Calling for Papers VIS2020 IEEE Conference on Visual Analytics Science and Technology (VAST)

The IEEE Conference on Visual Analytics Science and Technology (VAST) is one of the three parts of VIS2020. 

Abstract Submission Deadline 20 April 2020.
Paper Submission Deadline 30 April 2020

VAST solicits original research papers on a set of diverse topics related to visual analytics. These papers may contribute towards new methods for human-in-the-loop computation; visualization and interaction techniques; representation of data and knowledge; models of analytical reasoning and discourse; and applications and systems of visual analytics to a broad range real-world contexts and domains.

  • TVCG Track: Papers that exhibit the highest quality in terms of originality, rigor and significance will appear in a special issue of IEEE Transactions on Visualization and Computer Graphics (TVCG). The acceptance rate is anticipated to be similar to that of past years (around 22%-25%), subject to the decisions resulting from the review process. After initial notification of review results, conditionally accepted papers (including supplemental material) will undergo a revision and review cycle in order to ensure that they are acceptable for publication and presentation in the journal. The paper and supplemental material will also be submitted to the IEEE Digital Library, subject to its standard terms and conditions.
  • Conference-only Track:Top quality and timely, innovative VAST submissions may be accepted for the conference-only track. Those papers, which feature new contributions, will be presented as Conference Papers during IEEE VAST, and will be included on the IEEE VIS USB Proceedings. After initial notification of review results, conditionally accepted papers (including supplemental material) will undergo a revision and approval cycle. The paper and supplemental material will be submitted to the IEEE Digital Library subject to its standard terms and conditions.

Research contributions are welcomed across a range of topics including, but not limited to:

  • Individual and collaborative reasoning including cognition and perception, analytic discourse, knowledge discovery, creativity and expertise, and operational, ethical, and value-based decision-making using interactive visualization systems.
  • Integration of data analysis, interaction, and visualization, including the use of machine learning, artificial intelligence, and deep learning techniques to support interactive analysis.
  • Visual representations and interaction techniques including the principles for depicting information, new visual paradigms, statistical graphics, geospatial visualizations, the science of interaction, and approaches for generating visual analytic visualization and interactions.
  • Data management and knowledge representation including scalable data representations for high volume and stream data, statistical and semantic signatures, and synthesis of information from diverse data sources.
  • Presentation, production, and dissemination methods including methods and tools for capturing the analytics process, methods for elicitation of stakeholder constraints, priorities & processes for incorporation in analysis, and storytelling for specific and varying audiences.
  • Applications of visual analysis techniques, including but not limited to applications in science, engineering, humanities, business, public safety, commerce, and logistics as far as they contribute to visual analytics are of particular interest.
  • Explainable AI and trust in machine learning and automation, including the design and use of novel visual and interactive techniques that help users to understand, appropriately trust, and effectively manage artificially intelligent machine partners
  • Evaluation methods, including ethical analysis, privacy, security, & regulatory compliance, interoperability, and application practice & experience.
  • Devices and technologies which are fundamental for visual analytics, including user and device adaptivity, web interfaces and mobile or other novel devices.

Calling for Papers: IIC 2020 – International Conference on Intelligent and Interactive Computing

IIC 2020 (November 4-5 2020) –

3rd International Conference on Intelligent and Interactive Computing (IIC 2020) will be held in Melaka, Malaysia on November 4-5, 2020.

Paper submission : June 5, 2020
Notification of acceptance : August 5, 2020
Camera ready : September 15, 2020
Conference Dates : November 4-5, 2020

All accepted papers will be published in International Journal of Advanced Trends in Computer Science and Engineering (IJATCSE), indexed by SCOPUS.Furthermore, author(s) of selected accepted papers will be invited to submit an extended version of their papers to Springer Book Series.

Topics of interest for submission include, but not limited to:
• Computational Intelligence
• Multimedia and Immersive Technologies
• Biological Computing
• Data Analytics
• Robotic and Automation
• Education 4.0


How to write Good Journal

Hands on Journal Publication Workshop with Chief Editor

Hands on Journal Publication Workshop

If your research is not published in a journal it does not exist – it must be possible to find it because your paper is your passport to the community. There are 3 necessary steps in useful research:

  1. First is to begin with it
  2. Second is to end with it
  3. Third is to publish it

Review article (chapter 2)
Critical synthesis of a specific research topic –  8000-12,000 words

Original article 
Disseminating completed research findings – 6000 – 8000 words with references. Choose the appropriate journal to build a scientific research career

TOC in Original Article

1. Title – must be catchy & spicy. Be honest & concise. the content must at par with the tittle. Make sure cover all the keyword. Less than 15 words.
2. Abstract – no technical jargon, standalone,  4W1H.
3. Keyword – repeatitive of the words so the manuscript to be easily found online and cited. should be specific, avoid uncommon abbrevieations and general terms. more than 85 repeatition should be keyword.  the journal appointed reviewer based on the keywords. Not more than 5 keywords and abbs the establish one.

3. Introduction – the most difficult.

i  Start by general aspect then go down to specific to your research.
ii. Flow must consistent between paragraph.
iii. Must have Statements that indicate the need for more investigation.
iv. Introduction should start with the problem in that case.

4. Study area/background (easy)

5. Methods (easy)

6. Results (easy-just the facts)

7. Discussion (second most difficult) – good paper will have good discussion.

8. Conclusions (what have done in your study) – easy. Avoid repeatition with other sections, overly speculative.

9. Acknowledgements – anyone who helped you, sources of funding. e.g. grant or reference numbers.

10. Figure 5-6 and tables 4 is appropriate. Dont put too many in one paper.

Level of difficulty

  1. Conference
  2. Non-indexed journal
  3. Indexed Journal
    1. A journal is indexed when its bibliographic and citation information is included by the citation data supplier – set turnitin similarity indexed to 0 ( I dont understand, need to check with Librarian).
    2. Overlapped with
    3. Impact factor is an annual measure of the extent to which articles in that journal are cited.  It can be calculated as follows:
    4. Research Uni – ISI (Web of Science) and Scopus.
      1. ISI founded in 1960 and becoming WoS

Criteria for choosing a journal

  1. Scope of journal
  2. Indexing
  3. Impact factor (IF)
    1. number of citations that articles in the journal have received within a specific time.
      5 year impact factor=IF in five years(sum of citations in 5 years/articles published in five years)
      yearly IF= IF in one year.
  4. Journal ranking
    1. Q1 & Q2 – highest quality paper
  5. Publication frequency
  6. Time to publish.

Tips to publish

  1. Journal selection Process
    1. Target 3-5 possible journal
    2. Choose the journal that matches the quality of journal
    3. Factors to consider – scope of journal, journal indexing database.

e.g. IEEE, Elsevier – high rank & top view

  1. – 
    1. Enter title and abstract of your paper to easily find journals that could be best suited for publishing. JournalFinder uses smart search technology and field-of-research specific vocabularies to match your paper to scientific journals.
  2. Most downloaded papers – use it in your journal references.
  3. How to increase the visibility – Publish papers in somewhere pay (elsevier, IEEE) then put into researchgate so people can easily download without pay.
  4. Enhance your writing by:
    1. Critical review for thesis chapter 2 (LR)
    2. Finding the Gap of the study
    3. Novelty of the study
    4. Build an expertise area.
  5. Submitting the paper – traditional submission (email) via a journal online submission – include the cover letter (very important) – contain authors’ rationale.
    1. Cover letter is important. Example of cover letter:
    2. for choosing the editors’s journal. The letter can suggest reviewer.
  6. The peer review process – Editors to the reviewers to review. Then the reviewer will recommend – reject, revise, accept. Managing editor – involve in clerical and administrative detail in the review process. Makes some preliminary decisions.
  7. Initial screening – language, content.
  8. Review process from 1 hr to 6 months. 1-4 reviewers along with editorial comments. Proof preparation for checking by authors. In press/queue/article in press.
  9. Reviewers comment – after taking the considerations matter above – publish or reject!
  10. Some of the good criteria – title must be good, then get unique methods or result is something interesting, new and novelty idea.
  11. Addressing reviewers comment
    1. not being out rightly rejected
    2. make sure address everything
    3. If it is rejected – at least give some feedback

Social Network for Academic

  1. Research gate
  2. Academia Ed
  3. ORCID
  4. Google scholar
  5. Scopus profile Rdsearch ID profile
  6. Pubfacts profile
  7. Publons profile

Credible Journal for Visualization

  1. Journal of Visualization (Springer, If: 0.97)
  • Visual data acquisition and modelling
  • Visualization and visual analysis
  • Expressive rendering
  • Augmented reality
  • Natural interface based on visual perception
  1. Information Visualization journal
  • Scopus – IF 0.923
  • The scope of the journal includes, but is not limited to:
  • Design theories and methodologies
  • Applications and case studies
  • Perception and cognitive factors
  • Evaluation and usability studies
  • Interactive data exploration
  • Standards and visualization languages
  • Multidimensional and multivariate analysis
  • Knowledge discovery and visual data mining
  • Requirement engineering and task analysis
  • Visual Analytics
    • IEEE Vis conference : Its the principal conference on computational methods for data visualization, and it is subdivided intro three sub-conferences :
      1. Conference on Visual Analytics Science & Technology (VAST)
      2. Conference on Information Visualization (InfoVis)
  • Conference on Scientific Visualization (SciVis)

8.  International Visual Informatics Conference 2019 (IVIC ’19)

See the collective work of the Management Visualization Society at

List of Scopus Indexed for ICT related Journal

From ICSITECH 2018

Will update from time to time

Indexed Journal 2018

  1. IJASCA (Scopus Indexed) FREE

IJASCA is a peer-reviewed journal, published three times a year that publishes articles which contribute in all areas of Advances in Soft Computing.

The aim of this journal is to provide a lively forum for the communication of original research papers and timely review articles on Advances in Soft Computing and Its Applications. IJASCA will publish only articles of the highest quality. Submissions will be evaluated on their originality and significance. IJASCA invites submissions in all areas of Soft Computing and Its Applications.

The scope of the journal includes, but is not limited to:

√       Soft Computing Fundamental and Optimization

√       Soft Computing for Big Data Era

√       GPU Computing for Machine Learning

√       Soft Computing Modeling for Perception and Spiritual Intelligence

√       Soft Computing and Agents Technology

√       Soft Computing in Computer Graphics

√       Soft Computing and Pattern Recognition

√       Soft Computing in Biomimetic Pattern Recognition

√       Data mining for Social Network Data

√       Spatial Data Mining & Information Retrieval

√       Intelligent Software Agent Systems and Architectures

√       Advanced Soft Computing and Multi-Objective Evolutionary Computation

√       Perception-Based Intelligent Decision Systems

√       Spiritual-Based Intelligent Systems

√       Soft Computing in Industry ApplicationsOther issues related to the Advances of Soft     Computing in various applications.


2. The International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI) – ISI Indexed FREE

Topics covered by IJIMAI include but are not limited to:

Artificial Intelligence

  • AI and Multimedia techniques for enhanced accesibility systems.
  • AI in Games.
  • AI for Software Engineering.
  • AI for Ubiquitous Computing.
  • AI for Web Intelligence Applications.
  • AI Parallel Processing Tools (hardware/software).
  • AI Tools for CAD and VLSI
  • AI Tools for Computer Vision and Speech Understanding.
  • AI Tools for Multimedia, Cognitive Informatics.
  • AI components for Service Oriented Arquitectures (SOA).
  • Neural Networks for AI.
  • Fuzzy logic systems.
  • Case base reasoning systems.
  • Heuristic and AI Planning Strategies and Tools,
  • Natural Language Understanding.

Soft Computing: Foundations, Methodologies and Management

  • Computer Networks.
  • Fuzzy Logic.
  • Domain Theory and tyoe theory.
  • Pattern Recognition.
  • Robotics.
  • Web Intelligence.

Data Mining and Knowledge Management

  • Knowledge-Based/Expert Systems.
  • Knowledge Management and Processing Tools.
  • Knowledge Representation Languages.
  • Data Mining and Machine Learning Tools.

Semantic Web, Web Services an Networks

  • Semantic Web.
  • Semantic Reasoners.
  • Semantic web services.
  • Upper ontologies.

Interactive Multimedia

  • Visual Perception.
  • Analysis/Design/Testing.
  • Social networks.
  • Human Computer Interactions
  • User Experience

3. 4th Visual Informatics International Seminar 2018 – Selected papers to Scopus Journal RM700

“Digital Transformation Landscape in the Fourth Industrial Revolution (4IR)” to cater the current needs on visual informatics in various research areas and industries. 2nd July 2018

4. Journal of Fundamental and Applied Sciences (JFAS) – ISI Indexed Free

It covers a wide range of academic disciplines, mainly:

  • Sciences of matter,
  • Engineering sciences,
  • Life sciences,
  • Medicine, Dentistry, Pharmacy, and Health Sciences,

Conference and Journal Outlets for 2018

Good Conference for 2018

Bil Conferences Submission deadline
4th International Workshop on Big Data Analytics 2018
24-25th July 2018

Hotel Jen Puteri Harbour, Johor Baharu

All accepted paper to IJACSA Journal 

30th May 2018 (second v3 IJACSA)

The 3rd International Conference of Reliable Information and Communication Technology
23-24 July 2018
Equatorial Bangi


1 April 2018
3 MySEC 2018
Malaysian Software Engineering Conference
7-8 August 2018
Waterfront Hotel, Kuching


1 April 2018
4 IIC2018

International Conference on Intelligence and Interactive Computing – Towards Industrial Revolution
8-9 August 2018
RM 1500 (normal), RM 1300 (student)
All accepted papers will be published in Springer AISC Series and will be indexed in ISI Proceedings. EI-Compendex, DBLB, SCOPUS, Google Scholar and Springerlink. All papers presented during the conference will have the opportunity to be considered for publication in the following journals. Those that are considered to be appropriate for publication after peer review will be published for free of charge.

  1. Journal of Telecommunication, Electronic and Computer Engineering (JTEC)-scopus index
  2. Journal of Advanced Manufacturing Technology (JAMT)- scopus index
  3. International Journal of Synthetic Emotions (IJSE) – DBLP and ACM-DL
  4. Journal of Universal Computer Science (J.UCS) – scopus index



30 May 2018

International Conference on Innovations in Computer Science and Engineering
RM 1900
30 – 31 July 2018 in Kuching, Sarawak Malaysia.

All accepted papers will be published in the Journal of Telecommunication, Electronic and Computer Engineering (JTEC) Scopus-indexed journal.

 30th April 2018
Knowledge Management International Conference




9 ICEECC (UTM Faculty)
10 IVIC 2019

International Visual Informatics Conference

11 VIIS 2018
Digital Transformation Landscape in the Fourth Industrial Revolution (4IR)
13-15 November 2018

(RM 750)
Seminar Paper – only selected to scopus journal

2 July 2018

Seminar on HOTS (Kemahiran Berfikir Aras Tinggi – KBAT) and 21st Century Pedagogy

Seminar on HOTS and 21st Century Pedagogy – 3 March 2018 (UKM)

UM – Continuity Learning Center – Dr Zahari Othman (zahari_maths@yahoo.ocm), Profesor Imeritus Ishak Harun (Pedagogy KBAT).

1.    Diantara peserta kursus

  • Cikgu Saravanan – Seri Cahaya Shah Alam (11 tahun – math & add math tingkatan 4-5) – exam papers.
  • Cikgu Saraswati – Seri Cahaya Shah Alam (11 tahun – math & add math tingkatan 4-5) – dah guna lama konsep HOTS but not called it HOTS
  • Cikgu Nur – Seri Cahaya Shah Alam (11 tahun – bahasa tingkatan 5) – dah guna lama konsep HOTS but not called it HOT. Cuma bagaimana untuk implementasi dalam kelas.
  • Cikgu Nur – Seri Cahaya Shah Alam (11 tahun – kimia tingkatan 5) – dah guna lama konsep HOTS but not called it HOT. Students tak tau yang diajar ialah HOTS
  • Pondok Moden – Matematik Moden Tingkatan 4. Nak belajar bagaimana untuk implement dalam kelas.
  • Pn Azizah – Problem Solving. Metacognition of visual thinking. Thinking Block – Under Prof Dr Rohani UPM. Page – math as easy as 123.
    • Kenapa nitrogen 70% and oksigen 30%
    • -x- kenapa positif.

2.    Perkongsian daripada kursus

  • Lelaki mempunyai lemak yang kurang dipunggung berbanding perempuan. Sebab tu lelaki perlu bergerak hanya setelah 10-15 minit duduk
  • Budak lelaki tak suka warna oren
  • Now we are not managing the knowledge but managing the manager of knowledge – Tony Buzan
  • Fakta + Maklumat = Pengetahuan
  • Pengetahuan + thinking = ilmu.
  • Pelajar yang bagus (kebanyakan daripada sekolah kawalan + berprestasi tinggi) – only good for themselves. Because they have been drilling. Without understand the process (how) and why.
  • 4K+1N = kreatif, kritis, komunikasi, kolaboratif dan Nilai&etika mengikut acuan Malaysia.
  • Boarding school – ramai yang dapat A. Then bila diperkenalkan HOTS, maka kurang A. This is because they are go for drilling. Parents enforce for A and they got it because they do routine. But no lifeskills. Latih tubi asalnya daripada eksperimen haiwan –
  • No correlation between IQ and thinking.
  • KBAT ialah:
    • Soalan tidak berulang
    • Ada elemen jika – ?
  • Tidak semestinya ilmu itu diperolehi step by step ikut level taksonomi bloom. Ambil panduan sahaja – jangan rigid ikut step by step
  • Content and context – mana nak tekan? Guna context untuk tolong pelajar faham content. Contoh -3+2. Suruh pelajar gerak guna step.
  • Pedagogical Approach – problem solving.
  • I-think ialah KBAT. This is errors in thinking! I-Think consultation untuk 8 mindmap bayar 20 juta.
  • KPM terlalu bergantung pada McKenzie and UK Consultant – Harley (2011-2014). Bagi masa 5 hari
  • SISC – memantau semua mata pelajaran dan membimbing guru-guru terutamanya bagi sekolah berprestasi rendah (School Improvement Specialist Coaches) – under PPD dan PADU.
    • Buang VLE Frog, ithink, traffic light
  • Banyak intellectual arrogance yang menyebabkan rosak & benda tak jalan.

3.    Masalah untuk memupuk HOTS

3.1.           Cikgu dan budak diajar mengikut frame. 

  • Contoh; 1+1 = 2. Semua mesti ikut acuan
  • Tanpa mencari sebab (alasan-why) dan
  • Tanpa Bagaimana (how) untuk bergerak lebih ke depan
  • Proses tidak diajar – bila tahu proses baru pelajar tahu bagaimana untuk memperbaiki.

3.2.           Guru kurang menyoal

  • Menyoal hanya pada level asas.
  • Guru keliru antara buat soalan KBAT dengan mengajar pemikiran KBAT

3.3.           Guru tak ikut murid

  • KSSR guru ajar ikut subjek.
  • KBSR dulu ikut murid. Jadi cikgu boleh faham setiap pelajar dengan lebih baik.

3.4.           Masalah utama pelajar Malaysia belajar fizik:

  • Terlalu banyak drilling sehingga mislead concept – misconception terhadap subjek.
  • Tidak bertanggungjawab terhadap ilmu. Sibuk nak dapat jawapan sampai kalau boleh nak dapat skema – nak tunjuk kepada ibubapa.
  • Pengalaman salah – buat semantic (relationship) kabur kerana episodic (chunking).
  • Enhance passion bila interest rendah. Contoh; bagi ultraman (interest) untuk ajar pasal letup bangunan – gabungan afektif, cognitive and psikomotor.

4.    Culture of Thinking – Project Zero Harvard

4.1.           Thinking routine – towards culture of thinking – Habits of Thinking

  • What is thinking routine – 5 buah sekolah jadikan naka angkat culture of thinking.
    • Train cikgu 21st centry learning
    • Train budak-budak buat problem solving – thinking based learning dalam setiap subject

4.2.           Key persons in this field

  • Dr Amin Senin – nak buang ranking sekolah kerana nak ubah mindset.
  • Ron Ritchard
  • David Perkins – Problem Solving & Maths & AI
  • George Polyar – Stamford College – Corporate Sponsor 250K for 3 months course. Bukak NCTM (National Counsel….) untuk menyambung kerja-kerja Georga Polyar
  • Robert Swortz – from university of Masachussets – initial the idea of Thinking Based Learning

4.3.           Habit of thinking – by Art Costa.

  • Menjadi pencetus pemikiran – how to think better, how to think skillfully
  • 2 types of thinking
    • LOT – Lower order thinking – belajar melalui pengalaman. Tak payah train since semua orang boleh berfikir secara LOT. Contoh: Ini ialah RM10 – belajar 5 ringgit dan mesti bawak balik bakinya.
    • HOT – Higher Order Thinking – skills berfikir. Boleh diajar dan kena ajar mereka berfikir. Contoh: Ini ialah RM10 – tolong beli 3 jenis makanan berkhasiat dan kemudian bagitau apakah khasiat satunya.
  • Akademik di universiti lebih kepada content berbanding context. Contoh; electrical then only focus about electrical – kebanyakan academician tidak bergerak kerana focus hanya kepada content.



  • Kenapa belajar; to advance the state of the art. To improve kerja yang sedia ada. Sekiranya tidak berfikir sebegini – maka lepas habis PhD – buang semua pemikiran yang ada.
  • Ilmu ada element of metaphysics – beyond otak dan akal – iaitu philosophy (tasawuf). Kebanyakan orang islam sekarang caca marba kerana buang philosophy dalam keilmuan. Epistemology – asal usul ilmu. Bagaimana tercetusnya idea untuk munculnya sesuatu ilmu (e.g. punca kuasa dua punca daripada mana? Bagaimana -3 + 1 = -2?. German umur 10 tahun dah perkenalkan philosohy – sebab tu boleh hasilkan sesuatu yang hebat).

Akal -> thinking -> philosophy

  • Ilmu (knowledge) ialah:
    1. Content
    2. Pedagogi + 21st century.
  • Akhlak
  1. Iman
  2. Untuk menebarkan kebaikan sebagai pengabdian kepada Allah (taqwa). Since the source of knowledge is god. Niat untuk menjadi educator lillahitaala seperti Luqmanul Hakim. Sentiasa bersemangat untuk belajar.
  • Ilmu diperolehi melalui:
    1. Induktif thinking
    2. Ilham
  • Analogy reasoning (ilmu perbandingan – psikologi) – setiap murid perlu ada satu buku khas – compare current problem dengan apa yang telah mereka lalui sebelum ini.

5.2.           Pendidikan

  • Pendidikan mengikut Islam – membangun manusia yang beradab. Pendidikan ialah untuk melahirkan generasi yang dapat meningkatkan adab. Kira hilangnya adab maka lompanglah Pendidikan. Iaitu adab dengan:
    1. Dirinya sendiri – menggunakan ilmu untuk mengatasi nafsu. E.g. merempit, dadah, buang anak (terkekang Syariah – e.g. 5k & 5 tahun penjara).
    2. Masyarakat. E.g. pecah amanah, rasuah, tidak adil. Now is semakin ramai scholars Islamic tetapi semakin kronik penyakit social – lantaran error of knowledge. Ngap sahaja anything that can make money.
  • Persekitaran – buang sampah merata-rata, Korea dan Jepun lebih amanah. E.g.
  1. Ilmu – sekiranya dia seorang ahli akademik – bagi pelajar A dalam keadaan yang rapuh – tidak pemahaman yang kukuh terhadap ilmu. A hanya dengan latih tubi is no no no
  • Adab akan membentuk generasi yang ada pendidikan dan berilmu.
  • Pendidikan ialah teaching for understanding

5.3.           21st Century learning

  • 4K+1N – package evertything dalam pedagogy 21st Century Learning.
  • Gist – emphasize on visible thinking
    • Making awareness (metacognition), they know intention.
    • Making content knowledge visible to learners
    • Making teachers’ thinking visible to learnners
    • Making leaarners’s thinking visisible to themselves , their peers and the teacher
  • In the 22st century, the knowledge to confront new ways at looking at knolwedge.
  • Good pedagogy is about making studnet’s thinking visible need:
    • PS – Problem Solving
    • TBL – Team based Learning
    • TR – Thinking Routine

6.   Thinking

  • Akal -> thinking -> philosophy
  • What is thinking – thinking is to find as much data/information
  1. Find information – dapatkan sebanyak mungkin information. E.g. talk about whiteboard – then, lets them speak. Or, try to identify how many triangle in this big triangle?
    • Gather information – > Classify data -> Observation
      1. To solve the problem
      2. Identify the basic elements within the situation – triangle
  • Then classify the basic elements – small, big and medium triangle
  1. Lastly baru kira
  • Analysis
    1. Lookig at the dots and find meaningful relationship
  1. Pattern spotting
  • To Find implicit and important data/informaton

6.1.           Critical Thinking

  • The most important thing about critical is EVALUATING.
  • Then to evaluate, they need to analyze.

6.2.           Mathematical thinking

  1. Inductive reasoning- observation of data.
  2. Deductive reasoning
  3. Analogic reasoning

6.3.           Process of inductive reasoning (contoh from Prof Dr Zahari is about mengurat his younger wife)

  1. Observation of data
  2. Observe relationship between data
  • Looking for pattern
  1. Simplication of data
  2. Generalization – inductive generalization –
  3. Probable – calon
  • A need for proof example through –
  • Intellectual courage – to propose

6.4.           Deductive reasoning

6.5.           Analogical reasoning


Merge PS + TBL

7.1.           Latih student buat analisis

  • Compare & Constrast
  • Analyze and Evaluate

7.2.           Teaching for thinking (modules)

Tak berkesan sebab methods ni tak visible to student.

7.3.           Teaching Based Learning – using Infusion of critical and creative thinking into content instruction

Teknik ni bagus berkesan untuk TBL

Ini ialah contoh infusion thinking dalam content

  • Ini ialah basic elements
  • Ajar critical thinking step per step – then as general – this is analysis
  • Do you like the way we solve the sittuation?

In case students tak boleh nak selesaikan masalah di atas, sebenarnya students kurang maklumat dan skill menganalisis masalah. Contoh, daripada soalan di bawah, cuba cari sebanyak information yang dia boleh daripdaa keadaan tersebut dan perlu latih mereka tentang skill menganalisis

7.4.           Collaborative Learning

8. Thinking Routine

8.1. Compare & contrast –

Identify the significant similarities & differences. Contoh apa beza antara ayam dan itik?

  1. Apakah Similarities?
  • Keduanya-duanya haiwan
  • Ada mata
  • Ada 2 kaki
  1. Apakah perbezaan di antara keduanya?
  • Itik ada bulu pelepah sementara ayam bulu sikit saja
  • Kaki itik bersambung sementara kaki ayam boleh cakar

iii. Bagi trend dan analisis –

  • Basic elements – anggota badan, bulu, kaki,
  • See the relationship between the basic elements
  1. Berikan kesimpulannya? – encourage divergent conclusion
  2. Kemudian tulis esei daripada semua keadaan di atas (i-iv).

Masukkan component asas language seperti grammar, kamus,

  1. Bagi hypotetical – what if
  • Contoh; what is sekiranya ayam dan itik ini diberi akal – apa jadi?

8.2. Determining parts-whole relationship

  1. Details – smaller part
  • then ask what happen if this part is missing. E.g. what happen if the eyes is missing – dont straight away ask the function.
  • Then ask what happen, if we change one part – if give impact to the wholism? Or what is the impact to the other part
  • Then ask, what if the function for each part?
  • How do the parts work together to make the whole what it is or operate as it does.


  1. Definisi ialah lebih kepada proses dan sabar. Definisi SISC tentang KBAT:
  • Pentadbiran – PIBK – Persatuan Ibu Bapa dan Komuniti – bagaimana dia membina hubungan dengan pihak luar untuk manage sekolah. Betapa pentingnya PIBK.
  • Ko-kurikulum – as simple as kalau takde camping, bagaimana untuk pelajar teruskan camping?
  • PBC – membangunkan sekolah

2.Component of HOTS:

  1. Philosophy
    1. Apakah filosofi
      • Kesan/akibat daripada sesuatu keadaan
      • Drilling asal usul (ontology) sehingga kepada kewujudan (epistemology) sesuatu ilmu
      • About truth, values and ethics.
      • Cuba google – philosohpy for children (P4C)
  • Berkait rapat dengan kebijaksanaan.
  • Bermula abad 14 – filosofi diabaikan dalam ilmu islam. Then barat ambil ilmu ini dan dibela bermula daripada abad ke-16.
  1. Cara mengajar filosofi
    • Try to compare and contrast – bandingkan antara 2 kapal… then compare keadaan kapal kepada diri sendiri (this is what I want to do on engagement elements of goblin into engagement element when you represent the information)
    • Contoh: apa pandangan kamu tentang keadilan. Apa yang kamu rasa adil atau tidak adil?
  2. Humanity
  • German tak masuk dalam ranking.  It is about how much my people gain from the university – intellectual
  1. Cognitive
    • Elements dalam Cognitive
      • critical
      • logical
      • reflective – think pair share – encouraging reflection.
      • Metacognitive (is the awareness of one own cognition) – apa kamu buat tadi, kenapa kamu buat begitu dan bagaimana untuk kamu improve. E.g. Dahlia is hot tempered – need to muhasabah diri. What happen to you just now?, why you do that? How to improve?
      • creative thinking
      • to have intellectual traits such as – integrity, ethics, flexibility in thinking, intellectual humility (the opposite is intellectual arrogance)
    • Contoh – in any soalan – perlu develop metacognitive (kesedaran faedah pemikiran mereka)
      • Teknik penyoalan itulah KBAT – untuk develop student’s metacognitive
      • carik basic elements dahulu (not neccessarily keywords). Make sure they understand all the basic elements –
      • Then suruh dia buat gambarajah – visualize untuk mudahkan mereka faham. Then letakkan semua basic elements dalam rajah tersebut.
      • Sentiasa construct sehingga mereka faham keseluruhan keadaan.
  1. Mathematical thinking and other HOTS
  2. Strategy of Solving problem
  3. Communication in mathematics
  4. How to manage mathematical knowledge
  5. Mathematical modeling

10. Thinking Routine

  • Develop HOTS through questioning. What makes to say so? – lets them support them with reasoning + evidence.
  • Not only for critical thinking but at the same time for creative thinking.

11. Habits of Mind

12. What to do next on KBAT?

  1. Informatics in Society – buat buku –
    1. Design Thinking & Problem Solving Perspectives.
    2. Try to compare and contrast – bandingkan antara 2 kapal… then compare keadaan kapal kepada diri sendiri (this is what I want to do on engagement elements of goblin into engagement element when you represent the information)
  • Masukkan element design thinking, problem solving & systemic thinking
  1. Use visual to guide and standardize all the topics.
    1. Identify the problems/challenges/opportunities
    2. Identify the solution – give top down and bottom up
  • Execute one of the solution and get the data.
  1. Topik
    1. Goblin vs Cikgu Shaari – Engagement factors
    2. KBAT – penerimaan di Malaysia
  • Pekerja asing di Malaysia – 3 juta bangladesh di Malaysia
  1. Start up company – banyaknya duit terbazir
  2. Neelofa, Dato’ Seri Vida dan Alif Shukri – marketing strategy
  3. Buku KBAT kanak-kanak (Umur 7-9 tahun) – memupuk + infuse KBAT dalam storytelling
    1. Why (reasoning)
    2. How (the process)
  • Metacognitive
  1. Compare & contrast
  2. Part & wholism

Calling for Papers – Emerging Technologies for Artifact Construction in Learning

Emerging Technologies for Artifact Construction in Learning

Call for Papers for a special issue for the Computers in Human Behavior titled “Emerging Technologies for Artifact Construction in Learning” (Q1)

Guest Editors:

1) Dr. Antigoni Parmaxi [] 2) Prof. Panayiotis Zaphiris []

Cyprus Interaction Lab (
Cyprus University of Technology

Focus of the Special Issue

The Innovating Pedagogy 2016 report claims that we are at the beginning of a learning revolution (i.e., a new era that builds and extends the impact of technology in learning in new and unanticipated ways). The goal of this special issue is to bring together different facets of emerging technologies and ground their use under the theoretical framework of constructionism. This special issue aims to include not only innovation on the use of different features of emerging technologies, but also on practices and strategies employed by practitioners and instructional designers as well as their impact on human behavior. This special issue is not constrained in the discipline of Technology-Enhanced Learning. Research on interface design, security concerns arising from the use of emerging technologies are also welcome.

Find more information from here:

History of MDEC – Towards Citizen Centricity

MDEC Timeline

2005 – Malaysia Government Portal Website Assessment *MGPWA)

2014 – Provider-based evaluation (ProBE) –

2015 – Malalaysia User Satisfaction Evaluation (MUSE)

now – User Engagement ‘ Jom Sembang’  – towards Citizen Centricity

UNEGDI – Customer Satisfaction Rangkking

  1. Performance
  2. functionallity
  3. content
  4. innovation
  5. search
  6. transparency

2014 – Ranking 31

2016 – Ranking 42 (online service index, human capital index)

2020 – Ranking 15

Phases of e-Government

1997 – 1st wave Promote access and connectivity, focusing on developing insfrastructure

2001 – 2nd wave Service online

2007-2015; 3rd wave – transform the enterprise. 3.1. Automation of existing process, 3.2. Transfom business process and organization

2016 – 20202: 4th next generation smart government