Review Article
Julia A. Krokhina, Irina I. Kruse, Elmira R. Khairullina, Gasangusein Ibragimov, Lyubov V. Kochneva, Olga V. Pashanova
CONT ED TECHNOLOGY, Volume 16, Issue 4, Article No: ep542
ABSTRACT
Mobile learning presents many benefits to lecturers, students, and universities. It provides the opportunity for all to access information anytime and anywhere and also promotes learning autonomy and mobility. This paper aims to systematically analyze publications on mobile learning in higher education conducted over twenty years by providing knowledge to help researchers in this area. The data were obtained from the Scopus database. A total of 587 peer-reviewed publications were analyzed. The results show that the number of articles increased significantly after 2016, and there was an upward trend after 2018. Our results regarding prolific journals show that many articles in this field were published in several prominent journals. Our results revealed that 91 countries contributed to research worldwide, and the most productive institutions are from different continents. In addition, results indicated that recently published countries on the topic are India, Saudi Arabia, Thailand, Indonesia, and Germany. Regarding research trends, our results yielded three research clusters. The first cluster focused on building a learning environment for students, while the second cluster included research on mobile learning in medical education. In addition, the third cluster investigated young adults’ use and perceptions of mobile phones in learning through surveys and questionnaires. Moreover, the results we obtained demonstrated that recent studies also focused on academic performance and augmented reality was a trending topic before academic performance.
Keywords: mobile learning adoption, mobile learning, higher education, m-learning, research trends
Research Article
Ulas Ilic, Halil Ibrahim Haseski, Ufuk Tugtekin
CONT ED TECHNOLOGY, Volume 9, Issue 2, pp. 131-153
ABSTRACT
The current study aimed to review studies on computational thinking (CT) indexed in Web of Science (WOS) and ERIC databases. A thorough search in electronic databases revealed 96 studies on computational thinking which were published between 2006 and 2016. Studies were exposed to a quantitative content analysis through using an article control form developed by the researchers. Studies were summarized under several themes including the research purpose, design, methodology, sampling characteristics, data analysis, and main findings. The findings were reported using descriptive statistics to see the trends. It was observed that there was an increase in the number of CT studies in recent years, and these were mainly conducted in the field of computer sciences. In addition, CT studies were mostly published in journals in the field of Education and Instructional Technologies. Theoretical paradigm and literature review design were preferred more in previous studies. The most commonly used sampling method was the purposive sampling. It was also revealed that samples of previous CT studies were generally pre-college students. Written data collection tools and quantitative analysis were mostly used in reviewed papers. Findings mainly focused on CT skills. Based on current findings, recommendations and implications for further researches were provided.
Keywords: Computational thinking, Research trends, Content analysis, Problem solving