The objective of this research is to know learning process to increase elementary student learning outcomes in math study through problem solving method. The research also to find out the changing of learning outcomes after acting method. About twenty one students of SDN 22 Belopa the subject of this research. The research uses action research method by Kemmis and Mc. Taggart which consist of four steps: (a) planning, (b) action, (c) observation, and (d) reflection. The data collecting techniques use field notes, documentations, and observation. This research also uses quantitative and qualitative analyses. The result of the research indicate that learning outcomes of math were improvements with using problem solving method after acting in learnig. The significant improvement was proved with the test of relsulting student from 66.6 % at the first cycle, and raising level 80.9% the second cycle. DOI: 10.15408/tjems.v1i1.1116
The purpose of this study is to explore the challenges of the online learning community in Indonesia, social sensitivity in online learning, and eliminate the instructional online system that is needed. Data collection was carried out through a virtual deepening response to the 2019 PAI online learning community teachers in Indonesia. The results obtained showed the advantages and disadvantages of the use of new social space in the interaction among the student community. Social sensitivity such as empathy, respect, mutual interaction, and social care built from togetherness in conventional learning is changing. The interactions created by online learning present a technical sensitivity to the use of software, features, symbols, and icons. Furthermore, this interaction has brought about independence and discipline. The instructional online system design required is instructional content that is integrated with social experience in everyday life.
The aims of this study are to (1) explain the forms of mixed-use of L1 to L2 codes in social media posts, (2) explain the factors that cause the use of L1 to L2 mixed codes and (3) describe language mastery. This study uses a qualitative descriptive analysis method. Data in code-mixing was obtained from secondary data, namely written posts with COVID-19 content on social media, Facebook and Twitter. A mixture of L1 and L2 codes in postings on social media includes words and phrases manifested in congruent insertion, change, and lexicalisation forms. The influencing factors are divided into (1) speaker factors, such as showing off, prestige, and language skills, and (2) linguistic factors, such as popular terms, topics, modes, speech partners, time and place/location. With the emergence of various terms related to COVID-19, the mastery of a second language for digital natives, in this case, English, is increasing. Although the use of code-mixing, there are some errors in writing, sentence structure, and cohesion, digital natives can master L2 through code-mixing, including accuracy of word writing, word selection, syntactic structure, cohesion, and coherence in the sentence.
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