The Impact of Linkage Methods in Hierarchical Clustering for Active Learning to Rank

2017 ◽  
Author(s):  
Ziming Li ◽  
Maarten de Rijke
Keyword(s):  
Active Learning ◽  
Hierarchical Clustering ◽  
Learning To Rank ◽  
Linkage Methods ◽  
The Impact

An Active Learning Approach to Teaching Social Determinants of Health

2020 ◽  
Vol 6 (4) ◽  
pp. 266-273
Author(s):  
Jeanita W. Richardson
Keyword(s):  
Active Learning ◽  
Learning Style ◽  
Social Determinants ◽  
Learning Approach ◽  
Learning Style Preferences ◽  
Open Discussion ◽  
Approach To Teaching ◽  
The Individual ◽  
Style Preferences ◽  
The Impact

This active learning exercise is designed to deconstruct the impact of social determinants through the assumption of randomly selected personas. As an active learning exercise, it provides opportunities for discussion, problem solving, writing, and synthesis, while incorporating multiple learning style preferences. Part 1 involves assessing the individual social determinants at work. Part 2 involves exploring ways said determinants can enhance community health through collaboration. Assumption of personas unlike one’s own facilitates an open discussion of social position and ranges of factors influential to health without potentially evoking a sense of defensiveness associated with personal privilege (or the lack thereof).

scholarly journals Enhanced student perceptions of learning and performance using concept-point-recovery teaching sessions: a mixed-method approach

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Hyun Jin Cho ◽  
Michael R. Melloch ◽  
Chantal Levesque-Bristol
Keyword(s):  
Academic Success ◽  
Active Learning ◽  
Learning Environment ◽  
Learning Outcomes ◽  
Student Perceptions ◽  
Psychological Needs ◽  
Basic Psychological Needs ◽  
Academic Learning ◽  
Control Group ◽  
The Impact

Abstract Background Active learning pedagogy has recently received a great deal of attention, and many universities have attempted to create student-centered learning environments to improve students’ academic success. The purpose of this study is to explore the impact of concept-point-recovery (CPR) teaching sessions as an active learning strategy on students’ perceptions of the learning environment, motivation, and academic learning outcomes in an electrical engineering course. To investigate the effectiveness of CPR sessions, students’ perceptions of learning and their performance were compared to those of students in a control classroom. Finally, students’ written comments on the course and instructor were explored in further analysis. Results The quantitative findings revealed that there was a significant change in students’ perceptions of learning after the CPR teaching sessions, and there was an increase in students’ perceptions and learning outcomes compared with those of the control group. In addition, the qualitative findings from students’ written feedback demonstrated that students felt that the instructor cared about students’ learning and success and that they had a positive learning environment. Conclusions CPR teaching sessions can be an alternative model for instructors to connect with students and create supportive environments to help students achieve academic success, which in turn promotes the satisfaction of students’ basic psychological needs and self-determined motivation. Therefore, increasing students’ engagement in their learning processes and making connections with students through CPR teaching sessions can facilitate improvements in students’ motivation and academic success. How this new active learning technique can be applied to higher education is discussed.

Optimal Capacitors Placement of Distribution Systems Using 2nd Order Power Loss Sensitivity Analysis and Hierarchical Clustering

2014 ◽  
Vol 986-987 ◽  
pp. 377-382 ◽  
Author(s):  
Hui Min Gao ◽  
Jian Min Zhang ◽  
Chen Xi Wu
Keyword(s):  
Sensitivity Analysis ◽  
Hierarchical Clustering ◽  
Distribution System ◽  
Power Flow ◽  
Distribution Systems ◽  
Reactive Power ◽  
Digital Simulation ◽  
Second Order ◽  
First Order ◽  
The Impact

Heuristic methods by first order sensitivity analysis are often used to determine location of capacitors of distribution power system. The selected nodes by first order sensitivity analysis often have virtual high by first order sensitivities, which could not obtain the optimal results. This paper presents an effective method to optimally determine the location and capacities of capacitors of distribution systems, based on an innovative approach by the second order sensitivity analysis and hierarchical clustering. The approach determines the location by the second order sensitivity analysis. Comparing with the traditional method, the new method considers the nonlinear factor of power flow equation and the impact of the latter selected compensation nodes on the previously selected compensation location. This method is tested on a 28-bus distribution system. Digital simulation results show that the reactive power optimization plan with the proposed method is more economic while maintaining the same level of effectiveness.

Data Field for Hierarchical Clustering

2011 ◽  
Vol 7 (4) ◽  
pp. 43-63 ◽  
Author(s):  
Shuliang Wang ◽  
Wenyan Gan ◽  
Deyi Li ◽  
Deren Li
Keyword(s):  
Hierarchical Clustering ◽  
Physical Space ◽  
Core Data ◽  
Data Object ◽  
Group Data ◽  
Data Field ◽  
Data Objects ◽  
The Masses ◽  
Space Data ◽  
The Impact

In this paper, data field is proposed to group data objects via simulating their mutual interactions and opposite movements for hierarchical clustering. Enlightened by the field in physical space, data field to simulate nuclear field is presented to illuminate the interaction between objects in data space. In the data field, the self-organized process of equipotential lines on many data objects discovers their hierarchical clustering-characteristics. During the clustering process, a random sample is first generated to optimize the impact factor. The masses of data objects are then estimated to select core data object with nonzero masses. Taking the core data objects as the initial clusters, the clusters are iteratively merged hierarchy by hierarchy with good performance. The results of a case study show that the data field is capable of hierarchical clustering on objects varying size, shape or granularity without user-specified parameters, as well as considering the object features inside the clusters and removing the outliers from noisy data. The comparisons illustrate that the data field clustering performs better than K-means, BIRCH, CURE, and CHAMELEON.

scholarly journals Student engagement and higher order skill proficiency: a comparison of traditional didactic and renewed integrated active learning curricula

2018 ◽  
Vol 42 (4) ◽  
pp. 685-692 ◽  
Author(s):  
Mari K. Hopper ◽  
Daniela A. Brake
Keyword(s):  
Student Engagement ◽  
Medical Students ◽  
Active Learning ◽  
Medical School ◽  
Curriculum Reform ◽  
Higher Order ◽  
Poor Correlation ◽  
First Year ◽  
Cohort Groups ◽  
The Impact

A large, multicampus, public medical school underwent curricular renewal, emphasizing a student-centered approach with 50% of all course contact time devoted to active learning. Determining the impact of active learning on student engagement and higher order skill (HOS) proficiency was the primary aim of this study. Following Institutional Review Board approval, two cohort groups of first-year medical students were enrolled. The first cohort ( n = 54) included students before curriculum reform in the legacy curriculum (LC). The second cohort ( n = 73) included students completing studies in the renewed curriculum (RC). Near the end of the first year of medical school, both cohorts completed a validated survey of student engagement, and a proctored problem-based assessment of HOS proficiency [Collegiate Learning Assessment (CLA+)]. Results indicated RC students perceived greater levels of engagement than LC (39.5+5.8 vs. 33.3+5.6), and greater reliance on HOS, including analysis, synthesis, and application. However, there were no significant differences between cohorts in proficiency of HOS when assessed by the CLA+ (LC = 1,878 ± 161 vs. RC = 1,900 ± 157). Additionally, poor correlation between engagement and HOS for both LC and RC indicated more engaged students do not necessarily possess greater HOS proficiency. Ceiling effect may explain results as medical students enter medical school as highly skilled learners with potentially little room for improvement. It will be informative to continue to track engagement and HOS of both cohort groups as they continue their medical studies.

scholarly journals The impact of the use of some active learning strategies in the teaching of literary knowledge on the literary taste of high school students in the UAE

2019 ◽  
Vol 1 (5) ◽  
Author(s):  
Mohammed Abdul Rahman Al - Jagoub
Keyword(s):  
Active Learning ◽  
Secondary School ◽  
Learning Strategies ◽  
Group Performance ◽  
Control Group ◽  
Significance Level ◽  
Secondary Stage ◽  
Active Learning Strategies ◽  
The Impact ◽  
Experimental Group

The objective of this study was to develop an achievement test to measure the skills of literary tasting. It consists of (30) multiple choice types, which were applied to a sample of the stability test According to the KR 20 equation, the study used semi-experimental research methodology. The sample consisted of (120) male and female students of the 10th grade at Gulf Arab Secondary School for Boys and Al-Hira Secondary School for Girls in Sharjah. The people were chosen deliberately, (60) students, experimental subjects studied the material using active learning strategies, and the control group studied the same material in the normal way. After analyzing the data, the results of the study indicated that the students in the experimental group achieved a higher level of control group students Statistical analysis showed differences in the level of literary taste at the statistical significance level (α = 0.05); due to the active learning strategies, the total mathematical mean of the experimental group performance was on the post taste test (26.60) For the control group (20.90). The value of P (58.05), the value of the significance level (0.00), that is less than (0.05), which indicates that there are significant differences between the experimental group and the control group for the benefit of the experimental group, and the value of (P) Between the sex and the group was (1.00), which is not statistically significant value, where its significance (0.32), and does not indicate the existence of an effect of interaction between the teaching method and sex. The study concluded with recommendations calling on teachers to use active learning strategies in the teaching of literary knowledge. And focus on those strategies when writing Arabic language books for the secondary stage.

scholarly journals Design and evaluation of probabilistic record linkage methods supporting the Brazilian 100-million cohort initiative.

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Robespierre Pita ◽  
Clicia Pinto ◽  
Marcos Barreto ◽  
Samila Sena ◽  
Rosemeire Fiaccone ◽  
...  
Keyword(s):  
Hybrid Approach ◽  
Conditional Cash Transfer ◽  
Probabilistic Methods ◽  
Cash Transfer ◽  
Bloom Filters ◽  
Santa Catarina ◽  
Entire Cohort ◽  
Unified Health System ◽  
Linkage Methods ◽  
The Impact

ABSTRACTBackground and aimsA cooperation Brazil-UK was set in mid-2013 aiming at to build a huge cohort comprised by individuals registered in CadastroÚnico (CADU), a socioeconomic database used in social programmes of the Brazilian government. Epidemiologists and statisticians wish to assess the impact of Bolsa Família (PBF), a conditional cash transfer programme, on the incidence of several diseases (tuberculosis, leprosy, HIV etc). The cohort must contain all individuals who received at least one payment from PBF between 2007 and 2012, which results in a 100-million records according to our preliminary analysis. These individuals must be probabilistically linked with databases from the Unified Health System (SUS), such as hospitalization (SIH), notifiable diseases (SINAN), mortality (SIM), live births (SINASC), to produce data marts (domain-specific data) to the proposed studies. Within this cooperation, our first goal was to design and evaluate probabilistic methods to routine link the cohort, PBF, and SUS outcomes. ApproachWe implemented two probabilistic linkage methods: a full probabilistic, based on the Dice similarity (Sorensen index) of Bloom filters; and an hybrid approach, based on rules to deterministic and probabilistic matching. We performed linkages involving CADU (2011 extraction) and SUS outcomes (SIH, SINAN, and SIM) with samples from 3 states (Sergipe, Santa Catarina and Bahia) with an increasing size (from 1,447,512 to 12,036,010). ResultsUsing a Dice between 0.90 and 0.92, our methods retrieved more than 95% of true positive pairs amongst the linked pairs. For Sergipe, we obtained as <linked pairs,true positives>: <23,22>, <315,300>, <32,32>, respectively for SIH, SINAN, and SIM. For Bahia: <771,593>, <2677,2626>, <208,207>. Another linkage between CADU (1,447,512 records) and SINAN (624 records), for tuberculosis in Sergipe, returned 397 (full probabilistic) and 311 (hybrid) linked pairs, being 306 and 300 true positives. Another execution considering CADU (1,988,599 records) and SINAN (2,094 records), for tuberculosis in Santa Catarina, returned 791 (full probabilistic) and 500 (hybrid) linked pairs, with 667 and 472 true positives. Linking CADU (1.685,697 records) and SIM, for mortality of children under-4, returned 18 linked pairs, all of them true positives, for a Dice between 0.90 and 0.92 and with 100% of sensitivity, specificity, and positive predictive value. ConclusionDue to the absence of gold standards, we use samples with increasing sizes and manual review when adequate. Our results are quite accurate, although obtained with an unique extraction of CADU. We are starting to run linkages with the entire cohort.

scholarly journals THE EFFECT OF ACTIVE LEARNING METHOD ON STUDENTS’ ATTITUDE TOWARDS MATHEMATICS

2020 ◽  
Vol 9 ◽  
Author(s):  
Bibigul Kazmagambet ◽  
Zhansaya Ibraimova ◽  
Serkan Kaymak
Keyword(s):  
Active Learning ◽  
Learning Strategy ◽  
Teaching Strategy ◽  
Learning Method ◽  
Learning Group ◽  
Attitude Towards Mathematics ◽  
Active Learning Method ◽  
The Republic ◽  
Active Learning Strategy ◽  
The Impact

The world is changing so fast, and therefore education needs to adapt to the challenges of times. In order to update the content of school education in the Republic of Kazakhstan modern trends are going to be used. These trends contain pedagogical methods that can be used to preserve and even increase internal motivation, as active learning. Active learning method is an treatment where students participate or interact with the learning process, as opposed to passively taking in the information.The goal of this study is to identify the impact of active learning method on 10th grade students’ attitude towards mathematics of the students the second semester of the school year 2019-2020. More specifically, it attempted to determine and compare the attitude toward mathematics of students’ exposure to active learning and traditional teaching strategy. The Likert scale used to evaluate the attitude of students toward mathematics. Mean, Cronbach  value, T-test were the statistical tools used in anatomizing and interpreting the research data. The discovering showed that the students in the active learning group had auspicious attitude than students in the conventional teaching group. According to the findings after research, we saw the direct relation between attitude and active learning. It is concluded that the students’ attitude toward mathematics was better by using active learning strategy. It is recommended that mathematics teacher should use active learning strategy in order to improve the attitude toward mathematics of the students.Keywords:  attitude, mathematics, active learning

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