International Journal of Emerging Technologies in Learning (iJET)
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Published By International Association Of Online Engineering

1863-0383, 1868-8799
Updated Wednesday, 28 July 2021

Author(s):  
Fengming Jiao ◽  
Jiao Song ◽  
Xin Zhao ◽  
Ping Zhao ◽  
Ru Wang

The learning model and environment are two major constraints on spoken English learning by Chinese learners. The maturity of computer-aided language learning brings a new opportunity to spoken English learners. Based on speech recognition and machine learning, this paper designs a spoken English teaching system, and determines the overall architecture and functional modules of the system according to the system’s functional demand. Specifically, MATLAB was adopted to realize speech recognition, and generate a speech recognition module. Combined with machine learning algorithm, a deep belief network (DBN)-support vector machine (SVM) model was proposed to classify and detect the errors in pronunciation; the module also scores the quality and corrects the errors in pronunciation. This model was extended to a speech evaluation module was created. Next, several experiments were carried out to test multiple attributes of the system, including the accuracy of pronunciation classification and error detection, recognition rates of different environments and vocabularies, and the real-timeliness of recognition. The results show that our system achieved good performance, realized the preset design goals, and satisfied the user demand. This research provides an important theoretical and practical reference to transforming English teaching method, and improving the spoken English of learners.


Author(s):  
Narin Nonthamand ◽  
Narissara Suaklay

This research were aimed 1) to survey the self-regulation behavior among of University of Phayao students 2) to survey the online learning behavior among of University of Phayao students and 3) to study factors on self-regulation that has an influence on an online learning. Sample Group con-sisted of 450 students who enroll general education course of an online courses. The research tool was questionnaire forms about self-regulation in an online course and online learning behavior. The statistics were used to an-alyse the data as follows: mean (M), standard deviation (S.D.), and Stepwise Multiple Regression Analysis. The result found that 1) the students’ behavior on self-regulation was mainly on decision making (M = 3.89) 2) the students’ online learning be-havior was mainly on learner aspect (M = 3.88) and 3) the factors that sup-port students’ online learning behavior consisting of self-observation factor, decision making factor and self-regulation factor. The percentage was 39.90, and shown the raw score and standard score was found from this formula online learning behavior = 0.822 + 0.423 (self-reaction) + 0.183 (self-observation) + 0.141 (decision making) Z online learning behavior = 0.377 Z self-reaction + 0.169 Z self-observation + 0.137 Z decision making


Author(s):  
Tina Štemberger ◽  
Sonja Čotar Konrad

The purpose of the study was to determine what attitudes specifically Slove-nian student teachers hold towards using digital technologies in education, their self-reported proficiency in using digital technologies in education and to what extent their attitudes towards using digital technologies in education predict their self-reported proficiency in using digital technologies. We measured the attitudes towards using digital technologies in education through four dimensions: Teaching and learning, Assessment and critical thinking, Empowering learners and Facilitating learner’s digital competence. Self-reported proficiency in using digital technology was measured on four groups of digital technologies: Digital resources, Communication tools, Digi-tal tools and Online learning tools. The results show that Slovenian student teachers predominantly hold positive attitudes towards using digital technol-ogies in education, but they assess themselves as low-level users. Also, the student teachers’ attitudes towards using digital technologies in education were proved as an important predictor of their level of proficiency in using digital technologies.


Author(s):  
Ji Won You ◽  
Yoonsook Chung

Traditional academic transcripts are usually restricted to demonstrating stu-dents’ achievements and experiences during college life. As an example of extended transcripts, this study aims to introduce the development process behind an end-user product for a project performance evaluation system (PPES), which supports conducting project performance evaluations and generates project performance transcripts at a university. The first part of the study described the design process of the PPES. A user group of instructors, which continuously provided feedback on the prototype design, was formed. Consequently, the PPES was successfully developed and several main inter-faces of the PPES were presented. The second part of the study analyzed user satisfaction with the PPES and the project performance transcripts it pro-duced. In general, students perceived the project performance transcripts positively, and instructors were satisfied with both the PPES and its tran-scripts. The implications of developing a project performance evaluation sys-tem were discussed.


Author(s):  
Viktoriia Tserklevych ◽  
Olha Prokopenko ◽  
Olena Goncharova ◽  
Inna Horbenko ◽  
Oksana Fedorenko ◽  
...  

The article presents the results of theoretical substantiation and practical ap-probation of modern possibilities for applying the visual teaching method. The EU countries’ educational experience on modern ways of working with museum expositions to form economic thinking is studied. The content of the two-stage pedagogical experiment is characterized. At the first stage, the possibilities of using educational excursions through museums and histori-cally significant territories of cities as a studying method are researched. The authors’ pedagogical product is presented - regional-themed tours on eco-nomics’ history. Using Ukrainian museums’ online resources (virtual tours, virtual exhibitions) has been developed and tested at the second stage. The thematic catalog of Ukrainian museums’ online resources for broad research practices has been created. The presented innovative tool has shown its ef-fectiveness in improving the educational process quality, forming infor-mation and media literacy, and applying inclusive education. This pedagogi-cal tool is essential in the context of the COVID-19 pandemic and for stu-dents with disabilities.


Author(s):  
Chien-Yuan Su ◽  
Yu-Hang Li ◽  
Cheng-Huan Chen

Recent research has been very attentive to the examination of learners’ behavioural patterns of using learning management systems (LMS), but these studies seldom address the diversity in the LMS usage behaviours of teachers. This study aimed to discover the behavioural patterns of university instructors regarding the use of an LMS by using sequential and clustering analysis techniques. The usage behaviours of 268 teachers at a public university in China were extracted from the Blackboard platform over the course of one-semester. These behaviours were classified according to five different LMS behavioural types: (1) course and content; (2) assignment; (3) communication and collaboration; (4) assessment; and (5) administration. The results indicated that the most frequent teachers’ LMS usage behaviour was course and content followed by assessment and administration. The results of the sequential analysis indicated that most of the instructors are used to adopting communication and collaboration and assignment when they finish using course and content. In addition, three distinct usage behavioural pattern subgroups were named as teachers preferred assessment, teachers of regular use, and teachers of less use. Implications of these findings are discussed in the light of the university teachers’ behavioural patterns toward using the LMS.


Author(s):  
Najeh Rajeh Alsalhi ◽  
Mohd. Elmagzoub Eltahir ◽  
Sami Al-Qatawneh ◽  
Nadia Ouakli ◽  
Hanine Bou Antoun ◽  
...  

The key goal of the paper is to study the influence of blended learning on the academic perfor-mance of students of a statistics Bluman course at the University of Ajman. The study was implemented by means of a quasi-experimental design. The sample of the study was 268 students, grouped into two groups: one experimental group (n = 135) that used blended learning; and the other a control group (n = 133) which was educated using the traditional method. The researchers prepared the achievement test as a tool of study after verifying its validity and reliability. The findings indicated significant statistical differences among the mean scores on the students’ post-test achievement in the two study groups, in favor of experimental group students, who were educated through blended learning. Furthermore, the outcomes showed that the scores of the experimental group students were diverse based on the variable of gender (in favor of females), and based on the variable of students’ academic year (supporting those students in the fourth academic year). However, no statistically significant difference was found among the students according to the variable of the college in which they studied. The study recommends that mixed learning is to be employed more broadly to include various educational fields.


Author(s):  
Marina Kolmykova ◽  
Nadezhda Gavrilovskaya ◽  
Mariya Barsukova ◽  
Daria Kozlovskaya

This work examines the effect of microblogging, social networking, and short messaging in e-learning on the process of information culture formation. The study takes an experimental training course "The Psychology of Management" designed with Moodle, which implies the use of Instagram, and applies it to a sample of master’s level students. Learners were recruited from the Higher School of Economics and Business (Al-Farabi Kazakh National University) together with the Institute of Economics and Management in Agribusiness (Russian State Agrarian University - Timiryazev Moscow Agricultural Academy (RSAU – MTAA)). Students were asked to briefly express their thoughts, attitudes, and views toward the given topic on Instagram by creating blog posts and leave motivational and constructive comments under the blogs of other group members. The emotional responses of learners to the innovative style of teaching (i.e., the use of blogs) and its effect on the learning process were assessed using surveys. The study discusses the effect of blogging on Instagram as an educational tool. The majority of respondents reported a positive effect of blogs. According to learners, the use of Instagram gave the learning journey a makeover, making it relevant, effortless, and consistent. The use of blogs was found to create favorable conditions for collaborative learning, creative self-expression, and systematization of knowledge and experiences. Students reported that doing blogs was entertaining, motivating, and beneficial to their critical thinking, writing skills, and communication competency.


Author(s):  
Suya Liu ◽  
Sihong Zhang

The aim of this study was to reveal hotspots and frontiers of computer-assisted English learning (CAEL) studies indexed by EI Compendex database from 2001 to 2020 via bibliometric analysis. The publication output has exponentially grown in the past two decades and is likely to progress in the next several years. China occupied the leading position, while Lecture Notes in Computer Science was the most prolific journal, and Deyi Xiong was the most productive author. Keyword analysis was assisted by VOSviewer software. Our results show that “computer aided instruction”, “computer aided language translation” and “learning systems” were the most frequently used keywords in documents. CAEL studies were mainly conducted from five dimensions (technology, learners, teaching, English acquisition and testing). The findings of this study have implications for English language instructors. Teaching methods and modes should be adjusted according to technology development.


Author(s):  
Hussein Al-Yaseen

Abstract. Academic publishing appears to be the most important key of the academic functions (academic research, excellence in teaching and learning and community services). Selecting the right journal to publish research results is a challenge to academics. Yet, there is inadequate knowledge about a model specifically directed at the topic of the journal selection process with a mathematical certainty. The objectives of this research are: to identify the main factors that an author or researchers consider when selecting an academic journal for submitting a manuscript, and, to develop a mathematical algorithm of journal selection that provide the best journal choice with a mathematical certainty based on difficulty of each factor. Quantitative research through questionnaires has been applied as an appropriate instrument base to address the researcher’s identification of the factors that should be considered when selecting a journal for submission a manuscript. Questionnaire developed and emailed to academics in 31 public and private universities in the developing countries. Academics in the sample reported that the most important publication difficulty factors were publishing in reputable journals that are indexed and abstracted in well-known databases, and publishing in a journal that has an impact factor. However, the most least publication difficulty factors were found to be: number of issues per year of the journal and if the journal is an open access or with subscription. The proposed mathematical algorithm (equation) and a graphical model of journal’s publication difficulty factors were developed and tested on a sample of journals.


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