Data Mining Students' performance in a Higher Learning Environment

Purpose The purpose of this paper is to investigate an efficient means of estimating the ability of students solving problems in the computer-based learning environment. Design/methodology/approach Item response theory (IRT) and TrueSkill were applied to simulated and real problem solving data to estimate the ability of students solving homework problems in the massive open online course (MOOC). Based on the estimated ability, data mining models predicting whether students can correctly solve homework and quiz problems in the MOOC were developed. The predictive power of IRT- and TrueSkill-based data mining models was compared in terms of Area Under the receiver operating characteristic Curve. Findings The correlation between students’ ability estimated from IRT and TrueSkill was strong. In addition, IRT- and TrueSkill-based data mining models showed a comparable predictive power when the data included a large number of students. While IRT failed to estimate students’ ability and could not predict their problem solving performance when the data included a small number of students, TrueSkill did not experience such problems. Originality/value Estimating students’ ability is critical to determine the most appropriate time for providing instructional scaffolding in the computer-based learning environment. The findings of this study suggest that TrueSkill can be an efficient means for estimating the ability of students solving problems in the computer-based learning environment regardless of the number of students.

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Effectiveness of online presence in a blended higher learning environment in the Pacific

Studies in Higher Education ◽

10.1080/03075079.2019.1602756 ◽

2019 ◽

Vol 45 (8) ◽

pp. 1547-1565 ◽

Cited By ~ 2

Author(s):

Bibhya Sharma ◽

Ravneil Nand ◽

Mohammed Naseem ◽

Emmenual V. Reddy

Keyword(s):

Learning Environment ◽

Higher Learning ◽

Online Presence ◽

The Pacific

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The ecosystem of translator workstation

Babel ◽

10.1075/babel.63.3.06aip ◽

2017 ◽

Vol 63 (3) ◽

pp. 401-422 ◽

Cited By ~ 2

Author(s):

Aiping Mo ◽

Deliang Man

Keyword(s):

Learning Environment ◽

Daily Basis ◽

Higher Learning ◽

Traditional Classroom ◽

Postgraduate Students ◽

The Social ◽

Constructivist Perspective ◽

Authentic Environment ◽

Traditional Classroom Teaching ◽

Learning Institutions

Abstract In 2007, the Commission of Academic Degrees of the State Council of China approved an education program-Master of Translation and Interpreting (henceforth MTI), and in 2014 there are already 206 higher learning institutions started running such a program, aiming at training postgraduate students to be professional translators with advanced translation competence. Part of this translation competence is the ability to use electronic tools and resources, which has not received adequate scholarly attention in the field of translation studies in China. The objective of this research is to construct an ideal learning environment for MTI students from the social constructivist perspective by exploring the possibility and benefit of bringing the students out of the traditional classroom teaching into the authentic environment wherein professional translators use electronic tools on a daily basis. This article addresses the following research questions: (1) What constitutes an ideal environment wherein its various components interact to facilitate the student’s learning? (2) In what way does such an environment assist the MTI students to learn to use electronic tools? (3) How can the gap between the student translator and the professional translator be bridged in terms of the skills to use electronic tools in a 2-year training program? In response to these questions, this article explores the interaction among the various components of the external environment of translator workstation. It proposes an ideal learning environment metaphorically referred to as “the ecosystem of translator workstation”, which aims to enable MTI students to learn to use electronic tools in an environment similar to their future workplace. Such a research has great implications for translator education in present-day China by revealing what is best taught or trained in the workplace rather than the traditional classroom setting.

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THE RELATION BETWEEN STUDENT’S PERCEPTION OF LEARNING ENVIRONMENT AND LEARNING MOTIVATION OF PRE-CLINICAL MEDICAL STUDENT

Jurnal Pendidikan Kedokteran Indonesia The Indonesian Journal of Medical Education ◽

10.22146/jpki.44902 ◽

2019 ◽

Vol 8 (1) ◽

pp. 10

Author(s):

Zafira Pringgoutami ◽

Rika Lisiswanti ◽

Dwita Oktaria

Keyword(s):

Academic Achievement ◽

Learning Environment ◽

Medical Faculty ◽

Higher Learning ◽

Learning Motivation ◽

P Value ◽

Significant Relation ◽

Cross Sectional ◽

Two Factors ◽

Student's Perceptions

Background: Academic achievement is influenced by two factors, internal and external factor. Learning environment is one of the external factors that affect the academic achievement. A conducive learning environment can improve students learning motivation and affect academic achievement.The aim of this research is to find out the relation between student’s perception of learning environment and learning motivation of pre-clinical student in Medical Faculty of Lampung University.Methods: This research was using cross sectional approach. The sample of this research consisted 248 pre-clinical student in Medical Faculty of Lampung University which determined by proportional-random sampling. This research used two questionnaires: Dundee Ready Educational Environment Measure (DREEM) and Motivated Strategies of Learning Questionnaire (MSLQ). Data were analysed using Spearman.Results: The result showed that most of pre-clinical student in Medical Faculty of Lampung University have perception about learning environment was decent (74,6%) and learning motivation was high (98,8%), there was significant relation between student’s perception of learning environment and learning motivation which determined by p value <0,05 and r 0,462.Conclusion: From this research can be concluded that the better student’s perceptions of learning environment, the higher learning motivation becomes.

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Data Mining Application in Higher Learning Institutions

Informatics in Education ◽

10.15388/infedu.2008.03 ◽

2008 ◽

Vol 7 (1) ◽

pp. 31-54 ◽

Cited By ~ 29

Author(s):

Naeimeh DELAVARI ◽

Somnuk PHON-AMNUAISUK ◽

Mohammad Reza BEIKZADEH

Keyword(s):

Data Mining ◽

Higher Learning ◽

Learning Institutions ◽

Data Mining Application

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The Influence of Higher Learning Environment and Role Model towards an Entrepreneurial Intention among TVET Students

Jurnal Intelek ◽

10.24191/ji.v15i1.276 ◽

2020 ◽

Vol 15 (1) ◽

pp. 133-142

Author(s):

Rifhan Roslan ◽

Nur Iliza Misnan ◽

Dzulkarnain Musa

Keyword(s):

Learning Environment ◽

Role Models ◽

Teaching And Learning ◽

Role Model ◽

National Development ◽

Entrepreneurship Education ◽

Entrepreneurial Intention ◽

Higher Learning ◽

Vocational Education And Training ◽

Learning Methods

The Technical and Vocational Education and Training (TVET) field is part of the drive for national development. With the circumstances, the TVET institutions have taken steps towards creating future entrepreneurs as well as contributing to high-skilled employment. Thus, the study was conducted to examine several factors related to higher learning environment and role model as well as their relationship with entrepreneurship intentions among TVET students. The study was hypothesized and tested using three dimensions of TVET higher learning environment (entrepreneurship education, entrepreneurship activities and teaching and learning methods) and role model factors that influence students' entrepreneurial intention. The results from correlation analysis found that there was a relationship between all the independent variables; entrepreneurship activities, role models, entrepreneurship education and teaching and learning methods with entrepreneurial intentions. The overall results of the study act as an enlightenment for related parties in developing future entrepreneurship society for the development of the country.

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