scholarly journals Assessing Collaborative Problem Solving Competency Through Integrated Natural Science Teaching of the Topic “nonmetals” in Chemistry Grade 11

2018 ◽  
Vol 34 (3) ◽  
Author(s):  
Vu Phuong Lien
Keyword(s):  
Problem Solving ◽  
Science Teaching ◽  
Natural Science ◽  
Educational Administration ◽  
International Student ◽  
Student Assessment ◽  
Collaborative Problem Solving ◽  
International Student Assessment ◽  
Collaborative Problem ◽  
Problem Solving Competency

Study the structure of collaborative problem solving (CPS) competence through teaching of the topic “nonmetals” using integrated natural science approach, the paper proposes a topic-building process, corresponding indicators, assessment toolkit, and teaching implementation process and measures for the formation and development of students’ CPS competence. Key words Competence, collaborative problem solving competency, integrated natural science teaching, teaching properties of nonmetals References 1. Greiff, S. (2012), From interactive to collaborative problem solving: current issues in the Programme for International Student Assessment. 2. Grinffin, E. C. (2015), Assessment of Collaborative Problem Solving. 3. NESTA, Solved! Making the case for collaborative problem-solving4. Kỉ yếu hội thảo dạy học tích hợp dạy học phân hóa (2014)5. Patrick Griffin, Esther Care, 2015, Assessment and teaching of 21st Century 6. Patrick Griffin, Esther Care, 2015, Developing learners’ collaborative problem solving skills. 7. PISA 2015, Draft Collaborative Problem Solving framework, OECD Programme for International Student Assessment 2015 8. PISA 2015 Released field trial cognitive items, OECD Programme for International Student Assessment 2015 9. PISA 2018, Draft framework 10. Richard M. Fealder, Rebecca Brent, Cooperative Learning 11. Rod Ellis, The Methodology of Task-based teaching 12. Weinert, F. E. (2001), Concept of Competence: a conceptual definition. In: Rychen, D.S.; Salganik, L.H., eds. Defining and Selecting Key Competencies, p46. 13. Worf, A. (1995), Competence – Based Assessment.14. Lê Thái Hưng, Vũ Phương Liên, Nguyễn Thị Phương Vy, Assessing Collaborative Problem Solving Competency Through Integrated Theme Based Teaching Chemistry, Proceedings of the International Conference on Research of Educational Administration and Management (ICREAM 2017), October 17, 2017, Bandung, Indonesia, Taylor & Francis Group, UK.15. Trần Trunh Ninh, Vũ Phương Liên, Năng lực hợp tác giải quyết vấn đề của học sinh thông qua dạy học Hóa học THPT, Tạp chí Khoa học Giáo dục, Số 2, 02/ 2018. 16. Vũ Phương Liên, Ngô Nam Sinh, Hình thành năng lực hợp tác giải quyết vấn đề thông qua dạy học hóa học theo hình thức trải nghiệm, Tạp chí Khoa học Giáo dục, Số 146, 11/2017 17. Vũ Phương Liên, Lê Thái Hưng, Ngô Ngọc Kiên, Bước đầu triển khai dạy học tích hợp liên môn các môn khoa học tự nhiên ở trường THPT, Tạp chí Giáo dục, số 380, 4/2016

scholarly journals Factors Predicting Collaborative Problem Solving: Based on the Data From PISA 2015

2021 ◽  
Vol 6 ◽  
Author(s):  
Pan Tang ◽  
Hao Liu ◽  
Hongbo Wen
Keyword(s):  
Problem Solving ◽  
Large Scale ◽  
International Student ◽  
Student Assessment ◽  
Hierarchical Linear Model ◽  
Collaborative Problem Solving ◽  
School Level ◽  
Large Scale Assessment ◽  
International Student Assessment ◽  
Collaborative Problem

Collaborative problem solving (CPS) competency is critical in the twenty-first century. The Program for International Student Assessment (PISA) launched a large-scale assessment of CPS competency for the first time in 2015. Beijing, Shanghai, Jiangsu, and Guangdong provinces in China participated the assessment and scored an average of 496, which was slightly lower than the OECD average 500 and ranked 25th among the 51 countries and economies participating in the assessment. Therefore, this research was conducted to dig into the factors predicting students’ CPS competency, and help students improve it. Most research about CPS has fallen into the construction of the CPS framework and the effectiveness of CPS; research focusing on the factors predicting CPS competency is rare. Accordingly, a hierarchical linear model (HLM) was constructed to investigate the factors predicting students’ CPS competency in the current research. The model revealed that there was a large difference of students’ CPS competency among schools. In addition, among student-level variables, gender, grade, ESCS, ICT resources, students’ attitude toward CPS, and teacher unfairness were effective in predicting students’ CPS competency; among school-level variables, school location, schools’ ESCS and the proportion of all teachers fully certified predicted students’ CPS competency positively. The findings implied that in order to enhance students’ CPS competency, CPS competency training should be permeated through all the subjects; schools should employ teachers who are fully qualified; teachers should treat each student fairly; and students should be provided with more ICT resources and etc.

Comparative analysis of student performance in collaborative problem solving: What does it tell us?

2020 ◽  
Vol 64 (3) ◽  
pp. 282-303
Author(s):  
Claire Scoular ◽  
Sofia Eleftheriadou ◽  
Dara Ramalingam ◽  
Dan Cloney
Keyword(s):  
Problem Solving ◽  
Student Performance ◽  
International Student ◽  
Student Assessment ◽  
Collaborative Problem Solving ◽  
Policy Makers ◽  
International Student Assessment ◽  
Collaborative Problem ◽  
Complex Skill ◽  
Computer Based

Collaboration is a complex skill, comprised of multiple subskills, that is of growing interest to policy makers, educators and researchers. Several definitions and frameworks have been described in the literature to support assessment of collaboration; however, the inherent structure of the construct still needs better definition. In 2015, the Organisation for Economic Cooperation and Development, in their Programme for International Student Assessment assessed 15-year-old students’ collaborative problem solving achievement, with the use of computer-simulated agents, aiming to address the lack of internationally comparable data in this field. This paper explores what the data from this assessment tell us about the skill, and how these data compare with data from two other assessments of collaboration. Analyses enable comment on the extent to which the three assessments are measuring the same construct, and the extent to which the construct can be covered using computer-based assessments. These investigations generate better understanding of this complex and innovative domain.

A Tough Nut to Crack

2016 ◽  
pp. 344-359 ◽  
Author(s):  
Lei Liu ◽  
Jiangang Hao ◽  
Alina A. von Davier ◽  
Patrick Kyllonen ◽  
Juan-Diego Zapata-Rivera
Keyword(s):  
Cognitive Skills ◽  
International Student ◽  
Student Assessment ◽  
Collaborative Problem Solving ◽  
Virtual Agents ◽  
Computer Supported Collaborative Learning ◽  
International Student Assessment ◽  
Collaborative Problem ◽  
Collaborative Activities ◽  
Collaborative Skills

The purpose of our project is to explore the measurement of cognitive skills in the domain of science through collaborative problem solving tasks, measure the collaborative skills, and gauge the potential feasibility of using game-like environments with avatar representation for the purposes of assessing the relevant skills. We are comparing students' performance in two conditions. In one condition, students work individually with two virtual agents in a game-like task. In the second condition, dyads of students work collaboratively with two virtual agents in the similar game-like task through a chat box. Our research is motivated by the distributed nature of cognition, extant research on computer-supported collaborative learning (CSCL) which has shown great value of collaborative activities for learning, and the framework for the Programme for International Student Assessment (PISA) framework. This chapter focuses on the development and implementation of a conceptual model to measure individuals' cognitive and social skills through collaborative activities.

scholarly journals Computer-Based Collaborative Problem Solving in PISA 2015 and the Role of Personality

2019 ◽  
Vol 7 (3) ◽  
pp. 15 ◽  
Author(s):  
Matthias Stadler ◽  
Katharina Herborn ◽  
Maida Mustafić ◽  
Samuel Greiff
Keyword(s):  
Problem Solving ◽  
Structural Equation ◽  
Student Assessment ◽  
Investment Model ◽  
Collaborative Problem Solving ◽  
Big Five Personality ◽  
International Student Assessment ◽  
Social Collaboration ◽  
Collaborative Problem ◽  
The Impact

Collaborative problem solving (CPS) is an essential 21st century skill at the intersection of social collaboration and cognitive problem solving, and is increasingly integrated in educational programs, such as the influential Programme for International Student Assessment (PISA). As research has identified the impact of the Big Five personality traits either on cognitive ability or social collaboration skills in groups, this study firstly identified their impact on the conjoint construct of CPS. Results from structural equation modelling (N = 483) found openness to experience and agreeableness as predictors for CPS performance. The results are embedded in the lifelong learning and investment model by Ackermann and provide implications for PISA 2015, as original PISA 2015 CPS tasks were used.

scholarly journals Translator Trainees’ Reading Literacy, Problem Solving, and Translation Skills A Comparative Study

2019 ◽  
Vol 11 (3) ◽  
pp. 141-157
Author(s):  
Gabriella Kovács ◽  
Katalin Harangus
Keyword(s):  
Problem Solving ◽  
Foreign Language ◽  
International Student ◽  
Native Language ◽  
Student Assessment ◽  
Interdisciplinary Approach ◽  
Reading Literacy ◽  
Problem Solving Skills ◽  
International Student Assessment ◽  
Level Scale

AbstractLinguistic and cultural mediators, such as translators, interpreters, and language teachers, need complex and well-developed language skills in all the languages they work with. In this study, we examine the connections and correlations among the following skills: reading literacy in native language, reading literacy in foreign language, problem solving and translation. Three of these skills (reading in native and foreign language and problem solving) are evaluated on a three-level scale based on the three cognitive processes used in Programme for International Student Assessment (PISA) assessments (location of information, understanding, evaluation and reflection) (Organisation for Economic Co-operation and Development – OECD 2018). The methodology of measuring reading comprehension in native language and problem-solving skills has already been developed and applied by our research group (Pletl 2019, Harangus 2018); therefore, after assessing the foreign language reading literacy and translation skills, we will be able to analyse the translator trainees’ results based on the aforementioned three-level scale and examine possible connections and correlations between the different but interrelated skills. With an interdisciplinary approach, this study concentrates on revealing the overlaps and meeting points, the spaces in between the use of these skills.

scholarly journals Analysing Mathematical Word Problem Solving with Secondary Education CLIL Students: A Pilot Study

2019 ◽  
Vol 12 (1) ◽  
pp. 18-45
Author(s):  
Rafael Cabezuelo Vivo ◽  
Víctor Pavón
Keyword(s):  
Reading Comprehension ◽  
Secondary Education ◽  
Problem Solving ◽  
Word Problem ◽  
Language Proficiency ◽  
Word Problems ◽  
International Student ◽  
Student Assessment ◽  
Word Problem Solving ◽  
International Student Assessment

The purpose of this study is to investigate to what extent the use of L2 in math tests influences bilingual education learners’ process of word problem solving in a mandatory secondary education school with Content and Language Integrated Learning (CLIL). The reading comprehension level of the students was analysed using a standards-based assessment and the questions used in Programme for International Student Assessment (PISA) tests. The word problems were selected according to the students’ level of reading-comprehension and mathematical competence. Leaners also had to answer a questionnaire, which was used to analyse if contextual factors were affecting mathematical performance in L2. To this end, the questionnaire included some questions related to the bilingual history of the students and their perception about solving word problems in English. Data were analysed through one-way or two-way ANOVA tests to find out which factors were relevant. Results show that solving word problems is not only affected by the use of L2, but that it also depends on the mathematical difficulty, irrespective of the students’ level of language proficiency. The findings, hence, imply that interaction between linguistic difficulty and mathematical complexity is at the centre of the issues affecting word problem solving.

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