scholarly journals Learning Model Development of Memorizing The Qur'an Through Integration of Internal and External Representation

2021 ◽  
Vol 6 (1) ◽  
pp. 95
Author(s):  
Hisban Thaha ◽  
Edhy Rustan ◽  
Subhan Subhan
Keyword(s):  
Model Development ◽  
Internal Representation ◽  
Learning Model ◽  
Phase Iii ◽  
External Representation ◽  
Developmental Study ◽  
Reference Framework ◽  
Modes Of Representation ◽  
The Brain ◽  
Model Development Process

This research aims to create a learning model of memorization of the Qur'an based on the nature of the brain that tends to require relevance between the projection of information that occurred internally in the brain (internal representation) and externally presented information outside the brain (external representation). Integration of the two modes of representation was carried out through a developmental study by adopting Research and Development (R & D) from Borg and Gall as a reference for the development of conceptual frameworks and memory models of Y Wang as a reference framework of the development of operational stages. From the model development process, several components of the model implementation have successfully been developed. The model implementation was operationally integrated with internal and external representation modes such as Phase I: the formulation of indicators, Phase II diagnostic assessment dealing with prior al-Qur’an memorizing ability, Phase III Conditioning students, Phase IV Coding memorizing materials, and Phase V repetition and recalling memorizing outcomes.

A sensorimotor account of vision and visual consciousness

2001 ◽  
Vol 24 (5) ◽  
pp. 939-973 ◽  
Author(s):  
J. Kevin O'Regan ◽  
Alva Noë
Keyword(s):  
Change Blindness ◽  
Internal Representation ◽  
Sensory Substitution ◽  
External Representation ◽  
Visual Stability ◽  
Visual Consciousness ◽  
Alternative Proposal ◽  
The Brain ◽  
Sensorimotor Contingency

Many current neurophysiological, psychophysical, and psychological approaches to vision rest on the idea that when we see, the brain produces an internal representation of the world. The activation of this internal representation is assumed to give rise to the experience of seeing. The problem with this kind of approach is that it leaves unexplained how the existence of such a detailed internal representation might produce visual consciousness. An alternative proposal is made here. We propose that seeing is a way of acting. It is a particular way of exploring the environment. Activity in internal representations does not generate the experience of seeing. The outside world serves as its own, external, representation. The experience of seeing occurs when the organism masters what we call the governing laws of sensorimotor contingency. The advantage of this approach is that it provides a natural and principled way of accounting for visual consciousness, and for the differences in the perceived quality of sensory experience in the different sensory modalities. Several lines of empirical evidence are brought forward in support of the theory, in particular: evidence from experiments in sensorimotor adaptation, visual “filling in,” visual stability despite eye movements, change blindness, sensory substitution, and color perception.

scholarly journals Classification of Clinically Significant Prostate Cancer on Multi-Parametric MRI: A Validation Study Comparing Deep Learning and Radiomics

Cancers ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 12
Author(s):  
Jose M. Castillo T. ◽  
Muhammad Arif ◽  
Martijn P. A. Starmans ◽  
Wiro J. Niessen ◽  
Chris H. Bangma ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Deep Learning ◽  
Characteristic Curve ◽  
Model Development ◽  
Learning Model ◽  
Multiparametric Mri ◽  
Data Sets ◽  
Data Set ◽  
Test Sets ◽  
Deep Learning Model

The computer-aided analysis of prostate multiparametric MRI (mpMRI) could improve significant-prostate-cancer (PCa) detection. Various deep-learning- and radiomics-based methods for significant-PCa segmentation or classification have been reported in the literature. To be able to assess the generalizability of the performance of these methods, using various external data sets is crucial. While both deep-learning and radiomics approaches have been compared based on the same data set of one center, the comparison of the performances of both approaches on various data sets from different centers and different scanners is lacking. The goal of this study was to compare the performance of a deep-learning model with the performance of a radiomics model for the significant-PCa diagnosis of the cohorts of various patients. We included the data from two consecutive patient cohorts from our own center (n = 371 patients), and two external sets of which one was a publicly available patient cohort (n = 195 patients) and the other contained data from patients from two hospitals (n = 79 patients). Using multiparametric MRI (mpMRI), the radiologist tumor delineations and pathology reports were collected for all patients. During training, one of our patient cohorts (n = 271 patients) was used for both the deep-learning- and radiomics-model development, and the three remaining cohorts (n = 374 patients) were kept as unseen test sets. The performances of the models were assessed in terms of their area under the receiver-operating-characteristic curve (AUC). Whereas the internal cross-validation showed a higher AUC for the deep-learning approach, the radiomics model obtained AUCs of 0.88, 0.91 and 0.65 on the independent test sets compared to AUCs of 0.70, 0.73 and 0.44 for the deep-learning model. Our radiomics model that was based on delineated regions resulted in a more accurate tool for significant-PCa classification in the three unseen test sets when compared to a fully automated deep-learning model.

scholarly journals Modelling instruction effect with different reasoning ability on physics conceptual understanding by controlling the prior knowledge

2020 ◽  
pp. 73-84
Author(s):  
Ike Lusi Meilina ◽  
Supriyono Koes Handayanto ◽  
Muhardjito Muhardjito
Keyword(s):  
Prior Knowledge ◽  
Conceptual Understanding ◽  
Scientific Reasoning ◽  
Model Development ◽  
Learning Model ◽  
Reasoning Ability ◽  
Knowledge Test ◽  
Ability Test ◽  
Reasoning Abilities ◽  
Significant Difference

Modelling instruction is systematic instructional activity for constructing and applying scientific knowledge in Physics lesson. The purpose of this research is to determine the effect of Modelling instruction with different reasoning abilities on understanding physical concepts by controlling students’ prior knowledge. This research used experimental method with 2x2 factorial design with two Modelling instruction classes and two conventional classes with a total of 176 students. The instrument used was reasoning ability test, prior knowledge test, and physics concept test. It used LCTSR (Lawson’s Classroom Test of Scientific Reasoning) instrument. Prior knowledge test instruments consisted of 25 problems to identify how deep the students understand the topic before they undergo the learning process and physics concept test consisted of 25 problems. Based on the statistical test using two factor Ancova, it proved that there was a significant difference in students’ ability to master the physics concept between using Modelling instruction learning model and using conventional learning model. The result showed that the Modelling instruction increasing conceptual understanding better than conventional learning. There are two important parts in the Modelling instruction that are model development and model deployment. This study also confirms that there are significant differences in understanding the concepts between students of high reasoning ability and low reasoning ability. Students with high reasoning abilities have a better understanding of concepts than students with low reasoning abilities.

scholarly journals PENGEMBANGAN MODEL PEMBELAJARAN KOOPERATIF TIPE ANALOGI SETTING SISTEM NGAYAH DENGAN ASESMEN PORTOFOLIO BENTUK FORMATIF UNTUK SISWA KELAS X TEKNIK MESIN

2019 ◽  
Vol 8 (1) ◽  
pp. 12-23
Author(s):  
KETUT SURA SUARDANA . ◽  
PROF.DR.I NYOMAN NATAJAYA, M.Pd. . ◽  
DR. NI KETUT WIDIARTINI, S.Pd.,M.Pd .
Keyword(s):  
Cooperative Learning ◽  
Lesson Plan ◽  
Portfolio Assessment ◽  
Model Development ◽  
Learning Model ◽  
Design Stage ◽  
Target Concept ◽  
Mutual Cooperation ◽  
Mutual Help ◽  
Learning Groups

Penelitian ini bertujuan untuk mengembangkan model pembelajaran kooperatif tipe analogi setting sistem ngayah dengan asesmen portofolio bentuk formatif untuk siswa kelas X program keahlian teknik mesin SMKN 3 Singaraja pada mata pelajaran pekerjaan dasar teknik mesin. Pengembangan model pembelajaran dalam penelitian ini mengacu pada model prototyping menurut Nieveen yang dimulai dari (a) tahap studi pendahuluan, (b) tahap prototiping yang mencakup tahap desain, tahap evaluasi dan revisi, dan (c) tahap penilaian yang mencakup tahap ujicoba untuk menentukan penilaian kepraktisan model pembelajaran yang dikembangkan. Melalui proses pengembangan, telah dihasilkan: (1) sintaks, terdiri dari 6 fase, yakni: menyampaikan tujuan dan memotivasi siswa, mengorganisasi siswa kedalam kelompok belajar dan membagikan lembar kerja, menyajikan informasi dan melibatkan siswa dalam memahami konsep rujukan dan memperkenalkan konsep target, membimbing kelompok belajar dan bekerja sesuai konsep rujukan dan memodifikasi sesuai konsep target secara tolong menolong atau berbagi, menarik kesimpulan dan mengevaluasi, dan memberikan penghargaan, (2) sistem sosial, siswa aktif belajar dan bekerja, dapat bekerjasama, tolong menolong dan berbagi antar anggota kelompok, (3) prinsip reaksi, guru berperan sebagai fasilitator dan moderator, (4) sistem pendukung adalah RPP, job sheet dan asesmen portofolio, (5) dampak instruksional dan pengiring, terjadi peningkatan proses dan aktivitas siswa mengerjakan tugas-tugas prakteknya dan muncul sikap positif siswa terhadap pembelajaran praktek, serta terbentuknya budaya gotong royong. Berdasarkan analisis uji coba terbatas, hasil penelitian ini menunjukkan bahwa model pembelajaran kooperatif tipe analogi setting sistem ngayah beserta perangkat pendukung pembelajaran telah memenuhi kriteria valid dan praktis.Kata Kunci : pengembangan, pembelajaran kooperatif tipe analogi, sistem ngayah, portofolio This research aimed to develop Cooperative Learning Model Development of Ngayah system setting analogy type with Formative Portfolio assessment for 10th grade students of mechanical engineering program in SMKN 3 Singaraja in mechanical engineeringbasic lesson. Learning model development was based on prototyping model by Nieveen, started from (a) preliminary study stage, (b) prototyping stage, covers design stage, evaluation and revision stage, and (c) scoring stage, includes trials stage to determine learning model practicality scoring developed. Through development process, it produced: (1) syntax,consists of 6 phases, namely: conveying purposes and motivating students, organizing students into groups and distributing work sheets, providing information and involving the students in comprehending reference conceptand introducing target concept, guiding learning groups and working based on reference concept and modifying based on target concept by mutual helping or sharing, drawing conclusion and evaluating , and giving reward (2) social system, the students were actively learning and working and also be able to cooperate, to do mutual help, and to share between members. (3) reaction principal, the teacher was as facilitator and moderator, (4) supporting systems were lesson plan, job sheet and portfolio assessment, (5) instructional and adherent impact, there was process improvement and student’s activities in their practical tasks and students positive attitude toward practical learning, and also creating mutual cooperation culture. Based on limited trials analysis, the result of research shows that Cooperative Learning Model Development of Ngayah system setting analogy typewith its supporting tools has fulfilled valid and practicality criteria.keyword : analogy type of cooperative learning, development, Ngayah system, portfolio

scholarly journals A Survey of Domain Knowledge Elicitation in Applied Machine Learning

2021 ◽  
Vol 5 (12) ◽  
pp. 73
Author(s):  
Daniel Kerrigan ◽  
Jessica Hullman ◽  
Enrico Bertini
Keyword(s):  
Machine Learning ◽  
Domain Knowledge ◽  
Development Process ◽  
Model Development ◽  
Knowledge Elicitation ◽  
Future Directions ◽  
Domain Experts ◽  
Applied Machine Learning ◽  
Elicitation Process ◽  
Model Development Process

Eliciting knowledge from domain experts can play an important role throughout the machine learning process, from correctly specifying the task to evaluating model results. However, knowledge elicitation is also fraught with challenges. In this work, we consider why and how machine learning researchers elicit knowledge from experts in the model development process. We develop a taxonomy to characterize elicitation approaches according to the elicitation goal, elicitation target, elicitation process, and use of elicited knowledge. We analyze the elicitation trends observed in 28 papers with this taxonomy and identify opportunities for adding rigor to these elicitation approaches. We suggest future directions for research in elicitation for machine learning by highlighting avenues for further exploration and drawing on what we can learn from elicitation research in other fields.

scholarly journals Critical Collaboration-Oriented Constructivist Learning Model Development to Improve Social and Spiritual Skills

2021 ◽  
Vol 56 (3) ◽  
pp. 436-445
Author(s):  
Ismail Thoib
Keyword(s):  
Small Group ◽  
Model Development ◽  
Research Process ◽  
Field Trials ◽  
Learning Model ◽  
Constructivist Learning ◽  
Learning Activities ◽  
Learning Design ◽  
Content Expert ◽  
Feasibility Test

This study aims to develop a critical collaboration-oriented constructivist learning model to improve students' social-spiritual skills. It boosts the urgency that most educators currently believe the online learning model does not improve students' social and spiritual skills. The development is carried out using the Assure model developed by Smaldino, Russell, Heinich, and Molenda. The developed model followed six steps, namely: (1) analyzing the characteristics of students, (2) setting learning objectives, (3) selecting media, methods, and materials, (4) utilizing teaching materials, (5) involving students in learning activities, and (6) evaluation and revision. The research process was carried out at UIN Mataram, involving one content expert, one design expert, five students in individual trials, nine students in small group trials, and 40 students in field trials. The results show that the developed learning model had theoretical feasibility of 96.4% for the material and 96% for the learning design. At the same time, the results of the empirical feasibility test showed that the product was empirically feasible with a feasibility level of 85.87% in individual trials, 90.12% in small group trials, and 94.25% in field trials. This study ends with the suggestions to implement the developed learning model in different fields of studies as the discussion of this model is rare while the impacts are beneficial. The discussion on its application and effects on learning achievements and attitudes in different fields of studies will contribute to a broader understanding of the same topic.

Sign in / Sign up

Export Citation Format

Share Document