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CROWDSOURCING SOLUTIONS FOR SUPPORTING COLLABORATIVE LEARNING: A CASE OF UNDERGRADUATE MANAGEMENT STUDENTS
Jerzy Kukuczka Physical Education Academy in Katowice (POLAND)
About this paper:
Appears in: EDULEARN19 Proceedings
Publication year: 2019
Pages: 6192-6199
ISBN: 978-84-09-12031-4
ISSN: 2340-1117
doi: 10.21125/edulearn.2019.1489
Conference name: 11th International Conference on Education and New Learning Technologies
Dates: 1-3 July, 2019
Location: Palma, Spain
Abstract:
Collaborative learning processes in workshops often involve substantial collaboration among students. However, considerable information resource capacity exists on the Internet in journal articles, published literature, published reports, expert communities, or internet forums—referred to as crowds. Effectively using crowd resources to support collaborative learning is an interesting and challenging topic. This paper defines the collaborative learning problem in a crowd environment as a “workshop - assignment problem”. This study uses a greedy approach with four heuristic strategies to solve the problem. This is called the crowdsourcing-based collaborative learning approach. This approach includes two phases, clarifying the problem phase and collaborative learning phase. The clarifying the problem phase transforms the original problem into a TASK problem. The collaborative learning phase solves the TASK using heuristic strategies. A prototype system, called the Collaborative Learning System (CLS), is also implemented. The experiment results show that the proposed heuristic algorithms produce good quality approximate solutions in an acceptable timeframe.

The aim of the study is to check and evaluate student behaviour while selecting sources of information during Collaborative learning processes in workshops. The study group will be students of the first and second degree of the University of Physical Education in Katowice (n = 100)

The research hypothesis established at the beginning of the research is as follows:
Students are chaotically looking for information, not confirming their source, which affects the incomplete selection of poor quality information.

STAGE I - analysis of habits during the work of group students. During this stage, we analyze and evaluate the habits of searching for sources of knowledge by students on the Internet.
Students will have to assess individual features that accompany them when selecting data sources during Collaborative learning processes in workshops:
• Time to search for information
• Quality of source selection
• The convenience of the method used
• Relevance of received responses
• Reliability of the data received

After the first stage of the research, training will be carried out during which students will acquire information necessary for correct selection of information sources during Collaborative learning processes in workshops. This study uses a greedy approach to solve the problem. Students will be familiarized with this methodology.

STAGE II - analysis and evaluation of the selection of sources after the training. During the survey respondents will be asked, among other things, to evaluate:
• Time of source selection done in accordance with the new rules
• Quality of source selection
• The convenience of the methods used
• Relevance of received responses
• Reliability of the data received
• Heuristic techniques used
Keywords:
Croudsourcing, collaborative learning, Heuristic techniques, Information and Communication Technology.