IMPACT ON STUDENTS LEARNING BY USING PHET INTERACTIVE SIMULATOR IN PHYSICS CLASSES

2021 ◽  
Author(s):  
Maria Passos ◽  
Isabel Araújo
Keyword(s):  
Physics Classes ◽  
Learning By Using

UPAYA MENINGKATKAN KOMPETENSI PEDAGOGIK GURU SDN TURUSGEDE DI SEMESTER I TAHUN PELAJARAN 2018/2019 DALAM MEMBUKA DAN MENUTUP PEMBELAJARAN MELALUI SUPERVISI AKADEMIK TEKNIK PENILAIAN DIRI SENDIRI

2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Siti Ulfah
Keyword(s):  
Elementary School ◽  
Action Observation ◽  
The Self ◽  
Self Assessment ◽  
Test Technique ◽  
Assessment Technique ◽  
First Semester ◽  
Opening And Closing ◽  
Academic Year ◽  
Learning By Using

The purposes of this reasearch are 1) describing the efforts of increasing the elementary school of Turusgede teachers pedagogic competence at the first semester of 2018/2019 academic year in opening and closing the learning by using the self assessment technique and 2) analysing the increase of the elementary school of Turusgede teachers pedagogic competence at the first semester of 2018/2019 academic year in opening and closing the learning by using the self assessment technique. This research is School Action Research (SAR). This research is taken palce in elementary school of Turusgede, Subdistrict of Rembang, Regency of Rembang. The time of this research is the early-middle first semester of 2018/2019 academic year. The subjects of this research are teachers in the elementary school of Turusgede, Subdistrict of Rembang, Regency of Rembang, consist of twelve teachers. The data of this research is teachers pedagogic competence in opening and closing the learning. The techniques of collecting data are using nontest technique and test technique. The tools of collecting data are using the sheets of observation, camera application on hand phone and the form of self assessment. The technique of analizing data in this research is decriptive comparation. The procedure of this research is using Cycle Model, consist of four steps: planning, action, observation and reflection. Each cycle is going on one week. The results of this research are 1) the academic supervision with self assessment technique is previously sharing the form of self assessment to the subjects of this research, 2) self assessment technique is self assessment according to the next theme and matter, 3) self assessment technique is self assessment after the learning finish and 4) teachers pedagogic competence with self assessment technique is increasing and including good category (B) that according with the result of observation and including very good category (A) that according with the result of self assessment. Key words: Pedagogic, Supervision, Self Assessment Technique.

Improving Q-learning by Using the Agent's Action History

2016 ◽  
Vol 136 (8) ◽  
pp. 1209-1217 ◽  
Author(s):  
Masanori Saito ◽  
Teruji Sekozawa
Keyword(s):  
Learning By Using

Analysis on Mobile Learning by Using Smart Phones among Chinese University Students

2014 ◽  
Vol 519-520 ◽  
pp. 1667-1670
Author(s):  
Huan Cao ◽  
Zhao Hui Guo
Keyword(s):  
University Students ◽  
Mobile Learning ◽  
The State ◽  
Smart Phones ◽  
Chinese University ◽  
Android System ◽  
Chinese University Students ◽  
Level Of Understanding ◽  
Learning By Using

Mobile learning based on smart phones has become a hot topic in research.In this paper, questionnaires and interviews were applied to survey the state of Chinese university students' mobile learning by using smart phones, and 360 students from 5 universities in Wuhan were chose as samples.The research discovers that the students' level of understanding about mobile learning is still low.Even though most of them possess smart phones with Android system, they seldom use smart phones to learn their major in after-class time.To improve the performance of mobile learning by using smart phones,the R&D of smart phones should be strengthened, more abundant learning APP should be developed and the coverage of wifi should be widened.

scholarly journals Interest in STEM is contagious for students in biology, chemistry, and physics classes

2017 ◽  
Vol 3 (8) ◽  
pp. e1700046 ◽  
Author(s):  
Zahra Hazari ◽  
Geoff Potvin ◽  
Jennifer D. Cribbs ◽  
Allison Godwin ◽  
Tyler D. Scott ◽  
...  
Keyword(s):  
Physics Classes

scholarly journals Automatic Attendance Management System under Unconstrained Video using Face Recognition

2020 ◽  
Vol 9 (10) ◽  
pp. 229-232
Keyword(s):  
Deep Learning ◽  
Face Recognition ◽  
Management System ◽  
Traditional Method ◽  
Surveillance Camera ◽  
Recognition Systems ◽  
End To End ◽  
Learning By Using

Attendance Management System under unconstrained video using face recognition technology has made a great variation from the traditional method of attendance marking system. This attendance management system has been developed under the domain of Deep Learning by using Face recognition. Automatic Attendance Management under unconstrained video using face recognition systems which automatically mark attendance by detecting end to end face from the frames obtained from live stream video of surveillance camera which placed in center of the classroom. From the recognized faces, it will be compared with stored images in database, then the attendance report will be generated and it also provides attendance reports to parents of the absentee’s student.

scholarly journals Identifying Diseases and Diagnosis using Machine Learning

2019 ◽  
Vol 8 (6S2) ◽  
pp. 978-981
Keyword(s):  
Machine Learning ◽  
Mathematical Model ◽  
Dimensionality Reduction ◽  
Disease Classification ◽  
High Dimensional ◽  
Classification Algorithms ◽  
Major Work ◽  
The Mathematical Model ◽  
Best Fit ◽  
Learning By Using

The method that is use to optimize the criterion efficiency that depend on the previous experience is known as machine learning. By using the statistics theory it creates the mathematical model, and its major work is to surmise from the examples gave. To take the data straightforwardly from the information the approach uses computational methods. For recognize and identify the disease correctly a pattern is very necessary in Diagnosis recognition of disease. for creating the different models machine learning is used, this model can use for prediction of output and this output is depend on the input that is related to the data which previously used. For curing any disease it is very important to identify and detect that disease. For classify the disease classification algorithms are used. It uses are many dimensionality reduction algorithms and classification algorithms. Without externally modified the computer can learn with the help of the machine learning. For taking the best fit from the observation set the hypothesis is selected. Multi-dimensional and high dimensional are used in machine learning. By using machine learning automatic and classy algorithms can build.

scholarly journals Transforming the Learning Environment of Undergraduate Physics Laboratories to Enhance Physics Inquiry Processes

2017 ◽  
Vol 8 ◽  
Author(s):  
Gregory P. Thomas ◽  
Al Meldrum ◽  
John Beamish
Keyword(s):  
Learning Environment ◽  
Early Years ◽  
First Year ◽  
First Semester ◽  
Physics Laboratory ◽  
Physics Classes ◽  
Mixed Method Design ◽  
Physics Laboratories ◽  
First Time ◽  
Academic Year

Concerns persist regarding the lack of promotion of students’ scientific inquiry processes in undergraduate physics laboratories. The consensus in the literature is that, especially in the early years of undergraduate physics programs, students’ laboratory work is characterized by recipe type, step-by-step instructions for activities where the aim is often confirmation of an already well-established physics principle or concept. In response to evidence reflecting these concerns at their university, the authors successfully secured funding for this study. A mixed-method design was employed. In the 2011/2012 academic year baseline data were collected. A quantitative survey, the Undergraduate Physics Laboratory Learning Environment Scale (UPLLES) was developed, validated, and used to explore students’ perceptions of their physics laboratory environments. Analysis of data from the UPLLES and from interviews confirmed the concerns evident in the literature and in a previous evaluation of laboratories undertaken in 2002. To address these concerns the activities that students were to perform in the laboratory section of the course/s were re/designed to engage students in more inquiry oriented thinking and activity. In Fall 2012, the newly developed laboratory activities and tutorials, were implemented for the first time in PHYS124; a first year course. These changes were accompanied by structured training of teaching assistants and changes to the structure of the evaluation of students’ laboratory performance. At the end of that term the UPLLES was administered (n = 266) and interviews with students conducted (n = 16) to explore their perceptions of their laboratory environments. Statistically significant differences (p<.001) between the students in the PHYS 124 classes of 2011/2012 and 2012/2013 across all dimensions were found. Effect sizes of 0.82 to 1.3, between the views of students in the first semester physics classes of 2011/2012 and 2012/2013, were also calculated suggesting positive changes in the laboratory inquiry orientation. In their interviews, students confirmed and detailed these positive changes while still noting areas for future improvement.

scholarly journals The Evaluation of School Administrators' Views on the Need for Professional Development of Teachers regarding the Use of Technology in Physics Classes

2020 ◽  
Vol 8 (4) ◽  
pp. 58
Author(s):  
Gurcan Uzal ◽  
Aytekin Erdem
Keyword(s):  
Professional Development ◽  
School Administrators ◽  
Demographic Characteristics ◽  
The Other ◽  
Statistical Techniques ◽  
National Education ◽  
Use Of Technology ◽  
Physics Classes ◽  
Professional Development Needs ◽  
The City

The aim of the study is to investigate the school administrators' views on the professional development needs of teachers regarding the use of technology in physics classes. The participants of the study were 121 executive teachers from the city of Kocaeli. The data for the research was obtained using the survey model and was compiled with the help of a five point Likert type scale. The data collected by a scale with the reliability coefficient of 0.92 were analyzed using descriptive and inferential statistical techniques. As a result of the analysis, it was found that the administrators completely agreed with the use of the LCD panels in the teaching of physics subjects, while only agreeing with the other items. In addition, the opinions of school administrators regarding the professional development needs of teachers for the use of technology in physics classes does not differ according to demographic characteristics, but significantly do however, according to gender and experience. In light of the results, recommendations were made for researchers, administrators and the Ministry of National Education.

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