scholarly journals Enhancing the quality of student teachers’ reflective teaching practice through building a virtual learning community

2021 ◽  
Vol 5 (1) ◽  
pp. 54-71
Author(s):  
Wai Cheong Jacky Pow ◽  
Kwok Hung Lai

Microteaching and reflection remains an important technique that pre-service student teachers can use to practice their teaching in a safe environment. However, improvements in teaching are not guaranteed without the support and feedback from peers. Previous studies suggest that a learning community supported by information technology promotes improved pedagogical decisions. This study aimed to examine whether virtual learning communities can facilitate student teachers’ reflection upon their teaching practice. A video database with both text- and voice-comment functionalities was designed to facilitate the process of giving peer feedback and improve the quality of teaching practice. Student teachers’ experiences in using the video database were collected through a questionnaire survey and feedback recorded within the database. Findings indicated that student teachers demonstrated a better understanding of concepts and theories relevant to the teaching of the chosen language skill area. While only some student teachers reflected on their reflective teaching practice more effectively with voice-comment features, most of them did peer evaluation of relevant principles and techniques used in their microteaching. Although feedback on the comment functionalities was divided, student teachers trusted that the microteaching videos with their own reflection and peer feedback were good evidence of their learning outcomes. Future research should examine what types of peer feedback in virtual learning communities may work more effectively in enhancing the quality of reflective teaching practice.

Author(s):  
Winnie Wing-mui So ◽  
Vincent Hing-keung Hung ◽  
Walker Yee-wing Yip

<span>This research started with the design and implementation of an online digital video database, followed by a study of how three student teachers used it in building a virtual learning community that enabled the sharing of teaching practices during their first teaching practicum in the teacher education program. The student teachers made use of teaching practice videos that were edited into 'learning objects' ready for peer evaluation. The peer evaluation was conducted by an online discussion forum among community members, which provided the data for analysis. The findings give insight into how comments and feedback flowed within the learning community, and how the videos in the form of learning objects helped to generate various categories of teaching practices. Finally, a follow up focus group discussion provided useful data regarding the possibilities and limitations of creating a learning community centred on sharing constructed learning objects in an online digital video database.</span>


2020 ◽  
Vol 5 (2) ◽  
pp. 33-61
Author(s):  
Kai Wang ◽  
Yu Zhang

AbstractPurposeOpinion mining and sentiment analysis in Online Learning Community can truly reflect the students’ learning situation, which provides the necessary theoretical basis for following revision of teaching plans. To improve the accuracy of topic-sentiment analysis, a novel model for topic sentiment analysis is proposed that outperforms other state-of-art models.Methodology/approachWe aim at highlighting the identification and visualization of topic sentiment based on learning topic mining and sentiment clustering at various granularity-levels. The proposed method comprised data preprocessing, topic detection, sentiment analysis, and visualization.FindingsThe proposed model can effectively perceive students’ sentiment tendencies on different topics, which provides powerful practical reference for improving the quality of information services in teaching practice.Research limitationsThe model obtains the topic-terminology hybrid matrix and the document-topic hybrid matrix by selecting the real user’s comment information on the basis of LDA topic detection approach, without considering the intensity of students’ sentiments and their evolutionary trends.Practical implicationsThe implication and association rules to visualize the negative sentiment in comments or reviews enable teachers and administrators to access a certain plaint, which can be utilized as a reference for enhancing the accuracy of learning content recommendation, and evaluating the quality of their services.Originality/valueThe topic-sentiment analysis model can clarify the hierarchical dependencies between different topics, which lay the foundation for improving the accuracy of teaching content recommendation and optimizing the knowledge coherence of related courses.


2012 ◽  
pp. 1019-1038
Author(s):  
Maria Chiara Caschera ◽  
Alessia D’Andrea ◽  
Fernando Ferri ◽  
Patrizia Grifoni

Interaction among members in Virtual Learning Communities influences the communities’ evolution. Starting from this consideration, this chapter provides a discussion on the more widely used software systems that support interaction between virtual communities’ members and virtual learning environment underlining the advantages and the disadvantages considering the several processes that characterize the VLCs. Moreover in education environments interactions are important in order to facilitate the learning process, and this chapter describes how the intelligent agent approaches can bean interesting alternative to a human facilitator. The analysis of intelligent agents describes how they allow both analysing interaction and improving the level of participation of members of a Virtual Learning Community.


Author(s):  
Ben Daniel ◽  
Richard A. Schwier

With advances in communication technology and online pedagogy, virtual learning communities have become rich learning environments in which individuals construct knowledge and learn from others. Typically, individuals in virtual learning communities interact by exchanging information and sharing knowledge and experiences with others as communities. The team at the Virtual Learning Community Research Laboratory has employed an array of methods, including social network analysis (SNA), to examine and describe different virtual learning communities. The goal of the study was to employ mixed methods to explore whether the content of students’ interaction reflected the fundamental elements of community. SNA techniques were used to analyse ties and relationships among individuals in a network with the goal of understanding patterns of interactions among individuals and their activities, and interviews were conducted to explore features and student perceptions of their learning community.


1999 ◽  
Vol 5 (2) ◽  
pp. 10-16
Author(s):  
Alberto CRUZ ◽  
Edward W. CHOW

LANGUAGE NOTE | Document text in English; abstract also in Chinese.Teacher Concerns Questionnaire (TCQ) was administered to 75 Hong Kong pre-service and in-service student teachers of primary physical education prior to their teaching practice or the commencement of teaching supervision period. Results showed no significant differences in all concern scale scores between groups and the three-factor structure of TCQ could not be replicated. Recommendations for future research were made: First, a modified TCQ for physical educators needs to be specifically designed. Second, qualitative data should be collected for more in-depth study of teacher concerns. Third, longitudinal research design should be used. Fourth, other factors that are likely to influence teacher concerns should also be considered.75位職前及在職小學師訓體育敎師於實習/視導開始前填寫「敎師關注問題問卷」(TCQ)。結果顯示職前及在職小學師訓體育敎師關注的問題並無顯著差異。因素分析結果亦沒有出現TCQ的三因子結構。作者建議未來進行有關研究時應:(一)設計及採用專為探討體育敎師關注問題的問卷;(二)使用質的研究方法'更深入地探討敎師關注問題;(三)進行長期追縱研究;及(四)考慮其他可能影響敎師敎學關注問題的因素。


Author(s):  
Georgina Martin ◽  
Evans Atteh

In today’s keen competitive global environment, schools and institutions of higher learning are entrusted to produce quality human capital that is able to participate and cope with the ever changing market demands in various sectors of the economy such as education, business and commerce, and technology. The quality of education that students receive is inextricably linked to the knowledge, intelligence, professional skills and competencies of teachers. Teachers are the major in – school influence on student achievement and the most influential profession in the society that make huge differences to children’s lives. The professional roles and qualities of the teacher are blended to make him/her an effective teacher. With teacher preparation issues becoming a major concern for many societies today, it is therefore crucial to shed more light on pre-service teachers teaching practice program aimed at positively influencing the quality level of our student teacher preparation to assist them in carrying out their core mandate as and when they become fully grown teachers. The issues in focus are; the concept of teaching practice, why the need for teaching practice for student teachers, supervisors and supervision, supervisions and feedback, and challenges in supervision.


2019 ◽  
Vol 5 (1) ◽  
pp. 27-50
Author(s):  
Tamar Tas ◽  
Thoni Houtveen ◽  
Wim Van de Grift

Purpose The purpose of this paper is to answer the question, what progress student teachers make during one academic year, while being trained in a professional learning community, using objective classroom observation, using lesson preparation templates that match their developmental stage and stage-focused mentor feedback. Design/methodology/approach The teaching skills of the student teachers (n=101) were measured at the start and at the end of the academic year. For the measurements, the standardized and psychometrically tested International Comparative Analysis of Learning and Teaching observation instrument is used. Findings The student teachers achieved a small growth on the basic teaching skills and a medium growth on two of the three advanced skills for teachers. Research limitations/implications Because of the lack of a control group, causal conclusions cannot be made. This research provides knowledge on the actual observed level of teaching skills of student teachers trained in a close collaborating professional learning community. Originality/value Little is known about the actual growth of observable teaching skills of student teachers in elementary education. Teacher training colleges and internship schools in the Netherlands are in search of better ways to collaborate more closely in order to improve the quality of teaching of their student teachers. These findings can inspire teacher training communities to improve their own teaching quality and the teaching quality of their student teachers.


2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Estefanía Fernández Antón

Este trabajo tiene como objetivo mostrar el principio dialógico “creación de sentido” en los grupos interactivos de un colegio que se convirtió en una Comunidad de Aprendizaje para mejorar la calidad de la enseñanza de los escolares. El principio señalado fue analizado a partir de la metodología comunicativa crítica. Las técnicas de recogida de datos empleadas fueron la observación comunicativa, la entrevista grupal y el análisis documental. Uno de los resultados más significativos de este trabajo es que los alumnos y alumnas puedan mejorar sus conductas sociales con la ayuda de la comunidad educativa.   Palabras clave: Aprendizaje dialógico, Comunidades de Aprendizaje, grupos interactivos, metodología comunicativa crítica.   ABSTRACT   The objective of this work is to show the dialogical principle of the “creation of meaning” within the interactive groups of a particular school that became the Learning Community to improve the quality of the students’ learning. The principle stated was analyzed from the critical communicative methodology. The techniques of investigation used were; the communicative observation, the group interviews, and the documentary analysis. One of the most significant results of this work is that the students may be able to improve their social behavior with the help of the educational community.   Keywords: Dialogic learning, Learning Communities, interactive groups, critical communicative methodology.   Recibido: febrero de 2015Aprobado: abril de 2015


Author(s):  
Maria Chiara Caschera ◽  
Alessia D’Andrea ◽  
Fernando Ferri ◽  
Patrizia Grifoni

Interaction among members in Virtual Learning Communities influences the communities’ evolution. Starting from this consideration, this chapter provides a discussion on the more widely used software systems that support interaction between virtual communities’ members and virtual learning environment underlining the advantages and the disadvantages considering the several processes that characterize the VLCs. Moreover in education environments interactions are important in order to facilitate the learning process, and this chapter describes how the intelligent agent approaches can bean interesting alternative to a human facilitator. The analysis of intelligent agents describes how they allow both analysing interaction and improving the level of participation of members of a Virtual Learning Community.


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