scholarly journals Exploring the Relationship between Emergent Sociocognitive Roles, Collaborative Problem- Solving Skills and Outcomes: A Group Communication Analysis

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Nia Dowell ◽  
Yiwen Lin ◽  
Andrew Godfrey ◽  
Christopher Brooks
Keyword(s):  
Problem Solving ◽  
Group Communication ◽  
Educational Practice ◽  
Collaborative Problem Solving ◽  
Future Research ◽  
Communication Analysis ◽  
Problem Solving Skills ◽  
Collaborative Problem ◽  
Team Interactions ◽  
The Relationship

Collaborative problem-solving (CPS) has become an essential component of today’s knowledge-based, innovation- centred economy and society. As such, communication and CPS are now considered critical 21st century skills and incorporated into educational practice, policy, and research. Despite general agreement that these are important skills, there is less agreement on how to capture sociocognitive processes automatically during team interactions to gain a better understanding of their relationship with CPS outcomes. The availability of naturally occurring educational discourse data within online CPS platforms presents a golden opportunity to advance understanding about online learner sociocognitive roles and ecologies. In this paper, we explore the relationship between emergent sociocognitive roles, collaborative problem-solving skills, and outcomes. Group Communication Analysis (GCA) — a computational linguistic framework for analyzing the sequential interactions of online team communication — was applied to a large CPS dataset in the domain of science (participant N = 967; team N = 480). The ETS Collaborative Science Assessment Prototype (ECSAP) was used to measure learners’ CPS skills, and CPS outcomes. Cluster analyses and linear mixed-effects modelling were used to detect learner roles, and assess the relationship between those roles on CPS skills and outcomes. Implications for future research and practice are discussed regarding sociocognitive roles and collaborative problem-solving skills.

scholarly journals Online and other ICT-based Assessment Tools for Problem-solving Skills

2016 ◽  
Vol 11 (04) ◽  
pp. 56 ◽  
Author(s):  
Athanasios Drigas ◽  
Maria Karyotaki
Keyword(s):  
Problem Solving ◽  
Cognitive Skills ◽  
Large Scale ◽  
Thinking Skills ◽  
Assessment Tools ◽  
Collaborative Problem Solving ◽  
Future Research ◽  
Problem Solving Skills ◽  
Collaborative Problem ◽  
Group Members

Problem-solving skills assessment starts with the imperative that the hypothesized construct of skills, is theoretically sound. Secondly, assessment refers to identifying and recording inductive and deductive types of reasoning as well as divergent and convergent thinking skills. The aforementioned procedures should be measured, independent of specific learning domains or knowledge backgrounds. Future research should be oriented towards the development of a prototype set of tasks that would embed problem-solving skills in different content and context areas and that would act as a model for implementation in online large-scale assessments. Furthermore, the classroom provides an environment amenable to collaborative problem solving, in which capturing the progress of students’ both social and cognitive processes through identifying the exchange of implicit and explicit types of information, remains to be sufficiently addressed. Effective collaborative problem-solving assessment is related to well-defined, real-world problems as well as to the provision of respective scaffolds to group members for developing their cognitive and meta-cognitive skills. In other words, effective collaborative problem-solving assessment should bring about and measure group members’ cognitive and meta-cognitive skills, evolving from the social regulation of processes, such as goal setting, connecting information and patterns as well as testing hypotheses.

Computer Agent Technologies in Collaborative Assessments

2016 ◽  
pp. 319-343 ◽  
Author(s):  
Yigal Rosen ◽  
Maryam Mosharraf
Keyword(s):  
Problem Solving ◽  
Large Scale ◽  
Collaborative Problem Solving ◽  
Future Research ◽  
Educational Systems ◽  
Virtual Agents ◽  
Daily Lives ◽  
Large Scale Assessment ◽  
Collaborative Problem ◽  
Scalable Learning

Often in our daily lives we learn and work in groups. In recognition of the importance of collaborative and problem solving skills, educators are realizing the need for effective and scalable learning and assessment solutions to promote the skillset in educational systems. In the settings of a comprehensive collaborative problem solving assessment, each student should be matched with various types of group members and must apply the skills in varied contexts and tasks. One solution to these assessment demands is to use computer-based (virtual) agents to serve as the collaborators in the interactions with students. The chapter presents the premises and challenges in the use of computer agents in the assessment of collaborative problem solving. Directions for future research are discussed in terms of their implications to large-scale assessment programs.

scholarly journals PENGEMBANGAN LEMBAR KERJA MAHASISWA BERBASIS PEMECAHAN MASALAH KOLABORATIF BERBANTUAN SIMULASI INTERAKTIF PADA MATERI TERMODINAMIKA

2019 ◽  
Vol 3 ◽  
pp. 47
Author(s):  
Arini Rosa Sinensis ◽  
Harry Firman ◽  
Ida Hamidah ◽  
Muslim Muslim
Keyword(s):  
Problem Solving ◽  
Collaborative Problem Solving ◽  
Development Research ◽  
Research Subjects ◽  
Design And Development ◽  
Problem Solving Skills ◽  
Design And Development Research ◽  
Collaborative Problem ◽  
Data Collection Technique ◽  
Is Design

<p class="AbstractEnglish"><strong>Abstract:</strong>. This study aims to develop student worksheets (LKM) based on collaborative problem solving, LKM developed with the help of interactive simulations. The research method used is design and development research (DDR). The data collection technique uses a questionnaire to assess the readability and component of collaborative problem solving in the LKM developed. The research subjects were 9 7th semester students who had taken the thermodynamics course. The results showed that the readability component reached 85.7% with very good categories while the collaborative problem solving component reached 80% with good categories. Therefore, the  LKM used can be used as a media to facilitate and direct students to improve problem solving skills.</p><p class="KeywordsEngish"><strong>Abstrak: </strong>Penelitian ini bertujuan untuk mengembangkan Lembar kerja mahasiswa (LKM) berbasis pemecahan masalah kolaboratif, LKM yang dikembangkan berbantuan simulasi interaktif. Metode penelitian yang digunakan adalah <em>design and development research</em> (DDR). Teknik pengumpulan data menggunakan angket untuk menilai keterbacaan dan komponen pemecahan masalah kolaboratif pada LKM yang dikembangkan. Subjek penelitian adalah 9 mahasiswa semester 7 yang telah menempuh matak uliah termodinamika. Hasil penelitian menunjukkan bahwa komponene keterbacaan mencapai 85,7 % dengan katergori sangat baik sedangkan komponen pemecahan masalah kolaboratif mencapai 80% dengan kategori baik. Oleh karena itu, LKM yang digunakan dapat digunakan sebagai media untuk memfasilitasi dan mengarahkan mahasiswa untuk meningkatkan kemampuan pemecahan masalah.</p>

scholarly journals RELATIONSHIP BETWEEN STATISTICAL LITERACY AND MATHEMATICAL REPRESENTATION OF STUDENTS THROUGH COLLABORATIVE PROBLEM SOLVING MODEL

2020 ◽  
Vol 9 (2) ◽  
pp. 183
Author(s):  
Johannis Takaria ◽  
Wahyudin Wahyudin ◽  
Jozua Sabandar ◽  
Jarnawi Afgani Dahlan
Keyword(s):  
Elementary School ◽  
Problem Solving ◽  
School Teacher ◽  
Learning Model ◽  
Collaborative Problem Solving ◽  
Mathematical Representation ◽  
Statistical Literacy ◽  
Study Program ◽  
Collaborative Problem ◽  
The Relationship

The purpose of this study was to find out the relationship between statistical literacy and mathematical representation of students as pre-service elementary school teachers through the Collaborative Problem Solving (CPS) model. The relationship between statistical literacy and mathematical representation was analyzed by using a product-moment correlation with a sample of 35 students of Elementary School Teacher Education Study Program at one of the state universities in Ambon City. The results showed that there was a positive and strong relationship between statistical literacy and mathematical representation with a correlation value of 0.66. This relationship means that if students have good mathematical representation abilities, statistical literacy abilities are also getting better. Exploration of statistical literacy and mathematical representation abilities can be facilitated by using The CPS learning model. The CPS learning model can facilitate student learning as a structure in mathematical thinking so that statistical literacy and mathematical representation abilities of students can be explored through the transformation of ideas among students. The CPS learning model aspects were implemented in high and very high categories while the indicators were at rating-2 and rating-3.

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