Validity and reliability of an English translation of the Teacher Metacognition Inventory (TMI) with mathematics teachers in Singapore

Tay, Lee Yong; Tan, Liang See; Tan, Jason; Aiyoob, Thaslim Begum; Ong, Monica Woei Ling; Lim-Ratnam, Christina; Chua, Puay Huat

doi:10.1007/s12144-021-01622-w

Cited by 4 publications

(5 citation statements)

References 44 publications

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“…erefore, efficient translation between different languages in different fields has become a common demand of contemporary people. Translation is the most direct and effective way to solve communication barriers between natural languages [2]. Traditional translation work is done by professional translators, who can translate natural languages to each other through linguistic knowledge to help people realize information communication.…”

Section: Introductionmentioning

confidence: 99%

The Construction of Machine Translation Model and Its Application in English Grammar Error Detection

Long

2021

Security and Communication Networks

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In order to solve the problems of low accuracy, recall rate, and F1 value of traditional English grammar error detection methods, a new machine translation model is constructed and applied to English grammar error detection. In the encoder-decoder framework, the machine translation model is constructed through the steps of word vector generation, encoder language model construction, decoder language model construction, word alignment, output module, and so on. On this basis, the machine translation model is trained to detect English grammatical errors through dependency analysis and alternative word generation. Experimental results show that the accuracy, recall rate, and F1 value of the proposed method are higher than those of the experimental comparison method for detecting English grammatical errors such as articles, prepositions, nouns, verbs, and subject-verb agreement, indicating that the proposed method is of high practical value.

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Section: Introductionmentioning

confidence: 99%

The Construction of Machine Translation Model and Its Application in English Grammar Error Detection

Long

2021

Security and Communication Networks

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“…The core of the neural machine translation model is to integrate RNN and its variants (including LSTM and Gru), CNN, and other traditional deep learning models into the encoder-decoder framework to realize the machine translation process [29]. For convenience of explanation, this paper takes the Gru (gate recurrent unit) network as the basic network of the framework [30]. Given the source language sentence x = ðx 1 , x 2 , ⋯, x n Þ, the neural machine translation adopts the discriminant modeling method and uses the neural network to directly predict the conditional probability of generating the target language sentence y = ðy 1 , y 2 , ⋯, y m Þ:…”

Section: Contextual Feature Extractionmentioning

confidence: 99%

English Translation Model Based on Intelligent Recognition and Deep Learning

2022

Wireless Communications and Mobile Computing

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Aiming at the problems of low accuracy of English phrase part of speech recognition, poor English translation effect, and long translation time in the traditional English translation model, an English translation model based on intelligent recognition and deep learning is designed. An English phrase corpus was built, the phrase antecedent and postscript likelihood of the improved GLR algorithm by using the quaternion cluster were calculated, and the part of speech of the English phrase corpus was identified. According to the recognition results, the feature extraction algorithm is introduced to extract the best contextual features. On this basis, a neural machine translation model is constructed by integrating the traditional neural network in deep learning and combining the attention mechanism. It is used as a neural machine translation model for English translation. The simulation results show that the English translation model based on intelligent recognition and deep learning has high phrase recognition accuracy, good translation effect, and short translation time, which improves the quality of English translation.

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“…Oleh hal yang sedemikian, selain daripada metakognitif pelajar, guru sendiri juga perlu memiliki kesedaran metakognitif yang tinggi. Hal ini kerana kesedaran metakognitif guru juga memberi kesan yang tinggi dalam proses Pdp matematik (Jiang et al, 2016;Asy'ari et al, 2019;Tay et al, 2021).…”

Section: Pengenalanunclassified

“…Walaubagaimanapun, isu yang utama adalah apabila pengajaran menjadi sesuatu yang rutin, terdapat kecenderungan untuk guru melihat dan bertindak balas terhadap cabaran dalam proses pengajaran adalah dengan cara yang sama, mengikut pengetahuan, pendirian, matlamat, dan pengalaman guru sedia ada (Tay et al, 2021). Natijahnya, guru akan terlepas pandang terhadap perkara yang perlu diambil tindakan dan juga keperluan pelajar.…”

Section: Pengenalanunclassified

Kemahiran Kesedaran Metakognitif Guru dan Guru Pelatih Matematik: Sorotan Literatur Bersistematik

Fathiah

Mahmud²

2022

MJSSH

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Metakognisi merujuk kepada peraturan kendiri individu terhadap pembelajaran mereka sendiri, termasuk kesedaran tentang kekuatan dan kelemahan mereka sendiri, serta pengiktirafan strategi yang mungkin berguna untuk berkembang dalam tugas tertentu. Walau bagaimanapun, kajian sorotan literatur bersistematik berkenaan kesedaran metakognitif guru masih kurang dijalankan di Malaysia. Oleh itu, kajian literatur bersistematik ini bertujuan untuk menganalisis secara kritikal tentang trend penyelidikan berkenaan kesedaran metakognitif guru dan guru pelatih Matematik. Dua pangkalan data iaitu SCOPUS, Web Of Science (WOS) dan Google Scholar telah digunakan untuk mencari artikel yang berkaitan dalam tempoh 5 tahun terkini (2018-2022). Semakan sistematik ini telah dikendalikan selaras dengan Item Pelaporan Pilihan untuk Kenyataan Kajian Semula dan Meta-Analisis (PRISMA). Dapatan kajian pula mendapati bahawa trend penerbitan bagi kajian ini adalah meningkat sebanyak 16 kajian. Hasil kajian menunjukkan terdapat pihak yang mengambil berat tentang kesedaran metakognitif dalam kalangan guru dan guru pelatih. Oleh itu, hasil dapatan ini dapat memberi sumbangan pengkaji yang mengkaji kesedaran metakognitif guru pada masa akan datang.

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Validity and reliability of an English translation of the Teacher Metacognition Inventory (TMI) with mathematics teachers in Singapore

Cited by 4 publications

References 44 publications

The Construction of Machine Translation Model and Its Application in English Grammar Error Detection

The Construction of Machine Translation Model and Its Application in English Grammar Error Detection

English Translation Model Based on Intelligent Recognition and Deep Learning

Kemahiran Kesedaran Metakognitif Guru dan Guru Pelatih Matematik: Sorotan Literatur Bersistematik

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