International Journal of Knowledge and Learning (5 papers in press)
The Impact of Student Attitude, Trust, Subjective Norms, Motivation and Rewards on Knowledge Sharing Attitudes among University Students
by Syed Ali Raza, Masooma Abidi, Ghulam Muhammad Arsalan, Arshian Sharif
Abstract: The aim of the study is to examine the Impact of Student Attitude, Trust, Subjective Norm, Motivation & Rewards on Knowledge Sharing Attitude among University Students. Theoretical model of the study is based on Theory of reasoned action (TRA). Furthermore, the study base on four independent and one dependent variable. Data was gathered from 350 university students of Karachi. The research instrument contains close ended question. The result was summarized and data was interpreted with the help of Smart Partial Least Squares-SEM. The results of the study show that student attitude, trust, subjective norm, motivation and rewards have a significant positive impact on knowledge exchange behavior between university students. On the basis of result, we can say that student attitude is not only the factors that have an impact on knowledge sharing behavior of students but other elements also matter. Therefore, students need motivation, trust factor and perceived behavior that lead the knowledge sharing attitude between them.
Keywords: Behavior; Knowledge Sharing; Confidence; Theory Of Reasoned Action; Mutual Understating.
A Descriptive Statistical Analysis of the Profiles of Massive Open Online Course users and non-users in India
by Sangeeta Trehan, Rakesh Mohan Joshi
Abstract: The current paper presents our research regarding differences between Massive Open Online Course (MOOC) users and non-users. Extant literature, mostly in the Western and also Chinese contexts, has evidence regarding the demographic profiles of MOOC users. Limiting our research to the Indian context, we attempted to study MOOC-users and non-users using self-reported survey data. Our descriptive analysis allowed us to characterize the user base at micro-level and to find significant differences between users and non-users - among other things, age, education, general online efficacy, communicative online efficacy and self-directed learning preference emerge as significant distinguishers. These findings are on expected lines and in practical terms highlight some of the learner-level characteristics and capabilities that facilitate adoption of online learning through MOOCs in a developing country like India.
Keywords: Massive Open Online Course; MOOC; MOOC adoption; conditional average; subgroup characterization; comparison of means; Tukey simultaneous confidence intervals.
Multi-Level Computer Aided Learner Assessment in Massive Open Online Courses
by Lynda Haddadi, Farida Bouarab-Dahmani
Abstract: Assessment is at the heart of Massive Open Online Courses (MOOC) challenges. It is also a core component for any effective learning. In this paper, we provide a general survey of the various forms of assessment in MOOCs. Then, we propose gradual automated learners assessment based on ODALA approach. Our proposition focuses on an assessment pyramid with four levels: Closed-ended questions, Half-open questions, Open-ended questions and Problem Solving (PS). This pyramid is the backbone of the learning process since it needs a gradual progression with an adequate methodology. Various computer aided or completely automated assessment activities are proposed. The transition from a level to another is a conditional one since there are minimal threshold of disciplinary knowledge acquisition. An evaluation prototype was tested with the Algorithmic discipline and was developed to access the feasibility of our proposition
Keywords: Massive Open Online Courses; Learner Assessment; Automated Assessment; Assessment Pyramid; ODALA approach.
The Effect of Contents on 6th Graders understanding about the height of triangles
by Mi Jin Lee, Kwangho Lee
Abstract: By classifying the errors that elementary school students have at the height of a triangle by the types and positions of a triangle and collecting data on eye movement, this study investigated whether developed contents have any effect on fixing these errors. The height of the contents of a triangle used were effective in connecting and confirming the concept definition and the concept image of the height of a triangle. However, the contents were ineffective in fixing the errors of the students who thought the segments which were of a length with the height could also be counted as the height of a triangle.
Keywords: the height of triangles; triangle altitude; error types; the effect of contents; eye movement; the concept definition; the concept image.
Simulation of Language Competition by Bilingual Agents
by Rakesh Kumar, ShivKishan Dubey
Abstract: The phenomenon of language transmission is similar to cultural transmission in
human society where a person shares different ways of his/her own lexicons to other people or community. Every person (agent) is able to develop or reproduce new lexicons through the old ones and this particular phenomenon is mostly expressed as lexicon modification. Main objective of this research is to explore how lexicons can be modified when any two different language (L1 or L2) community agents interact with each other in given scenarios preferentially synchronic or diachronic. In this research, a new model has been proposed within a game of language competition strategy using bilingual agents. The outcome of this research suggests that if lexicons of L1 communitys agent are used and interact to L2 communitys agent in the synchronic environment, massive second-languages codes are affected and propagated into next generation for successful communication. Initially, all these matured agents are stimulated by Iterated learning Model (ILM) and agents inserted to it are fully equipped with their own grammar rules and sample datasets. These agents are able to generate new lexicons and modify the utterances to the next generation using concept of Levenshtein Distance. The above game strategy is restricted only to synchronic communication and our results clearly show that second language always wins the race of assumed language competition game.
Keywords: NLP; Iterated learning model; Language acquisition; Bilingualism; Exposure ratio.