Effective Online Tools for Teaching Java Programming Course on an Online Platform

Author(s):  
Sapana S. Barphe ◽  
Varsha T. Lokare ◽  
Sanjay R. Sutar ◽  
Arvind W. Kiwelekar
2008 ◽  
Vol 11 (2) ◽  
pp. 76-82 ◽  
Author(s):  
Sarah M. Ginsberg

Abstract This qualitative study examined student perceptions regarding a hybrid classroom format in which part of their learning took place in a traditional classroom and part of their learning occurred in an online platform. Pre-course and post-course anonymous essays suggest that students may be open to learning in this context; however, they have specific concerns as well. Students raised issues regarding faculty communication patterns, learning styles, and the value of clear connections between online and traditional learning experiences. Student concerns and feedback need to be addressed through the course design and by the instructor in order for them to have a positive learning experience in a hybrid format course.


2020 ◽  
Vol 11 (SPL1) ◽  
pp. 475-481
Author(s):  
Jotheeswari P ◽  
Yuvaraj M ◽  
Balaji K ◽  
Gunapriya Raghunath ◽  
Kumaresan M

COVID-19 is a current sensational and dangerous threat that affects millions of people across the world. As the day progresses the rate of growth of COVID-19 drastically increases. No vaccine or specific antiviral drug are active against corona, therefore, preventing the exposure to the virus is the base of support against its spread across the world. Despite the implementation of preventive measures, the rate of virus-infected cases progressively increases which stimulates our thought process to raise a question, whether the preventive measures that we follow are effective against the spread of COVID-19 infection. Evidence from previous literature obtained from various online tools implies multiple preventive measures that should be followed and also illustrates their mechanism of action against the active spread of COVID-19 infection. According to the results from the evidence, we can identify the gold standard preventive measure among the described preventive measures. The precautionary measure encompasses both pharmaceutical interventions and non- pharmaceutical interventions among which non-pharmaceutical measures are superior in the prevention of the developing pandemic. Among the non-pharmaceutical interventions, social distancing is the paramount to other measures in the mitigation of the spread of viral infection.


10.28945/4246 ◽  
2019 ◽  

[This Proceedings paper was revised and published in the 2019 issue of the Journal of Information Technology Education: Innovations in Practice, Volume 18.] Aim/Purpose: The study examined types of errors made by novice programmers in different Java concepts with students of different ability levels in programming as well as the perceived causes of such errors. Background: To improve code writing and debugging skills, efforts have been made to taxonomize programming errors and their causes. However, most of the studies employed omnibus approaches, i.e. without consideration of different programing concepts and ability levels of the trainee programmers. Such concepts and ability specific errors identification and classifications are needed to advance appropriate intervention strategy. Methodology: A sequential exploratory mixed method design was adopted. The sample was an intact class of 124 Computer Science and Engineering undergraduate students grouped into three achievement levels based on first semester performance in a Java programming course. The submitted codes in the course of second semester exercises were analyzed for possible errors, categorized and grouped across achievement level. The resulting data were analyzed using descriptive statistics as well as Pearson product correlation coefficient. Qualitative analyses through interviews and focused group discussion (FGD) were also employed to identify reasons for the committed errors. Contribution:The study provides a useful concept-based and achievement level specific error log for the teaching of Java programming for beginners. Findings: The results identified 598 errors with Missing symbols (33%) and Invalid symbols (12%) constituting the highest and least committed errors respec-tively. Method and Classes concept houses the highest number of errors (36%) followed by Other Object Concepts (34%), Decision Making (29%), and Looping (10%). Similar error types were found across ability levels. A significant relationship was found between missing symbols and each of Invalid symbols and Inappropriate Naming. Errors made in Methods and Classes were also found to significantly predict that of Other Object concepts. Recommendations for Practitioners: To promote better classroom practice in the teaching of Java programming, findings for the study suggests instructions to students should be based on achievement level. In addition to this, learning Java programming should be done with an unintelligent editor. Recommendations for Researchers: Research could examine logic or semantic errors among novice programmers as the errors analyzed in this study focus mainly on syntactic ones. Impact on Society: The digital age is code-driven, thus error analysis in programming instruction will enhance programming ability, which will ultimately transform novice programmers into experts, particularly in developing countries where most of the software in use is imported. Future Research: Researchers could look beyond novice or beginner programmers as codes written by intermediate or even advanced programmers are still not often completely error free.


2020 ◽  
Vol 26 (1) ◽  
pp. 46-54
Author(s):  
N. S. Alekseeva ◽  
A. E. Druzhinin

Examination of the real estate market shows that implementing innovations in this field is a very difficult task. This prompts the question of the necessity of digitalizing the real estate business and of the demand for online integration platforms in this field.Aim. The presented study aims to assess the demand for online integration platforms in the real estate business.Tasks. The authors compare the online integration platforms in the real estate market with the online integration platforms in the hospitality sector and the individual passenger transport market in terms of the share of user profits that integrators receive for their services on the online platform; compare the share of user profits that integrators receive for their services on the online platform with the equivalent indicator in various other global economic activities; assess the value of the services provided by an online integration platform using the methodology proposed by G. G. Azgaldov and N. N. Karpova.Methods. The data were acquired from public Internet sources and personal interviews with the directors of companies that represent or employ the services of online integration platforms in St. Petersburg. The interviews and work with Internet sources were conducted in November 2019.Results. An integrator in the real estate market receives a share of profits of their service users that is comparable to that of the integrators in the hospitality sector and the individual passenger transport market. The share of profits of a Russian integrator in the real estate market is significantly higher than that in such industries as entertainment, fashion, or sports. The value of an online integration platform can be defined as highly valuable, since the expected value of this indicator is 1.5 times higher than the maximum table value.Conclusions. The performed analysis shows a high demand for online integration platforms in the real estate business. Market participants are willing to pay for the ability to use new digital technologies.


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