Systematic quantitative literature review on Support for learning using open sources

The steps for systematic quantities literature review paper for find the gap knowledge and publish paper
1- Need to defining ((the research questions for this paper)) in the area we are trying to look at specific support for software engineering learner who are using open source
And after we collect data to find the gap of the research questions to next work (future work)
Steps 1 in detail: formulate research questions: at the tables (use excels for the all bellow)
1- When & who has done research
2- Geographical speared of the research
3- Type of the methods used
4- Type at subjects examined
5- Type of variables measured
6- Different disciplines assessing the topic
7- Patterns found in the results

Key words for search for example regarding for open sources (open sources, open sources education, open sources challenges, OS benefit, Open source educational resources) Open Source Resources in Education: Opportunities and Challenges, Open-source learning platform, Open Source Tools for Education: online learner needs, requirements, tools used, learner motivation, regarding for learner (new comers, mentor, expert, online learner, online student, online community/ communities, online learning) for support (online support, support kinds, learner support needs, support tools, support platform, community forums as stack overflow, Joomla, github, Gitlab, PHP-Nuke, zikula, SharePoint community portal, Lithium, DotnetNuke, community server, Mambo, onesite, lotus sameTime and lotus connections, boonEx, Crowdvine, socialGo and others) also for community tools that available you can search), support learner platform, learner support platform
Need to identify relevant literature but not lots and lots irrelevant literature, you may must use synonyms
2- what are the database you will search here are the most important database and you have to search in them and others if you have as (web of science, google scholar, IEEE, science direct, Scopus, ProQuest, web of knowledge, sage) and My university library I will gave you the resource to add when we decide the exactly keyword for search?
3- Then decide what is the criteria inclusions the paper and non-inclusion: here you need to read and assess for each publication have to ask ( is it relevant?, look at the abstract some and whole paper for others, need to have clear criteria for inclusion- reproducibility? Original research papers only? May want to limit to certain types of research, you also have to use references list for each papers that because the Previously paper not electronic.
4- Creating your own review database: structure data look at the categories and subcategories: you have to use excel for all of those information above:
Categories about the papers: full references as who does research, where, using what method, what response variables, what the subjects, what statistics (if used), what found? “In the excel file”

Categorise about geographic location of research: city, stat, country, continent, climatic zone, general habitat types, others

Categorise weighting method/ studies: randomized control tails (number replicates, effect size… etc.), before, after control, impact experiments, observational studies with controls, quesi-expermantal… cohort studies, case studies…

Categorise for result: studies and discussed or actually demonstrated, outcome positive, negative, neutral or mixed or other, more detail result (statistically, significant, size effect, # of replicates, power of analysis… others

Categorise for response variables: individual response (physiological or behavioural), population level response (density, abundance) reproductive response (# of chick…)

For each category you need to think carful about it and about each subcategorise from the begin and need to decide that with me before you continue work on

6. check how well do the catogise work: are they narrow or broad, do I need additional value, new subcategories, do the criterial apply to categories work in reality? reflection new saves a lots of time later

7. enter rest of papers: check with me that all database is comprehensive
, enter first 10% literatures, test and revise categories and then enter bulk of papers,

8. produce and review summary tables and where is the gaps

those 15 steps of the systematic literature review have 3 important parts
1- Get information- systematic
2- Collect database to personal data on excel and have to send all tables to me
3- Use the data to serial table and analyses then come up with the literature review to publish and show the map gap to work on it in the future.

this paper has to contain on all of those sections:
Abstract, Introduction, Methods, Results, Discussion, conclusion, and ref.
While the order to start working and written: you have to start with: Methods, then Introduction (part of aims), then Results, after that conclusion, then Discussion, back to Introduction (part rest), finally Abstract, and ref.

In the method section: need to gave detail with keyword that used, database searched, criteria for using a paper, categoses and subcategories what and why and how the value assigned, show the data analysis and issue examined.

Then from the tables need to come up with key result: think about
1- Breadth
2- Depth
3- Method
4- Main result
5- Critical gaps
6- Result need to match Research questions

Then write the aim of Research questions and paper from what actually you found not what you think to find

Result should to document quantitative:
– How many papers?
– Who published?
– Where has research been done?
– What disciplines do research on this topic?
– What methods are used?
– What is been found/ demonstrated?
– What missing gaps?
Text to highlight key result from tables

For the introduction carefully stopped out argument from the most general to the most detail— example ur aims it is about 4-5 paragraphs.
Need to be good and match what you actually did and found.

Discussion part:
– Discuss the result in relation to the literature
– For the literature review discuss the implications of what you found
– And shows the divers and future directions also discuss the limited
Note that this order need to be as drafts. You cannot submit the final document and said this the final. You have to decide with me about each steps and show me steps by steps and the tables, it need to some hard work.
If you fell yourself not like this, please don’t sign to work in this order. I do not have any choses to fail at this exam.

The references style will be as IEEE style I will uploaded one paper example.
Also to be clear all Ref. list must to cite no ref. in the ref. list with cite, please
I have to access all papers you upload and use. So if you use some resource not free kind, you have to send me those documents

I will upload for you some important resources you must include those resources with the data collect and analysis.
1. Lena Mamykina, Jill Dimond, Tomas Smyth, and Krzysztof Z. Gajos. Learning From the Crowd: Observational Learning in Crowdsourcing Communities. In Proceedings of CHI’16, 2016. To appear.

2. “A systematic literature review on the barriers faced by newcomers to open source software projects”. Information and Software Technology, V. 59, March 2015, p. 67-85.

3. “Overcoming Open Source Project Entry Barriers with a Portal for Newcomers”. ICSE 2016 (38th International Conference on Software Engineering).

4.telier: Repurposing Expert Crowdsourcing Tasks as Micro-internships

5.Learning From the Crowd: Observational Learning in Crowdsourcing Communities

6.Toward a Learning Science for Complex Crowdsourcing Tasks

7.Towards Providing On-Demand Expert Support for Software Developers

8.A Multi-institutional Study of Peer Instruction in Introductory Computing

9. Meeting Graduate Employability Needs through Open-source Collaboration with Industry

10. Supporting Learners with Distributed Mentorship Teams in Massive Online Classes

11. Motivation as a Lens to Understand Online Learners: Toward Data-Driven Design with the OLEI Scale

12. Sociotechnical Mechanism for Online Support Provision

13. Online Help-Seeking in Communities of Novice Innovators
14. The Social Side of Software Platform Ecosystems‏

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