Carlos Delgado Kloos
Biographic Data
| ID | 8988634 |
|---|---|
| NAME | Carlos Delgado Kloos |
| GIVEN NAMES | Carlos Delgado |
| FAMILY NAME | Kloos |
| SIGNATURE | KLOOS C D |
| AFFILIATIONS | Universidad Carlos III de Madrid |
| ORCID | 0000-0003-4093-3705 |
| VERIFIED | Yes |
| TOTAL WORKS | 16 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 16 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2007 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Smart Groups
COVID-19 has brought new hybrid learning environments with some students in the classroom and some others online, synchronously, due to the needs of social distancing. These new hybrid learning environments pose new challenges, for example for group collaboration. This paper presents Smart Groups, a system aimed at helping teachers to orchestrate collaboration in hybrid learning environments and assesses its usability and usefulness through a sim…
A four-country cross-case analysis of academic staff expectations about learning analytics in higher education
Adaptive learning module for a conversational agent to support Mooc learners
Massive open online courses (MOOCs) pose a challenge for instructors when trying to provide personalised support to learners, due to large numbers of registered participants. Conversational agents can be of help to support learners when working with MOOCs. This article presents an adaptive learning module for JavaPAL, a conversational agent that complements a MOOC on Java programming, helping learners review the key concepts of the MOOC. This ada…
Analysing self-regulated learning strategies of Mooc learners through self-reported data
Massive open online courses (MOOCs) require registered learners to be autonomous in their learning. Nevertheless, prior research studies showed that many learners lack the necessary self-regulated learning (SRL) skills to succeed in MOOCs. This research study aimed to gain insights into the relationships that exist between SRL and background information from MOOC learners. To this end, a series of three MOOCs on computer programming offered throu…
Analyzing learners’ engagement and behavior in Moocs on programming with the Codeboard IDE
Temporal analysis for dropout prediction using self-regulated learning strategies in self-paced Moocs
Learning analytics in European higher education—Trends and barriers
Assessing the validity of a learning analytics expectation instrument
To assist higher education institutions in meeting the challenge of limited student engagement in the implementation of Learning Analytics services, the Questionnaire for Student Expectations of Learning Analytics (SELAQ) was developed. This instrument contains 12 items, which are explained by a purported two‐factor structure of “Ethical and Privacy Expectations” and “Service Feature Expectations.” As it stands, however, the SELAQ has only been v…
Augmented Reality-Based Simulators as Discovery Learning Tools
This paper reports empirical evidence on having students use AR-SaBEr, a simulation tool based on augmented reality (AR), to discover the basic principles of electricity through a series of experiments. AR-SaBEr was enhanced with knowledge-based support and inquiry-based scaffolding mechanisms, which proved useful for discovery learning in Web-based simulation environments. Learning performance factors evaluated included students' learning behavi…
Motivation and Emotions in Competition Systems for Education
A lack of student motivation is a problem in many courses in electrical engineering. Introducing competition between students can enhance their motivation, but it can also generate negative emotions. This paper presents an empirical study of students in a telecommunications engineering degree; it measured their level of motivation, and their emotions about competition in education in general, and in particular about the Information System for Com…
Impact of an augmented reality system on students' motivation for a visual art course
Sending Learning Pills to Mobile Devices in Class to Enhance Student Performance and Motivation in Network Services Configuration Courses
Teaching electrical and computer software engineers how to configure network services normally requires the detailed presentation of many configuration commands and their numerous parameters. Students tend to find it difficult to maintain acceptable levels of motivation. In many cases, this results in their not attending classes and not dedicating enough time to acquire the required competencies. This paper describes a successful experiment that …
Enhancement of Student Learning Through the Use of a Hinting Computer e-Learning System and Comparison With Human Teachers
This paper reports the results of an experiment in a Computer Architecture Laboratory course classroom session, in which students were divided into two groups for interaction both with a hinting e-learning system and with human teachers generating hints. The results show that there were high learning gains for both groups, demonstrating the effectiveness of the human teachers as well as of the computer-based hinting e-learning system even without…
Analyzing Convergence in e-Learning Resource Filtering Based on ACO Techniques
The use of swarm intelligence techniques in e-learning scenarios provides a way to combine simple interactions of individual students to solve a more complex problem. After getting some data from the interactions of the first students with a central system, the use of these techniques converges to a solution that the rest of the students can successfully use. This paper uses a case study to analyze how fast swarm intelligence techniques converge …
Student Behavior and Interaction Patterns With an LMS as Motivation Predictors in E-Learning Settings
Student motivation is an important factor for the successful completion of an e-learning course. Detecting motivational problems for particular students at an early stage of a course opens the door for instructors to be able to provide additional motivating activities for these students. This paper analyzes how the behavior patterns in the interaction of each particular student with the contents and services in a learning management system (LMS) …
Creating and Deploying Effective eLearning Experiences Using .LRN
The significant quality increase in open-source e-learning platforms allows for large-scale e-learning courses with significantly reduced costs. This document describes a pedagogical model enhanced for effectively providing courses to a large number of students and producing media-rich content suitable to be managed by the open-source e-learning platform .LRN. Two case studies are presented: 1) a course for high school students to increase the po…
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Creating and Deploying Effective eLearning Experiences Using .LRN
The significant quality increase in open-source e-learning platforms allows for large-scale e-learning courses with significantly reduced costs. This document describes a pedagogical model enhanced for effectively providing courses to a large number of students and producing media-rich content suitable to be managed by the open-source e-learning platform .LRN. Two case studies are presented: 1) a course for high school students to increase the po…
Analyzing Convergence in e-Learning Resource Filtering Based on ACO Techniques
The use of swarm intelligence techniques in e-learning scenarios provides a way to combine simple interactions of individual students to solve a more complex problem. After getting some data from the interactions of the first students with a central system, the use of these techniques converges to a solution that the rest of the students can successfully use. This paper uses a case study to analyze how fast swarm intelligence techniques converge …
Student Behavior and Interaction Patterns With an LMS as Motivation Predictors in E-Learning Settings
Student motivation is an important factor for the successful completion of an e-learning course. Detecting motivational problems for particular students at an early stage of a course opens the door for instructors to be able to provide additional motivating activities for these students. This paper analyzes how the behavior patterns in the interaction of each particular student with the contents and services in a learning management system (LMS) …
Enhancement of Student Learning Through the Use of a Hinting Computer e-Learning System and Comparison With Human Teachers
This paper reports the results of an experiment in a Computer Architecture Laboratory course classroom session, in which students were divided into two groups for interaction both with a hinting e-learning system and with human teachers generating hints. The results show that there were high learning gains for both groups, demonstrating the effectiveness of the human teachers as well as of the computer-based hinting e-learning system even without…
Sending Learning Pills to Mobile Devices in Class to Enhance Student Performance and Motivation in Network Services Configuration Courses
Teaching electrical and computer software engineers how to configure network services normally requires the detailed presentation of many configuration commands and their numerous parameters. Students tend to find it difficult to maintain acceptable levels of motivation. In many cases, this results in their not attending classes and not dedicating enough time to acquire the required competencies. This paper describes a successful experiment that …
Impact of an augmented reality system on students' motivation for a visual art course
Motivation and Emotions in Competition Systems for Education
A lack of student motivation is a problem in many courses in electrical engineering. Introducing competition between students can enhance their motivation, but it can also generate negative emotions. This paper presents an empirical study of students in a telecommunications engineering degree; it measured their level of motivation, and their emotions about competition in education in general, and in particular about the Information System for Com…
Augmented Reality-Based Simulators as Discovery Learning Tools
This paper reports empirical evidence on having students use AR-SaBEr, a simulation tool based on augmented reality (AR), to discover the basic principles of electricity through a series of experiments. AR-SaBEr was enhanced with knowledge-based support and inquiry-based scaffolding mechanisms, which proved useful for discovery learning in Web-based simulation environments. Learning performance factors evaluated included students' learning behavi…
Analyzing learners’ engagement and behavior in Moocs on programming with the Codeboard IDE
Temporal analysis for dropout prediction using self-regulated learning strategies in self-paced Moocs
Learning analytics in European higher education—Trends and barriers
Assessing the validity of a learning analytics expectation instrument
To assist higher education institutions in meeting the challenge of limited student engagement in the implementation of Learning Analytics services, the Questionnaire for Student Expectations of Learning Analytics (SELAQ) was developed. This instrument contains 12 items, which are explained by a purported two‐factor structure of “Ethical and Privacy Expectations” and “Service Feature Expectations.” As it stands, however, the SELAQ has only been v…
A four-country cross-case analysis of academic staff expectations about learning analytics in higher education
Adaptive learning module for a conversational agent to support Mooc learners
Massive open online courses (MOOCs) pose a challenge for instructors when trying to provide personalised support to learners, due to large numbers of registered participants. Conversational agents can be of help to support learners when working with MOOCs. This article presents an adaptive learning module for JavaPAL, a conversational agent that complements a MOOC on Java programming, helping learners review the key concepts of the MOOC. This ada…
Analysing self-regulated learning strategies of Mooc learners through self-reported data
Massive open online courses (MOOCs) require registered learners to be autonomous in their learning. Nevertheless, prior research studies showed that many learners lack the necessary self-regulated learning (SRL) skills to succeed in MOOCs. This research study aimed to gain insights into the relationships that exist between SRL and background information from MOOC learners. To this end, a series of three MOOCs on computer programming offered throu…
Smart Groups
COVID-19 has brought new hybrid learning environments with some students in the classroom and some others online, synchronously, due to the needs of social distancing. These new hybrid learning environments pose new challenges, for example for group collaboration. This paper presents Smart Groups, a system aimed at helping teachers to orchestrate collaboration in hybrid learning environments and assesses its usability and usefulness through a sim…
Computer Science (15 works) · Psychology (12 works) · Mathematics education (10 works) · Online Learning and Analytics (8 works) · E-Learning and Knowledge Management (7 works) · Multimedia (7 works) · Innovative Teaching and Learning Methods (6 works) · Human–computer interaction (5 works) · Online and Blended Learning (5 works) · Artificial Intelligence (4 works)