Student Learning Interest in the Use of Augmented Reality Media on Triangles and Quadrilaterals

Interactive multimedia is a learning model to generate thoughts, motivate, convey messages, so as to encourage the teaching and learning process and can generate students' learning experiences to become more real. The purpose of the researchers conducting the research was to find out students' learning interest in the use of Augmented Reality media as a learning medium on triangle and quadrilateral material for class VII MTs. The researcher used a quantitative descriptive research method with 20 students of class VII MTs as a random sample. This study used a non-test instrument in the form of a student learning interest questionnaire. Quantitative descriptive data analysis was used as a data analysis technique in this study. The results of student responses to the use of Augmented reality software as learning media obtained a percentage with an average of 79.25% which is relatively high. This shows that the student's response to the use of Augmented Reality is positive. learning media so that later it can be used for the learning process that can attract students' interest in learning

The effect of the team games tournament learning model assisted by question card media on student learning outcomes

This study aimed to improve student learning outcomes and determine the effect of the Team Games Tournament (TGT) learning model assisted by question card media on human reproductive system material. This study employed a quantitative research type, with a quasi-experimental research design. Class XI science 1 student totalled 36, and class XI science 2 students totalled 36, with research instruments consisting of hand-held elective tests administered during post-test and pre-test. Using version 20 of the SPSS software, descriptive and paired simple t-test analyses of data were conducted. The average pre-test scores for the experimental group were 24.17, whereas those for the control group were 22,78. The average post-test scores of the experimental group were 80,14, on the other hand, those of the control group were 69. In the paired simple t-test, the 2-tailed sign value was 0,00 < 0,05, and the tcount > ttable which was 47,61 > 2,03. This demonstrates that the TGT learning model assisted by media question cards can enhance learning outcomes and significantly impact the biology learning process. TGT learning aided by question cards may be one way for educators to optimise learning processes and outcomes

Penggunaan Model Creative Problem Solving (CPS) untuk Meningkatkan Kemampuan Matematis Siswa

The purpose of this research is to describe students' mathematical problem solving abilities during learning process with Creative Problem Solving (CPS) model and simultaneously to see the improvement of problem solving ability of students. This research uses a qualitative approach together with quantitative through concurrent embedded strategy. The sample of research is 22 students of class VIII SMP Negeri 4 Pilot Aceh Tamiang. The instruments used are problem solving and semi-structured test. Data of problem solving ability of student during learning with CPS model was analyzed descriptively, while improvement of problem solving ability of student was analyzed by t-test using SPSS software version 22 for windows. The results showed that there was development of problem solving ability of students during learning with CPS model. The development of students 'problem-solving abilities is demonstrated by students' ability to understand problems, plan settlements, solve problems and re-examine them. This ability is evident at every meeting. Further research results also show there is an increase in problem solving skills of students with CPS model

The Development and Usability of a Multimedia Black Cat Courseware using Storytelling Approach

Computer technology and multimedia in education have long been in the education field since there are many advantages offered by the applications. The combination of multimedia elements has influenced the way students learn, increase their performance and change the study environments. Multimedia can also help in solving the matters pertaining to teaching and learning process. This research aims to fulfil three main objectives: to design a simple model for storytelling approach that can be used in the multimedia courseware; to develop a multimedia courseware for English literature (BC-C) learning for pre-university level; to evaluate the effectiveness and usability of the developed courseware. The development of BC-C has taken into considerations few components such as the pedagogy, learning theories and elements of multimedia in one digital environment. This will allow the students to visualize the plots in the literature story, to understand some of the English words and to make learning process more enjoyable. The developed courseware adapted ADDIE methodology into the BC-C Life Cycle, as the Instructional Design Method. The courseware has been developed using Macromedia Director, Flash and other multimedia software. There are four modules: story, exploratory, reinforcement and enrichment. Storytelling approach in BC-C has presented via 2D cartoon movie to help students visualize the flow of the plots for the Black Cat literature story. Based on Quasi experiment, the sample study consisted of 60 Universiti Teknologi PETRONAS (UTP) second semester, Foundation program students. Various instruments such as sets of pre-test and post-test, direct observation, questionnaires and interview have been designed to measure the effectiveness and usability of the multimedia courseware. The effectiveness and usability of the courseware were evaluated based on the quantitative and qualitative analyses using SPSS version 11.5. Overall, the results show that BC-C prototype is effective for learning English literature at the pre-university level, for the case study of UTP Foundation students

Quantitative toxicity prediction using topology based multi-task deep neural networks

The understanding of toxicity is of paramount importance to human health and environmental protection. Quantitative toxicity analysis has become a new standard in the field. This work introduces element specific persistent homology (ESPH), an algebraic topology approach, for quantitative toxicity prediction. ESPH retains crucial chemical information during the topological abstraction of geometric complexity and provides a representation of small molecules that cannot be obtained by any other method. To investigate the representability and predictive power of ESPH for small molecules, ancillary descriptors have also been developed based on physical models. Topological and physical descriptors are paired with advanced machine learning algorithms, such as deep neural network (DNN), random forest (RF) and gradient boosting decision tree (GBDT), to facilitate their applications to quantitative toxicity predictions. A topology based multi-task strategy is proposed to take the advantage of the availability of large data sets while dealing with small data sets. Four benchmark toxicity data sets that involve quantitative measurements are used to validate the proposed approaches. Extensive numerical studies indicate that the proposed topological learning methods are able to outperform the state-of-the-art methods in the literature for quantitative toxicity analysis. Our online server for computing element-specific topological descriptors (ESTDs) is available at http://weilab.math.msu.edu/TopTox/Comment: arXiv admin note: substantial text overlap with arXiv:1703.1095

Developing reproducible and comprehensible computational models

Quantitative predictions for complex scientific theories are often obtained by running simulations on computational models. In order for a theory to meet with wide-spread acceptance, it is important that the model be reproducible and comprehensible by independent researchers. However, the complexity of computational models can make the task of replication all but impossible. Previous authors have suggested that computer models should be developed using high-level specification languages or large amounts of documentation. We argue that neither suggestion is sufficient, as each deals with the prescriptive definition of the model, and does not aid in generalising the use of the model to new contexts. Instead, we argue that a computational model should be released as three components: (a) a well-documented implementation; (b) a set of tests illustrating each of the key processes within the model; and (c) a set of canonical results, for reproducing the model’s predictions in important experiments. The included tests and experiments would provide the concrete exemplars required for easier comprehension of the model, as well as a confirmation that independent implementations and later versions reproduce the theory’s canonical results

Enhancing Writing Performance of Iranian EFL University Students in the Light of Using Computer Assisted Language Learning

The purpose of this research is to improve the performance of Iranian EFL students writing process model based on technology to see computer software checked the grammar, punctuation, spelling and the performance of students. So there is in need of different conditions to design protocols for using computer assisted language learning to improve students’ performance. A quantitative method including pre- test and post -test followed in this study. The study lasted for four weeks with naturalistic use of computer software in the writing instruction of experimental group to check the performance of students based on using computer assisted language learning. The present study involves various techniques in writing performance in contrast with other traditional methods. Computer assisted language learning was employed to compare and assess the writing performance. The results of the study support the idea that word processors improve the EFL learners’ writing mechanism. Computer assisted language learning gives best path for the writing performance of students and also decreases mistakes in writings. This research provides recommendable performance for EFL learners, EFL teachers to adopt the technique in their classes to advance their students' language learning. Therefore, a comparison of the results after the next course cycle will then allow to impose the effects of enhancing writing performance, which would not be possible without using computer assisted language learning approach