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The promotion of life skills in learners is especially challenging in distance and online environments where the learners' physical absence from the classroom hinders the evaluation of these types of skills. Due to the great challenges brought about by this physical absence, there is a lack of empirical studies attempting to examine life skills in web-based scenarios. This study therefore aimed to fill the existing gap in operationalizing the role of life skills for online learning through the capability approach (CA). This exploration was conducted under the umbrella of Nussbaum's version of the CA. Specifically, our study contributes by devising an integrative and comprehensive teaching and learning framework for open educational practices based on the CA, and by introducing a new instrument that has been adapted to this context. Methodologically, the design and validation of the instrument involved a four-stage process. First, Nussbaum's list of central human capabilities was operationalized for online learning. Then, in the second stage, a qualitative content validity check was performed to verify whether the instrument was appropriate and comprehensive in terms of what it was intended to measure. The aim of the third and fourth stages was to quantitatively assess the reliability and validity of the questionnaire. For the third stage, the instrument was pre-tested through a modified version of the Q-sort method. In the fourth stage, non-parametric tests were used to validate the internal consistency and content validity of the questionnaire. Thirty experts from the areas of online education, philosophy, and statistics took part in these stages.

This paper determines which instructional roles and outputs are important in the 21st century from the perspective of students in asynchronous learning environments. This research work uses a literature review, in-depth interviews with experts, and a pilot study with students to define the instructors' outputs. Following this, roles are determined by using a quantitative methodology (in a sample of 925 students). To our knowledge, the remaining research works on this topic identify the online instructors' roles by a qualitative analysis. The findings suggest that a new role, the life skill promoter, has emerged. Furthermore, analysis of the remaining roles (pedagogical, designer, social, technical and managerial) showed that: (i) online instructors are, first and foremost, pedagogues; (ii) the design of the particular online program influences the pedagogical and designer roles and; (iii) the managerial role has declined in importance over the years due to the development of more intuitive and transparent online scenarios from the beginning of the course onward.

This article describes the development of an application for the grading and provision of feedback on educational processes. The too, named "EduZinc," enables instructors to go through the complete process of creating and evaluating the activities and materials of a course. The application enables for the simultaneous management of two teaching-related aspects: (a) creation of individualized learning products (activities, tests and exams) and (b) automatic grading (for every learning product; automated creation of student, class, and competency-based reports; and delivery of personalized reports to students, instructors and tutors). The system also has a series of warnings in place to notify instructors and tutors when a student is falling behind. As a means to reward the efforts made during the course, the program keeps relevant statistics, notifying when a student is excelling in the course.

In this paper, we have developed a classification model for online learning environments that relates the Instructors Overall Performance (IOP) rating (according to students' perceptions) with the course characteristics, students' demographics and the effectiveness of the instructor in his/her teaching roles. To that end, a comprehensive Student Evaluation of Teaching (SET) instrument is proposed, which includes not only conventional teaching elements, but also items that encourage twenty-first century skills. The goal of the study is twofold: (i) to quantify the extent to which the selected variables explain the IOP rating, and (ii) determine which teaching and non-teaching variables most affect the IOP rating. The best performing classifier achieved a competitive accuracy, highlighting that the selected variables mainly determine the IOP values. Other important findings include: (i) the IOP value is mainly influenced by the effectiveness of the instructor in his/her teaching roles; (ii) teaching strategies that involve the cooperation between the technical and pedagogical roles should be promoted; (iii) the pedagogical role has the highest impact on the final IOP value; and (iv) the most influential demographic variable is the student's status (working commitments and family responsibilities).

The topic of online instructors' roles has been of interest to the educational community since the late twentieth century. In previous studies, the identification of online instructors' roles was done using a top-down (deductive) approach. This study applied a bottom-up (inductive) procedure to examine not only the roles of online instructors from a student perspective, but also how well these roles are implemented in practice. In the first stage, roles were defined using factor analysis on a sample of 925 students. A questionnaire was created after an extensive literature review and in-depth interviews with experts. The methodology detected six roles: pedagogical, course designer, social, life skills promoter, technical, and managerial. In the second stage, students' scores were projected over those factors to obtain the instructors' performance in each role (the significance of the results was assessed using non-parametric tests). Main findings included: (i) the emergence of a new role, the life skills promoter; (ii) online scenarios becoming more transparent and intuitive due to syllabus design; (iii) the consideration of more audio-visual resources by instructors in asynchronous learning environments; and (iv) the value of offering guidelines to students for collaborative activities to reduce the level of frustration with these activities.

This article explores the quality of the online learning experience based on the Sloan-C framework and the Online Learning Consortium's (OLC) quality scorecard. The OLC index has been implemented to evaluate quality in online programs from different perspectives. Despite this, the opinions of learners are ignored, and it is built using feedback from experts and panelists while ignoring the factors that teachers consider important during their lectures. We propose an alternative way of measuring the quality of online learning programs by analyzing the satisfaction of the learning experience and using teachers and students' perceptions. The 11 categories composing the index were weighted in the teacher and student indices using principal component analysis, and finally these two indices were linearly combined with a parameter that defines the importance of each body. Findings show that while teachers perceive collaborative learning variables as crucial, learners are more concerned with their own learning benefits.

Due to the increasingly multicultural nature of e-learning environments, it is critical that instructors and instructional designers be aware of the importance of cultural factors in education and that they deliver culturally adaptive instruction. The main challenge of this paper is identifying the critical success factors for multicultural online learning from learners' perceptions and their relationships with the six-dimensional Hofstede cultural model. Specifically, a categorization of the students' perceptions is proposed by combining multiple correspondence and clustering analyses. To that end, two surveys were conducted in four e-learning universities in four different countries: Spain, the USA, China, and Mexico. Findings from clustering analysis show that learners are categorized according to their autonomy levels at the beginning of the educational process, and they are classified according to their satisfaction levels at the end of the instruction.

This study examines success factors in online learning from the instructors' perspective. Academic success comprises not only student satisfaction and good grades, but also perception of learning and knowledge transfer. A systemic model of inputs-process-outputs of learning was used. A total of 322 online teachers from four different universities and countries were used to study factors of attainment. Findings suggest that: (i) instructors from the University of Peking and the Autonomous Popular University of the State of Puebla reported learner factors as the most important for students on online courses, (ii) instructors from the University of New Mexico perceived institutional factors as the most important for establishing effective online learning and (iii) instructors from the Open University of Catalonia reported outcome factors as the most important for learners in online courses. Compared with other research results in online learning, instructors in this study generally reflect a greater concern about the content, social presence, instruction and their interactions than about technological matters.

This paper determines which instructional roles and outputs are important in the 21st century from the perspective of students in asynchronous learning environments. This research work uses a literature review, in-depth interviews with experts, and a pilot study with students to define the instructors' outputs. Following this, roles are determined by using a quantitative methodology (in a sample of 925 students). To our knowledge, the remaining research works on this topic identify the online instructors' roles by a qualitative analysis. The findings suggest that a new role, the life skill promoter, has emerged. Furthermore, analysis of the remaining roles (pedagogical, designer, social, technical and managerial) showed that: (i) online instructors are, first and foremost, pedagogues; (ii) the design of the particular online program influences the pedagogical and designer roles and; (iii) the managerial role has declined in importance over the years due to the development of more intuitive and transparent online scenarios from the beginning of the course onward. [ABSTRACT FROM AUTHOR]

Educational data mining (EDM) is a research area where the goal is to develop data mining methods to examine data critically from educational environments. Traditionally, EDM has addressed the following problems: clustering, classification, regression, anomaly detection and association rule mining. In this paper, the ordinal regression (OR) paradigm, is introduced in the field of EDM. The goal of OR problems is the classification of items in an ordinal scale. For instance, the prediction of students' performance in categories (where the different grades could be ordered according to A ≻ B ≻ C ≻ D) is a classical example of an OR problem. The EDM community has not yet explored this paradigm (despite the importance of these problems in the field of EDM). Furthermore, an amenable and interpretable OR model based on the concept of gravitation is proposed. The model is an extension of a recently proposed gravitational model that tackles imbalanced nominal classification problems. The model is carefully adapted to the ordinal scenario and validated with four EDM datasets. The results obtained were compared with state-of-the-art OR algorithms and nominal classification ones. The proposed models can be used to better understand the learning-teaching process in higher education environments. [ABSTRACT FROM AUTHOR]