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32,061 result(s) for "Preservice teachers"
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Acceptance of artificial intelligence among pre-service teachers: a multigroup analysis
Over the past few years, there has been a significant increase in the utilization of artificial intelligence (AI)-based educational applications in education. As pre-service teachers’ attitudes towards educational technology that utilizes AI have a potential impact on the learning outcomes of their future students, it is essential to know more about pre-service teachers’ acceptance of AI. The aims of this study are (1) to discover what factors determine pre-service teachers’ intentions to utilize AI-based educational applications and (2) to determine whether gender differences exist within determinants that affect those behavioral intentions. A sample of 452 pre-service teachers (325 female) participated in a survey at one German university. Based on a prominent technology acceptance model, structural equation modeling, measurement invariance, and multigroup analysis were carried out. The results demonstrated that eight out of nine hypotheses were supported; perceived ease of use (β = 0.297***) and perceived usefulness (β = 0.501***) were identified as primary factors predicting pre-service teachers’ intention to use AI. Furthermore, the latent mean differences results indicated that two constructs, AI anxiety (z = − 3.217**) and perceived enjoyment (z = 2.556*), were significantly different by gender. In addition, it is noteworthy that the paths from AI anxiety to perceived ease of use (p = 0.018*) and from perceived ease of use to perceived usefulness (p = 0.002**) are moderated by gender. This study confirms the determinants influencing the behavioral intention based on the Technology Acceptance Model 3 of German pre-service teachers to use AI-based applications in education. Furthermore, the results demonstrate how essential it is to address gender-specific aspects in teacher education because there is a high percentage of female pre-service teachers, in general. This study contributes to state of the art in AI-powered education and teacher education.
How Does Initial Teacher Education Research Frame the Challenge of Preparing Future Teachers for Student Diversity in Schools? A Systematic Review of Literature
Teachers consistently identify working with \"diverse learners\" as challenging. This raises questions about how teacher educators conceptualize and enact preparation of teachers for heterogeneous populations. This article provides a systematic review of literature relating to both \"teacher education\" and \"diverse learners,\" to identify knowledge claims regarding the way this \"problem\" and possible \"solutions\" should be framed. Analyzing 209 peer-reviewed journal articles (2009-2019), the article identifies groups most frequently described as diverse, three qualitatively different clusters of claims regarding how teachers can be prepared for diversity, and factors identified as constraining preparation. Analysis reveals a literature broad in focus - referencing many groups - but shallow in depth. The majority describe strategies for teaching about or catering to diversity with only few considering teaching for diversity. There is also limited engagement with specialist literature relating to concepts such as gender or race and little attention to teacher educators' own knowledge. The article concludes with implications for teacher educators, arguing for enhanced critical epistemic reflexivity. [Author abstract]
Learning and Teaching Online During Covid-19: Experiences of Student Teachers in an Early Childhood Education Practicum
Online learning is an educational process which takes place over the Internet as a form of distance education. Distance education became ubiquitous as a result of the COVID-19 pandemic during 2020. Because of these circumstances, online teaching and learning had an indispensable role in early childhood education programs, even though debates continue on whether or not it is beneficial for young children to be exposed extensively to Information and Communication Technology (ICT). This descriptive study demonstrates how a preservice teacher education course in early childhood education was redesigned to provide student teachers with opportunities to learn and teach online. It reports experiences and reflections from a practicum course offered in the Spring Semester of 2020, in the USA. It describes three phases of the online student teachers’ experiences–Preparation, Implementation, and Reflection. Tasks accomplished in each phase are reported. Online teaching experiences provided these preservice teachers with opportunities to interact with children, as well as to encourage reflection on how best to promote young children’s development and learning with online communication tools.
Teacher Coaching in a Simulated Environment
This article evaluates whether providing coaching between practice sessions in teacher education courses leads to more rapid development of skills and changes in teachers’ beliefs about student behavior, using mixed-reality simulations as a practice space and standardized assessment platform. We randomly assigned 105 prospective teachers to different coaching conditions between simulation sessions integrated into a teacher preparation program. Coached candidates had significant and large improvements on skills relative to those who only reflected on their teaching. We also observe significant coaching effects on candidates’ perceptions of student behavior and ideas about next steps for addressing perceived behavioral issues. Findings suggest that skills with which novices struggle can improve with coaching and do not have to be learned “on the job.”
(Non)native Speakered: Rethinking (Non)nativeness and Teacher Identity in TESOL Teacher Education
Despite its imprecision, the native-nonnative dichotomy has become the dominant paradigm for examining language teacher identity development. The nonnative English speaking teacher (NNEST) movement in particular has considered the impact of deficit framings of nonnativeness on \"NNEST\" preservice teachers. Although these efforts have contributed significantly towards increasing awareness of NNEST-hood, they also risk reifying the notion that nativeness and nonnativeness are objectively distinct categories. This article adopts a poststructuralist lens to reconceptualize native and nonnative speakers as complex, negotiated social subjectivities that emerge through a discursive process that the author terms (non)native speakering. It then applies this dynamic framework to analyze \"narrative portraits\" of four different archetypical language teachers, two of whom seem to fit neatly into (non)native speakerist frames of language and culture and two of whom deviate from them. It then reflects on how these preservice teachers negotiate, re-create, and resist the produced (non)native speaker subjectivities, and considers the complexity, fluidity, and heterogeneity within each archetype. In the conclusion, the author consider implications of (non)native speakering as a theoretical and analytical frame, as well as possible applications of the data for teacher education.
Learning to Notice Mathematics Instruction: Using Video to Develop Preservice Teachers' Vision of Ambitious Pedagogy
Video is used extensively in teacher preparation, raising questions about what and how preservice teachers learn through video observation and analysis. We investigate the development of candidates' noticing of ambitious mathematics pedagogy in the context of a video-based course designed to cultivate ways of seeing and interpreting classroom interactions. Qualitative analysis of candidates' observations of teaching at the beginning and end of the course generated a framework of practices and associated approaches for noticing instructional interactions. The 3 practices include attending to features of instruction, elaborating on observations, and integrating observations to reason about instruction. Findings reveal that variations in candidates' noticing was tied to their attention to the details of the features of ambitious pedagogy and to the extent to which they integrated observations to examine the relation between student thinking, teaching practice, and mathematical content.
Assessing the Assessment
The Educative Teacher Performance Assessment (edTPA) is a system of standardized portfolio assessments of teaching performance mandated for use by educator preparation programs in 18 states, and approved in 21 others, as part of initial certification for preservice teachers. Because of the high stakes involved for examinees, it is critical that the scores produced and resulting decisions are meaningful and meet robust standards of validity and technical quality for educational measurements. We examined the technical documentation of edTPA and raise serious concerns about scoring design, the reliability of the assessments, and the consequential impact on decisions about edTPA candidates. In light of these findings, we argue that the proposed and actual uses of the edTPA are currently unwarranted on technical grounds.
Effects of infusing the engineering design process into STEM project-based learning to develop preservice technology teachers’ engineering design thinking
BackgroundThis study focuses on probing preservice technology teachers’ cognitive structures and how they construct engineering design in technology-learning activities and explores the effects of infusing an engineering design process into science, technology, engineering, and mathematics (STEM) project-based learning to develop preservice technology teachers’ cognitive structures for engineering design thinking.ResultsThe study employed a quasi-experimental design, and twenty-eight preservice technology teachers participated in the teaching experiment. The flow-map method and metalistening technique were utilized to enable preservice technology teachers to create flow maps of engineering design, and a chi-square test was employed to analyze the data. The results suggest that (1) applying the engineering design process to STEM project-based learning is beneficial for developing preservice technology teachers’ schema of design thinking, especially with respect to clarifying the problem, generating ideas, modeling, and feasibility analysis, and (2) it is important to encourage teachers to further explore the systematic concepts of engineering design thinking and expand their abilities by merging the engineering design process into STEM project-based learning.ConclusionsThe findings of this study provide initial evidence on the effects of infusing the engineering design process into STEM project-based learning to develop preservice technology teachers’ engineering design thinking. However, further work should focus on exploring how to overcome the weaknesses of preservice technology teachers’ engineering design thinking by adding a few elements of engineering design thinking pedagogy, e.g., designing learning activities that are relevant to real life.
Self-Regulated Learning Interventions for Pre-service Teachers: a Systematic Review
Self-regulated learning (SRL) is a key competence for pre-service teachers to develop, both for their own activities as learners and for their future activities as teachers. Therefore, it is crucial to understand how pre-service teachers can be supported in acquiring SRL competence in their initial training. To reach this aim, we conducted a systematic review of SRL interventions for pre-service teachers. Sixty-six intervention studies fulfilled the inclusion criteria. We explored three aspects of those SRL interventions, and how they moderate the interventions’ effectiveness: (1) the theoretical and practical underpinnings of SRL, (2) whether the intervention aimed to promote SRL learning and/or teaching of SRL, and (3) the intervention’s pedagogical characteristics and content related to the SRL professional competences. We found that the most effective SRL interventions (1) focused the training on one or two SRL areas (especially cognition and metacognition); (2) when targeted both, SRL learning and teaching of SRL, pre-service teachers’ SRL skills improved as well as their pedagogical skills; and (3) addressed direct and implicit SRL instruction, inside which self-assessment of learning and teaching practices appear as an effective pedagogical method. We derive implications from our findings for designing effective SRL interventions for prospective teachers.
Micro-teaching 2.0 : Technology as the classroom
Currently pre-service teachers (PSTs) practise teaching by interacting in real-life situations naturally occurring within variable school-based practicums. These are not ideal contexts for beginning teachers because they put novices in situations with real students before demonstrating capability, feedback is often not at point of need and they do not provide all students with similar experiences. Simulation and micro-teaching combine to provide a technological solution to bridge the gap between graduate preparation and real application. This study draws on situated learning and reflective practice ideologies to critique and problematise Micro-teaching 2.0 - a combination of traditional micro-teaching practices and human looped simulations. The findings reveal increased self-efficacy of PSTs (n = 376) and identify the benefits and challenges of Micro-teaching 2.0 for initial teacher education programs. Micro-teaching 2.0 proved to be an effective diagnostic tool for identifying the specific needs of PSTs and a preparatory tool for real-life placements. The controlled learning environment addresses previous issues related to the variability of contexts and subsequent moderation of individual capabilities. The findings are timely as the teaching profession continues to be scrutinised and where technological advances continue to offer choice, challenges and creative options for educators. [Author abstract]