Pre-service English teachers' experience with various CALL applications: Hindrances and reflection

Syafryadin, Syafryadin; Pratiwi, Veronika Unun; Wardhana, Dian Eka Chandra

doi:10.24815/siele.v8i1.17609

Cited by 13 publications

(12 citation statements)

References 30 publications

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“…Juku correction network can intelligently accumulate teachers' experience in correcting English homework. In the composition correction, English teachers no longer need to spend a lot of time on repeating the same mistakes that students make in English writing [24][25][26]. At the same time, Juku Correction Network can also correct the composition submitted by users in real time, immediately assess the composition score and analyze feedback, so that students can strike while the iron is hot after writing the composition, and quickly correct the mistakes in the composition [27].…”

Section: Related Workmentioning

confidence: 99%

Construction of Knowledge Graph English Online Homework Evaluation System Based on Multimodal Neural Network Feature Extraction

Liao

2022

Computational Intelligence and Neuroscience

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This paper defines the data schema of the multimodal knowledge graph, that is, the definition of entity types and relationships between entities. The knowledge point entities are defined as three types of structures, algorithms, and related terms, speech is also defined as one type of entities, and six semantic relationships are defined between entities. This paper adopts a named entity recognition model that combines bidirectional long short-term memory network and convolutional neural network, combines local information and global information of text, uses conditional random field algorithm to label feature sequences, and combines domain dictionary. A knowledge evaluation method based on triplet context information is designed, which combines triplet context information (internal relationship path information in knowledge graph and external text information related to entities in triplet) through knowledge representation learning. The knowledge of triples is evaluated. The knowledge evaluation ability of the English online homework evaluation system was evaluated on the knowledge graph noise detection task, the knowledge graph completion task (entity link prediction task), and the triplet classification task. The experimental results show that the English online homework evaluation system has good noise processing ability and knowledge credibility calculation ability, and has a stronger evaluation ability for low-noise data. Using the online homework platform to implement personalized English homework is conducive to improving students’ homework mood, and students’ “happy” homework mood has been significantly improved. The implementation of English personalized homework based on the online homework platform is conducive to improving students’ homework initiative. With the help of the online homework platform to implement personalized English homework, students’ homework time has been reduced, and the homework has been completed well, achieving the purpose of “reducing burden and increasing efficiency.”

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Section: Related Workmentioning

confidence: 99%

Construction of Knowledge Graph English Online Homework Evaluation System Based on Multimodal Neural Network Feature Extraction

Liao

2022

Computational Intelligence and Neuroscience

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“…Accordingly, teachers must emphasize the positive aspects while anticipating and resolving the negative aspects. As a result, the reflection will be in a form of evaluation for teachers, particularly in terms of improving their ability to teach and learn (Syafryadin et al, 2021).…”

Section: Data Collectionmentioning

confidence: 99%

Promoting pre-service English teachers’ technological awareness in ELT: narratives from a border area of Indonesia

Taopan

Siregar

2021

J. Eng. Foreign. Lang.

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The need for preparing quality teachers with all essential technological competencies is considered crucial. The present study aims to analyze and reveal how a design activity could raise the technology awareness of pre-service English teachers for language teaching. Taking a case in a border area of Indonesia, this study was qualitatively conducted as a narrative inquiry research model. Data were collected through participatory observation, in-depth interview, and written narrative from a lecturer’s journal. Fifteen pre-service English teachers of a university located in East Nusa Tenggara Indonesia were involved in the study. However, only six participants were interviewed to elicit detailed stories about how the activities in ELT media class could promote their technological awareness. Furthermore, thematic analysis with multiple case studies was applied to analyze the data. The results reveal that the pre-service English teachers develop their awareness of the prominence of technology by experiencing the use of technology provided by their lecturer. Furthermore, peer collaboration is essential during the process of developing technological awareness. The findings provide insights for educators and researchers focusing on the technology integration for teaching and learning in remote areas. Further researches highlighting the evaluation of technology integration is needed regarding remote areas.

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“…Then, lack of funding consists of low-income families, internet costs, and buying laptops or handphones/ etc. Next, lack of ICT abilities consists of a lack of knowledge of use ICT, lack of technological competence, and lack of ICT training (Snoeyink & Ertmer 2001;Syafryadin et al, 2021).…”

Section: Students' Barriers In Using Ictmentioning

confidence: 99%

ICT platforms for Indonesian EFL students viewed from gender during the COVID-19 pandemic

Apriani

Arsyad

Syafryadin

et al. 2022

SiELE

Self Cite

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The aims of this study are to find out (1) ICT (Information and Communications Technology) platform used by male and female students from Islamic universities in Indonesia, (2) their perception of using ICT, and (3) their barriers to using ICT in English language learning during the COVID-19 pandemic. The data was collected from an online questionnaire (Google Form) from students majoring in English from seven Islamic universities in Indonesia. There were 30 male students and 30 female students from every university who participated in this research, making a total of 210 student respondents. The data were analyzed quantitatively by using the SPSS computer program. First of all, female students used more various types of ICT platforms compared to male students. Second, the female students viewed ICT use more positively than male students in language learning. And lastly, even though the females deemed ICT more optimistically compared to male students, nevertheless the females encountered more barriers in using the ICT platforms compared to the male students in this study. Again, even though male students were more skillful in ICT literacy than female students, female students constructively regarded ICT use in language learning as more beneficial to them in terms of skill, knowledge, and motivational improvement.

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Pre-service English teachers' experience with various CALL applications: Hindrances and reflection

Cited by 13 publications

References 30 publications

Construction of Knowledge Graph English Online Homework Evaluation System Based on Multimodal Neural Network Feature Extraction

Construction of Knowledge Graph English Online Homework Evaluation System Based on Multimodal Neural Network Feature Extraction

Promoting pre-service English teachers’ technological awareness in ELT: narratives from a border area of Indonesia

ICT platforms for Indonesian EFL students viewed from gender during the COVID-19 pandemic

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