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2021 ◽  
Vol 10 (6) ◽  
pp. 215-226
Author(s):  
Jun Heo ◽  
Eun-Joo Lee
Keyword(s):  

2021 ◽  
Vol 11 (4) ◽  
pp. 608-618
Author(s):  
Simon Resania Junior ◽  
Dwi Rukmini ◽  
Issy Yuliasri

This research aims to find out how the realization of classroom modes and interactional features of teacher talk and identify the interactional features that either support or hindrance student's learning in science class elementary level. The descriptive qualitative method is applied in this study. Twelve lessons from 7 teachers were transcribed and analyzed using the Self Evaluation of Teacher Talk (SETT) framework adapted from Walsh (2006) supported by data interview. The findings show that all four classroom modes can be seen in all of the lessons, but classroom context modes were found in a limited portion. The teachers performed all interactional features where the most frequent occurrences are teacher echo, display question, seeking clarification, content feedback, and extended teacher turn. The lesser proportion of the interactional features are scaffolding, extended wait time, referential questions, direct repair, confirmation check, extended learner turn, teacher interruptions, form-focused feedback, and turn completion. From all the interactional features that have been employed, seeking clarification, content feedback, scaffolding, and extended wait time are strategies that potentially support students learning. On the other hand, teacher echo and display questions were found to hindrance students’ learning potentially.


EFEKTOR ◽  
2021 ◽  
Vol 8 (2) ◽  
Author(s):  
Shafa Rizqi Nabilah ◽  
Waspodo Tjipto Subroto

The purpose of this study is to analyze the differences in learning outcomes and to analyze the effectiveness of the use of evaluation tools  on learning outcomes in State Expenditure Revenue Budget and Regional Expenditure Budget materials toward students in science class XI. Because there is a decrease in student learning outcomes during distance learning so that, this study utilizes experimental research that uses a nonequivalent control group design, with a population of 170 students with majors in Science. In selecting the sample, researcher uses purposive sampling technique with Science class XI 3 as the experimental class and Science class XI 4 as the control class, but the only difference in the experimental class is given as additional evaluation tools. This study utilizes hypothetical test of pre-test value and post-test with One Way Anova. Based on these results, in the use of evaluation tools there was no significant difference in student learning outcomes in State Expenditure Revenue Budget and Regional Expenditure Budget materials toward students in science class XI and the use of evaluation tools had effectiveness as a support for improving learning outcomes with State Expenditure Revenue Budget and Regional Expenditure Budget materials toward student ins science class XI


Author(s):  
Amir Hakim Harahap

Classroom Action Research (CAR) was carried out to overcome the low science learning outcomes of Class IVa students at SD Negeri 192 Pekanbaru. This science learning problem is solved by applying the recitation method or giving assignment. This Classroom Action Research aims to improve the activities and learning outcomes of Science Class IVa students at SD Negeri 192 Pekanbaru by using the Recitation Method. This classroom action research is expected to be useful for writers, students, schools, and the Pekanbaru City Education Office. Based on research conducted by the author that by using the Resit Method, the learning outcomes of science on the human skeleton, its functions, and maintenance of Grade IVa students of SD Negeri 192 Pekanbaru increased significantly. Prior to the study the classical average was 67.40 or sufficient; in the first cycle to 68.40 (enough); and the result of the second cycle is 79.60 (competent). Completed or achieved KKM individually and classically increased; initially only 16 or 43.20% of students have finished studying; cycle I to 23 students or 62.20%; and in the second cycle as many as 34 students or 91.90%. In cycle II, learning was considered successful because students who achieved the KKM (70) were above 85%. Participants who fail will be given remedial learning. The results of observations, Class IVa students of SD Negeri 192 Pekanbaru using the Assignment Method, students study more diligently and study science more diligently. Based on the results of the study, the Assignment Giving Method succeeded in fixing the problem of low learning outcomes for IVa students at SDN 192 Pekanbaru for the 2019/2020.   Penelitian Tindakan Kelas (PTK) ini dilaksanakan untuk mengatasi rendahnya hasil belajar IPA Siswa Kelas IVa SD Negeri 192 Pekanbaru. Masalah belajar IPA ini diatasi dengan menerapkan Metode resitasi atau Pemberian Tugas. Penelitian Tindakan Kelas ini bertujuan untuk Untuk meningkatkan aktivitas dan hasil belajar IPA Siswa Kelas IVa SD Negeri 192 Pekanbaru dengan cara menggunakan Metode Resitasi. Penelitian tindakan Kelas ini diharapkan bermanfaat bagi penulis, siswa, sekolah, dan Dinas Pendidikan Kota Pekanbaru. Berdasarkan penelitian yang dilakukan oleh penulis bahwa dengan menggunakan Metode Resit hasil belajar IPA materi rangka manusia, fungsi, dan pemeliharaannya Siswa Kelas IVa SD Negeri 192 Pekanbaru meningkat secara signifikan. Sebelum penelitian rata-rata secara klasikal adalah 67,40 atau cukup; pada siklus I menjadi 68,40 (cukup); dan hasil siklus II adalah 79,60  (kompeten). Tuntas atau mencapai KKM secara individual dan klasikal meningkat; awalnya hanya 16 atau 43,20% siswa yang tuntas belajar;  siklus I menjadi 23 siswa atau 62,20%; dan pada siklus II sebanyak 34 siswa atau 91,90%. Pada siklus II, pembelajaran telah dianggap berhasil karena siswa yang mencapai KKM (70) telah di atas 85%. Peserta yang gagal akan dilakukan pembelajaran remedial. Hasil pengamatan, Siswa Kelas IVa SD Negeri 192 Pekanbaru dengan menggunakan Metode Pemberian Tugas siswa belajar lebih rajin dan tekun belajar IPA. Berdasarkan hasil penelitian pembelajaran Metode Pemberian Tugas berhasil memperbaiki masalah rendahnya hasil belajar siswa IVa SDN 192 Pekanbaru tahun ajaran 2019/2020.


2021 ◽  
Vol 62 (2) ◽  
pp. 559-576
Author(s):  
Takayuki YAMADA ◽  
Yoshihiko INADA ◽  
Masakazu OKAZAKI ◽  
Jun-ichi KURIHARA ◽  
Tatsushi KOBAYASHI

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Maija Nousiainen ◽  
Mikko Kesonen ◽  
Karoliina Vuola

Argumentointi on tunnistettu tärkeäksi koulutuksen tavoitteeksi, minkä vuoksi sitä on painotettu luonnontieteiden opetuksessa. Painotus on avannut lupaavia mahdollisuuksia, mutta myös ongelmia, joiden ymmärtämiseksi tarkastelemme neljää argumentoinnin mallia. Tavoitteena on ymmärtää, millaisella mallilla voitaisiin kattavasti kuvata fysiikan tiedon argumentointia opettajakoulutuksen kontekstissa. Toulmin kuvaa argumentin rakennetta ottamatta kantaa sisältötiedon oikeellisuuteen. Böttcher ja Meisert kuvaavat argumentointia selitysmallien kehittymisen näkökulmasta. Sampson tarkastelee argumentointia koulukokeellisuuden näkökulmasta. Sandoval ja Millwood käsittelevät argumentin käsitteellistä ja episteemistä laatua. Argumentointimallit ovat ansiokkaita, mutta riittämättömiä fysiikan tiedon luonteen kuvaamiseksi. Niistä puuttuu muun muassa fysiikan tiedonmuodostuksen kannalta keskeinen teorialähtöisen päätelmän näkökulma. Fysiikan tiedon argumentointiin tarvitaankin fysiikan tiedon luonteesta kumpuava malli.   Argumentation Models in Illustrating Physics Knowledge Abstract Understanding scientific argumentation is an important educational goal. To emphasize argumentation in science class, we need suitable models to illustrate what argumentation is. We review four argumentation models to find perspectives for specifically physics argumentation. Toulmin’s model identifies argumentative moves. Böttcher and Meisert see argumentation as comparing data and explanatory models. Sampson looks at the use of evidence. Sandoval and Millwood study the conceptual and epistemic quality of an argument. Deductive reasoning, which is a relevant part of physics knowledge, is not for example lacking in some argumentation models. Physics argumentation needs a model, which raises from the nature of physics knowledge. Keywords: argumentation, argumentation models, physics


2021 ◽  
Vol 11 (2) ◽  
Author(s):  
Silje Andresen

Using a toolkit approach in combination with the concept of street-level bureaucracy and theories of discretion, this article has empirically investigated the resources that influence teachers’ discretionary reasoning when teaching controversial issues. The analysis has been based on 32 classroom observations at two upper secondary schools in Oslo, Norway, in one Religion and Ethics and one Social Science class, and interviews with 16 teachers who taught the same subjects. The results have shown that professional competence, professional and personal values, and relationships with pupils worked as a toolkit of resources that teachers could draw upon when making discretionary judgments in different contexts. A better understanding of teachers’ use of discretionary reasoning may enable curriculum developers and policymakers to support teachers in the complex social landscape of teaching controversial issues.


2021 ◽  
pp. 107-132
Author(s):  
Magy Seif El-Nasr ◽  
Truong Huy Nguyen Dinh ◽  
Alessandro Canossa ◽  
Anders Drachen

This chapter discusses the topic of how one can use visualization techniques to analyze game data. Specifically, the chapter delves into the development of heatmaps to analyze spatio-temporal data. The chapter also discusses spatio-temporal visualizations and state-action transition visualizations. We also discuss two visualization systems that we have developed within the GUII lab: Stratmapper and Glyph. We provide you with a link that allows you to explore the use of these visualizations with real game data. This chapter is written in collaboration with Riddhi Padte and Varun Sriram, based on their work in Dr. Seif El-Nasr’s game data science class at Northeastern University; Erica Kleinman, PhD student at University of California at Santa Cruz; and Andy Bryant, software engineer at GUII Lab. The chapter also includes labs where you get to experience the analysis of game data through visualization.


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