Publications related to virtual laboratories during the covid 19 pandemic: A bibliometric review and analysis

During the COVID-19 pandemic, virtual laboratories are instrumental in learning physics concepts. A virtual laboratory is one media that can be used as a solution to carry out concept discovery activities through simulation using computer software. This article was created to explain the trend of publications related to virtual laboratories during the COVID-19 pandemic for 2020-2021 through bibliometric analysis of the literature. The papers analyzed were obtained using the Publish or Perish (PoP) software on the Google Scholar database. The following publication trend expresses in the form of graphic visualization, which is analyzed using VOSviewer software. Overall, articles with the keyword virtual laboratory published in the late 2020-2021 period focus on its relationship with Covid 19 and evaluation. This focus of research shows that during the past year, the focus of research is how to evaluate learning through virtual laboratories.

THE APPLICATION OF MUJA’S DISCOVERY LEARNING MODEL TO IMPROVE STUDENT SCIENTIFIC LITERACY SKILLS IN CLASS 9B AT THE 7TH STATE JUNIOR HIGH SCHOOL MUARO JAMBI

This study aims to improve students' scientific literacy skills in grade 9B at the 7th State Junior High School Muaro Jambi by learning Discovery Learning Muja. This classroom action research was conducted in two cycles. The research instruments were learning observation sheets, student observation sheets, scientific literacy tests, attitude questionnaires. The indicator of the success of students' scientific literacy was that at least 50% of respondents have achieved scientific literacy in the good category. The application of Muja's Discovery Learning on plant and animal breeding materials in grade 9B at the 7th State Junior High School Muaro Jambi can improve scientific literacy. 53% of students have reached the good category. Muja's Discovery Learning can be applied to the topics/materials that can be related to the local potential of the Muaro Jambi area. The concept discovery process will be more meaningful if it is carried out through investigations/experiments that emphasize student activities that support the development of scientific literacy.

BELAJAR DENGAN DIALOG (Deep Dialog dan Critical Thiking Sebagai Model Penerapan Pendidikan Karakter)

The caregivers of the Church Soya, in carrying out the sagat learning process, were accustomed to using monotonous lecture methods, the use of methods, strategies and learning media rarely seen in the learning process. This study aims to find out what the learning process is with the dialogue on Church Formal Education (PFG) for GPM Soya's. The data of this study were analyzed using qualitative research methods with data collection techniques are observation, interviews and literature and data analysis techniques are data reduction, display data and draw conclusions and verification. By using Deep Dialog and Critical Thiking Theory with dialogue methods in the learning process with results indicators are Silence, community building, concept discovery activities, reflection and evaluation.The results found in this study were that caregivers found it very difficult to use the method of dialogue with students, so the teaching and learning process carried out was very monotonous by using the lecture method. Children's creativity and caregivers are not honed and have no development. In-depth dialogue with children's goals and caregivers are open, honest, respectful of others and independent learning has not occurred in the learning process. These findings are analyzed by means of learning with silence in establishing internal and external dialogue, building a class community for democratic dialogue, finding concepts for independence in dialogue, reflection as an educational and evaluation dialogue as a means of achieving learning with dialogue.Keyword: Church Formal Dialogue and Education (PFG)

Overcoming Language Priors in VQA via Decomposed Linguistic Representations

Most existing Visual Question Answering (VQA) models overly rely on language priors between questions and answers. In this paper, we present a novel method of language attention-based VQA that learns decomposed linguistic representations of questions and utilizes the representations to infer answers for overcoming language priors. We introduce a modular language attention mechanism to parse a question into three phrase representations: type representation, object representation, and concept representation. We use the type representation to identify the question type and the possible answer set (yes/no or specific concepts such as colors or numbers), and the object representation to focus on the relevant region of an image. The concept representation is verified with the attended region to infer the final answer. The proposed method decouples the language-based concept discovery and vision-based concept verification in the process of answer inference to prevent language priors from dominating the answering process. Experiments on the VQA-CP dataset demonstrate the effectiveness of our method.

Enhancing Conceptual Thinking With Interactive Concept Discovery (INCOD)

Interactive concept discovery (InCoD), based on concept parsing algorithms (CPA), is a novel learning tool in the context of pedagogy for conceptual thinking. It supports semantic searches of key word in context (KWIC), an interactive procedure that use text analysis (concordance, collocation, co-occurrence, word frequency) and allows students to explore the course knowledge repository (KR) for discovery of conceptual contents. InCoD guides sequential teaching/learning episodes in an academic course by focusing learners' attention on conceptual meaning. InCoD is part of a pedagogical approach that is very different from the usual classroom scenario where students are given a problem-solving exercise and asked to solve it individually.