scholarly journals Need analysis for developing of a light waves module: a three-dimensional learning framework

2021 ◽  
Vol 2098 (1) ◽  
pp. 012021
Author(s):  
I A P Wandana ◽  
R Efendi ◽  
T R Ramalis

Abstract Some meaningful changes in science learning standards are listed in A Framework for K-12 Science Education and Next Generation Science Standards: For States, By States under a three-dimensional learning framework. Learning modules must be developed with the framework as the most advanced science learning standards. The research focus was to determine student needs for developing light waves module based on a three-dimensional learning framework. This study involved 147 respondents consisting of 22 teachers with different backgrounds and 125 high school students in the Purwakarta Regency. The instrument used was a 3DLQP questionnaire which included initial knowledge of the three-dimensional learning framework, learning modules in the school, criticism, and suggestions. Data obtained from questionnaires, interviews, national curriculum documents, NGSS complementary documents and then analyzed using triangulation of data sources. Based on the results, the teacher and student responses explain the need for the development of learning modules. This learning module is expected to facilitate the development of coherent and interconnected student knowledge, so that it can be used in various situations of everyday life.

2021 ◽  
Vol 2098 (1) ◽  
pp. 012022
Author(s):  
U Aziizah ◽  
R Efendi ◽  
M Muslim

Abstrak The Framework for K-12 Science Education and NGSS: For States, By States represent a substantial change in science learning standards in the form of a three-dimensional learning framework as the latest science learning standard. The purpose of this study was to analyze the need for a test development based on a three-dimensional learning framework on the topic of light waves in high school. The research subjects were 140 respondents consisting of 20 teachers and 120 students in the high school of Purwakarta area. The research used a 3DLQP questionnaire as an instrument, which accumulates respondent characteristics, prior knowledge of three-dimensional learning, tests used in school, and criticism and suggestions. Data collection was carried out using interviews, questionnaires, national curriculum documents, and NGSS documents. Data analysis utilized the triangulation of data sources. The study results were to elaborate student needs for developing tests and assessment rubrics from the teacher and student perceptions. This research also produces characteristics of test development that are adapted to the national curriculum.


2009 ◽  
Vol 7 (1) ◽  
pp. 83-104 ◽  
Author(s):  
Phitsamay Uy

In the world of K–12 education, the growing numbers of dropouts are a major concern. This article examines the dropout rates of Chinese and Vietnamese high school students. Using logistic regression analysis, this article examines the influence of ethnicity, gender, and socioeconomic status (SES) on dropout rates. The distinct contribution of this analysis lies within the intraethnic comparisons within the Asian American student population and its use of longitudinal data. The results of the study support existing research that gender and SES are related to dropout rates. Moreover, an interesting interaction between ethnicity and SES exists.


Author(s):  
Nicola A. Kiernan ◽  
Andrew Manches ◽  
Michael K. Seery

Visuospatial thinking is considered crucial for understanding of three-dimensional spatial concepts in STEM disciplines. Despite their importance, little is known about the underlying cognitive processing required to spatially reason and the varied strategies students may employ to solve visuospatial problems. This study seeks to identify and describe how and when students use imagistic or analytical reasoning when making pen-on-paper predictions about molecular geometry and if particular reasoning strategies are linked to greater accuracy of responses. Student reasoning was evidenced through pen-on-paper responses generated by high attaining, high school students (N = 10) studying Valence Shell Electron Pair Repulsion (VSEPR) Theory in their final year of chemistry. Through analysis and coding of students’ open-ended paper-based responses to an introductory task, results revealed that students employed multiple reasoning strategies, including analytical heuristics and the spontaneous construction of external diagrammatic representations to predict molecular geometry. Importantly, it was observed that despite being instructed on the use of VSEPR theory to find analytical solutions, some students exhibited preference for alternative reasoning strategies drawing on prior knowledge and imagistic reasoning; showing greater accuracy with 3D diagrammatic representations than students who used the algorithmic method of instruction. This has implications for both research and practice as use of specific reasoning strategies are not readily promoted as a pedagogical approach nor are they given credit for in national examinations at school level.


2021 ◽  
pp. 097135572110256
Author(s):  
Eric Joseph van Holm

Makerspaces have grown over the last two decades and provide a potentially important resource to entrepreneurs. One area where the expansion of makerspaces has been the largest is in educational settings, at both K-12 schools and colleges. However, scant research to date has analysed whether students visiting a makerspace have any relationship with their professional goals or intentions. This study uses a survey conducted in New Orleans to analyse the predictors of what students use a makerspace, and the potential relationship visiting may have with entrepreneurial intent. The analysis finds that students with a higher socio-economic status appear to use makerspaces more often, and that students who visited makerspaces are more likely to express interest in starting their own businesses.


AI Matters ◽  
2021 ◽  
Vol 7 (1) ◽  
pp. 4-4
Author(s):  
Iolanda Leite ◽  
Anuj Karpatne

Welcome to the first issue of this year's AI Matters Newsletter! We start with a report on upcoming SIGAI Events by Dilini Samarasinghe and Conference reports by Louise Dennis, our conference coordination officers. In our regular Education column, Duri Long, Jonathan Moon, and Brian Magerko introduce two "unplugged" activities (i.e., no technology needed) to learn about AI focussed on K-12 AI Education. We then bring you our regular Policy column, where Larry Medsker covers several topics on AI policy, including the role of Big Tech on AI Ethics and an interview with Dr. Eric Daimler who is the CEO of the MIT-spinout Conexus.com. Finally, we close with four article contributions. The first article discusses emerging applications of AI in analyzing source code and its implications to several industries. The second article discusses topics in the area of physical scene understanding that are necessary for machines to perceive, interact, and reason about the physical world. The third article presents novel practices and highlights from the Fourth Workshop on Mechanism Design for Social Good. The fourth article provides a report on the "Decoding AI" event that was conducted online by ViSER for high school students and adults sponsored by ACM SIGAI.


2015 ◽  
Vol 115 (2) ◽  
pp. 214-228 ◽  
Author(s):  
Nicole Healy ◽  
Elana Joram ◽  
Oksana Matvienko ◽  
Suzanne Woolf ◽  
Kimberly Knesting

Purpose – There is a growing need for school-based nutritional educational programs that promote healthy eating attitudes without increasing an unhealthy focus on restrictive eating or promoting a poor body image. Research suggests that intuitive eating (IE) approaches, which encourage individuals to focus on internal body signals as a guide for eating, have had a positive impact on eating-related psychological outcomes in adults. The purpose of this paper is to investigate the effects an IE education program on the eating attitudes of high school students. Design/methodology/approach – In a quasi-experimental study, 48 high school students (30 females) in a Midwest town in the USA received instruction on IE or a comparison program over seven days during health classes. Repeated measures analyses of covariance were conducted to examine changes in eating attitudes in sexes across conditions. Findings – Students who received the IE program made significantly greater gains in overall positive eating attitudes on the Intuitive Eating Scale than students in the comparison program (p=0.045), as well as on the Unconditional Permission to Eat subscale (p=0.02). There were no significant effects of sex on any of the analyses. Research limitations/implications – Because of the relatively small sample size and short duration of the program, the results should be generalized with caution. Practical implications – The results suggest that IE instruction may encourage the development of healthy eating attitudes in high school students, and health teachers may wish to consider including IE instruction in the health curriculum. Originality/value – This is the first study to examine the effectiveness of an IE program in a K-12 population, with instruction provided in the context of the school. The results are promising and suggest that this may be a fruitful area for future research in nutrition education.


Author(s):  
Yahya Rasheed Alameer

  The purpose of the research is to determine the effect of the difference in the mode of presentation of the enhanced reality models in the development of the cognitive achievement of secondary students in Jazan region in computer science, the researcher used quasi-experimental approach in comparing the 2D image models of Augmented reality to the first experimental group, and teaching the pattern of 3D image models of Augmented reality of the second experimental group, to ascertain the hypotheses of the research and to reveal the relationship between the independent variable and the dependent variable, the sample consisted of (60) students: (30) students in the first experimental group, which was studied using the two-dimensional Augmented Reality models, And (30) students in the second experimental group, which was studied using the pattern of Augmented Reality three-dimensional, the results showed that there were statistically significant differences at (α≤05.0) between the mean scores of the students of the first experimental groups studied using the two-dimensional Augmented Reality models, the second experiment, which was studied using the Augmented three-dimensional image models, in the post-application to test cognitive achievement, for the second experimental group studied using the three-dimensional Augmented Reality models, In the light of the results, recommendations and suggestions were made to develop the cognitive achievement of secondary students in computer and various subjects.    


2014 ◽  
Vol 116 (7) ◽  
pp. 1-35 ◽  
Author(s):  
Michael A. Gottfried ◽  
Robert Bozick ◽  
Sinduja V. Srinivasan

Background/Context Educational policymakers and researchers are concerned about the declining quantity and quality of U.S. students in line to pursue careers in science, technology, engineering, and mathematics (STEM) fields. As one policy response, a number of federal initiatives have been enacted to enhance STEM curriculum in schools. Part of this push has been to offer applied STEM courses in the K–12 curriculum to reinforce academic STEM material as well as motivate students to remain in these fields. Prior to this current study, no national-level research has evaluated the effectiveness of these courses. Purpose (a) What applied STEM courses are most commonly taken by high school students? (b) To what extent are high school students taking both academic math courses and applied STEM courses? (c) Do applied STEM courses in high school improve achievement in math? Participants To address the three research questions listed above, this study relies on a comprehensive longitudinal dataset: the Education Longitudinal Survey (ELS:2002). The present study is based on a sample of approximately 11,112 students who participated in the base-year (10th grade, 2002) and first follow-up (12th grade 2004) interviews, who completed math assessments in both years, and for whom valid transcript information was collected. Research Design This study begins with a descriptive analysis to evaluate which students have taken applied STEM courses and at which ability level. From this, a common set of applied STEM courses is determined across this nationally representative dataset. Next, this study relies on a linear regression model of math achievement where the dependent variable is a standardized math score. Independent covariates include measures as to whether or not a student had taken applied STEM courses, academic math courses taken by the student, and a range of controls. Findings Students who take an applied STEM course had higher math scores than their peers who did not take an applied STEM course, all else equal. These courses may be particularly beneficial for those students who are less oriented toward advanced math. Conclusions/Recommendations Applied STEM courses can be used to support learning in math instructed elsewhere in the curriculum, particularly for those students at the lower end of the math pipeline. In providing hands-on learning, often with technology and with direct application to concrete occupationally specific problems, applied STEM courses may serve as a critical means to support an understanding of concepts taught in lower level math pipeline courses.


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