Student perceptions of learning data-creation and data-analysis skills in an introductory college-level chemistry course

2015 ◽  
Vol 16 (2) ◽  
pp. 338-345 ◽  
Author(s):  
Nirit Glazer
Keyword(s):  
Data Analysis ◽  
Student Perceptions ◽  
Learning By Doing ◽  
College Level ◽  
Student Centered ◽  
Student Participant ◽  
Different Populations ◽  
Oral Presentations ◽  
Introductory College ◽  
Learning Data

This study examines how students perceive their learning of creating and analyzing data in an introductory inquiry chemistry course at a college level that features oral presentations in student-centered discussions. A student Participant Perception Indicator (PPI) survey was administered in order to obtain data on student perceptions with respect to their own data-creation and data-analysis skills, which skills are essential for learning and understanding science. These student perceptions regarding gaining knowledge were consistently higher than their perceptions regarding gaining confidence and experience; however, both the confidence and the experience measures increased significantly as a semester progressed. Further, significant differences in student perceptions were found to exist between students who made oral presentations and students who did not. This finding strongly supports the active learning theory,i.e., learning by doing, and strongly encourages student participation in knowledge creation. Findings were also analyzed according to student demographics (gender, school) to determine patterns for different populations within the groups of students. Such analysis is important for instructors and for course designers to enable them to adjust their manner of teaching based on student demographic information in their classes, and to adjust the provided feedback and guidance, as needed.

scholarly journals Perbedaan Tingkat Kemandirian Belajar Ditinjau Dari Metode Pembelajaran pada Anak

2018 ◽  
Vol 7 (1) ◽  
pp. 60-68
Author(s):  
Nindia Pratitis
Keyword(s):  
Data Analysis ◽  
Higher Learning ◽  
Learning Method ◽  
Test Technique ◽  
Student Centered ◽  
Student Centered Learning ◽  
Significant Difference ◽  
Self Learning ◽  
Learning Data ◽  
Teacher Centered

This study aims to determine whether there are differences in learning independence in terms of learning methods in children. Subjects in this study consisted of children aged 6-12 years amounted to 84 people, which is divided into two groups where the first group is a child using student centered learning method while the second group is a group that uses teacher centered learning method learning. Data collecting tool is a self-learning questionnaire prepared by the author. The questionnaire consisted of 36 items of statement items. The data analysis was done by independent sample t test technique with the help of SPSS version 17 statistic program. The result of data analysis showed that there was a significant difference of learning independence level in terms of learning method in children where children using student centered learning method have higher learning independence level than children using teacher centered learning method. Keywords: Learning Independence, Learning Method

Marketing customer response scoring model based on machine learning data analysis

2020 ◽  
pp. 1-11
Author(s):  
Tang Yan ◽  
Li Pengfei
Keyword(s):  
Machine Learning ◽  
Data Analysis ◽  
Data Extraction ◽  
Machine Learning Algorithms ◽  
Customer Relationship ◽  
Customer Data ◽  
Modeling And Analysis ◽  
Scoring Model ◽  
Model Based ◽  
Learning Data

In marketing, problems such as the increase in customer data, the increase in the difficulty of data extraction and access, the lack of reliability and accuracy of data analysis, the slow efficiency of data processing, and the inability to effectively transform massive amounts of data into valuable information have become increasingly prominent. In order to study the effect of customer response, based on machine learning algorithms, this paper constructs a marketing customer response scoring model based on machine learning data analysis. In the context of supplier customer relationship management, this article analyzes the supplier’s precision marketing status and existing problems and uses its own development and management characteristics to improve marketing strategies. Moreover, this article uses a combination of database and statistical modeling and analysis to try to establish a customer response scoring model suitable for supplier precision marketing. In addition, this article conducts research and analysis with examples. From the research results, it can be seen that the performance of the model constructed in this article is good.

Learning Data Analysis with Data Desk

1990 ◽  
Vol 74 (470) ◽  
pp. 407
Author(s):  
Derek Robinson ◽  
Paul F. Velleman
Keyword(s):  
Data Analysis ◽  
Learning Data

Interactive protocol for acquisition of migraine diaries with a mobile app and machine learning data analysis

2021 ◽  
Author(s):  
Tatiane Vieira Alves ◽  
Kamila Rios da Hora Rodrigues ◽  
Moacir Antonelli Ponti
Keyword(s):  
Machine Learning ◽  
Data Analysis ◽  
Mobile App ◽  
Learning Data

How High School Coursework Predicts Introductory College-Level Course Success

2018 ◽  
Vol 46 (2) ◽  
pp. 176-196 ◽  
Author(s):  
Chenoa S. Woods ◽  
Toby Park ◽  
Shouping Hu ◽  
Tamara Betrand Jones
Keyword(s):  
High School ◽  
College Level ◽  
Course Success ◽  
Introductory College

scholarly journals Portraits of Undergraduate Discipline-Specific Thinking: Guiding Students from Novice to Proficient Learner

2020 ◽  
Vol 20 (2) ◽  
Author(s):  
Patricia Stovey ◽  
Tiffany Trimmer
Keyword(s):  
Undergraduate Students ◽  
Habits Of Mind ◽  
College Level ◽  
Student Centered ◽  
Cognitive Behaviors ◽  
Second Nature ◽  
Historical Methods ◽  
First Time

This case study presents our experiences, insights, and the pedagogical techniques used to guide undergraduate students toward discipline-specific thinking. It demonstrates the role of student-centered practices in moving students from what we categorize as novice to proficient, a common goal in rite-of-passage courses across the disciplines. Our study follows two semesters of students in undergraduate college-level Historiography and Historical Methods courses to identify common stumbling blocks encountered when learning contextualization (our discipline-specific thinking skill). We analyze students’ habits of mind, cognitive behaviors, and assumptions when learning to think differently. We present a qualitative portrait demonstrating the range of student cognitive behaviors as they attempt to move towards proficiency. As experts immersed in our fields of study and its practices, we can sometimes forget that what comes second-nature to us is far from natural to our students—regardless of their enthusiasm. We may overestimate the background knowledge that our students have, and underestimate the brain bandwidth required when trying—for the first time—to think differently.

scholarly journals Students' Perceptions of Learning Using Powtoon Based on Gender in SMP/MTS

2021 ◽  
Vol 2 (1) ◽  
pp. 76-83
Author(s):  
Fajriana Fajriana ◽  
Safriana Safriana ◽  
Nurdin Nurdin
Keyword(s):  
Data Analysis ◽  
Student Perceptions ◽  
Primary Data ◽  
Secondary Sources ◽  
Analysis Technique ◽  
Learning Mathematics ◽  
Virtual Classes ◽  
Gender Based ◽  
Secondary Information ◽  
Perception Survey

Perception is an individual observation or process giving meaning as a result of observations about an object, event, and so on through his five senses, which is obtained by inferring information and interpretation of messages so that someone can provide feedback about the good or bad or the positive and negative of it. The use of animation media in learning other than providing many conveniences, there are also obstacles, causing various student perceptions. Students' perceptions of the use of learning media can be seen by gender. This study aims to determine students' perceptions of learning using animation/powton in SMP/MTs based on gender. Based on the data collected, this research is descriptive with a qualitative approach. The data collection method in this study used a questionnaire in collecting data from primary and secondary sources. In this study, the primary data was the result of a perception survey through a questionnaire conducted to SMP/MTs students. In contrast, secondary information is obtained from a literature review regarding online learning systems and virtual classes. The data analysis technique uses percentages. The results of data analysis are presented descriptively in the following subchapter. Based on the results of research and discussion, it has been known that students' perceptions of learning mathematics using Powton media are perfect. Both male and female students positively perceive learning mathematics by using Powton-based learning media in SMP/MTs. Students get an average student answer of 100% and fall into the "Very Good" category. it explains that animation media is beneficial for students in understanding the lesson.

scholarly journals Implementasi Model IBMR Berbantu PhET Simulation untuk Meningkatkan Kemampuan Representasi pada Pembelajaran Fisika

2019 ◽  
Vol 10 (2) ◽  
pp. 96-100
Author(s):  
Joko Siswanto
Keyword(s):  
Information Technology ◽  
Data Analysis ◽  
Research Data ◽  
Physics Learning ◽  
Physics Courses ◽  
Information Technology Education ◽  
Post Test ◽  
Basic Physics ◽  
Learning Data ◽  
Paired T Test

This study aims to analyze the effectiveness of the IBMR learning model assisted by phet to improve the ability of representation in physics learning. The research design used quasi-experiment one group pre-test and post-test conducted on 20 students of Information Technology Education at Universitas PGRI Semarang who programmed basic physics courses. The research data was collected from pre-test and post-test the ability of representation supported by observations of the implementation of learning. Data analysis uses paired t-test and n-gain to calculate and determine the criteria of increase of the representation ability. The results showed that the implementation of the IBMR model assisted by phet simulation was effective in increasing the ability of representation of students with gain score <g> = 0,59 (moderate criteria).

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