Reflective Thinking in Business Courses

2021 ◽  
pp. 1-14
Author(s):  
Rodrigo Libanez Melan ◽  
Thais Accioly Baccaro ◽  
Saulo Fabiano Amâncio-Vieira
Keyword(s):  
Reflective Thinking ◽  
Business Courses

PROFIL BERPIKIR REFLEKTIF SISWA SD DALAM PEMECAHAN MASALAH PECAHAN BERDASARKAN KEMAMPUAN MATEMATIKA

EDUKASI ◽  
2016 ◽  
Vol 14 (2) ◽  
Author(s):  
Hery Suharna ◽  
Agung Lukito Nusantara ◽  
I Ketut Budayasa
Keyword(s):  
Elementary School ◽  
Problem Solving ◽  
Elementary School Students ◽  
Reflective Thinking ◽  
Research Subjects ◽  
Math Skills ◽  
School Students ◽  
Calculation Skills ◽  
High Ability Students ◽  
Selection Of

The research reveals a profile of reflective thinking of elementary school students in problem solving fractions based on his mathematical abilities. The instruments used in data collection is Test Problem Solving (TPM), interview. Selection of research subjects in a way given test is based on the ability of mathematics, namely mathematical skills of high, medium and low and further categorized and taken at least 2 people to serve as subjects. The research objective is: describe the profile of reflective thinking that math skills of elementary school students High, medium, and low. Based on the results of the study found reflective thinking profile and high ability students were as follows: (a) the step to understand the problems students have information/knowledge or data that is used to respond, comes from inside (internal) and can explain what has been done; (B) the planned step problem solving students have information/knowledge or data that is used to respond, comes from inside (internal) and can explain what has been done; (C) on measures to implement the plan in terms of information/knowledge or data used by students to respond, comes from inside (internal), could explain what has been done, realized the error and fix it, and communicate ideas with a symbol or image, and (d) the checking step back, namely information/knowledge or data that is used by students to respond, comes from inside (internal) and can explain what has been done. Profile of reflective thinking ability students lowly mathematics, namely: (a) at the stage of understanding the problem, students can determine known and asked in the problem, but the students' difficulties to explain the identification of the facts that have been done, the students explained the understanding vocabulary, and feel of existing data the matter is enough; (B) at the stage of implementing the plan, the students explained, organize and represent data on the issue, describes how to select the operation in solving a problem though students are not sure, and students' difficulty in explaining what he had done; (C) at the stage of implementing the plan, the student has information on calculation skills although the answer is not correct. Students difficulty in explaining about the skills calculations have been done, trying to communicate their ideas in the form of symbols or images, even if students rather difficult to describe, and realized there was an error when using a calculation skills and improve it; (D) at the stage of check, students' difficulties in explaining whether obtained estimates it approached, it makes senseKeywords: reflective thinking, problem solving, fractions, and math skills.

What is the Business with AI? Preparing Future Decision Makers and Leaders

2020 ◽  
Author(s):  
Helena S. Wisniewski
Keyword(s):  
Data Science ◽  
Decision Makers ◽  
Management Skills ◽  
Business Courses ◽  
College Of Business ◽  
College Of Engineering ◽  
Investment Firm ◽  
Business Curricula ◽  
The University ◽  
The Impact

With companies now recognizing how artificial intelligence (AI), digitalization, the internet of things (IoT), and data science affect value creation and the maintenance of a competitive advantage, their demand for talented individuals with both management skills and a strong understanding of technology will grow dramatically. There is a need to prepare and train our current and future decision makers and leaders to have an understanding of AI and data science, the significant impact these technologies are having on business, how to develop AI strategies, and the impact all of this will have on their employees’ roles. This paper discusses how business schools can fulfill this need by incorporating AI into their business curricula, not only as stand-alone courses but also integrated into traditional business sequences, and establishing interdisciplinary efforts and collaborative industry partnerships. This article describes how the College of Business and Public Policy (CBPP) at the University of Alaska Anchorage is implementing multiple approaches to meet these needs and prepare future leaders and decision makers. These approaches include a detailed description of CBPP’s first AI course and related student successes, the integration of AI into additional business courses such as entrepreneurship and GSCM, and the creation of an AI and Data Science Lab in partnership with the College of Engineering and an investment firm.

EXPRESS: Testing Theories of Goal Progress in Online Learning

2021 ◽  
pp. 002224372199110
Author(s):  
Joy Lu ◽  
Eric T. Bradlow ◽  
J. Wesley Hutchinson
Keyword(s):  
Learning Styles ◽  
Learning Style ◽  
Detection System ◽  
Traditional Education ◽  
Performance Outcomes ◽  
Learner Engagement ◽  
Goal Progress ◽  
Business Courses ◽  
Using Data

Online educational platforms increasingly allow learners to consume content at their own pace with on-demand formats, in contrast to the synchronous content of traditional education. Thus, it is important to understand and model learner engagement within these environments. Using data from four business courses hosted on Coursera, we model learner behavior as a two-stage decision process, with the first stage determining across-day continuation versus quitting and the second stage determining within-day choices among lectures, quizzes, and breaks. By modeling the heterogeneity across learners pursuing lecture and quiz completion goals, we capture different patterns of consumption that correspond to extant theories of goal progress within an empirical field setting. We find that most individuals exhibit a learning style where lecture utility changes as an inverted-U-shaped function of current progress. Our model may also be used as an early detection system to anticipate changes in engagement and allows us to relate learning styles to final performance outcomes and enrollment in additional courses. Finally, we examine the role of quizzes in how consumption patterns vary across learners in different courses and between those who have paid or not paid for the option to earn a course certificate.

scholarly journals Futuristic Trends and Innovations for Examining the Performance of Course Learning Outcomes Using the Rasch Analytical Model

Electronics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 727
Author(s):  
Moustafa M. Nasralla ◽  
Basiem Al-Shattarat ◽  
Dhafer J. Almakhles ◽  
Abdelhakim Abdelhadi ◽  
Eman S. Abowardah
Keyword(s):  
Learning Outcomes ◽  
Analytical Model ◽  
Rasch Model ◽  
Teaching Techniques ◽  
Business Courses ◽  
Learning And Teaching ◽  
Association Pattern ◽  
Engineering Education Research ◽  
Academic Year ◽  
The Rasch Model

The literature on engineering education research highlights the relevance of evaluating course learning outcomes (CLOs). However, generic and reliable mechanisms for evaluating CLOs remain challenges. The purpose of this project was to accurately assess the efficacy of the learning and teaching techniques through analysing the CLOs’ performance by using an advanced analytical model (i.e., the Rasch model) in the context of engineering and business education. This model produced an association pattern between the students and the overall achieved CLO performance. The sample in this project comprised students who are enrolled in some nominated engineering and business courses over one academic year at Prince Sultan University, Saudi Arabia. This sample considered several types of assessment, such as direct assessments (e.g., quizzes, assignments, projects, and examination) and indirect assessments (e.g., surveys). The current research illustrates that the Rasch model for measurement can categorise grades according to course expectations and standards in a more accurate manner, thus differentiating students by their extent of educational knowledge. The results from this project will guide the educator to track and monitor the CLOs’ performance, which is identified in every course to estimate the students’ knowledge, skills, and competence levels, which will be collected from the predefined sample by the end of each semester. The Rasch measurement model’s proposed approach can adequately assess the learning outcomes.

Sign in / Sign up

Export Citation Format

Share Document