1,720,959 research outputs found
TECHNOLOGY-ENHANCED TEACHING: A REVOLUTIONARY APPROACH TO TEACHING ENGLISH AS A FOREIGN LANGUAGE
Full text linkThe online course offerings have grown exponentially globally since the turn of the 21st century - be they as a primary mode of instruction or as a supplement to traditional face-to-face classroom instruction, and this phenomenon is most noticeable in higher education. More recently, the new technology has also been integrated into the English as a Foreign Language,henceforth called EFL, classrooms. This article argues that the notion of technology-enhanced language learning is not just an intriguing idea – it is a necessity, for it has a great potential to offer in facilitating the development of English language proficiency of EFL learners through computer-mediated communication. Additionally, it contends that the new technology can potentially address most, if not all, of the shortcomings inherent to the EFL classroom including, but not limited to, lack of exposure to the target language, lack of practice, and lack of learning resources. Theoretical implications of technology-enhanced language teaching and learning will also be explored
CRITICAL SUCCESS FACTORS IN ONLINE LANGUAGE LEARNING
Full text linkWith the proliferation of online courses nowadays, it is necessary to ask what defines the success of teaching and learning in these new learning environments exactly. This paper identifies and critically discusses a number of factors for successful implementation of online delivery, particularly as far as online language learning is concerned. These include student and teacher characteristics, instructional design, provision of support to instructors and students, technology, and language skills characteristics. I argue that these factors need to be care-fully considered when designing online language learning simply because they could potentially impinge on students' learning and learning experience in these new learning environments
How Important Is Communicating with Native English Speakers to EFL Learners’ Self-Confidence in their English Language Proficiency?
Full text linkResearch evidence shows that communicating and interacting with native speakers could boost students’ self-confidence in their language proficiency. If this claim proves to be veritable, students who have the experience communicating and interacting with native speakers, either online or offline, would expectedly feel more confident than those who do not. The present study sought to examine whether significant differences existed in the self-confidence level of EFL (English as a Foreign Language) learners who (a) had the experience communicating with native English speakers and who did not; (b) had the intention to communicate with native English speakers and who did not; (c) were males and females, and (d) who were in different academic years (year 1, year 2, and year 3 respectively). Independent samples t-test revealed that, whereas males and females were equally confident, learners who had the experience interacting, or who had the intention communicating, with native English speakers were significantly more confident in their English language proficiency than those who had never interacted, or who did not have the intention to communicate, with native English speakers. No significant differences were observed based on year of enrollment. Implications of this study on the English language teaching and learning will be critically discussed in this paper
Rancang Bangun Aplikasi Dough Resting Detection Menggunakan Metode Bitmap Image Comparison Dan Algoritma Naïve Bayes
Full text linkDough merupakan salah satu bahan dasar yang dapat dijadikan banyak
jenis makanan seperti roti, kue, mie, dan pasta. Dalam proses pengolahan
makanan menggunakan dough membutuhkan waktu fermentasi yang biasa disebut
resting. Kesempurnaan proses resting dipengaruhi oleh beberapa faktor seperti
kelembaban udara dan suhu sehingga waktu untuk melakukan proses resting tidak
dapat dipastikan. Oleh karena itu, diperlukan suatu aplikasi yang mampu
mendeteksi kesempurnaan proses resting dan dengan penggunaan teknologi yang
tepat untuk memudahkan pengguna. Selain itu, diterapkan algoritma Naïve Bayes
dalam aplikasi untuk mengklasifikasi dough. Dengan menggunakan Naïve Bayes
data dihitung berdasarkan data yang sudah diuji (data training), juga
menggunakan Bitmap Image Comparison untuk membandingkan ukuran dough
yaitu dengan mengecek setiap pixel pada koordinat yang sama di antara kedua
gambar dan dilihat jika terdapat perbedaan, dengan jumlah perbedaan pixel pada
kedua gambar hasil perbesaran dari kedua gambar dough didapatkan. Aplikasi
dibangun untuk alat dengan sistem operasi Android. Setelah melakukan
implementasi dan proses pengujian aplikasi terbukti cukup baik dalam
menentukan kesempurnaan proses resting dough karena hasil pengujian
mendapatkan nilai akurasi aplikasi yang dibangun sebesar 90% dengan
menggunakan data training dan 100% jika pengujian dilakukan menggunakan
data testing
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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