The ability to predict a student's performance could be useful in great number of different ways associated with university-level distance learning. Students' key demographic characteristics and their marks on few written assignments can constitute the training set for supervised machine learning algorithm. algorithm then able new students, thus becoming tool identifying predicted poor performers. scope this work is compare some state art algorithms. Two experiments have been conducted six...

This paper reports the results of a survey conducted to examine root causes leading student dropout at Greek distance education university. Data was gathered from two different courses – an undergraduate course Bachelors degree in Informatics (characterized by high rates), and postgraduate Masters low rates). A comparative analysis these revealed important similarities percentages reasons cited students for dropping out. Our also differences as well. presents designed investigate...

1 University of Patras (GREECE)2 2nd Elementary School Kato Achaia (GREECE)3 Agios Vasileios, (GREECE)4 Lappa, (GREECE)

As gamification may benefit the learning experience, many Technology Acceptance Models affecting user's acceptance of using have been investigated. However, there has limited work on digital skills level and adoption user gamification. This paper examines perceptions in e- environments. For this reason, a research model based Model (TAM) proposed to reveal relationships between constructs participants with different e-skills Level. The search data collected from 188 Massive Open Online...

When working in teams, the work of each team member is difficult to assess fairly because it not often distinguishable final deliverable, and when teamwork applied, outcome isn’t just a simple summatioin individual contributions. Steps towards more objective/fair student performance evaluation could be based on peer ranking everyone’s work, at same time tracking contributions through digital traces collaborative environment. The objectives this study were cross-examine these methods propose...

Students that enroll in the undergraduate program on informatics at Hellenic Open University (HOU) demonstrate significant difficulty advancing beyond introductory course. We have embarked an effort to analyze their academic performance throughout year, as measured by homework assignments, and attempt derive short rules explain predict success or failure final exams. In this paper we review previous approaches, compare them with genetic algorithm-based induction of decision trees, argue why...

Learning outcomes are statements that should accompany any type of educational material intended for lifelong learning. These deliver important information, which works as an indicator students in the process However, order this information to be further utilizable within context intelligent e-learning applications, a more fine-grained definition and structure adopted. Having these mind, we initially assign strict rather technical notion learning outcomes, is fully aligned, though, with...

Open Learning movement opens up opportunities for the collaboration between institutions, educators and learners globally, enabling more meaningful engagement in teaching learning. Massive Online Courses (MOOCs), one of latest internet revolutions, boasting tens or hundreds thousands participants worldwide, and, hence, present an intense interest by research education community. Particularly, there is a strong investigating added value collaborative features enriching development process, as...

Applying data mining methods in the educational field has gained a lot of attention among researchers recent years. Educational Data Mining turned into an effective tool for uncovering hidden relationships and predicting students’ learning outcomes. Several supervised have been successfully applied with purpose identifying students at risk failing or their academic performance. Recently, implementation Semi-Supervised Learning (SSL) process indicated superiority over ones. SSL is emerging...

Several data mining techniques are currently applied in many areas with great success. Various educational systems collect and use huge amount of on students, staff faculty. Researchers have the potential to employ such datasets examine students' performance over their learning time-from one semester another or from academic year another. Student's key demographic characteristics, number examination attempts per course final grade each can provide training infer a regression function that...

In recent years, students' performance prediction has been identified as one of the most essential and challenging research topics for educational institutions. The necessity exploitation analysis data originating from several contexts led to a widespread implementation familiar machine learning methods trying effectively analyse academic behaviour predict their performance. early detection low performers is major importance open universities seeking decrease dropout ratios, improve outcomes...

1 University of Patras (GREECE)2 2nd Elementary School Kato Achaia (GREECE)3 Agios Vasileios, (GREECE)4 Lappa, (GREECE)

Educational content plays a significant role in the process of delivering knowledge, that's why it needs to be designed carefully, following designated principles. Learning Objects (LOs) constitute novel approach educational content's organization, bearing features that if effectively used could lead enhanced e-learning services. What is missing from literature, though, common agreement about LO's attributes and structure. For this reason, we initially try specify main characteristics LO...

Over the last few years, Massive Open Online Courses (MOOCs) have expanded rapidly and tend to become most typical form of online distance higher education. As a result, tremendous amount data is generated stored on MOOCs learning platforms. In any case, this should be effectively transformed into knowledge, thus providing valuable feedback learners, enhancing decision making practices in educational field. Despite benefits prospects that offer there considerable divergence between...

The present research focuses on the digital transformation Greek Public School underwent, within a few months, due to Covid - 19 crisis. need for digitally transformed education system that meets requirements of 21 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">st</sup> century and is characterized using educational computing technologies [1], was highlighted by coronavirus pandemic. Furthermore, units into learning organizations [2] which are...

The use of telemedicine in speech and language pathology provides patients rural remote areas with access to quality rehabilitation services that are sufficient, accessible, user-friendly leading new possibilities comprehensive long-term, cost-effective diagnosis therapy. This paper discusses the online collaboration environments for various applications therapy which include group scenarios, multidisciplinary clinical consulting team, mentoring continuing education.