Design study of OER-CC ontology: a semantic web approach to describe open educational resources

Through the application of semantic technologies to describe Open Educational Resources, any agent (human or software-based) could process and understand its contents; therefore, the agent could perform tasks autonomously or in a more effective way. In this paper, we describe the design and validation of the OER-CC ontology, which models the domain knowledge of educational resources licensed under Creative Commons Licenses. One of the most important contributions of this work is that we implement different rules and axioms to identify inconsistencies between rights provided by a licensed on an learning material and particular uses that are performed on it

An AI-based open recommender system for personalized labor market driven education

Attaining those skills that match labor market demand is getting increasingly complicated, not in the last place in engineering education, as prerequisite knowledge, skills, and abilities are evolving dynamically through an uncontrollable and seemingly unpredictable process. Anticipating and addressing such dynamism is a fundamental challenge to twenty-first century education. The burgeoning availability of data, not only on the demand side but also on the supply side (in the form of open educational resources) coupled with smart technologies, may provide a fertile ground for addressing this challenge. In this paper, we propose a novel, Artificial Intelligence (AI) driven approach to the development of an open, personalized, and labor market oriented learning recommender system, called eDoer. We discuss the complete system development cycle starting with a systematic user requirements gathering, and followed by system design, implementation, and validation. Our recommender prototype (1) derives the skill requirements for particular occupations through an analysis of online job vacancy announcements(2) decomposes skills into learning topics(3) collects a variety of open online educational resources that address those topics(4) checks the quality of those resources and topic relevance with three intelligent prediction models(5) helps learners to set their learning goals towards their desired job-related skills(6) recommends personalized learning pathways and learning content based on individual learning goalsand (7) provides assessment services for learners to monitor their progress towards their desired learning objectives. Accordingly, we created a learning dashboard focusing on three Data Science related jobs and conducted an initial validation of eDoer through a randomized experiment. Controlling for the effects of prior knowledge as assessed by means of a pretest, the randomized experiment provided tentative support for the hypothesis that learners who engaged with personal recommendations provided by eDoer to acquire knowledge of basic statistics, attained higher scores on the posttest than those who did not. The hypothesis that learners who received personalized content in terms of format, length, level of detail, and content type, would achieve higher scores than those receiving non-personalized content was not supported

Designing MOOC:a shared view on didactical principles

The innovative impact of the paper can be highlighted by the following statements: 1. Applying the Group Concept Mapping, a non-traditional and power research methodology for objectively identifying the shared vision of a group of experts on MOOC didactical principles. 2. Defining MOOC didactical principles and their operationalisations in more concrete guidelines. 3. Formulating suggestions for combining xMOOC and cMOOC.Supported by European Commission, DG EAC, under the Erasmus+ Programm

Domestication of open educational resources by academics in an open distance e-learning institution of South Africa

The emergence of open educational resources has gained popularity and acceptance in higher education institutions and beyond the basic education sector. This brought a persisting shift in depending on information communication technologies for tuition and research provision. Information technology artifact was not treated in isolation to user perspective. The study established how academics accept, feel, perceive, and what skills, opportunities, challenges exist to hinder the domestication. The study context had no uniform guidelines or tools and policy in place for the domestication of open educational resources. The study adopted the exploratory approach guided by the interpretivism paradigm. The study employed Domestication theory. This study conducted in an heterogenous single case study, which is the open distance e-learning (University of South Africa). That was done for an in-depth investigation by relying on multi-methods for data triangulation such as semi-structured interviews, focus group interviews, document analysis, and actual artifact analysis. The total of participants were 52. The study found that most academics played a role in the domestication of open educational resources besides the minority who were unable. The experience and prior knowledge were found to be a factor hindering the domestication process. Open distance e-learning found to relevant space for open educational resources. Such institutions play a role in the adoption and development of open educational resources and mostly rely in information technology for tuition and research. Information technology infrastructure found to be an enabler and disabler in the domestication process. This study contribution to the world of knowledge is based on the theory and practice. Eight theoretical propositions were suggested. The study further contributed by extension of domestication theory as recommended two additional phases which are non-appropriation and dis-appropriation. The current proposed Domestication theory has five phases. Lastly, the study recommended the actual guidelines for adoption and development of open educational resources. This guideline can be adopted by higher education institutions by infusing them in policy development or for general guidance in actual adoption and developments