Beyond self-directed computer-assisted pronunciation learning: a qualitative investigation of a collaborative approach

Tsai, Pi-Hua

doi:10.1080/09588221.2019.1614069

Cited by 27 publications

(22 citation statements)

References 26 publications

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“…Studies about online collaborative learning in English language instruction have generally shown positive results; it is deemed to allow rich language input, diverse learning tasks, the less lecturing burden for teachers, and improved interests in learning (Arnold & Ducate, 2019;Dooly & Sadler, 2016;Tsai, 2019). A study by Mohammed et al (2020) also suggests that online collaboration offers high potential to engage students to learn and practice the language beyond classroom settings.…”

Section: Scope and Gap Identificationmentioning

confidence: 99%

Using Collaborative Learning Approach to Improve Learner’s Mental Lexicon of Word Association

Susantiningdyah

Inayati

Dirgantari

et al. 2022

pijtel

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A collaborative learning approach has been identified to lessen anxiety and allow more comprehensible inputs to be processed cognitively to result in meaningful outputs. This study specifically examines the effectiveness of the collaborative learning approach and its best fit model supplemented with several techniques to improve students’ mastery of the mental lexicon of the word association. This Classroom Action Research involved 60 college students in their senior years in Institut Teknologi Kalimantan. The data collection involved two cycles in which each cycle employed planning, implementation, analysing learning activities and learning outcome and finally reflection. To gain insight through each cycle, a cloze test and a survey were administered. Furthermore, the result was analysed qualitatively and the finding reveals a significant improvement in terms of the mental lexicon of word association repertoire especially in cycle 2. The percentage of the students meeting the criteria of success doubled at 71.67% while the students’ learning perception throughout each cycle was successfully maintained. Collaborative learning also helped most students to create a positive perception to level up their mental lexicon mastery

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Section: Scope and Gap Identificationmentioning

confidence: 99%

Using Collaborative Learning Approach to Improve Learner’s Mental Lexicon of Word Association

Susantiningdyah

Inayati

Dirgantari

et al. 2022

pijtel

View full text Add to dashboard Cite

show abstract

“…• self-evaluation. Consequently, in view of the self-directed learning as a complex skill or set of skills, it consists of (Mohd Salleh, Zulnaidi, Abdul Rahim, Zakaria, & Hidayat, 2019;Tsai, 2019): Self-assessment of learning gaps, Self-evaluation skills, reflection skills, critical thinking skills, information management skills, communication skills and collaboration skills, self-discipline.…”

Section: Self-directed Learningmentioning

confidence: 99%

Self-directed Learning in Secondary Education During Remote Study Process. Case Study in Latvia

Slišāne¹

2021

Human, Technologies and Quality of Education, 2021

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Due to rapid technological changes and innovations, by graduation students have to be equipped with skills necessary for lifelong learning. There is an increasing potential for students’ further development in the digital environment. In high school, it is necessary to build and improve the students’ skills of self-assessing their own learning needs, as well as setting educational objectives and measuring their success. The importance of self-directed learning has increased particularly in the context of COVID-19. In many countries, educational institutions are closed and studying process is remote, reducing the level of teacher involvement and increasing pupils’ own responsibility for their learning outcomes. Changing the classroom from direct spatial presence to the digital environment also changes learning opportunities and increases the importance of digital skills. It is therefore necessary to identify whether pupils possess the necessary self-directed learning skills for the purpose of learning, selecting activities and study materials, managing time, structuring the learning environment, skills to communicate and collaborate and assess their performance, as well as the digital skills needed to organise the digital learning environment and identify the major challenges in remote learning. The results of the study show that pupils have assessed their self-driving learning skills as sufficient, however, as well as that the learning process has been challenging and has created motivational, self-discipline and socializing problems.

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“…In pronunciation recognition, a multifrequency oscillator is designed to automatically calibrate the pronunciation accuracy, while the calibration of the circuit conversion is the key to realize the conversion of the English printing information mode. By collecting and controlling the original pronunciation information of the circuit, the accuracy of system's automatic correction data can be improved [8].…”

Section: Introductionmentioning

confidence: 99%

Automatic Correction System Design for English Pronunciation Errors Assisted by High‐Sensitivity Acoustic Wave Sensors

Sheng

Yang

2021

Journal of Sensors

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For correction system of English pronunciation errors, the level of correction performance and the reliability, practicability, and adaptability of information feedback are the main basis for evaluating its excellent comprehensive performance. In view of the disadvantages of traditional English pronunciation correction systems, such as failure to timely feedback and correct learners’ pronunciation errors, slow improvement of learners’ English proficiency, and even misleading learners, it is imperative to design a scientific and efficient automatic correction system for English pronunciation errors. High-sensitivity acoustic wave sensors can identify English pronunciation error signal and convert the dimension of collected pronunciation signal according to channel configuration information; acoustic wave sensors can then assist the automatic correction system of English pronunciation errors to filter out interference components in output signal, analyze real-time spectrum, and evaluate the sensitivity of the acoustic wave sensor. Therefore, on the basis of summarizing and analyzing previous research works, this paper expounds the current research status and significance of the design of automatic correction system for English pronunciation errors, elaborates the development background, current status and future challenges of high-sensitivity acoustic wave sensor technology, introduces the methods and principles of time-domain signal amplitude measurement and pronunciation signal preprocessing, carries out the optimization design of pronunciation recognition sensors, performs the improvement design of pronunciation recognition processors, proposes the hardware design of automatic correction system for English pronunciation errors based on the assistance of high-sensitivity acoustic wave sensors, analyzes the acquisition program design for English pronunciation errors, implements the parameter extraction of English pronunciation error signal, discusses the software design of automatic correction system for English pronunciation errors based on the assistance of high-sensitivity sound wave sensor, and finally, conducts system test and its result analysis. The study results show that the automatic correction system of English pronunciation errors assisted by the high-sensitivity acoustic wave sensors can realize the automatic correction of the amplitude linearity, sensitivity, repeatability error, and return error of English pronunciation errors, which has the robust functions of automatic real-time data collection, processing, saving, query, and retesting. The system can also minimize external interference and improve the accuracy of acoustic wave sensors’ sensitivity calibration, and it provides functions such as reading and saving English pronunciation error signals and visual operation, which effectively improves the ease of use and completeness of the correction system. The study results in this paper provide a reference for the further researches on the automatic correction system design for English pronunciation errors assisted by high-sensitivity acoustic wave sensors.

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Beyond self-directed computer-assisted pronunciation learning: a qualitative investigation of a collaborative approach

Cited by 27 publications

References 26 publications

Using Collaborative Learning Approach to Improve Learner’s Mental Lexicon of Word Association

Using Collaborative Learning Approach to Improve Learner’s Mental Lexicon of Word Association

Self-directed Learning in Secondary Education During Remote Study Process. Case Study in Latvia

Automatic Correction System Design for English Pronunciation Errors Assisted by High‐Sensitivity Acoustic Wave Sensors

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