scholarly journals The Development of a Generalized Process Model Case-Based Reasoning, the Method of its Formation and Use

2016 ◽  
pp. 23-28
Author(s):  
S.F. Chaliy ◽  
◽  
I.V. Levykin ◽  
Keyword(s):  
Process Model ◽  
Case Based Reasoning ◽  
Model Case ◽  
Case Based

scholarly journals KAJIAN MODEL PEMBELAJARAN: PENDEKATAN COGNITIVE APPRENTICESHIP MODEL CASE BASED REASONING DALAM PEMBELAJARAN MATEMATIKA

2017 ◽  
Author(s):  
Rina Oktaviyanthi
Keyword(s):  
Cognitive Apprenticeship ◽  
Case Based Reasoning ◽  
Model Case ◽  
Apprenticeship Model ◽  
Case Based

Penalaran adaptif dan pengambilan keputusan merupakan kemampuan yang menjadi bahasan pada perkembangan kognitif dan merupakan dua kemampuan penentu dalam proses pemecahan masalah. Untuk itu membelajarkan kedua kemampuan kognitif tersebut pada peserta didik merupakan tugas guru yang perlu diupayakan sedini dan sebaik mungkin. Dalam kajian ini, penulis memaparkan penggabungan pendekatan pembelajaran Cognitive Apprenticeship dengan model Case Based Reasoning yang akan dikembangkan sebagai salah satu upaya dalam mengoptimalkan dua kemampuan kognitif, penalaran adaptif dan pengambilan keputusan. Pendekatan Cognitive Apprenticeship memasilitasi peserta didik melalui pembelajaran bertahap dan menawarkan pengkondisian lingkungan belajar langsung pada ahlinya melalui kegiatan modeling, coaching, scaffolding, articulation, reflection dan exploration. Sementara Case Based Reasoning digunakan lebih khusus ketika peserta didik menyelesaikan masalah dengan siklus penyelesaian retrieve, reuse, revise dan retain. Kajian ini merupakan studi pendahuluan terkait implementasi pendekatan pembelajaran Cognitive Apprenticeship model Case Based Reasoning yang akan dilakukan penulis. Adapun tujuan dari kajian ini adalah (1) menguraikan pendekatan pembelajaran Cognitive Apprenticeship, (2) menjelaskan model Case Based Reasoning, dan (3) memaparkan pendekatan pembelajaran Cognitive Apprenticeship model Case Based Reasoning.(Artikel ini telah dipresentasikan pada "Seminar Nasional Matematika 2015", Universitas Katolik Parahyangan (UNPAR), Bandung, Indonesia, 19 September 2015 dan dipublikasi pada prosiding cetak Seminar Nasional Matematika 2015 Vol. 10)

CADSYN: A case-based design process model

1993 ◽  
Vol 7 (2) ◽  
pp. 97-110 ◽  
Author(s):  
Mary Lou Maher ◽  
Dong Mei Zhang
Keyword(s):  
Design Process ◽  
Design Problem ◽  
Domain Knowledge ◽  
Process Model ◽  
Design Solution ◽  
Case Based Reasoning ◽  
Specific Design ◽  
Starting Point ◽  
Design Process Model ◽  
Case Based

In solving a new design problem, the case-based reasoning paradigm provides a process model where previous experience in the form of multiple, individual design situations can be used in a new design context. Design synthesis presents challenges to current methodologies of CBR in the application of the various approaches to case memory organization, indexing, selection and transformation. The focus of this paper is on the transformation process. Multiple types of design knowledge are essential to derive a new design solution. A hybrid case-based design process model, CADSYN, is proposed to integrate specific design situations and generalized domain knowledge, where specific cases are represented as attribute-value pairs and domain knowledge is represented by generalized design concepts and constraints. Case transformation is treated as a constraint satisfaction problem, where a specific design case provides a starting point for a new design problem and constraints are used to revise the case for consistency with the new context.

scholarly journals Design and Development of Competency-based Instructional Model for Instruction Delivery for Learning Disabled using Case Based Reasoning

2020 ◽  
Vol 8 (6) ◽  
pp. 1847-1858
Keyword(s):  
Learning Environment ◽  
Learning Disabled ◽  
Learning Activities ◽  
Instructional Model ◽  
Case Based Reasoning ◽  
Design And Development ◽  
Model Case ◽  
Competency Based ◽  
Multi Level ◽  
Case Based

Pedagogical policies are designed for organizing and sequencing the instruction plan provided to the learner, for supporting learning activities and deciding which learning environment will be suitable for what kind of learner. In this paper, a multi-level pedagogy model named competency-based instructional model (CBIM) is presented for LD learners. The pedagogy policies are recommended based on the CBIM model, it takes problematic skills of the learner as input and delivers a learner-centric instruction plan (IP) according to the problematic skill. For the implementation of CBIM model, case-based reasoning approach is used and CBRI and observation models are proposed.

Solving the Message Classification Problem in Voice Interaction Systems

Vestnik MEI ◽  
2020 ◽  
Vol 5 (5) ◽  
pp. 132-139
Author(s):  
Ivan E. Kurilenko ◽  
◽  
Igor E. Nikonov ◽  
Keyword(s):  
Artificial Intelligence ◽  
Classification Problem ◽  
Subject Area ◽  
Text Messages ◽  
Case Based Reasoning ◽  
Short Text ◽  
Proposed Modification ◽  
Voice Interaction ◽  
Text Content ◽  
Case Based

A method for solving the problem of classifying short-text messages in the form of sentences of customers uttered in talking via the telephone line of organizations is considered. To solve this problem, a classifier was developed, which is based on using a combination of two methods: a description of the subject area in the form of a hierarchy of entities and plausible reasoning based on the case-based reasoning approach, which is actively used in artificial intelligence systems. In solving various problems of artificial intelligence-based analysis of data, these methods have shown a high degree of efficiency, scalability, and independence from data structure. As part of using the case-based reasoning approach in the classifier, it is proposed to modify the TF-IDF (Term Frequency - Inverse Document Frequency) measure of assessing the text content taking into account known information about the distribution of documents by topics. The proposed modification makes it possible to improve the classification quality in comparison with classical measures, since it takes into account the information about the distribution of words not only in a separate document or topic, but in the entire database of cases. Experimental results are presented that confirm the effectiveness of the proposed metric and the developed classifier as applied to classification of customer sentences and providing them with the necessary information depending on the classification result. The developed text classification service prototype is used as part of the voice interaction module with the user in the objective of robotizing the telephone call routing system and making a shift from interaction between the user and system by means of buttons to their interaction through voice.

Feature level intentions based product recommendations with case-based reasoning

2018 ◽  
Vol 6 (1) ◽  
pp. 266-274
Author(s):  
D. Teja Santosh ◽  
◽  
K.C. Ravi Kumar ◽  
P. Chiranjeevi ◽  
◽  
...  
Keyword(s):  
Case Based Reasoning ◽  
Product Recommendations ◽  
Case Based
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