scholarly journals Designing and Evaluating Intelligent Agents’ Interaction Mechanisms for Assisting Human in High-Level Thinking Tasks

2021 ◽  
Author(s):  
Zhenhui Peng
Keyword(s):  
Intelligent Agents ◽  
Interaction Mechanisms ◽  
High Level ◽  
High Level Thinking

IMPLEMENTING SIM-OVG MODEL IN LEARNING ECONOMICS AT SMA NEGERI 10 SAMARINDA

2019 ◽  
Vol 1 (2) ◽  
pp. 151-164
Author(s):  
Watini Watini
Keyword(s):  
Learning Outcomes ◽  
Classroom Observation ◽  
Second Grade ◽  
Learning Models ◽  
Group Presentation ◽  
Second Grade Students ◽  
High Level ◽  
Work Method ◽  
High Level Thinking ◽  
Passing Grade

The reason underlying the implementation of the present study was because there was a finding revealing that there were still several students from cross-economics class of XI MIPA having difficulties in understanding the lessons. In addition, the students also had a kind of thought that economics was just about memorizing things which was not interesting and challenging that resulted in their unsatisfied learning outcomes. Therefore, the SIM-OVG model needed to be implemented in the learning process. The instruments of the present study were observation and, students’ learning reports and work method. The population of the study was the second grade students (4 classes) who enrolled economics subject at SMA Negeri 10 Samarinda, whereas the samples of the study were the students of XI MIPA-1 class (cross-economics class) at SMA Negeri 10 Samarinda. The number of the population and samples was 101 and 23 students respectively. The study lasted for one semester. The description of the classroom observation, the students’ scores and the group presentation were obtained for the data analysis. After implementing the SIM-OVG model, the results showed that; 1) in the affective aspect, the students showed a better attitude, 2) in the cognitive aspect, there was an improvement on the students’ learning outcomes (before the implementation of SIM-OVG model in XI MIPA-1 class, 52,17% of the students did not reach the passing-grade, but after the implementation, 100% of the students reached the passing-grade, and they also looked enthusiastic in doing their assignments, and 3) in the psychomotor aspect, the students became more skillful, creative, and be able to perform high level thinking. The researcher suggested that the dissemination should be done through MGMP forum and SIM-OVG model workshop. In addition, the researcher also suggested the integration of SIM-OVG model with other learning models and hoped that every school provided adequate facilities to support the implementation of SIM-OVG model.

ANALISIS ASSESMENT HIGHER ORDER THINKING SKILLS PADA MATERI IPA KELAS TINGGI SD N BUGANGAN 02 SEMARANG

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Esti Devi Pratiwi ◽  
Filia Prima Atharina ◽  
Henry Januar Saputra
Keyword(s):  
Qualitative Research ◽  
Higher Order Thinking ◽  
Thinking Skills ◽  
Research Data ◽  
Fifth Grade ◽  
Class V ◽  
Higher Order Thinking Skills ◽  
Fifth Grade Students ◽  
High Level ◽  
High Level Thinking

Learners find it difficult to learn if asked to solve problems with high-level thinking (HOTS). Difficulties experienced by students are difficulties in working on HOTS-based question in which students are asked to think critically and understand the purpose of the questions be worked on. Descriptive qualitative research methods. Sources of research data are students in class V SD N Bugangan 02 Semarang. Data collection procedures used are observation, interviews, and documentation. The results showed that fifth grade students found it difficult to work on HOTS-based questions because in the learning process teachers rarely gave HOTS-based question so students were not accustomed to solving questions by thinking highly.

ANALISIS TERHADAP SOAL PENILAIAN AKHIR SEMESTER TINGKAT SD/MI DALAM PERSPEKTIF HIGH ORDER THINK SKILLS

2020 ◽  
Vol 12 (33) ◽  
Author(s):  
Yudha Andana Prawira ◽  
Titim Kurnia
Keyword(s):  
Critical Thinking ◽  
Critical Reflection ◽  
Descriptive Analysis ◽  
High Order ◽  
Point Of View ◽  
The Other ◽  
National Education ◽  
The One ◽  
High Level ◽  
High Level Thinking

The National Education World is currently trying to improve the ability of its students to think critically and creatively. One of these efforts has been pursued through evaluations that also lead to critical reflection. This research is a descriptive analysis of the final semester evaluation questions that are examined from the point of view of high-level thinking [HOTS]. The reference to the HOTS criteria is that the researcher refers to the opinions of King and his friends. From the manuscript data, the issues examined are samples from the Bandung area. The results of the analysis show that 10 out of 15 HOTS ranges proposed by King are already included in the scripts made by the teachers. On the one hand, it shows the teacher's creativity in compiling questions. On the other hand, all these questions do not refer to the HOTS criteria as planned. Therefore, there is a need to increase teachers' skills in compiling scripts as HOTS. This increase can be done through teacher training.Keywords: Evaluation, HOTS, critical thinking and creativity thingking

Software Agents in Today's Digital Economy

2001 ◽  
pp. 88-100 ◽  
Author(s):  
Mahesh S. Raisinghani
Keyword(s):  
Intelligent Agents ◽  
New Technology ◽  
Software Agents ◽  
Information Filtering ◽  
Intelligent Agent ◽  
Social Dimension ◽  
Economic Changes ◽  
Software Products ◽  
Intelligent Software Agents ◽  
High Level

One of the most discussed topics in the information systems literature today is software agent/intelligent agent technology. Software agents are high-level software abstractions with inherent capabilities for communication, decision making, control, and autonomy. They are programs that perform functions such as information gathering, information filtering, or mediation (running in the background) on behalf of a person or entity. They have several aliases such as agents, bots, chatterbots, databots, intellibots, and intelligent software agents/robots. They provide a powerful mechanism to address complex software engineering problems such as abstraction, encapsulation, modularity, reusability, concurrency, and distributed operations. Much research has been devoted to this topic, and more and more new software products billed as having intelligent agent functionality are being introduced on the market every day. The research that is being done, however, does not wholeheartedly endorse this trend. The current research into intelligent agent software technology can be divided into two main areas: technological and social. The latter area is particularly important since, in the excitement of new and emergent technology, people often forget to examine what impact the new technology will have on people’s lives. In fact, the social dimension of all technology is the driving force and most important consideration of technology itself. This chapter presents a socio-technical perspective on intelligent agents and proposes a framework based on the data lifecycle and knowledge discovery using intelligent agents. One of the key ideas of this chapter is best stated by Peter F. Drucker in Management Challenges for the 21st Century when he suggests that in this period of profound social and economic changes, managers should focus on the meaning of information, not the technology that collects it.

Intelligent Software Agents in Electronic Commerce

2011 ◽  
pp. 104-112 ◽  
Author(s):  
Mahesh S. Raisinghani ◽  
Christopher Klassen ◽  
Lawrence L. Schkade
Keyword(s):  
Intelligent Agents ◽  
Software Agents ◽  
Intelligent Agent ◽  
Software Agent ◽  
Reasoning Strategies ◽  
Intelligent Software ◽  
Collaborative Behavior ◽  
Intelligent Software Agents ◽  
The Status ◽  
High Level

Although there is no firm consensus on what constitutes an intelligent agent (or software agent), an intelligent agent, when a new task is delegated by the user, should determine precisely what its goal is, evaluate how the goal can be reached in an effective manner, and perform the necessary actions by learning from past experience and responding to unforeseen situations with its adaptive, self-starting, and temporal continuous reasoning strategies. It needs to be not only cooperative and mobile in order to perform its tasks by interacting with other agents but also reactive and autonomous to sense the status quo and act independently to make progress towards its goals (Baek et al., 1999; Wang, 1999). Software agents are goal-directed and possess abilities such as autonomy, collaborative behavior, and inferential capability. Intelligent agents can take different forms, but an intelligent agent can initiate and make decisions without human intervention and have the capability to infer appropriate high-level goals from user actions and requests and take actions to achieve these goals (Huang, 1999; Nardi et al., 1998; Wang, 1999). The intelligent software agent is a computational entity than can adapt to the environment, making it capable of interacting with other agents and transporting itself across different systems in a network.

scholarly journals Applying Software Engineering to Agent Development

AI Magazine ◽  
2010 ◽  
Vol 31 (2) ◽  
pp. 25 ◽  
Author(s):  
Mark A. Cohen ◽  
Frank E. Ritter ◽  
Steven R Haynes
Keyword(s):  
Software Engineering ◽  
Software Reuse ◽  
Intelligent Agents ◽  
Intelligent Agent ◽  
Integrated Development Environment ◽  
Development Environment ◽  
Integrated Development ◽  
Engineering Activity ◽  
High Level ◽  
Agent Development

Developing intelligent agents and cognitive models is a complex software engineering activity. This article shows how all intelligent agent creation tools can be improved by taking advantage of established software engineering principles such as high-level languages, maintenance-oriented development environments, and software reuse. We describe how these principles have been realized in the Herbal integrated development environment, a collection of tools that allows agent developers to exploit modern software engineering principles.

Towards life-long adaptive agents: using metareasoning for combining knowledge-based planning with situated learning

2018 ◽  
Vol 33 ◽  
Author(s):  
Priyam Parashar ◽  
Ashok K. Goel ◽  
Bradley Sheneman ◽  
Henrik I. Christensen
Keyword(s):  
Situated Learning ◽  
Intelligent Agents ◽  
Physical World ◽  
Task Planning ◽  
Adaptive Agents ◽  
Hierarchical Task Network ◽  
Knowledge Based ◽  
Knowledge Based Planning ◽  
Occupancy Grids ◽  
High Level

AbstractWe consider task planning for long-living intelligent agents situated in dynamic environments. Specifically, we address the problem of incomplete knowledge of the world due to the addition of new objects with unknown action models. We propose a multilayered agent architecture that uses meta-reasoning to control hierarchical task planning and situated learning, monitor expectations generated by a plan against world observations, forms goals and rewards for the situated reinforcement learner, and learns the missing planning knowledge relevant to the new objects. We use occupancy grids as a low-level representation for the high-level expectations to capture changes in the physical world due to the additional objects, and provide a similarity method for detecting discrepancies between the expectations and the observations at run-time; the meta-reasoner uses these discrepancies to formulate goals and rewards for the learner, and the learned policies are added to the hierarchical task network plan library for future re-use. We describe our experiments in the Minecraft and Gazebo microworlds to demonstrate the efficacy of the architecture and the technique for learning. We test our approach against an ablated reinforcement learning (RL) version, and our results indicate this form of expectation enhances the learning curve for RL while being more generic than propositional representations.

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