and Osteoblasts on Skeletal Growth in Mice.

Bone formation is tightly modulated by genetically encoded molecular proteins that interact to regulate cellular differentiation and secretion of bony matrix. Many transcription factors are known to coordinate these events by controlling gene transcription within networks. However, not all factors involved are known. Here, we identified a novel function forZinc Finger Homeobox 3(Zfhx3), a gene encoding a transcription factor, as a regulator of bone metabolism. We knocked outZfhx3conditionally in mice in either chondrocytes or osteoblasts and characterized their bones by micro-CT in 12-week-old mice. We observed a negative effect in linear bone growth in both knockout mice but reduced bone mass only in mice withZfhx3deleted in osteoblasts. Loss of Zfhx3 expression in osteoblasts affected trabecular bone mass in femurs and vertebrae in both sexes but influenced cortical bone volume fraction only in females. Moreover, transcriptional analysis of femoral bones in osteoblastZfhx3conditional knockout mice revealed a reduced expression of osteoblast genes, and histological evaluation of trabecular bones suggests that Zfhx3 causes changes in bone formation and not resorption. The loss of Zfhx3 causes reductions in trabecular bone area and osteoid volume, but no changes in the expression of osteoclast differentiation markers or number of TRAP stained osteoclasts. These studies introduce Zfhx3 as a relevant factor toward understanding gene regulatory networks that control bone formation and development of peak bone mass.

A case study on reducing language anxiety and enhancing speaking skills through online conversation lessons

Second language learners, particularly those with lower proficiency, often struggle with insufficient practice and heightened anxiety when speaking. This case study investigates the impact of one-onone online conversation lessons on a university student’s speaking skills and language anxiety. The participant, a university student with low proficiency in the target language, engaged in eight online lessons. Quantitative measurements of speaking skills and anxiety levels were taken using pre- and post-tests. Results indicated that the online lessons effectively improved the participant’s speaking abilities and reduced their anxiety. Qualitative analysis of lesson and interview transcripts highlighted specific factors contributing to these changes, such as the role of feedback. This study adds to the field of technology in language learning by demonstrating the potential of online conversation lessons with corrective feedback as an effective individual learning modality for lower-level second language learners.

Deciding on “next steps” together: Using progress guides to better differentiate feedback for all in diverse middle school math and science classrooms

While researchers and practitioners have long known that differentiating formative feedback (FF) is a requisite for creating more equitable learning opportunities for students, less is known about how teachers plan for, enact, and reflect on differentiated FF dialogues with students individually, in small groups, or as a whole class—a lens on practice we refer to as “configurations”. This empirical, qualitative case study used a new FF framework to explore how middle-school math and science teachers engaged in FF dialogues with students in different configurations, modalities (written, spoken, nonverbal feedback), and directionalities (teacher-driven, peer-to-peer-driven, self-driven feedback). Findings from analyses of classroom videos, transcripts, and reflections on the use of criterion-referenced assessment tools, including a tool called a “progress guide”, found participants engaged in differentiated FF conversations with students more frequently when using scaffolds/tools. Teachers reported more confidence when using progress guides to launch one-on-one and small-group discussions of “first-draft” responses to tasks. The use of progress guides in student-driven self-assessment protocols also increased teachers’ sense of self-efficacy in providing differentiated feedback during class time. Results showed that equity-oriented feedback exchanges in high-needs schools centred on visible boundary objects such as progress guides helped teachers and students plan “next steps” with purpose and intention.