scholarly journals Online Programming Language Learning Using Massive Open Online Courses in Saudi Universities

2021 ◽  
Vol 9 (2) ◽  
pp. 116-131
Keyword(s):  
Saudi Arabia ◽  
Language Learning ◽  
Computer Science ◽  
Programming Languages ◽  
Quantitative Research ◽  
Online Courses ◽  
Massive Open Online Courses ◽  
Future Research ◽  
Research Approach ◽  
Massive Open Online

Severalstudies stated that Computer Science (CS) students at Saudi Arabia universities face difficulties in programming languages learning (PLL) and need more assistance. Fortunately, Massive Open Online Courses (MOOCs) have been recognized as modern meansthat could be acceptable amongst CS learners. This piece of research aims to clarify the importance of enhancing PLL via MOOCs in Saudi Arabia. This research applied a quantitative research approach that utilized questionnaire as a research instrument. The survey was distributed among CS students to illustrate the current situation of the students’ need and acceptance of MOOCs on PLL. The investigation included 132 participants from different departments in the faulty of Computer Science (CS) at Umm Alqura University and Taif University in Saudi Arabia. The questionnaire results show that 98% believe that they need additional courses in PLL and 94% are accepting the idea of utilizing MOOCs on PLL, on the other hand, the results also show that 77% of the participants have not attended a single PLL course via MOOC. Other results and future research are discussed as wel

scholarly journals Recommender Systems for MOOCs: A Systematic Literature Survey (January 1, 2012 – July 12, 2019)

2020 ◽  
Vol 21 (4) ◽  
pp. 255-291
Author(s):  
Asra Khalid ◽  
Karsten Lundqvist ◽  
Anne Yates
Keyword(s):  
Quantitative Analysis ◽  
Literature Review ◽  
Student Performance ◽  
Recommender Systems ◽  
Online Courses ◽  
Systems Design ◽  
Literature Survey ◽  
Massive Open Online Courses ◽  
Future Research ◽  
Massive Open Online

In recent years, massive open online courses (MOOCs) have gained popularity with learners and providers, and thus MOOC providers have started to further enhance the use of MOOCs through recommender systems. This paper is a systematic literature review on the use of recommender systems for MOOCs, examining works published between January 1, 2012 and July 12, 2019 and, to the best of our knowledge, it is the first of its kind. We used Google Scholar, five academic databases (IEEE, ACM, Springer, ScienceDirect, and ERIC) and a reference chaining technique for this research. Through quantitative analysis, we identified the types and trends of research carried out in this field. The research falls into three major categories: (a) the need for recommender systems, (b) proposed recommender systems, and (c) implemented recommender systems. From the literature, we found that research has been conducted in seven areas of MOOCs: courses, threads, peers, learning elements, MOOC provider/teacher recommender, student performance recommender, and others. To date, the research has mostly focused on the implementation of recommender systems, particularly course recommender systems. Areas for future research and implementation include design of practical and scalable online recommender systems, design of a recommender system for MOOC provider and teacher, and usefulness of recommender systems.  

A Comparative Study on Various Vocabulary Knowledge Scales for Predicting Vocabulary Pre-Knowledge

2017 ◽  
Vol 15 (1) ◽  
pp. 69-81 ◽  
Author(s):  
Di Zou ◽  
Haoran Xie ◽  
Yanghui Rao ◽  
Tak-Lam Wong ◽  
Fu Lee Wang ◽  
...  
Keyword(s):  
Language Learning ◽  
Online Courses ◽  
Vocabulary Knowledge ◽  
Massive Open Online Courses ◽  
Learning Resources ◽  
Massive Open Online ◽  
The World ◽  
History Of ◽  
E Learning ◽  
Knowledge Levels

The world has encountered and witnessed the great popularity of various emerging e-learning resources such as massive open online courses (MOOCs), textbooks and videos with the development of the big data era. It is critical to understand the characteristics of users to assist them to find desired and relevant learning resources in such a large volume of resources. For example, understanding the pre-knowledge on vocabulary of learners is very prominent and useful for language learning systems. The language learning effectiveness can be significantly improved if the pre-knowledge levels of learners on vocabulary can be accurately predicted. In this research, the authors model the vocabulary of learners by extracting their history of learning documents and identify the suitable vocabulary knowledge scales (VKS) for pre-knowledge prediction. The experimental results on real participants verify that the optimal VKS and the proposed predicting model are powerful and effective.

Opinion of Computer Science Instructors and Students on MOOCs in an Indian University

2018 ◽  
Vol 47 (2) ◽  
pp. 205-212 ◽  
Author(s):  
Pushp Sra ◽  
Pinaki Chakraborty
Keyword(s):  
Artificial Intelligence ◽  
Computer Science ◽  
Undergraduate Students ◽  
Online Courses ◽  
Massive Open Online Courses ◽  
Computer Networking ◽  
Classroom Teaching ◽  
Massive Open Online ◽  
Effective Form ◽  
Science Instructors

Massive open online courses (MOOCs) have lately emerged as an effective form of distance education. Computer science is one of those disciplines in which MOOCs are quite common. We conducted a survey to know the opinion of computer science instructors and undergraduate students on MOOCs in an Indian university in March 2018. Of the 26 instructors and 273 students who participated, 73% instructors and 87% students reported to have attended MOOCs. We found that 50% instructors and 72% students considered MOOCs to be a more comprehensive source of knowledge and 54% instructors and 76% students felt that MOOCs let students learn faster when compared to courses taught in a classroom. Moreover, 58% instructors believed that the courses they teach in classrooms can also be taught effectively through MOOCs. The instructors and students appreciated several aspects of MOOCs. However, the students had an opinion that MOOCs can augment classroom teaching but cannot replace it. MOOCs on computer programming (22%), artificial intelligence (9%), and computer networking (8%) were found to be particularly popular among the students.

A Systematic Mapping on the Learning Analytics Field and Its Analysis in the Massive Open Online Courses Context

2015 ◽  
Vol 13 (3) ◽  
pp. 1-24 ◽  
Author(s):  
Barbara Moissa ◽  
Isabela Gasparini ◽  
Avanilde Kemczinski
Keyword(s):  
Learning Analytics ◽  
Online Courses ◽  
Massive Open Online Courses ◽  
Future Research ◽  
Systematic Mapping Study ◽  
Mapping Study ◽  
Data Types ◽  
Massive Open Online ◽  
Systematic Mapping ◽  
Dynamical Processes

Learning Analytics (LA) is a field that aims to optimize learning through the study of dynamical processes occurring in the students' context. It covers the measurement, collection, analysis and reporting of data about students and their contexts. This study aims at surveying existing research on LA to identify approaches, topics, and needs for future research. A systematic mapping study is launched to find as much literature as possible. The 127 papers found (resulting in 116 works) are classified with respect to goals, data types, techniques, stakeholders and interventions. Despite the increasing interest in field, there are no studies relating it to the Massive Open Online Courses (MOOCs) context. The goal of this paper is twofold, first we present the systematic mapping on LA and after we analyze its findings in the MOOCs context. As results we provide an overview of LA and identify perspectives and challenges in the MOOCs context.

scholarly journals Malaysian Learners’ Preferences-Based Profile Model Towards Adaptive Massive Open Online Courses

2020 ◽  
Vol 55 (1) ◽  
Author(s):  
Mohammed A. Gharawi ◽  
Azman Bidin ◽  
Koo Ah Choo
Keyword(s):  
Online Education ◽  
Learning Style ◽  
Quantitative Research ◽  
Online Courses ◽  
Massive Open Online Courses ◽  
Online Course ◽  
Massive Open Online ◽  
Quantitative Research Methods ◽  
Non Profit ◽  
Massive Open Online Course

Massive open online courses’ technology is becoming the most recent innovations in online education and academia. Recently, it has been widely adopted in educational sectors and gained popularity among both students and instructors. Massive open online courses have rapidly become a trend in the field of higher education and received much recognition from scholars and non-profit educational organizations. Therefore, there has been a growing interest in investigating its limitations, challenges, and impact on education. Some issues and problems have been reported in the research and practice, such as problems related to massive open online course learners’ motivation and engagement during the courses, and course contents’ presentations have a significant impact on learner’s motivation. However, there have been few contributions to the literature in discerning the varying motivational drivers for choosing to consume the different presentation styles of massive open online courses. Therefore, the main goal of this work is to propose an innovative framework for adaptive massive open online course based on learners’ preferences. As such, the courses’ presentations are adapted to the preferred learning style of each learner. In this regard, this paper was conducted based on quantitative research methods.

scholarly journals LMOOC para la integración de personas desplazadas

2021 ◽  
pp. 463-477
Author(s):  
Mercedes Sanz Gil
Keyword(s):  
Foreign Language ◽  
Language Learning ◽  
Information And Communication Technologies ◽  
Online Courses ◽  
Foreign Language Learning ◽  
Massive Open Online Courses ◽  
Cultural Barriers ◽  
Massive Open Online ◽  
Language And Culture ◽  
Displaced People

Uno de los principales retos a los que se enfrentan las personas desplazadas es hacer frente a las barreras lingüísticas y culturales que supone el desconocimiento, en la mayoría de los casos, de la lengua y de la cultura del país de destino. Actualmente, y gracias a las Tecnologías de la Información y la Comunicación, existen numerosos recursos y aplicaciones que pueden ayudar a paliar dichas carencias, antes o durante el periodo en el que se desarrolla la movilidad. En este artículo presentamos algunos de ellos. En concreto nos centramos en el formato MOOC (Cursos masivos abiertos en línea, por sus siglas en inglés) para el aprendizaje de lenguas extranjeras (LMOOC). Analizaremos dos LMOOC de aprendizaje del Español como Lengua Extranjera (ELE) destinado principalmente al colectivo de personas inmigrantes y refugiadas y tres de aprendizaje del Francés como Lengua Extranjera (FLE) destinado principalmente a personas desplazadas por motivos laborales o educativos. One of the main challenges faced by displaced people is dealing with the linguistic and cultural barriers that arise from the lack of knowledge, in most cases, of the language and culture of the destination country. At present, thanks to Information and Communication Technologies (ICTs), there are numerous resources and applications that can help to alleviate these deficiencies, before, or during the period in which mobility develops. In this article we present some of them. More specifically, this article focuses on the MOOC (Massive Open Online Courses) format for foreign language learning (LMOOC). We will analyze two LMOOCs for learning Spanish as a Foreign Language (SFL) aimed mainly at migrants and refugees; and three for learning French as a Foreign Language (FFL) aimed mainly at people displaced for work or educational reasons. L'un des principaux défis auxquels les personnes déplacées sont confrontées est celui de faire face aux barrières linguistiques et culturelles qui découlent du manque de connaissance, dans la plupart des cas, de la langue et de la culture du pays de destination. De nos jours, et grâce aux Technologies de l'Information et de la Communication (TIC), il existe de nombreuses ressources et applications qui peuvent contribuer à pallier ces lacunes, avant, ou pendant la période de mobilité. Dans cet article, nous en présentons quelques-unes. Nous nous concentrons en particulier sur le format MOOC (Massive Open Online Courses) pour l'apprentissage des langues étrangères (LMOOC). Nous analyserons deux LMOOC pour l'apprentissage de l'Espagnol comme Langue Étrangère (ELE) destinés principalement à des personnes migrantes et réfugiées et trois pour l'apprentissage du Français comme Langue Étrangère (FLE) destinés principalement aux personnes en déplacement pour des raisons professionnelles ou éducatives.

scholarly journals The Changes in Massive Open Online Courses (MOOCs) Studies between 2012 and 2017- A Review of Literature

2018 ◽  
Vol 8 (4) ◽  
pp. 59
Author(s):  
Abdulaziz Alzahrani
Keyword(s):  
Mixed Method ◽  
Research Method ◽  
Qualitative Method ◽  
Quantitative Method ◽  
Online Courses ◽  
Massive Open Online Courses ◽  
Future Research ◽  
Review Of Literature ◽  
Massive Open Online ◽  
Scientific Databases

In recent decades, the use of Massive Open Online Courses (MOOCs) has changed according to the different goalsand studies that have been applied. Therefore, it is very important to explore and examine these changes and identifythe development of use and conception of MOOCs. This research is considered empirical in nature and focuses onstudies published between 2012 and 2017. The current study is conducted on three scientific databases to collectthose studies that matched the research method and achieved its goal. Nine hundred seventy-nine studies wereconsidered, and 37 studies have been selected for this study and will be analyzed based on study design and othervariables. The collected studies utilized the qualitative method, quantitative method, and mixed-method approaches.These studies were analyzed through the use of MOOCs according to students’ views, instructors’ views, andstudents’ and instructors’ views. The results showed a different understanding of MOOCs between the students’views, instructors’ views, and students’ and instructors’ views. Recommendations and future research opportunitiesare also discussed.

The Structural and Dialogic Aspects of Language Massive Open Online Courses (LMOOCs)

2016 ◽  
pp. 10-32 ◽  
Author(s):  
Carolin Fuchs
Keyword(s):  
Language Learning ◽  
Student Teachers ◽  
Online Courses ◽  
Massive Open Online Courses ◽  
Massive Open Online ◽  
Teacher Instruction ◽  
Online Language Learning ◽  
Learner’S Perspective ◽  
Structural Aspects

This case study contributes to the growing body of research on Language Massive Open Online Courses (LMOOCs) by examining their structural aspects (i.e., layout and format) and dialogic nature (i.e., interaction and negotiation) from the language learner's perspective. This exploratory study draws on data from 15 student teachers of English as a Second/Foreign Language at a private graduate institution on the East Coast of the U.S. As required by their technology elective, participants who were enrolled in a beginner-level LMOOC of their choice kept a log of their learning process/progress over a period of eight weeks. At the end of the course, they were invited to fill out a post-project questionnaire to reflect on their overall experience. The goal of the project was to educate student teachers on the pedagogical underpinnings of LMOOCs while exposing them to online language learning. In this study, the focus was primarily on self-reported system interaction and profile data since the Author was not involved in the design of any of the LMOOCs. Data collection instruments included a needs analysis, weekly LMOOC logs, and a post-LMOOC questionnaire. According to the questionnaire results, student-teachers' motivation was “satisfactory,” and only four out of 15 student teachers completed their LMOOCs. Results further showed that structural aspects (i.e., content, materials, and procedures) rank higher than dialogic aspects (i.e., scaffolding and feedback). This questions the over-reliance on content transmission and instructivist (or teacher-instruction) approaches in LMOOCs, especially since MOOCs enrolment numbers rely heavily on learner's self-motivation to sign up and complete a course.

Exploring Future Seamless Learning Research Strands for Massive Open Online Courses

2015 ◽  
pp. 2126-2140
Author(s):  
Inge de Waard ◽  
Nilgun Ozdamar Keskin ◽  
Apostolos Koutropoulos
Keyword(s):  
Adult Learners ◽  
Online Courses ◽  
Massive Open Online Courses ◽  
Future Research ◽  
Learning Collaborative ◽  
Massive Open Online ◽  
Self Directed Learning ◽  
Body Of Knowledge ◽  
Seamless Learning ◽  
Directed Learning

This chapter reviews the concept of seamless learning for Massive Open Online Courses (MOOC) based on the distillation of key factors from papers discussing and describing the Mobile Seamless Learning (MSL) concept. The MSL concept was used as a starting point to explore how MOOC could be prepared for seamless learning and to explore future research options. There is a vast area of research to be explored related to seamless learning in MOOC. The authors belief that some of the challenges faced by MOOC, such as “dropout” rates, redefining learning activities to fit diversity of contexts, self-directed learning, collaborative content artifact creation, the mobility of the adult learners, and the “dip-in, jump-out” aspect of participation, can be countered by researching and suggesting seamless learning designs and guidelines that fit both the adult learners and the MOOC realities. Investigating all the elements, challenges and benefits for providing seamless learning in MOOC environments will contribute to the body of knowledge of contemporary online learning.

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