ABSTRACT
In this report, a nationally representative sample of kindergarten through 12th grade (K-12) public school principals were asked about their experiences with covering classrooms and hiring staff. In the spring of the 2021-2022 school year, which coincided with the coronavirus disease 2019 (COVID-19) omicron variant surge, most principals struggled to keep classrooms consistently staffed and many reported that hiring had become more challenging since the previous school year. Principals indicated that a lack of substitute teachers -- not an increase in open teaching positions -- was the main reason for classroom coverage shortages. In addition to day-to-day coverage issues, most principals reported that teacher vacancies were on the rise. Most of these principals believed that vacancies had grown more difficult to fill than in the prior school year, largely because of declining applicant counts. Principals' preferences when hiring teachers lend further insight into potential drivers of hiring challenges. A large majority of principals expressed strong preferences for like-minded teachers whose mindsets aligned with the vision and culture of the schools. Few principals prioritized the diversity of the educator workforce at their schools.
ABSTRACT
Affective computing (AC) has been regarded as a relevant approach to identifying online learners' mental states and predicting their learning performance. Previous research mainly used one single-source data set, typically learners' facial expression, to compute learners' affection. However, a single facial expression may represent different affections in various head poses. This study proposed a dual-source data approach to solve the problem. Facial expression and head pose are two typical data sources that can be captured from online learning videos. The current study collected a dual-source data set of facial expressions and head poses from an online learning class in a middle school. A deep learning neural network using AlexNet with an attention mechanism was developed to verify the syncretic effect on affective computing of the proposed dual-source fusion strategy. The results show that the dual-source fusion approach significantly outperforms the single-source approach based on the AC recognition accuracy between the two approaches (dual-source approach using Attention-AlexNet model 80.96%;single-source approach, facial expression 76.65% and head pose 64.34%). This study contributes to the theoretical construction of the dual-source data fusion approach, and the empirical validation of the effect of the Attention-AlexNet neural network approach on affective computing in online learning contexts.
ABSTRACT
COVID-19 has had serious consequences in all areas of social life, including education. In this period, distance education appeared as an inevitable solution. Even today, when the pandemic process is over and re-normalization has begun, online teaching environments have become such an indispensable part of education systems that it has been decided that a certain proportion of the courses will be conducted online in universities. For this reason, determining student experiences in online courses is important in planning the future of distance education. Since academic performance is the output of the teaching process, students' academic performance is one of the topics of interest in higher education research. There may be different factors affecting the academic performance of students in the distance education process, which imposes more responsibility on students and requires self-control. This study aimed to examine the relationship of academic performance in the distance education with home infrastructure, student interaction, computer skills, academic satisfaction. This research is based on a large-scale study, "The impact of the COVID-19 pandemic on the lives of higher education students", examining the pandemic's impact on higher education student perceptions in 2020. It has been observed that home infrastructure has a significant impact on the student's academic performance. The infrastructure increases the interaction of the student. When home infrastructure is taken as a control variable, students' computer skills are the highest predictor of their perception of academic performance, followed by their online interactions and, finally, perceived satisfaction. Today, pandemic conditions are still ongoing. In addition, even as the pandemic ends, online education has become an indispensable part of our education system. Therefore, the findings of the research would be beneficial for the ongoing planning process.
ABSTRACT
Rapid and continuous changes in digital technologies have changed both classroom practices and teacher profiles in education. It can be argued that a new context of teaching may lead some teachers to develop a different teacher identity in order to meet the needs of the era. Within this perspective, this case study attempts to explore the impacts of Information and Communication Technologies (ICT) revolution in education on teachers' professional identity through the lens of three English instructors from three different contexts in Turkey. The study particularly focuses on reflections of teachers during the pandemic. As a theoretical framework, the study adopts Wenger's (1997) social theory of learning and, within this framework, it discusses these teachers' professional identities in relation to their ICT usage. In particular, three modes of belonging, Engagement, Imagination and Alignment, are underlined. A qualitative approach is employed based on the written history documents of the participants and semi-structured interviews as data collection tools. The findings are gathered with a deductive thematic analysis, and they illustrate that teachers have some external and internal difficulties regarding their ICT usage, and they form a new shape of professional identity mainly through collaboration, community expertise and contributing new ideas in their school contexts. Although the use of new digital technologies mostly enables them to adopt a positive and modern teacher identity in their teaching contexts, it also leads some of them to sometimes question their teacher identity due to their limited ICT knowledge and competence. Thus, the study suggests some implications both for language teachers to invest in their digital identities, and for school administrations to create a friendly atmosphere where the community of expertise can be shared freely among teachers.
ABSTRACT
Teaching during a global pandemic has prompted many discussions about how faculty can best support students and create classrooms where deep learning and engagement occur. In this conversation, we argue there is a role for empathy in college classrooms. We present data from interviews with faculty at a small, Midwestern, teaching-focused university during the fall of 2020. We map these perspectives onto the empathy paths framework and suggest that the therapeutic and instrumental paths are most useful for understanding empathy in the classroom. We also discuss why it is important for faculty to think about empathy and the role sociology can play in these conversations. Finally, we present a series of empathetic practices individual faculty can incorporate into their pedagogy and structural supports that departments and universities can provide to help faculty engage in empathetic practices in the classroom.
ABSTRACT
This report uses Spring 2022 data from nationally representative surveys of principals and math teachers in kindergarten through grade 12 (K-12) to explore students' opportunities to prepare for and take advanced math. The authors found that small high schools, high schools in rural areas, and high schools that predominantly serve students from historically marginalized communities tend to offer fewer advanced math courses (e.g., precalculus, Advanced Placement math courses) and that uneven access to advanced math begins in middle school. K-12 teachers who work in schools that predominately serve students living in poverty are more likely to report skipping standards-aligned content and replacing the skipped content with concepts from previous grade levels. Also, more than half of K-12 math teachers said they need additional support for delivering high-quality math instruction, especially teachers who work in schools that serve predominantly high-poverty students. In the wake of the disproportionate impacts of the COVID-19 pandemic on students living in poverty and students of color, these results highlight a critical need for resources to support teachers and to increase student access to advanced courses. [For technical information about the surveys and analysis in this report, see "Learn Together Surveys. 2022 Technical Documentation and Survey Results. Research Report. RR-A827-9" (ED626092).]
ABSTRACT
Internships are an integral component of most undergraduate and graduate public administration programs. These learning opportunities allow students to get practical experience in a workplace setting before graduation and provide them with an opportunity to apply knowledge gained in the classroom to the "real world." But what are students, departments, and employers to do when circumstances--including major disruptions like the COVID-19 pandemic as well as situations unique to specific students--complicate or even prevent on-site internship experiences? This article outlines a variety of approaches to finding a solution to this problem, weighing the benefits and drawbacks of each.
ABSTRACT
The COVID-19 pandemic has heightened the visibility of economic inequality and the inadequacy of current minimum wage laws in the United States. Changes in the minimum wage, a living wage, or just employment practices may be compelled by law or voluntarily enacted by employers. A literature search failed to yield a concise and practical tool to comprehensively assess existing just employment policies or practices in higher education institutions. This article describes the development of a concise and practical assessment based on the "Model Just Employment Policy" from the Kalmanovitz Initiative for Labor and the Working Poor at Georgetown University. The resulting Just Employment Policy Assessment is used to evaluate the publicly available policies of four disparate higher education institutions in the United States. The article concludes with a discussion of implications for future research and administrative practice.
ABSTRACT
As COVID-19 mutates, the highly infectious omicron mutants (BA. 5.2., BF. 7) tension shrouded China. Given the internet information explosion and youth social media addiction, observing the mental impact on college students during the 2022 Shanghai closure is worthwhile. A pilot survey study was conducted to explore the anxiety levels of college students during the closure. The sample size was limited to 101 second-year college students. In addition to demographics, the survey involved the Self-Rating Anxiety Scale, self-perceived COVID-19 anxiety, frequency of COVID-19 information reception, number of social media accounts, and number of electronic devices. Though 68.4% of students equipped with two electronic devices (N = 95) exceeded the students with only one electronic device, a Chi-square test showed that students with only one electronic device had the highest anxiety index (mean = 50). Further, the Kruskal-Wallis test indicated that the number of electronic devices affected the students' anxiety level (p = 0.027) while social media membership did not (p = 0.565). As a result, it was suggested that social media usage and pandemic information inputs among college students were significant concerns that required special attention from the government, schools, teachers, and families.
ABSTRACT
The present study shows the results of six case studies referring to an intervention applied to mathematical learning difficulties. Participants were 8 to 12 years old. The intervention considered mathematics as a language and it is theoretically based on Bronfenbrenner's bioecological model, Vygotsky's sociocultural theory and Peircean semiotics. The objective was to work on the development of academic skills associating mathematics with interactional social skills. The analysis was based on qualitative data collected during the intervention process and quantitative data from scales and instruments with pre- and post-intervention measures. However, due to the COVID-19 pandemic context, some methodological issues were affected, mainly because the evaluations took place before and in the midst of the pandemic. Social impacts of the pandemic have unevenly affected participants, especially adolescents and children. The pandemic had a worse effect on adolescents than on children, especially regarding procedures that involve memory, and those with attentional problems also had worse results.
ABSTRACT
Purpose: The purpose of this study is twofold. First, this study reflects on the development of professional capital through understanding collective cultural factors, namely, academic optimism and shared vision. Second, it aims at exploring teacher learning. Teacher learning resulting in changes to teacher knowledge, attitudes and practices is crucial for the necessary changes education is continually confronted with. This learning is too often studied as a result of individual traits or structural factors, such as motivation or time. The authors investigated how teacher learning is influenced by academic optimism and shared vision. Design/methodology/approach: The authors administered an online web-based survey to 278 teachers in higher education, using the educational change to online learning due to the COVID pandemic as a unique chance to study the role of collective cultural factors in teacher learning. Findings: Results showed how teachers characterized their learning, academic optimism and shared vision during the educational change to online learning resulting from the COVID pandemic. The authors found that teacher learning was greatly influenced by teachers' collective sense of efficacy, an aspect of their academic optimism. Teachers' strong belief in each other, that they as fellow professionals could handle the challenging changes that the COVID pandemic required, strongly enhanced teacher learning during the COVID pandemic. Teachers' feeling of a professional community helped teacher to make sense of, and push through, the undeniable chaos that was the COVID pandemic. Originality/value: Collective cultural factors are rarely studied in conjunction with educational change. Insights into how a collective culture of professionalism enhances or hinders teacher learning are important for theory, policy and practice as it helps understand how teacher teams can be supported to build their professional capital by learning from educational change.
ABSTRACT
The purpose of this study was to examine the experiences of conductor-teachers and older adult musicians in a New Horizons ensemble engaged in distance online music-making and music learning. This study employed intrinsic and particularistic qualitative case study designs in which older adult musicians and conductor-teachers of a New Horizons orchestra were interviewed and observed for one year during the COVID-19 pandemic. Primary data sources included verbatim interview transcripts of 11 older adult musicians and the principal conductor, e-mail correspondences, video recordings, and the principal conductor's journal entries. Findings distilled from the data included (a) the information communication technology (ICT) and music learning technology (MLT) introduced and the technological pedagogical and content knowledge (TPACK) needed to teach orchestra members and (b) how orchestra members navigated both ICT and MLT to engage in meaningful music-making and music learning in a distance learning environment. Implications for research and practice include challenging implicit assumptions and messages regarding technology use among older adult musicians, continuing post-COVID distance music learning that may lead to promising models for informal music learning, and continued connectivity beyond the locality of the rehearsal hall.
ABSTRACT
Due to the outbreak of COVID 19, an online bilingual curriculum was conducted via "Google Meet." The learning material was developed and implemented by using a smartphone application, STEMUP, based on augmented reality (AR) and automatic speech recognition (ASR) technologies. This study investigated the oral performance and perceptions of learning with STEMUP of ninety non-English major students from several colleges at a technical university in Taiwan. Data were collected from pre- and post-tests and a questionnaire survey. Results indicated that students significantly improved their oral performance and recorded their positive perceptions. Students' oral performance significantly depended on their English proficiency. Their perceptions were not significant related to their English proficiency, gender, or college. Instant feedback and evaluation provided by ASR technology and online "Google" text-to-speech service both embedded in STEMUP helped students notice, modify and improve their listening and speaking skills. They were satisfied with the bilingual curriculum, which helped them increase understanding about content knowledge by the teacher's explanation in Chinese, and improve English listening and speaking skills by learning with STEMUP. This study is a good start in creating an interactive and communicative learning environment where translanguaging is effectively integrated with innovative technologies.
ABSTRACT
Education officials have long hoped that the statewide academic assessments most students take each year could be used not only for accountability but also to guide instruction. Congress established the Innovative Assessment Demonstration Authority (IADA) program in 2015 to help address this goal, offering up to seven states temporary flexibility from federal testing requirements so that they may more easily make progress toward replacing their current assessments with more innovative ones. The key incentive to participate in IADA is that students trying out the innovative assessment are not required to also take the state's current assessment. However, states approved for IADA must still show that their innovative assessments meet most requirements for federal accountability, and they are expected to implement the new assessments statewide within 5 years. This report describes the progress of the first five assessment systems approved under IADA in order to help policymakers consider expanding the program to more states. The report is primarily based on an analysis of states' IADA applications and performance reports to the U.S. Department of Education through the 2020-2021 school year and is part of a broader evaluation of IADA required by Congress. [For the Appendix, see ED627873. For the Study Highlights, see ED627880.]
ABSTRACT
This reflective contribution tells the story of a veteran public sector crisis management (CM) researcher's 35-year journey with educating students and CM practitioners. It offers preliminary insights about how the pandemic experience might -- and should -- induce a significant rethink of how educators conceptualize the nature of crises and the challenges governments and public agencies face in coping with them.
ABSTRACT
Online education has made it possible to implement the "classes suspended but learning continues" policy during the COVID-19 outbreak. However, the intangible sense of the online educational setting requires self-directed learning (SDL) and may force students to know the goals of learning that may impact their engagement. To understand the effect, based on situated expectancy-value theory, this study considered SDL as attitude and approach and constructed a research model to explore the mediating power of perceived value of knowing learning goals (PVKLG) related to participants' online learning engagement during the COVID-19 lockdown. Data were collected from 497 higher education students in China. After the confirmatory factor analysis with structural equation modeling, the results reported that SDL attitude and approach positively predicted learning engagement mediated by PVKLG. The results suggest that only when students have a high level of PVKLG will they be able to regulate their learning process through the two types of SDL and enhance their engagement in online learning contexts during the COVID-19 lockdown.
ABSTRACT
The pandemic forced many education providers to pivot rapidly their models of education to increased online provision, raising concerns that this may accentuate effects of digital poverty on education. Digital footprints created by learning analytics systems contain a wealth of information about student engagement. Combining these data with student demographics can provide significant insights into the behaviours of different groups. Here we present a comparison of students' data from disadvantaged versus non-disadvantaged backgrounds on four different engagement measures. Our results showed some indications of effects of disadvantage on student engagement in a UK university, but with differential effects for asynchronously versus synchronously delivered digital material. Pre-pandemic, students from disadvantaged backgrounds attended more live teaching, watched more pre-recorded lectures, and checked out more library books than students from non-disadvantaged backgrounds. Peri-pandemic, where teaching was almost entirely online, these differences either disappeared (attendance and library book checkouts), or even reversed such that disadvantaged students viewed significantly fewer pre-recorded lectures. These findings have important implications for future research on student engagement and for institutions wishing to provide equitable opportunities to their students, both peri- and post-pandemic.
ABSTRACT
The United States faces an unprecedented mental health crisis, with youth and young adults at the center. Even before the COVID-19 pandemic, nearly 50 percent of college students reported at least one mental health concern. The COVID-19 pandemic notably exacerbated these issues and underscored the urgent need to identify and implement ways to ameliorate the youth mental health crisis. In 2021, the National Academies of Sciences, Engineering, and Medicine called on the field of higher education to address growing concerns about student mental health by identifying and elevating emerging and promising approaches that offer a more holistic way to support students' mental health. Serving as the main entry point for more than 40 percent of students seeking a postsecondary degree, community colleges represent a tremendous and untapped opportunity to better address mental health in the United States, particularly for students who have been traditionally underserved (e.g., students of color, first-generation students, and low-income students). However, community colleges have limited evidence and guidance to inform the implementation of multilevel, holistic approaches to support students with varying mental health needs. To address this knowledge gap, this report shares a descriptive study of eight community colleges at the forefront of implementing multilevel approaches (a combination of prevention, early intervention, and treatment services) to support student mental health, as well as key facilitators for and barriers to their success. [For "How Community Colleges Can Support Student Mental Health Needs. Research Brief. RB-A2552-1," see ED627489.]
ABSTRACT
The United States faces an unprecedented mental health crisis, with youth and young adults at the center. Even before the coronavirus disease 2019 (COVID-19) pandemic, nearly 50 percent of college students reported at least one mental health concern. Without adequate mental health support, college students, including those at community colleges, may be at risk for a variety of academic and nonacademic consequences that negatively affect their overall well-being, including lower college completion rates, higher rates of substance use, and lower lifetime earning potential. This research brief describes a study examining eight community colleges from across the United States which found that, although the institutions did offer mental health services, most lacked a clear organizing framework for those efforts, and that financial challenges limited the support offered to students. The research also highlighted the importance of community college leaders explicitly prioritizing student mental health, as well as broad staff buy-in to the effort. [For the full report, "Supporting the Mental Health Needs of Community College Students. Research Report. RR-A2552-1," see ED627480.]
ABSTRACT
Children and young people with disability are a "vulnerable" population within a pandemic context as they face structural inequities and discrimination as a result of their impairments. In this paper, we report research that sought to examine the learning experiences of children and young people with disability during the COVID-19 pandemic. We wanted to understand how this group fared and whether different interventions impacted on these experiences. Data were collected from an online survey organized by Children and Young People with Disability Australia (CYDA) that garnered responses from more than 700 families. The study contributes empirical evidence to the growing literature about COVID-19-related impacts on learners already recognized as experiencing multiple disadvantages in schooling. We find some significant gaps in supports offered to students with disability and their families. Notwithstanding that some students did not receive any support from their schools, where supports were offered, social supports had the greatest positive impact on feelings of learner engagement. Our findings support key propositions in the social and emotional learning literature, namely that particular resourcing should be dedicated to social interaction and feelings of belonging as these are crucial to learners engaging in learning processes. There are clear implications of these findings in terms of what educational institutions might do to help engage students with disability in remote learning.