scholarly journals Predictive Feature Generation and Selection Using Process Data From PISA Interactive Problem-Solving Items: An Application of Random Forests

2019 ◽  
Vol 10 ◽  
Author(s):  
Zhuangzhuang Han ◽  
Qiwei He ◽  
Matthias von Davier
Keyword(s):  
Problem Solving ◽  
Random Forests ◽  
Feature Generation ◽  
Process Data ◽  
Predictive Feature

Scientific Problem Solving in a Virtual Laboratory: A Comparison Between Individuals and Pairs

2008 ◽  
Vol 67 (2) ◽  
pp. 71-83 ◽  
Author(s):  
Yolanda A. Métrailler ◽  
Ester Reijnen ◽  
Cornelia Kneser ◽  
Klaus Opwis
Keyword(s):  
Visual Search ◽  
Problem Solving ◽  
Process Data ◽  
Scientific Problem ◽  
Domain Specific ◽  
Scientific Problem Solving ◽  
Before And After ◽  
Verbal Data ◽  
Psychological Knowledge ◽  
Problem Solving Task

This study compared individuals with pairs in a scientific problem-solving task. Participants interacted with a virtual psychological laboratory called Virtue to reason about a visual search theory. To this end, they created hypotheses, designed experiments, and analyzed and interpreted the results of their experiments in order to discover which of five possible factors affected the visual search process. Before and after their interaction with Virtue, participants took a test measuring theoretical and methodological knowledge. In addition, process data reflecting participants’ experimental activities and verbal data were collected. The results showed a significant but equal increase in knowledge for both groups. We found differences between individuals and pairs in the evaluation of hypotheses in the process data, and in descriptive and explanatory statements in the verbal data. Interacting with Virtue helped all students improve their domain-specific and domain-general psychological knowledge.

Proses Berpikir Logis Siswa Sekolah Dasar Bertipe Kecerdasan Logis Matematis dalam Memecahkan Masalah Matematika

2014 ◽  
Vol 2 (2) ◽  
Author(s):  
Liska Yanti Pane ◽  
Kamid Kamid ◽  
Asrial Asrial
Keyword(s):  
Problem Solving ◽  
Learning Process ◽  
Qualitative Method ◽  
Logical Thinking ◽  
Think Aloud ◽  
Process Data ◽  
Thinking Process ◽  
Problem Solving Process ◽  
Problem Solving Strategy ◽  
Solving Strategy

This research aims to describe logical thinking process of a logical-mathematical intelligence student. We employ qualitative method to disclose the subject’s learning process. Data are collected by interview and modified think aloud methods. The results show that subject has capability to find and organize problems and data correctly. Subject describes conditions that are needed to do the steps of problem solving strategy. The steps are done systematically until the end of problem solving process.

scholarly journals Using process data to understand problem-solving strategies and processes for drag-and-drop items in a large-scale mathematics assessment

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Yang Jiang ◽  
Tao Gong ◽  
Luis E. Saldivia ◽  
Gabrielle Cayton-Hodges ◽  
Christopher Agard
Keyword(s):  
Problem Solving ◽  
Time Allocation ◽  
Large Scale ◽  
Solution Process ◽  
Process Data ◽  
Mathematics Assessments ◽  
Assessment Design ◽  
Eighth Grade Students ◽  
Problem Solving Strategies ◽  
Drag And Drop

AbstractIn 2017, the mathematics assessments that are part of the National Assessment of Educational Progress (NAEP) program underwent a transformation shifting the administration from paper-and-pencil formats to digitally-based assessments (DBA). This shift introduced new interactive item types that bring rich process data and tremendous opportunities to study the cognitive and behavioral processes that underlie test-takers’ performances in ways that are not otherwise possible with the response data alone. In this exploratory study, we investigated the problem-solving processes and strategies applied by the nation’s fourth and eighth graders by analyzing the process data collected during their interactions with two technology-enhanced drag-and-drop items (one item for each grade) included in the first digital operational administration of the NAEP’s mathematics assessments. Results from this research revealed how test-takers who achieved different levels of accuracy on the items engaged in various cognitive and metacognitive processes (e.g., in terms of their time allocation, answer change behaviors, and problem-solving strategies), providing insights into the common mathematical misconceptions that fourth- and eighth-grade students held and the steps where they may have struggled during their solution process. Implications of the findings for educational assessment design and limitations of this research are also discussed.

scholarly journals Multi-Class Assessment Based on Random Forests

2021 ◽  
Vol 11 (3) ◽  
pp. 92
Author(s):  
Mehdi Berriri ◽  
Sofiane Djema ◽  
Gaëtan Rey ◽  
Christel Dartigues-Pallez
Keyword(s):  
Higher Education ◽  
Machine Learning ◽  
Random Forests ◽  
Learning Algorithm ◽  
Teaching Staff ◽  
Machine Learning Algorithm ◽  
Process Data ◽  
Training Courses ◽  
Education Courses

Today, many students are moving towards higher education courses that do not suit them and end up failing. The purpose of this study is to help provide counselors with better knowledge so that they can offer future students courses corresponding to their profile. The second objective is to allow the teaching staff to propose training courses adapted to students by anticipating their possible difficulties. This is possible thanks to a machine learning algorithm called Random Forest, allowing for the classification of the students depending on their results. We had to process data, generate models using our algorithm, and cross the results obtained to have a better final prediction. We tested our method on different use cases, from two classes to five classes. These sets of classes represent the different intervals with an average ranging from 0 to 20. Thus, an accuracy of 75% was achieved with a set of five classes and up to 85% for sets of two and three classes.

Pulling strings

2014 ◽  
Vol 9 (1) ◽  
pp. 52-69 ◽  
Author(s):  
Paola Valli
Keyword(s):  
Problem Solving ◽  
Methodological Approach ◽  
External Support ◽  
Special Focus ◽  
Process Data ◽  
Web Based ◽  
Dynamic Search ◽  
User Activity ◽  
Data Source ◽  
The Eu

Current forms of web-based external support can easily log user activity and provide researchers with large quantities of an additional type of process data. This paper aims to present a multilingual concordancer used by translators at the EU institutions as an instance of this new data source. To analyze concordance data, a methodological approach will be developed to include searches across multiple language combinations. A concordance search will be broken down into individual components that will be analyzed both quantitatively and qualitatively with a special focus on the problem unit and the cognitive aspects of problem solving. Results show that searches can be both static (spot searches) and dynamic (search sessions). Moreover, translators often tend to refine their queries by reducing the initial search and progressively highlighting the actual problematic item.

scholarly journals PROTOTYPE APLIKASI GENERATE BARCODE BERBASIS WEB PADA PT. BIMASAKTI KARYAPRIMA

2020 ◽  
Vol 6 (1) ◽  
pp. 1-11
Author(s):  
Ilamsyah Ilamsyah ◽  
Agus Hidayatullah ◽  
Muhammad Aldino Dwi Putra
Keyword(s):  
Problem Solving ◽  
Software Design ◽  
System Application ◽  
Design Methods ◽  
Process Data ◽  
Time Efficiency ◽  
Shoe Industry ◽  
The Way

PT. BimasaktiKaryaprima is a medium-sized company engaged in the shoe industry. In this company, there is a system to create barcode shoe data that still uses Libre Office, where in the implementation of the system there are several things that become obstacles, which includes the effectiveness and time efficiency in the process of inputting barcode shoes data, the form of manufacture which is still typing one by one the data that must be printed in making a barcode. With the above reasons, the author tries to provide an alternative problem solving by creating a barcode making system application where the user can input large amounts of data and can also process data import with CSV file extension, so that it will eliminate the way of making barcode data with the Libre Office which has been running at PT. Bimasaktikaryaprima. At this writing the method used for collecting data through observation, interviews, literature studies and software design methods using the waterfall method.

scholarly journals A Continuous-Time Dynamic Choice Measurement Model for Problem-Solving Process Data

Psychometrika ◽  
2020 ◽  
Author(s):  
Yunxiao Chen
Keyword(s):  
Problem Solving ◽  
Continuous Time ◽  
Measurement Model ◽  
Complex Data ◽  
Process Data ◽  
Dynamic Choice ◽  
Time Dynamic ◽  
Log File ◽  
Problem Solving Process ◽  
Problem Solving Competency

AbstractProblem solving has been recognized as a central skill that today’s students need to thrive and shape their world. As a result, the measurement of problem-solving competency has received much attention in education in recent years. A popular tool for the measurement of problem solving is simulated interactive tasks, which require students to uncover some of the information needed to solve the problem through interactions with a computer-simulated environment. A computer log file records a student’s problem-solving process in details, including his/her actions and the time stamps of these actions. It thus provides rich information for the measurement of students’ problem-solving competency. On the other hand, extracting useful information from log files is a challenging task, due to its complex data structure. In this paper, we show how log file process data can be viewed as a marked point process, based on which we propose a continuous-time dynamic choice model. The proposed model can serve as a measurement model for scaling students along the latent traits of problem-solving competency and action speed, based on data from one or multiple tasks. A real data example is given based on data from Program for International Student Assessment 2012.

scholarly journals Problem-Solving Skills as a Mediator Variable in the Relationship between Habits of Mind and Psychological Hardiness of University Students

2020 ◽  
Vol 10 (3) ◽  
pp. 88
Author(s):  
Mohamed Sayed Abdellatif, ◽  
Mervat Azmi Zaki
Keyword(s):  
Problem Solving ◽  
University Students ◽  
Female Students ◽  
Habits Of Mind ◽  
Process Data ◽  
Problem Solving Skills ◽  
Male And Female ◽  
Psychological Hardiness ◽  
The Relationship ◽  
Mediator Variable

This study investigated the role of problem-solving skills as a mediator variable in the relationships between habits of mind and the psychological hardiness among university students, and to identify the difference between male and female students in each of the habits of mind, psychological hardiness, and problem-solving skills. The sample comprised of 285 male and female, third-year Faculty of Education, University students. The data collection utilized the habits of mind scale, the problem-solving scale, and the psychological hardiness scale (Mekhemer, 1996). SPSS v.25 and AMOS v.24 were used to process data. The findings revealed that problem-solving skills partially mediates the relationship between habits of mind and psychological hardiness, and the results also demonstrated that there are no statistically significant differences between male and female students in habits of mind, problem-solving skills, and psychological hardiness. Future research suggestions include planning stakeholders at the university stage should take into consideration the necessity to integrate habits of mind and problem-solving skills in curricula, and providing training for faculty members to enhance university students' psychological hardiness. 

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