scholarly journals Teaching Programming Using the Robot-Based Learning Approach

2020 ◽  
Vol 7 (2) ◽  
pp. 22-28
Author(s):  
Stephanus Mberema Kangungu ◽  
Maizatul Hayati Mohamad Yatim
Keyword(s):  
Learning Theory ◽  
Educational Development ◽  
Learning Theories ◽  
Learning Approach ◽  
Educational Robotics ◽  
Learning Approaches ◽  
Learning Tools ◽  
Current Generation ◽  
Academic Literature ◽  
The Subject

This paper discusses learning theories, STEM, educational robotics as well as the current generation of students found in classrooms by reviewing previous and current academic literature on these topics, to assist in ascertaining the current advancements and theories related to the Robot-based learning approach as well as how these advancements have helped improve this approach and enabled educators to better make use of it. Furthermore, this paper reviews previous academic literature on computer programming to discuss the current learning approaches in use and the kind of learning tools being utilized. Once this topics are reviewed the reader can have a clear picture of the learning approach, what learning theory does it belong too, the type of students found in the classroom as well as what motivates them and the subject that is being taught as well as the different learning tools for this subject. The reader will also learn why improving the effectiveness of how programming is learned helps create more students good in STEM and how it assists in realising the Malaysian Educational Development Plan. This paper reviewed literature from the year 2014 and above as the information is more relevant and current, except for literature that is from a leading or renowned individual in any field that is being discussed in this dissertation.

PENERAPAN TEORI BELAJAR HUMANISTIK DALAM PEMBELAJARAN

2019 ◽  
Vol 3 (2) ◽  
pp. 105
Author(s):  
Ni Nyoman Perni
Keyword(s):  
Learning Theory ◽  
Learning Process ◽  
Learning Theories ◽  
Educational Systems ◽  
Learning Approach ◽  
Future Challenge ◽  
Human Beings ◽  
Human Identity ◽  
Ideal Form ◽  
The Future

<p>Students are human beings whose human identity as a conscious subject needs to be defended and enforced through educational systems and models that are "free and egalitarian". The future challenge of education is to realize the process of learning democratization. A democratization process that reflects that learning is on children's initiative. To develop so that humans become mature, it is not enough if they are only trained, but also must be educated. Students must be educated for realists, recognize a life that is multidimensional, not uniform and invited to live a complementary diversity. Whereas in training, what is primarily formed is outward behavior. This learning theory talks more about the concepts of education to shape human beings who are aspired to, and about the learning process in its most ideal form. In other words, this theory is more interested in the notion of learning in its most ideal form than the understanding of the learning process as it is, as has been studied by other learning theories. In its implementation, this humanistic theory, among others, also appears in the learning approach proposed by Ausubel.</p>

Would Printed Textbook Survive in the Digital Age?

2013 ◽  
Vol 4 (2) ◽  
pp. 49-52
Author(s):  
Hesham F. Marei ◽  
Gohar Wajid
Keyword(s):  
Medical Service ◽  
Digital Age ◽  
Learning Theories ◽  
Learning Tools ◽  
High Quality ◽  
Current Generation ◽  
New Learning ◽  
Modern Textbook ◽  
To Come ◽  
Medical Teachers

The need for a high quality medical service challenged the medical educationists to come with new learning tools, and strategies that can be adapted by the current generation of learners, and on the same side based on scientific learning theories. The new learning theories and technology had an impact on the style, content, and organization of modern textbook, which highlights the need for medical teachers who can renovate their role as a resource developer in the digital age.

Mobile Affordances and Learning Theories in Supporting and Enhancing Learning

2017 ◽  
Vol 9 (2) ◽  
pp. 61-73 ◽  
Author(s):  
Kathryn MacCallum ◽  
Stephanie Day ◽  
David Skelton ◽  
Michael Verhaart
Keyword(s):  
Experiential Learning ◽  
Mobile Learning ◽  
Learning Theory ◽  
Mobile Technology ◽  
Learning Activities ◽  
Learning Theories ◽  
Learning Approaches ◽  
Learning Practices ◽  
Support Students ◽  
Specific Learning

Mobile technology promises to enhance and better support students' learning. The exploration and adoption of appropriate pedagogies that enhance learning is crucial for the wider adoption of mobile learning. An increasing number of studies have started to address how existing learning theory can be used to underpin and better frame mobile learning activities. In particular, there are a number of learning theories that have been identified which particularly lend themselves to the specific affordances of mobile learning. This paper examines how mobile technology was incorporated within three different computing courses. These case studies explore how specific learning approaches (collaborative learning, connectivism and experiential learning) were adopted to frame the use of the technology within each course and how the affordances of mobile technology were harnessed to enhance and better support existing learning practices.

Handwriting Analysis and Personality Assessment

2000 ◽  
Vol 5 (1) ◽  
pp. 44-51 ◽  
Author(s):  
Peter Greasley
Keyword(s):  
Personality Traits ◽  
Personality Assessment ◽  
Personnel Selection ◽  
Empirical Studies ◽  
Handwriting Analysis ◽  
Recruitment Process ◽  
Academic Literature ◽  
Personnel Recruitment ◽  
The Subject ◽  
Better Than

It has been estimated that graphology is used by over 80% of European companies as part of their personnel recruitment process. And yet, after over three decades of research into the validity of graphology as a means of assessing personality, we are left with a legacy of equivocal results. For every experiment that has provided evidence to show that graphologists are able to identify personality traits from features of handwriting, there are just as many to show that, under rigorously controlled conditions, graphologists perform no better than chance expectations. In light of this confusion, this paper takes a different approach to the subject by focusing on the rationale and modus operandi of graphology. When we take a closer look at the academic literature, we note that there is no discussion of the actual rules by which graphologists make their assessments of personality from handwriting samples. Examination of these rules reveals a practice founded upon analogy, symbolism, and metaphor in the absence of empirical studies that have established the associations between particular features of handwriting and personality traits proposed by graphologists. These rules guide both popular graphology and that practiced by professional graphologists in personnel selection.

Mol2vec: Unsupervised Machine Learning Approach with Chemical Intuition

2017 ◽  
Author(s):  
Sabrina Jaeger ◽  
Simone Fulle ◽  
Samo Turk
Keyword(s):  
Machine Learning ◽  
Language Processing ◽  
Supervised Machine Learning ◽  
Learning Approach ◽  
Learning Approaches ◽  
Unsupervised Machine Learning ◽  
Feature Representations ◽  
Machine Learning Approach ◽  
The Individual ◽  
Vector Representations

Inspired by natural language processing techniques we here introduce Mol2vec which is an unsupervised machine learning approach to learn vector representations of molecular substructures. Similarly, to the Word2vec models where vectors of closely related words are in close proximity in the vector space, Mol2vec learns vector representations of molecular substructures that are pointing in similar directions for chemically related substructures. Compounds can finally be encoded as vectors by summing up vectors of the individual substructures and, for instance, feed into supervised machine learning approaches to predict compound properties. The underlying substructure vector embeddings are obtained by training an unsupervised machine learning approach on a so-called corpus of compounds that consists of all available chemical matter. The resulting Mol2vec model is pre-trained once, yields dense vector representations and overcomes drawbacks of common compound feature representations such as sparseness and bit collisions. The prediction capabilities are demonstrated on several compound property and bioactivity data sets and compared with results obtained for Morgan fingerprints as reference compound representation. Mol2vec can be easily combined with ProtVec, which employs the same Word2vec concept on protein sequences, resulting in a proteochemometric approach that is alignment independent and can be thus also easily used for proteins with low sequence similarities.

Molecular Modeling as the Spark for Active Learning Approaches for Interdisciplinary Biology Teaching

2018 ◽  
Author(s):  
Antoine Taly ◽  
Francesco Nitti ◽  
Marc Baaden ◽  
samuela pasquali
Keyword(s):  
High School ◽  
High School Students ◽  
Molecular Modeling ◽  
Active Learning ◽  
Computer Science ◽  
Poster Presentation ◽  
Learning Approaches ◽  
School Students ◽  
The Subject ◽  
The Origin Of Life

<div>We present here an interdisciplinary workshop on the subject of biomolecules offered to undergraduate and high-school students with the aim of boosting their interest toward all areas of science contributing to the study of life. The workshop involves Mathematics, Physics, Chemistry, Computer Science and Biology. Based on our own areas of research, molecular modeling is chosen as central axis as it involves all disciplines. In order to provide a strong biological motivation for the study of the dynamics of biomolecules, the theme of the workshop is the origin of life. </div><div>All sessions are built around active pedagogies, including games, and a final poster presentation.</div>

Peningkatan aktivitas belajar akidah akhlak melalui pendekatan pembelajaran berbasis masalah

2016 ◽  
Vol 1 (1) ◽  
pp. 42
Author(s):  
Mursalim Mursalim
Keyword(s):  
Action Research ◽  
Action Observation ◽  
Problem Based Learning ◽  
Learning Approach ◽  
Student Activity ◽  
The Third ◽  
Field Note ◽  
The Subject ◽  
Classroom Action Research ◽  
Planning Action

Abstrak Penelitian ini bertujuan untuk mengetahui peningkatan aktivitas siswa dalam pembelajaran Akidah Akhlak melalui Pembelajaran Berbasis Masalah di kelas IX E MTsN Olak Kemang Kota Jambi. Penelitian ini adalah Penelitian Tindakan Kelas yang dilakukan dua siklus yang terdiri dari: perencanaan, tindakan, pengamatan dan refleksi. Subjek penelitian ini adalah 32 siswa kelas IX E MTsN Olak Kemang Jambi. Data penelitian dikumpulkan dengan lembar observasi dan catatan lapangan. Data dianalisis secara deskriptif. Dari hasil penelitian ini diketahui bahwa pembelajaran akidah akhlak dengan pembelajaran berbasis masalah dapat meningkatkan aktivitas belajar di kelas IX E MTsN Olak Kemang Kota Jambi. Hasil analisis data menunjukan bahwa terjadi peningkatan aktivitas belajar siswa untuk setiap indikator yang diteliti. Peningkatan aktivitas siswa yang dimaksud adalah terjadinya peningkatan aktivitas siswa selama proses pembelajaran berlangsung. Siswa aktif merespon pertanyaan guru, mengemukakan alasan, menjelaskan kepada teman, mempresentasikan hasil diskusi kelompok dan membuat kesimpulan Kata Kunci: Aktivitas Siswa, Pembelajaran Berbasis Masalah, Akidah Akhlak Abstract [Tittle: Improving Student’ Activity In Akidah Akhlak Course Through Problem Based Learning Approach]. This research was aimed to improve students’ activity in Akidah Akhlak through Problem Based Learning (PBL)at MTsN Olak Kemang Jambi city.This was a classroom action research which was conducted in two cycles in which each cycle consisted of planning, action, observation and reflection. The subject of this research was the third year students of MTsN Olak Kemang Jambi that consisted of 32 students. In collecting the data, the researcher used observation sheet and field note. The data then was analyzed descriptively.The result of the research showed that the use of PBL approach could improve students’ activity in Akidah Akhlak at MTsN Olak Kemang Jambi. After applying PBL approach, the students had a willingness to answer teacher’s questions, give opinions and plain them to the peers, present the result of the discussion and take conclusion. Keyword: Students’ Activity, Problem Based Learning (PBL), Akidah Akhlak

Predictors of remission from body dysmorphic disorder after internet-delivered cognitive behavior therapy: a machine learning approach

2019 ◽  
Author(s):  
Oskar Flygare ◽  
Jesper Enander ◽  
Erik Andersson ◽  
Brjánn Ljótsson ◽  
Volen Z Ivanov ◽  
...  
Keyword(s):  
Machine Learning ◽  
Logistic Regression ◽  
Random Forests ◽  
Clinical Utility ◽  
Body Dysmorphic Disorder ◽  
Prediction Models ◽  
Behavioral Therapy ◽  
Learning Approach ◽  
Learning Approaches ◽  
Machine Learning Approach

**Background:** Previous attempts to identify predictors of treatment outcomes in body dysmorphic disorder (BDD) have yielded inconsistent findings. One way to increase precision and clinical utility could be to use machine learning methods, which can incorporate multiple non-linear associations in prediction models. **Methods:** This study used a random forests machine learning approach to test if it is possible to reliably predict remission from BDD in a sample of 88 individuals that had received internet-delivered cognitive behavioral therapy for BDD. The random forest models were compared to traditional logistic regression analyses. **Results:** Random forests correctly identified 78% of participants as remitters or non-remitters at post-treatment. The accuracy of prediction was lower in subsequent follow-ups (68%, 66% and 61% correctly classified at 3-, 12- and 24-month follow-ups, respectively). Depressive symptoms, treatment credibility, working alliance, and initial severity of BDD were among the most important predictors at the beginning of treatment. By contrast, the logistic regression models did not identify consistent and strong predictors of remission from BDD. **Conclusions:** The results provide initial support for the clinical utility of machine learning approaches in the prediction of outcomes of patients with BDD. **Trial registration:** ClinicalTrials.gov ID: NCT02010619.

scholarly journals Colour Me Blue: The History and the Biotechnological Potential of Pyocyanin

Molecules ◽  
2021 ◽  
Vol 26 (4) ◽  
pp. 927
Author(s):  
Thiago Gonçalves ◽  
Ulrich Vasconcelos
Keyword(s):  
Pseudomonas Aeruginosa ◽  
Antibiotic Therapy ◽  
Electric Current ◽  
Antimicrobial Therapy ◽  
Blue Colour ◽  
Current Generation ◽  
Biotechnological Potential ◽  
Avant Garde ◽  
New Horizons ◽  
The Subject

Pyocyanin was the first natural phenazine described. The molecule is synthesized by about 95% of the strains of Pseudomonas aeruginosa. From discovery up to now, pyocyanin has been characterised by a very rich and avant-garde history, which includes its use in antimicrobial therapy, even before the discovery of penicillin opened the era of antibiotic therapy, as well as its use in electric current generation. Exhibiting an exuberant blue colour and being easy to obtain, this pigment is the subject of the present review, aiming to narrate its history as well as to unveil its mechanisms and suggest new horizons for applications in different areas of engineering, biology and biotechnology.

scholarly journals Mechatronics: Experiential Learning and the Stimulation of Thinking Skills

2021 ◽  
Vol 11 (2) ◽  
pp. 46
Author(s):  
Maki K. Habib ◽  
Fusaomi Nagata ◽  
Keigo Watanabe
Keyword(s):  
Critical Thinking ◽  
Experiential Learning ◽  
Learning Process ◽  
Laboratory Experiments ◽  
Thinking Skills ◽  
Project Based Learning ◽  
Critical Thinking Skills ◽  
Learning Approach ◽  
Learning Approaches ◽  
Experimental Systems

The development of experiential learning methodologies is gaining attention, due to its contributions to enhancing education quality. It focuses on developing competencies, and build-up added values, such as creative and critical thinking skills, with the aim of improving the quality of learning. The interdisciplinary mechatronics field accommodates a coherent interactive concurrent design process that facilitates innovation and develops the desired skills by adopting experiential learning approaches. This educational learning process is motivated by implementation, assessment, and reflections. This requires synergizing cognition, perception, and behavior with experience sharing and evaluation. Furthermore, it is supported by knowledge accumulation. The learning process with active student’s engagement (participation and investigation) is integrated with experimental systems that are developed to facilitate experiential learning supported by properly designed lectures, laboratory experiments, and integrated with course projects. This paper aims to enhance education, learning quality, and contribute to the learning process, while stimulating creative and critical thinking skills. The paper has adopted a student-centered learning approach and focuses on developing training tools to improve the hands-on experience and integrate it with project-based learning. The developed experimental systems have their learning indicators where students acquire knowledge and learn the target skills through involvement in the process. This is inspired by collaborative knowledge sharing, brainstorming, and interactive discussions. The learning outcomes from lectures and laboratory experiments are synergized with the project-based learning approach to yield the desired promising results and exhibit the value of learning. The effectiveness of the developed experimental systems along with the adopted project-based learning approach is demonstrated and evaluated during laboratory sessions supporting different courses at Sanyo-Onoda City University, Yamaguchi, Japan, and at the American University in Cairo.

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