Determining Standards in English Composition. I

1928 ◽  
Vol 36 (10) ◽  
pp. 757-767 ◽  
Author(s):  
Roy Ivan Johnson
Keyword(s):  
English Composition ◽  
Composition I ◽  
English Composition I

scholarly journals Observing student´s syntactic errors and the perceptions towards writing in the composition cours

Káñina ◽  
2017 ◽  
Vol 41 (1) ◽  
pp. 109
Author(s):  
César Alberto Navas Brenes
Keyword(s):  
Costa Rica ◽  
Cooperative Learning ◽  
Language Skills ◽  
English Composition ◽  
Survey Questionnaire ◽  
English Majors ◽  
Second Year ◽  
Composition I ◽  
The University ◽  
English Composition I

The aim of this article is to observe the improvement reached by two groups of English majors in order to identify and correct syntactic errors in a series of six academic paragraphs during two semesters in the second-year course LM-1235 English Composition I at the University of Costa Rica. In addition, it presents a sample lesson with the integration of different language skills so that learners will benefit from cooperative learning, authentic input, and a sequence of interactive tasks to improve their outcome, being this the case of an academic paragraph and its outline. Finally, the writer analyzes the resul ts of a survey questionnaire that assesses the learners’ perception towards the challenges of writing

Aviation Science Students vs. English Composition I

1972 ◽  
Vol 2 (3) ◽  
pp. 225-230
Author(s):  
Jean Hodgin
Keyword(s):  
Composition Courses ◽  
English Composition ◽  
Science Students ◽  
Audiovisual Material ◽  
Professional Programs ◽  
Composition I ◽  
English Composition I ◽  
Special Composition

Many composition courses do not fit the specialized requirements of students engaged in professional programs. The author states a case for the publishing of special composition texts and the use of special audiovisual material. A third suggestion deals with the instructor using specific resource books to acquire the vocabulary of the profession itself.

scholarly journals Writing to learn and learning to write across the disciplines: Peer-to-peer writing in introductory-level MOOCs

2014 ◽  
Vol 15 (5) ◽  
Author(s):  
Denise K. Comer ◽  
Charlotte R. Clark ◽  
Dorian A. Canelas
Keyword(s):  
Online Courses ◽  
Peer Interactions ◽  
Peer Assessment ◽  
Peer To Peer ◽  
Writing To Learn ◽  
Massive Open Online Courses ◽  
Pedagogical Practice ◽  
Written Form ◽  
Composition I ◽  
English Composition I

<p>This study aimed to evaluate how peer-to-peer interactions through writing impact student learning in introductory-level massive open online courses (MOOCs) across disciplines. This article presents the results of a qualitative coding analysis of peer-to-peer interactions in two introductory level MOOCs: English Composition I: Achieving Expertise and Introduction to Chemistry. Results indicate that peer-to-peer interactions in writing through the forums and through peer assessment enhance learner understanding, link to course learning objectives, and generally contribute positively to the learning environment. Moreover, because forum interactions and peer review occur in written form, our research contributes to open distance learning (ODL) scholarship by highlighting the importance of writing to learn as a significant pedagogical practice that should be encouraged more in MOOCs across disciplines.</p>

Intelligent system of English composition scoring model based on improved machine learning algorithm

2020 ◽  
pp. 1-11
Author(s):  
Jie Liu ◽  
Lin Lin ◽  
Xiufang Liang
Keyword(s):  
Machine Learning ◽  
Evaluation System ◽  
Intelligent System ◽  
Learning Algorithm ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Assessment System ◽  
English Composition ◽  
Region Extraction ◽  
Constraint Model

The online English teaching system has certain requirements for the intelligent scoring system, and the most difficult stage of intelligent scoring in the English test is to score the English composition through the intelligent model. In order to improve the intelligence of English composition scoring, based on machine learning algorithms, this study combines intelligent image recognition technology to improve machine learning algorithms, and proposes an improved MSER-based character candidate region extraction algorithm and a convolutional neural network-based pseudo-character region filtering algorithm. In addition, in order to verify whether the algorithm model proposed in this paper meets the requirements of the group text, that is, to verify the feasibility of the algorithm, the performance of the model proposed in this study is analyzed through design experiments. Moreover, the basic conditions for composition scoring are input into the model as a constraint model. The research results show that the algorithm proposed in this paper has a certain practical effect, and it can be applied to the English assessment system and the online assessment system of the homework evaluation system algorithm system.

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